Science + Tech – The Conversation

AI in the courtroom: the dangers of using ChatGTP in legal practice in South Africa

2025-11-04T15:05:02Z

A South African court case made headlines for all the wrong reasons in January 2025. The legal team in Mavundla v MEC: Department of Co-Operative Government and Traditional Affairs KwaZulu-Natal and Others had relied on case law that simply didn’t exist. It had been generated by ChatGPT, a generative artificial intelligence (AI) chatbot developed by OpenAI.

Only two of the nine case authorities the legal team submitted to the High Court were genuine. The rest were AI-fabricated “hallucinations”. The court called this conduct “irresponsible and unprofessional” and referred the matter to the Legal Practice Council, the statutory body that regulates legal practitioners in South Africa, for investigation.

It was not the first time South African courts had encountered such an incident. Parker v Forsyth in 2023 also dealt with fake case law produced by ChatGPT. But the judge was more forgiving in that instance, finding no intent to mislead. The Mavundla ruling marks a turning point: courts are losing patience with legal practitioners who use AI irresponsibly.

We are legal academics who have been doing research on the growing use of AI, particularly generative AI, in legal research and education. While these technologies offer powerful tools for enhancing efficiency and productivity, they also present serious risks when used irresponsibly.

Aspiring legal practitioners who misuse AI tools without proper guidance or ethical grounding risk severe professional consequences, even before their careers begin. Law schools should equip students with the skills and judgment to use AI tools responsibly. But most institutions remain unprepared for the pace at which AI is being adopted.

Very few universities have formal policies or training on AI. Students are left with no guide through this rapidly evolving terrain. Our work calls for a proactive and structured approach to AI education in law schools.

When technology becomes a liability

The advocate in the Mavundla case admitted she had not verified the citations and relied instead on research done by a junior colleague. That colleague, a candidate attorney, claimed to have obtained the material from an online research tool. While she denied using ChatGPT, the pattern matched similar global incidents where lawyers unknowingly filed AI-generated judgments.

In the 2024 American case of Park v Kim, the attorney cited non-existent case law in her reply brief, which she admitted was generated using ChatGPT. In the 2024 Canadian case of Zhang v Chen, the lawyer filed a notice of application containing two non-existent case authorities fabricated by ChatGPT.

The court in Mavundla was unequivocal: no matter how advanced technology becomes, lawyers remain responsible for ensuring that every source they present is accurate. Workload pressure or ignorance of AI’s risks is no defence.

The judge also criticised the supervising attorney for failing to check the documents before filing them. The episode underscored a broader ethical principle: senior lawyers must properly train and supervise junior colleagues.

The lesson here extends far beyond one law firm. Integrity, accuracy and critical thinking are not optional extras in the legal profession. They are core values that must be taught and practised from the beginning, during legal education.

The classroom is the first courtroom

The Mavundla case should serve as a warning to universities. If experienced legal practitioners can fall into AI traps regarding law, students still learning to research and reason can too.

Generative AI tools like ChatGPT can be powerful allies – they can summarise cases, draft arguments and analyse complex texts in seconds. But they can also confidently fabricate information. Because AI models don’t always “know” when they are wrong, they produce text that looks authoritative but may be entirely false.

For students, the dangers are twofold. First, over-reliance on AI can stunt the development of critical research skills. Second, it can lead to serious academic or professional misconduct. A student who submits AI-fabricated content could face disciplinary action at university and reputational damage that follows them into their legal career.

In our paper we argue that, instead of banning AI tools outright, law schools should teach students to use them responsibly. This means developing “AI literacy”: the ability to question, verify and contextualise AI-generated information. Students should learn to treat AI systems as assistants, not authorities.

In South African legal practice, authority traditionally refers to recognised sources such as legislation, judicial precedent and academic commentary, which lawyers cite to support their arguments. These sources are accessed through established legal databases and law reports, a process that, while time-consuming, ensures accuracy, accountability and adherence to the rule of law.

From law faculties to courtrooms

Legal educators can embed AI literacy into existing courses on research methodology, professional ethics and legal writing. Exercises could include verifying AI-generated summaries against real judgments or analysing the ethical implications of relying on machine-produced arguments.

Teaching responsible AI use is not simply about avoiding embarrassment in court. It is about protecting the integrity of the justice system itself. As seen in Mavundla, one candidate attorney’s uncritical use of AI led to professional investigation, public scrutiny and reputational damage to the firm.

The financial risks are also real. Courts can order lawyers to pay costs out of their pockets, when serious professional misconduct occurs. In the digital era, where court judgments and media reports spread instantly online, a lawyer’s reputation can collapse overnight if they are found to have relied on fake or unverified AI material. It would also be beneficial for courts to be trained in detecting fake cases generated by AI.

The way forward

Our study concludes that AI is here to stay, and so is its use in law. The challenge is not whether the legal profession should use AI, but how. Law schools have a critical opportunity, and an ethical duty, to prepare future practitioners for a world where technology and human judgment must work side by side.

Speed and convenience can never replace accuracy and integrity. As AI becomes a routine part of legal research, tomorrow’s lawyers must be trained not just to prompt – but to think.

The authors do not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

Where did the first people come from? The case for a coastal migration from southern Africa

2025-10-30T14:17:56Z

The origins and migrations of modern humans around the world are a hot topic of debate. Genetic analyses have pointed to Africa as the continent from which our ancestors dispersed in the Late Pleistocene epoch, which began about 126,000 years ago. Various dispersal routes have been suggested.

As a group of scientists who have been studying human evolution, we propose in a recently published review paper that the coast of southern Africa was likely where Homo sapiens began this worldwide journey. We suggest that some people started leaving this area about 70,000 years ago, took a route along the east coast and left the continent about 50,000 to 40,000 years ago.

We base this hypothesis on various kinds of evidence, including geography, climate and environment, marine food resources, genetics, trace fossils, and the technical and cultural abilities of people in that region at that time. The reasons for migration and the advantages of a coastal route out of Africa, compared to an inland route, are outlined in our review.

This proposed route is counter to the current belief among most scientists that the Out-of-Africa migration began in eastern Africa and not southern Africa.

A southern Cape origin?

In our review we accepted that modern humans arose in Africa during the Middle Stone Age about 200,000 years ago and then replaced populations of hominins outside the continent between 60,000 and 40,000 years ago.

We suggested that their African origin was in the southern Cape region of what’s now South Africa, and that their migration along the eastern African coastline and onto the Arabian Peninsula may have happened over a period of less than 20,000 years.

In reviewing available evidence, we focused on the possibility that our ancestors in coastal South Africa were ideally placed to colonise the world. They had an enabling culture that allowed them to survive almost anywhere.

The Pinnacle Point cave complex and other sites in this area are a UNESCO World Heritage Site because they provide the most varied and best-preserved record known of the development of modern human behaviour, reaching back as far as 162,000 years.

Food from the sea, like shellfish, set southern Cape Homo sapiens on their evolutionary path to becoming advanced modern humans. They had an advantage over those who relied solely on hunting and food gathering inland, especially during cold and dry periods on the African subcontinent. The harnessing of bow and arrow technology was also key for their success when compared to other hominins during the same period.

Climate and culture

Episodes of global cooling, also known as ice ages, resulted in a global lowering of sea levels, and had two main effects in Africa. One was that the width of the Red Sea between the Horn of Africa and the Arabian Peninsula narrowed. The other was that in the southern Cape, a vast coastal plain was exposed, providing extra habitat and plenty of food.

Increased cognitive capacity to interpret lunar cycles would have allowed ancestral humans to undertake timed excursions to the shore over spring tidal periods. The predictable coastal food sources might also, however, have led to inter-group conflict and territoriality, which could have played a role in the exodus of groups of people from the southern Cape.

In other parts of the world, there was a cold, dry period from 190,000 years to 130,000 years ago. And the dark, long “winter” after the Mount Toba (Indonesia) super-eruption 74,000 years ago would have reduced food resources in tropical regions. Hominins in the southern Cape appear to have survived these major global climate change events and continued to advance both culturally and technologically. We know something about these advances from research at cave sites such as Klasies River, Blombos and Pinnacle Point. Forms of ancient art have been found in these caves, indicating cognitively advanced humans.

Technical advances meant that the tools carried by these people on their journey were “state of the art” for 70,000 years ago – more advanced than those possessed by other humans encountered on their migration northwards.

Evidence mounts

In summary, the idea of a coastal migration out of Africa is based on:

the earliest evidence for humans consuming seafood and developing adaptations for living close to the sea shore about 162,000 years ago
the first evidence of dedicated coastal foraging for seafood, which may have enhanced our ancestors’ cognitive capacity
the first “recipes” in early human food preparation around 82,000 years ago
among the earliest reports of bone tool technology from around 100,000 years ago, which may have been used to make complex clothing and shoes
the regular use of pigments such as red ochre as early as 162,000 years ago
palaeoart in the form of engravings in ochre dated 100,000 to 85,000 years ago, and a drawing using an ochre crayon dated to 73,000 years ago

the earliest evidence for making small stone blades around 71,000 years ago
the earliest evidence for heat treatment of stone to produce advanced tools and weapons
use of jewellery for adornment
survival during a period of climate change following the Mount Toba eruption
complementary evidence from the trace fossil (ichnology) record from the same region and time period. This includes the oldest reported use of sticks by humans, and the oldest reported evidence of humans jogging or running.

When the era of global cooling ended about 18,000 years ago and sea levels rose again, almost all of this Pleistocene landscape would have been covered by water. So it’s remarkable that so much evidence still exists.

There is no equivalent evidence of an advanced modern human presence from eastern Africa or anywhere else in the world.

Why migrate?

Why would some people choose to move and migrate? It is likely that increasing pressure from successful, growing, competing bands of humans, combined with climatic and environmental changes and a limited number of suitable cave occupation sites, provided a trigger for an initial eastward and then north-eastward migration.

At the same time, advanced cognition skills would have permitted increasing intra-group co-operation, enabling these humans to make their remarkable journey.

We think a coastal migration up and out of Africa was more likely to succeed than an overland migration. The reasons include the availability of seafood, fresh water, level ground, warm temperatures and fewer big, dangerous animals along the intertidal coastline. It seems there weren’t other people in the way either: for example, there is no evidence of an equivalent culture associated with the sea on the eastern coast of Africa.

The lack of suitable coastal caves to live in north of South Africa may have encouraged human clans to keep moving up the coast.

Out of Africa

The exit from the Horn of Africa into the Arabian Peninsula was distinctly feasible from 60,000 years ago onwards. Records from the Red Sea indicate that sea levels in the region were about 100 metres below present levels 65,000 years ago.

Our examination of the available evidence points to the southern Cape coast as a cradle of modern human development. The people of this region were ideally placed 70,000 years ago to undertake a quick and effective migration out of Africa, and then around the world.

Francis Thackeray has received funding from the National Research Foundation.

Nothing to disclose.

Alan Whitfield, Charles Helm, and Renee Rust do not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

Some animals are more equal than others: the dark side of researching popular species

2025-10-30T14:12:35Z

Biologists often form deep bonds with the species they study. For some, that relationship begins early in their careers and shapes decades of research. The connection can be personal, even affectionate, but it can also create tensions when others set their sights on the same species.

In biology, certain plants and animals are considered “charismatic species” by the general public. They capture the public imagination through beauty, uniqueness, or cultural significance. Think giant pandas, tigers, or orchids.

Many scientists are drawn to these charismatic species, but that does not always mean they have the opportunity to study them. Competition can be fierce in some academic fields.

We conducted research on these charismatic species, to understand how this field may exclude some academics and give the monopoly on research to others.

Research monopolisation can have several negative effects. For instance, samples may be less commonly shared between scientists. It may even impede an academic’s progress. This can be in the form of sabotaging a competitor’s work, stealing creative ideas and performing biased peer review of funding proposals and publications.

This behaviour doesn’t just harm individual researchers. It can weaken scientific integrity, stifle creativity and drive talented people out of academia. And while our study focused on biology, the patterns are likely echoed across competitive academic fields where prestige and resources are limited.

Charismatic species are easy to love and they’re also good for science. Research on these species attracts more funding, more media coverage, and more space in prestigious journals. But popularity comes with a cost. Our new study reveals that working on these species often fuels competition and, in some cases, fosters exclusionary behaviour.

Over 18 months, we examined academic exclusion in the biological sciences: where established researchers try to prevent potential competitors from studying their preferred animal or plant. We surveyed 826 academics across 90 countries and analysed 800 scientific papers.

The results were striking. We found a positive correlation between a species’ charisma and the impact and volume of scientific outputs. That highlights the benefits of studying such species for a researcher’s prestige and career prospects. But studying charismatic species also tended to increase the likelihood of negative workplace experiences. Younger colleagues, women and researchers based in the regions where the species actually live were the ones who suffered.

Competition and monopolies

Nearly half (46%) of survey participants said they had encountered some form of research monopolisation. Respondents linked charismatic species to greater difficulty obtaining permits or samples, strained relationships with colleagues, and cliquey work environments.

We also found a striking imbalance in participation. Researchers from universities in North America and Europe frequently studied species in Africa, South America and Asia – but the reverse was rarely true. For instance, the eastern barred bandicoot (Perameles gunnii) occurs and was only studied in Australia. The striped skunk (Mephitis mephitis) occurs in the US, where it was studied. But the Malayan culogo (Galeopterus variegatus) was commonly studied by institutions outside Malaysia, as was the aye aye (Paradoxurus hermaphroditus) from Madagascar. This pattern was less pronounced for non-charismatic species.

The result is a skewed scientific landscape. Non-charismatic species, despite their ecological importance, are often underfunded and overlooked.

Career advantages and disadvantages

For those who secure access to charismatic species, the career payoffs can be enormous. Working on them tends to result in more publications, higher citation rates and more opportunities for international collaboration.

The largest collaborative effort we found was for the charismatic cheetah (Acinonyx jubatus), with a total of 50 authors, 37 institutions and 21 countries on one paper. This effort was rewarded with a journal impact factor of 11.1 and 193 citations, showing the benefit to be gained from collaborating. These advantages feed into the academic reward system, where prestige and productivity often dictate career progression.

A journal with an impact factor of 2-3 is considered solid in most fields, 5-10 is highly regarded, and 15+ is exceptional, usually limited to big multidisciplinary journals like Nature or Science. Only a small fraction of academics (perhaps the top 5%-10%) regularly publish in those very high impact journals. Citations vary hugely by discipline and career stage. A typical early-career researcher might have 20-100 citations total, whereas established mid-career academics often have a few hundred to a few thousand.

Our study also highlights the darker side of this system. Early-career scientists and women reported higher rates of exclusion, including refusals to collaborate, appropriation of research ideas and even harassment.

Gender inequities are particularly stark, despite the biological sciences having a much more even gender balance than most other science fields. Women were less likely to participate in international collaborations, which are strongly linked to career advancement. And when women did lead studies, their papers received fewer citations than those with male first or last authors.

The first author is usually the person who did most of the hands-on work – designing the study, collecting and analysing data, and writing the first draft. The last author is typically the senior researcher or group leader who supervised the project, secured funding and guided the work conceptually. In total, of all first authors, 69% were men, and of all last authors, 81% were men. Male dominance differed depending on the study species, where charismatic mammal species scored relatively high.

Productivity in academia manifests itself in publication rates, publication visibility and citation patterns. These can have a cumulative advantage and lead to substantial inequality among researchers. In our survey, 51% of female respondents reported gender-based discrimination.

Editorial boards also play a role. Many biodiversity conservation journals have male-dominated boards and a bias towards publishing studies on charismatic species. Species preference intertwines with gender inequity. For instance, studies on large carnivores are known to be historically male-dominated, and this association may give men a head start in their careers.

Rethinking incentives

What can be done? One solution is to broaden how scientific success is measured. Instead of focusing so heavily on academic output – publications, citations and journal impact factors – institutions and funders could also value contributions such as community engagement, public communication and policy impact.

This may reduce cumulative advantage in science and increase a sense of fairness, hopefully reversing the subtle ways in which organisational logistics serve to perpetuate disparities in academic institutions.

Such measures are becoming increasingly important in biodiversity conservation, where connecting science with society is essential. By shifting incentives, we may reduce the negative side-effects that arise from competition.

Scientists themselves also have a role to play. Instead of racing to publish first, research groups could coordinate their work, share data and agree on joint publication strategies. Collaboration over competition could benefit everyone, not least the species that need protecting.

Charisma may help a species capture attention, but it shouldn’t determine who gets to study it, or who gets to succeed in science.

Laura Tensen does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Ancient antelope teeth offer surprise insights into how early humans lived

2025-10-23T14:29:33Z

Understanding what the environment looked like millions of years ago is essential for piecing together how our earliest ancestors lived and survived. Habitat shapes everything, from what food was available, to where water could be found, to how predators and prey interacted.

For decades, scientists studying South Africa’s Cradle of Humankind have tried to reconstruct the landscape in which species like Australopithecus sediba, Paranthropus robustus and Homo naledi once lived. These were hominins that inhabited the region between roughly 2.5 million and 0.25 million years ago. The Cradle of Humankind is a Unesco world heritage site that has remained the single richest source of early human fossils for over 90 years.

A long-standing idea has been that the Cradle experienced a dramatic environmental change around 1.7 million years ago: a shift from woodlands to open grasslands. This shift likely happened as global climates became cooler and drier, with stronger seasonal patterns. These broader changes, linked to the expansion of polar ice sheets and shifts in atmospheric circulation, reduced the availability of year-round rainfall in southern Africa.

Trees and shrubs, which depend on consistent moisture, gave way to hardy grasses better suited to long dry seasons and intense sunlight. In the woodlands, dense trees and shrubs had once provided leafy vegetation for browsing animals. As the landscape opened up, short grasses became dominant, supporting grazing animals.

This supposed sudden transformation was thought to have reshaped the setting in which early humans evolved, possibly influencing their diets, mobility and survival strategies.

But was there really such a sudden switch?

I’m a palaeoecologist who’s part of a team that specialises in reconstructing ancient environments by studying fossil animals. We set out to test the “sudden switch” idea, using a large dataset of fossil antelope teeth. Antelopes (bovids) are particularly useful for reconstructing past environments in Africa: they are abundant in the fossil record, they occupy a wide range of habitats today as well as in the past, and their teeth preserve clear signals of what they ate.

We examined more than 600 fossil teeth from seven well-dated sites in the Cradle, covering a broad time span from 3.2 million to 1.3 million years ago.

The results of our study were striking. Across all seven sites, spanning nearly two million years, the antelopes show consistently strong grazing signals. Grass-eating was dominant throughout the period, challenging the old model of a sudden woodland-to-grassland shift 1.7 million years ago. Instead, the evidence points to a more stable but varied landscape: a mosaic environment. Some fossil species even showed different feeding strategies from their modern relatives, highlighting that ancient antelopes adapted to past conditions in distinct ways.

This tells us more about the world early humans evolved in – but it also reminds us to be cautious. Fossil animals didn’t always behave like their modern relatives, so drawing direct parallels risks oversimplifying the past.

Dating the sites

To interpret the fossils in context, we needed to be sure of when each site formed. Previous work often relied on broad age estimates based on the types of animals found in each sediment layer – a method called biochronology – which could only give a rough idea of when different species lived. This made it difficult to line up fossils from the many cave sites in the Cradle on a reliable timeline. Thanks to recent improvements in radiometric dating, a method that finds the precise age of rocks by measuring how radioactive elements change into other elements over time, the chronology of the Cradle has been refined.

The layers of calcite deposited in caves (known as flowstones) were recently shown by geochronologists to have formed at the same time across multiple sites, providing a regional framework for the whole area. This means researchers can now compare fossils from different caves knowing they represent the same windows of time. It’s a huge step forward in testing whether environmental shifts were truly regional events.

Reading diets from teeth

The method used in this study is called dental mesowear analysis. It records the long-term impact of diet on the tooth surfaces of herbivores throughout their life. In simple terms, different diets wear teeth in different ways:

browsers (like kudu or giraffes), which eat leaves and twigs, usually have sharper cusps, because their food causes less wear on the teeth
grazers (like wildebeest or zebra), which feed mostly on grasses rich in silica and often covered in grit, develop blunter cusps from heavy tooth grinding
mixed feeders show intermediate wear, reflecting generalist behaviour and a diet that shifts with seasons or local vegetation.

By scoring cusp shape and relief on each fossil tooth, we assessed whether past populations leaned more towards browsing or grazing.

The results showed there was a mix of different habitats in this environment at that time: open grassy areas mixed with patches of trees and shrubs. This would have created a patchwork of ecological niches, offering early humans a diverse range of resources.

Some sites – including the famous Sterkfontein Caves, home to one of the most complete early hominin skulls ever found, “Mrs Ples” – showed a bimodal pattern in tooth wear, meaning that even within the same community, some antelopes were grazing while others were browsing. This suggests that vegetation structure shifted locally or seasonally, and that animals adapted their diets accordingly. They switched between food sources as conditions changed.

Lessons from antelope diets

One of the most important findings is that some fossil antelopes fed very differently than their modern relatives. For example, certain groups that today are almost exclusively browsers were much more grass-focused in the Cradle fossil record. Others showed unexpected flexibility, with individuals of the same tribe in the same site adopting different strategies.

This has two key implications.

We cannot always rely on modern analogies. Assuming extinct animals behaved like their living relatives can be misleading, since the fossil record shows surprising shifts in diet. This means reconstructions based only on which species were present may give the wrong impression or oversimplify the reality.

Flexibility was crucial. The fact that antelopes could switch between grazing and browsing indicates that the Cradle’s environment was dynamic, and that survival often depended on adaptability. This echoes what we know about early humans, who also seem to have thrived by exploiting a wide range of resources.

Megan Malherbe is affiliated with the Institute of Evolutionary Medicine at the University of Zurich, and the Human Evolution Research Institute at the University of Cape Town.

The great wildebeest migration, seen from space: satellites and AI are helping count Africa’s wildlife

2025-10-20T14:57:12Z

The Great Wildebeest Migration is one of the most remarkable natural spectacles on Earth. Each year, immense herds of wildebeest, joined by zebras and gazelles, travel 800-1,000km between Tanzania and Kenya in search of fresh grazing after the rains.

This vast, circular journey is the engine of the Serengeti-Mara ecosystem. The migration feeds predators such as lions and crocodiles, fertilises the land and sustains the grasslands. Countless other species, and human livelihoods tied to rangelands and tourism, depend on it.

Because this migration underpins the entire ecosystem, it’s vital to know how many animals are involved. A change in numbers would not only affect wildebeest, but would ripple outward to predators, vegetation and the millions of people who rely on this landscape.

For decades, aerial surveys have been the main tool for estimating the size of east Africa’s wildebeest population. Aircraft fly in straight lines (transects) a few kilometres apart and use these strips to estimate the total population. This dedicated and arduous work, using a long-established method, has given us an estimate of about 1.3 million wildebeest.

In recent years, conservation scientists have begun testing whether satellites and artificial intelligence (identifying patterns in large datasets) can offer a new way to monitor wildlife. Earlier work showed that other species – Weddell seals, beluga whales and elephants – could be identified in satellite imagery using artificial intelligence.

In 2023, we showed that migratory wildebeest could be detected from satellite images using deep learning. That study proved it’s possible to monitor large gatherings of mammals from space. The next step has been to move from simply detecting animals to estimating their populations – using satellites not just to spot them, but to count them at scale.

Our recent study was carried out through collaboration between biologists, remote sensing specialists and machine-learning scientists. We analysed satellite imagery of the Serengeti-Mara ecosystem from 2022 and 2023, covering more than 4,000km².

Using deep learning models

The images were collected at very high spatial resolution (33-60cm per pixel), with each wildebeest represented by fewer than nine pixels. We analysed the imagery using two complementary deep learning models: a pixel-based U-Net and an object-based YOLO model. Both were trained to recognise wildebeest from above. Applying them together allowed us to cross-validate detections and reduce potential bias. The images were taken at the beginning and end of August, corresponding to different stages of the dry-season migration. Smaller herds were observed earlier in the month, as expected.

Across both years, the models detected fewer than 600,000 wildebeest within the dry-season range. While these numbers are lower than some previous aerial estimates, this should not necessarily be interpreted as evidence of a population decline, and we encourage more surveying effort to work out the relative error biases in each approach. While some animals are inevitably missed, under trees or outside the imaged area, it is unlikely that such factors could account for hundreds of thousands more. To confirm that the main herds were covered, we validated the survey extent using GPS tracking data from collared wildebeest and ground-based observations from organisations monitoring herd movements in the region.

These results provide the first satellite-based dry-season census of the Serengeti-Mara migration. Rather than replacing aerial surveys, they offer a complementary perspective on seasonal population dynamics. The next step is to coordinate aerial and satellite surveys in parallel. This way each method can help refine the other and build a more complete picture of this extraordinary migration.

Future directions

Satellite monitoring is not a panacea. Images are expensive, sometimes obscured by cloud cover. And they can never capture every individual on the ground (neither can aerial surveys). But the advantages are compelling. Satellites can capture a snapshot of vast landscapes at a single moment in time, removing much of the uncertainty that comes from extrapolating localised counts.

The approach is scalable to many other species and ecosystems. And as more high-resolution satellites (capable of imaging at less than 50cm) are launched, we can now revisit the same spot on Earth multiple times a day, bringing wildlife monitoring closer to real time than ever before.

Beyond population counts, satellites also open up a new scientific frontier: the study of collective movement at scale. The wildebeest migration is a classic case of emergent behaviour: there is no leader, yet order still arises. Each animal follows simple cues like where the grass is greener or where a neighbour is moving, and together thousands create a vast, coordinated journey.

With high-resolution satellite data, scientists can now explore the basic physics that shape how animals move together in large groups. But how do density waves of movement propagate across the landscape, what scaling rules might be governing patterns of spacing and alignment, and how do these collective patterns influence the functioning of ecosystems?

Our findings demonstrate how satellites and AI can be harnessed not only for wildlife population monitoring but also for applications that extend beyond population counts to uncovering the mechanisms of collective organisation in animal groups.

Isla C. Duporge received funding support from the National Academy of Sciences (NAS) while leading this research. The imagery used in the project was acquired via her fellowship with NAS.

Daniel Rubenstein, David Macdonald, and Tiejun Wang do not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

What do Nigerian children think about computers? Our study found out

2025-10-09T14:12:16Z

Digital literacy is the ability to use digital tools and technologies effectively, safely and responsibly. This includes the use of smartphones and devices, navigating the internet and exploring coding basics.

In an era where digital literacy is more important than ever, it’s essential to understand how young children perceive computing concepts.

As a computer science education researcher, I led a team of researchers to study young children’s ideas about computing in an African setting. Our recent study sheds light on how children aged five to eight in Nigeria think about computing, including computers, the internet, coding and artificial intelligence (AI).

While most children were familiar with computers and had some idea of the internet, coding and AI were largely unfamiliar or misunderstood. The children’s understanding was shaped by what they observed at home, school and through the media.

This kind of research matters because early digital literacy prepares children for future learning and careers. In African countries, studies like this highlight the urgent need to bridge the digital divide – the wide variation in access and exposure to technology. Without early and inclusive computing education, many children risk being left behind in a world where digital skills are essential. They are crucial not just for the jobs of tomorrow, but for full participation in society.

The study approach

The study took place in two socio-economically distinct communities in Ibadan, Nigeria. It offers valuable insights into how concepts and ideas are formed in relation to understanding technology.

This research chose a small group of children for an in-depth study, rather than a huge sample. Using a “draw-and-talk” method, the researchers asked 12 children to draw what they believed computers, the internet, code and AI looked like.

Artificial intelligence is when machines act smart, like answering questions or recognising faces. Coding is writing instructions that tell computers what to do. The internet is a global network that lets people connect, share and learn online.

These drawings were followed by interviews to explore the children’s thoughts and experiences. This method revealed not only what the children knew but how they formed their ideas.

What children know and don’t know about computing

The study found that most children were familiar with computers, often describing them as resembling televisions or typewriters. This comparison highlights how children relate new concepts to familiar objects in their environment. But their understanding was largely limited to what computers looked like. They had little awareness of internal components or functions beyond “pressing” keys.

When it came to the internet, children’s conceptions were more abstract. Many associated the internet with actions like watching videos or sending messages. This was often based on observing their parents using smartphones. Few could say what the internet actually was or how it worked. This suggests that children’s understanding is shaped more by observed behaviours than formal instruction.

Coding and AI were even less understood. Most of the children had never heard of coding. Those who had offered vague or incorrect definitions, such as associating “code” with television programmes or numbers. Similarly, AI was a foreign concept to nearly all participants. Only two children offered rudimentary explanations based on media exposure, such as robots or voice assistants like Google.

Children’s misconceptions about computers, coding and AI reflect limited exposure and are consistent across different cultural contexts in Nigeria and outside Nigeria. They highlight the need for hands-on programming education and tailored learning models.

This study was based on a prior study conducted in Finland, and the results also have similarities with other studies.

The role of language and environment

A key finding of the study is the influence of socio-economic status and language on children’s understanding. Children from the higher-income community generally had more exposure to digital devices and could express slightly more informed views, especially about the internet.

In contrast, children from the lower-income community had limited access. They struggled to express their ideas, particularly when computing terms lacked equivalents in their native language, Yoruba.

This language barrier underscores a broader challenge in computing education in Africa. There are few culturally and linguistically appropriate teaching materials. Without localised terminology or relatable examples, children may struggle to grasp abstract computing concepts.

Implications for education and policy

The study’s findings have implications for educators, curriculum developers and policymakers. First, they highlight the need to introduce computing concepts like coding and AI at earlier stages of education.

While many African countries, including Nigeria, Ghana and South Africa, have begun integrating computing into school curricula, the focus remains on basic computer literacy. There’s little emphasis on programming or emerging technologies.

Second, the research emphasises the importance of informal learning environments. Children’s conceptions were largely shaped by interactions at home and in their communities. It seems parents, guardians and media play a big role in early digital education.

Initiatives like after-school coding clubs, community tech hubs and parent-focused digital literacy programmes could help bridge the gap.

Finally, the study calls for a more inclusive and equitable approach to computing education. Children from lower socio-economic backgrounds must be given equal opportunities to use technology. This includes not only access to devices but also exposure to meaningful learning experiences that foster curiosity and understanding.

Building a digitally inclusive future

As the digital divide continues to shape educational outcomes globally, studies like this one provide a roadmap for more inclusive computing education. Educators and policymakers can design interventions that are developmentally appropriate, culturally relevant and socially equitable.

The future of computing in Africa depends not just on infrastructure and policy but on nurturing the next generation’s curiosity and creativity. And that journey begins with listening to how children see the digital world around them.

Ismaila Sanusi does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Southern right whales are having fewer calves: what this says about ocean health

2025-10-09T14:12:13Z

Most people are lucky to simply get a glimpse of some fragment of a whale. A subtle puff of mist over the horizon, the curve of a dark smooth back sliding beneath the surface, or for the fortunate, the flash of a tail or the explosive splash of 40 tons of flesh pounding the surface of the water when they breach. The immense satisfaction experienced during these brief appearances is a testimony to the whales’ elusiveness, and the immense difficulty of studying them.

For scientists, the challenge is even greater: whales spend most of their lives far offshore, hidden beneath the waves, or even well within the ice pack in some of the most remote and inhospitable oceans on Earth.

This difficulty has driven researchers to creative extremes – like using crossbows to gather skin samples, flying helicopters to count them, and sticking cameras with suction cups on their backs. I faced the challenge myself during my doctoral research at the University of Pretoria, which set out to unravel how southern right whales are responding to the combined pressures of climate change and shifting ocean ecosystems.

Southern rights are the species that draws thousands of visitors to Hermanus, a town on South Africa’s southern Cape coast, each spring when they reach peak numbers at their calving grounds. They generally start arriving here in June after feeding for a couple of years in the Antarctic, and generally all leave by November back into the Southern Ocean.

Southern right whales are one of the three species of right whales worldwide. All belong to the baleen whale group – the filter-feeding giants that include the blue, humpback and fin whales. Reaching up to 17 metres in length, they are among the larger whale species. The southern right is the only right whale found in the southern hemisphere, with populations off South America, South Africa, Australia and New Zealand.

My research shows that the South African population of southern right whales is being squeezed by climate change in the Southern Ocean. Their reproductive slowdown is a clear biological signal of environmental disruption: fewer calves in Hermanus most likely means there is less food under the ice thousands of kilometres away.

This has two important implications. First, it highlights the vulnerability of whale populations. These animals face an uncertain future in a warming ocean. Second, it demonstrates the remarkable role whales can play as sentinels. By monitoring their health and behaviour, we gain insight into vast, remote ecosystems that are otherwise costly and difficult to study.

Why southern right whales matter

Southern right whales were named by whalers who considered them the “right” whales to hunt: slow, predictable, and buoyant when killed. Those same traits almost drove them to extinction. Today, with international protection, many populations are recovering. But recovery is no guarantee of security. The very qualities that made them easy targets now make them excellent sentinels of environmental change.

These whales are what biologists call capital breeders. Mothers must accumulate enormous energy reserves during their foraging season in the Southern Ocean, then draw down on these stores through pregnancy, birth and nursing. If food is scarce, reproduction falters. This tight link between feeding and breeding makes them a living barometer of ocean health.

What I set out to investigate

For decades, South Africa has been at the forefront of southern right whale research. Since 1969, annual aerial surveys along the Cape coast have tracked mothers and calves, building one of the world’s most detailed datasets on any whale species.

In recent years, however, worrying trends have emerged. After 2009, calving intervals, the time between births, lengthened dramatically. Instead of a calf every three years, many mothers were only giving birth every four or five years. Female body condition declined, and stable isotope studies, which analyse molecules in the skin to indicate what whales have been feeding on, suggested whales were feeding further north than before. This indicates that mothers are potentially taking longer to meet the energy requirements of reproduction.

These red flags raised an urgent question: was climate change disrupting the whales’ food supply in their distant Southern Ocean feeding grounds?

Peering into the whales’ world

To answer this, I combined multiple approaches. I analysed 40 years of environmental data: sea ice cover, chlorophyll (a measure of ocean productivity), and historical whaling records. I deployed satellite tags on living whales to follow their migrations offshore. And I worked with international colleagues to use instruments attached directly to whales, tags that measure conductivity, temperature and depth, to understand the physical and biological features of their foraging habitats.

Together, these methods painted a clear picture. The traditional high-latitude feeding grounds, once rich in one of their preferred prey, Antarctic krill, have experienced dramatic environmental shifts driven by changes in the Earth’s climate. Sea ice, critical for krill survival and reproduction, has declined by 15%-30% in key regions. The marginal ice zone, once a reliable nursery for krill, has retreated southward. In parallel, whale mothers showed signs of poorer body condition, consistent with struggling to find sufficient food.

At mid-latitudes, meanwhile, whales were often found foraging near ocean fronts, dynamic boundaries where warm and cold waters meet, concentrating nutrients and prey. This suggests that when their polar larder fails, whales are forced to adapt by exploiting less predictable feeding zones further north.

Why it matters to all of us

Southern right whales are more than just a tourist attraction. They are indicators of the health of the Southern Ocean, a region that regulates Earth’s climate by absorbing heat and carbon dioxide. Changes in this system ripple far beyond Antarctica, shaping weather, fisheries, and biodiversity across the globe.

When fewer whale calves appear along South Africa’s coast, it is not only a local conservation concern. It is a message carried on the backs of these giants: our oceans are changing faster than they can adapt.

As we celebrate their return each spring, we should also reflect on the bigger story they tell. Protecting whales, and the oceans they depend on, is inseparable from protecting our own future.

Matthew Germishuizen does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

We tested if a specialised magnetic powder could remove microplastics from drinking water: the answer is yes

2025-10-08T13:33:10Z

Microplastics are the crumbs of our plastic world, tiny pieces that come from bigger items breaking apart or from products like synthetic clothing and packaging. They’re now everywhere. Scientists estimate there are about 51 trillion of these particles floating in the world’s surface waters, and low levels have even been found in South African tap water.

That’s worrying because these particles can carry chemicals and bad bacteria, get eaten by fish and other wildlife, and may end up in our bodies.

We’re water scientists who are looking for ways to solve this problem. In a recent study, we tested a practical fix: two “magnetic cleaning powders” that can attach onto microplastics in water; the combined clumps can then be pulled out using a magnet. These materials are called magnetic nanocomposites (think: very fine powders with special surfaces).

The idea is simple: mix a small dose of powder into the water, let it attract and attach to microplastics, and then use a strong magnet to remove the powder-plastic clusters, leaving cleaner water behind.

Around the world, researchers have tried many different methods to capture microplastics, but our study is among the first to show that magnetic nanocomposites can work effectively not only under laboratory conditions but also in real-world samples, including municipal wastewater and drinking water.

This is the first study to use these specific nanomaterials for microplastic removal, proving both their high efficiency and their practical potential. Most existing filters struggle to catch the smallest plastics, the ones most harmful to health and the environment. The next step is to test these powders on a larger scale and develop simple, affordable systems that households and water treatment plants can use.

How well do the powders work?

In our research we found that the powders were able to remove up to 96% of small polyethylene and 92% of polystyrene particles from purified water. When we tried the same approach in both drinking water and water coming out of a municipal wastewater treatment plant, the results were just as strong. In drinking water the removal was about 94% and in treated wastewater the removal was up to 92%.

Another finding from this study is that the size of the plastic particles matters. The smaller the microplastic, the easier it is for the powders to attach to it, because tiny particles can reach more of the powder’s special “sticky” surface. We saw very good results for small plastics (hundreds of micrometres), but bigger particles (3-5 millimetres) were hardly removed at all. This is because they don’t mix with the powder as well and there’s less surface for the powder to attach onto.

In everyday terms, these magnetic powders are excellent for the small microplastics that are hardest to catch with normal filters.

Now for the big question: why do the powders attach to plastic? Think of it as being like tiny magnets. The powder and the plastics have special surfaces. The powder has parts that are sticky for plastics. This stickiness happens because of different kinds of forces. The plastic and powders have opposite charges which pull them together or allow them to stick together.

The key point is that the powders are engineered or specifically made to grab onto plastics so that microplastics naturally cling to them in water.

Once the powders attach onto the microplastics, we use a strong magnet (magnetic force: 250kg) to pull the powder–plastic clumps out of the water. The plastics are then separated from the powder by washing and filtration, dried, and weighed. This allows us to check how much plastic was removed. The separated powders are regenerated and reused, while the plastics are safely discarded, preventing them from re-entering the water.

We also looked at real-world questions: can you reuse the powders? And are they safe? The powders themselves are made from safe, lab-engineered materials: tiny sheets of carbon and boron nitride (a material also found in cosmetics and coatings) that are coated with magnetic iron nanoparticles. This makes them stable in water, and easy to pull out with a magnet after they’ve captured the microplastics.

After three rounds of use, the tested powders were effective in removing plastics up to 80%. That means you don’t need a new batch of powder every time, which is important for keeping costs down. Treating 1,000 litres of water with this method costs about US$41 (R763), making it competitive with many existing treatment options.

For safety, we tested the filtered powder (the “filtrate”) on plant growth. The results showed minimal to no toxicity, as three different plants were able to grow well in the presence of the filtrate. This is a strong sign that the method is environmentally friendly when used as intended.

What does this study mean for households and cities?

In the short term, magnetic powders could be built into small cartridges or filter units that attach to household or community water systems, helping remove microplastics before the water is used for drinking or cooking.

But the bigger picture is just as important. Microplastics are not only a South African problem but are also a global pollutant that crosses borders through rivers, oceans, and even the air we breathe. Low-cost, scalable solutions such as magnetic powders can make a real difference in resource-limited settings, where advanced filtration systems are too expensive or impractical.

Looking ahead, further work will focus on scaling up the method, testing it under more diverse water conditions, and designing simple, affordable devices that households or treatment plants can adopt.

In short: this specialised magnetic powder can tackle a tiny pollutant with big consequences. With sensible engineering and careful recovery, magnetic nanocomposites offer a promising, practical path to clean water while protecting the ecosystem from microplastic pollution.

Riona Indhur has received the prestigious National Research Foundation (NRF) postdoctoral research fellowship (Scarce Skills).

The project was funded by the National research Foundation and Water Research Commission of South Africa

Child malnutrition in Kenya: AI model can forecast rates six months before they become critical

2025-10-08T13:32:20Z

Globally, nearly half of the deaths of children under five years are linked to malnutrition. In Kenya, it’s the leading cause of illness and death among children.

Children with malnutrition typically show signs of recent and severe weight loss. They may also have swollen ankles and feet. Acute malnutrition among children is usually the result of eating insufficient food or having infectious diseases, especially diarrhoea.

Acute malnutrition weakens a child’s immune system. This can lead to increased susceptibility to infectious diseases like pneumonia. It can also cause more severe illness and an increased risk of death.

Currently, the Kenyan national response to malnutrition, implemented by the ministry of health, is based on historical trends of malnutrition. This means that if cases of malnutrition have been reported in a certain month, the ministry anticipates a repeat during a similar month in subsequent years. Currently, no statistical modelling guides responses, which has limited their accuracy.

The health ministry has collected monthly data on nutrition-related indicators and other health conditions for many years.

Our multi-disciplinary team set out to explore whether we could use this data to help forecast where, geographically, child malnutrition was likely to occur in the near future. We were aiming for a more accurate forecast than the existing method.

We developed a machine learning model to forecast acute malnutrition among children in Kenya. A machine learning model is a type of mathematical model that, once “trained” on an existing data set, can make predictions of future outcomes. We used existing data and improved forecasting capabilities by including complementary data sources, such as satellite imagery that provides an indicator of crop health.

We found that machine learning-based models consistently outperformed existing platforms used to forecast malnutrition rates in Kenya. And we found that models with satellite-based features worked even better.

Our results demonstrate the ability of machine learning models to more accurately forecast malnutrition in Kenya up to six months ahead of time from a variety of indicators.

If we have advance knowledge of where malnutrition is likely to be high, scarce resources can be allocated to these high-risk areas in a timely manner to try to prevent children from becoming malnourished.

How we did it

We used clinical data from the Kenya Health Information System. This included data on diarrhoea treatment and low birth weight. We collected data on children who visited a health facility who met the definition of being acutely malnourished, among other relevant clinical indicators.

Given that food insecurity is a key driver of acute malnutrition, we also incorporated data reflecting crop activity into our models. We used a NASA satellite to look at gross primary productivity, which measures the rate at which plants convert solar energy into chemical energy. This provides a coarse indicator of crop health and productivity. Lower average rates can be an early indication of food scarcity.

We tested several methods and models for forecasting malnutrition risk among children in Kenya using data collected from January 2019 to February 2024.

The gradient boosting machine learning model – trained on previous acute malnutrition outcomes and gross primary productivity measurements – turned out to be the most effective model for forecasting acute malnutrition among children.

This model can forecast where and at what prevalence level acute malnutrition among children is likely to occur in one month’s time with 89% accuracy.

All the models we developed performed well where the prevalence of acute child malnutrition was expected to be at more than 30%, for instance in northern and eastern Kenya, which have dry climates. However, when the prevalence was less than 15%, for instance in western and central Kenya, only the machine learning models were able to forecast with good accuracy.

This higher accuracy is achieved because the models use additional information on multiple clinical factors. They can, therefore, find more complex relationships.

Implications

Current efforts to predict acute malnutrition among children rely only on historical knowledge of malnutrition patterns. We found these forecasts were less accurate than our models.

Our models leverage historical malnutrition patterns, as well as clinical indicators and satellite-based indicators.

The forecasting performance of our models is also better than other similar data-based modelling efforts published by other researchers.

As resources for health and nutrition shrink, improved targeting to the areas of highest need is critical. Treating acute malnutrition can save a child’s life.

Prevention of malnutrition promotes children’s full psychological and physical development.

What needs to happen next

Making these data from diverse sources available through a dashboard could inform decision-making. Responders could get six months to intervene where they are most needed.

We have developed a prototype dashboard to create visualisations of what responders would be able to see based on our model’s subcounty-level forecasts. We are currently working with the Kenyan ministry of health and Amref Health Africa, a health development NGO, to ensure that the dashboard is available to local decision-makers and stakeholders. It is regularly updated with the most current data and new forecasts.

We are also working with our partners to refine the dashboard to meet the needs of the end users and promote its use in national decision-making on responses to acute malnutrition among children. We’re tracking the impacts of this work.

Throughout this process, it will be important to strengthen the capacity of our partners to manage, update and use the model and dashboard. This will promote local responsiveness, ownership and sustainability.

Scaling up

The Kenya Health Information System relies on the District Health Information System 2 (DHIS2). This is an open source software platform. It is currently used by over 80 low- and middle-income countries. The satellite data that we used in our models is also available in all of these countries.

If we can secure additional funding, we plan to expand our work geographically and to other areas of health. We’ve also made our code publicly available, which allows anyone to use it and replicate our work in other countries where child malnutrition is a public health challenge.

Furthermore, our model proves that DHIS2 data, despite challenges with its completeness and quality, can be used in machine learning models to inform public health responses. This work could be adapted to address public health issues beyond malnutrition, like changes in patterns of infectious diseases due to climate change.

This work was a collaboration between the University of Southern California’s Institute on Inequalities in Global Health and Center for Artificial Intelligence in Society, Microsoft, Amref Health Africa and the Kenyan ministry of health.

This work was supported, in part, by the Microsoft Corporation.

Bistra Dilkina received in-kind support from Microsoft AI for Good for this work.

World’s first known butt-drag fossil trace was left by a rock hyrax in South Africa 126,000 years ago

2025-10-05T04:01:50Z

Rock hyraxes, known in southern Africa more often as “dassies”, are furry, thickset creatures with short legs and no discernible tails. They spend much of their time sunning themselves on rocky outcrops.

Another thing they sometimes do is drag their butts along the ground. Dog owners know that this behaviour can be a sign of parasitic infections; in hyraxes the reason seems to be less clear, but this action leaves distinctive traces in sandy areas.

Traces and tracks – ancient, fossilised ones – are what we study at the African Centre for Coastal Palaeoscience through the Cape south coast ichnology project. Over the past few decades, we have found almost 400 vertebrate tracksites on this coast, some as old as 400,000 years, in cemented dunes known as aeolianites from the Pleistocene epoch. This epoch lasted from about 2.58 million years ago to about 11,700 years ago.

We’re building up a picture of the environment during that period and how the animals and plants of that time lived.

Among our latest finds are two fossilised traces that appear to have been made by rock hyraxes long ago. One is a tracksite and the other is a butt-drag impression with what may be a fossilised dropping in it.

The probable tracksite was brought to our attention from a site near Walker Bay on the Cape south coast by an ardent tracker, Mike Fabricius. It is around 76,000 years old. We found the probable butt-drag impression east of Still Bay on the same coast, and it is most likely around 126,000 years old.

The butt-drag impression is the first fossil of its kind to be described from anywhere in the world. In addition, these are the only possible fossilised hyrax tracks ever to be identified. In the world of palaeontology, anything this unusual is important and we feel privileged to be able to interpret them.

Interpreting the drag mark

Dating on our sites has been done through a technique known as optically stimulated luminescence, which works by analysing when materials like sand were last exposed to light.

The butt-drag impression is 95cm long and 13cm wide. It contains five parallel striations. Its outer margins are slightly raised, and within it there is a 2cm-high raised feature, 10cm by 9cm. Clearly something was dragged across the surface when it consisted of loose sand.

We considered possible causes other than hyrax buttocks. These included a leopard or an ancestral human dragging prey, or perhaps an elephant dragging its trunk. Firstly, however, these would be expected to leave tracks, and secondly in such interpretations the raised feature could not be explained.

But if it was a hyrax, it would make sense, because the buttock trace would have come after the tracks and wiped them out. And the raised feature might be a coprolite: a fused fossilised mass of hyrax droppings.

Rock hyrax dragging its buttocks. Video courtesy Mathilde Stuart.

Old dung and urine

Rock hyraxes leave much more than just tracks and butt-drag traces. Because they prefer rocky areas, their tracks are not often found, but they polish rock surfaces to a shiny finish. This is similar to what buffalo on the North American prairie do, creating “buffalo rubbing stones”.

Hyraxes also leave deposits of urine and dung. Urea and electrolytes are concentrated in their urine, and they excrete large amounts of calcium carbonate. This becomes cemented and forms extensive whitish deposits on rock surfaces. Due to their communal habits, hyraxes often urinate in the same preferred localities over multiple generations.

Their urine and dung often mix to form a substance known as hyraceum – a rock-like mass that can accumulate into extensive, dark, tarry deposits. Hyraceum has been used as a traditional medication to treat a variety of ailments, including epilepsy, and for gynaecological purposes.

Hyraceum may be tens of thousands of years old, and can be regarded as a threatened, non-renewable resource. The middens, being sensitive to environmental changes and containing fossil pollen and other evidence of ancient life, form valuable natural archives for interpreting past climates, vegetation and ecology.

Thinking of hyraceum as a trace fossil, something which apparently has not been done before, can help in the protection of this underappreciated resource.

Although fossilised urine is globally uncommon, there is a word to describe it: “urolite”, to distinguish it from “coprolite” (fossilised poop). It seems that hyraxes contribute the lion’s share of the world’s urolite. At palaeontology conferences, students can be seen sporting T-shirts that brazenly state: “coprolite happens”. In southern Africa, a more appropriate term might be “urolite happens”.

Through appreciating the importance of butt-drag impressions, urolites, coprolites and hyraceum, and learning about the environment of rock hyraxes and other animals during the Pleistocene, we will never view these endearing creatures in the same light again.

Mathilde Stuart contributed to this research.

Lynne Quick receives funding from the National Research Foundation of South Africa African Origins Platform (grant no: 136507)

Charles Helm does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Toxic pollution builds up in snake scales: what we learnt from black mambas

2025-10-03T13:17:45Z

Black mambas (Dendroaspis polylepis) are Africa’s longest, most famous venomous snakes. Despite their fearsome reputation, these misunderstood snakes are vital players in their ecosystems. They keep rodent populations in check and, in turn, help to protect crops and limit disease spread. The species ranges widely across sub-Saharan Africa, from Senegal to Somalia and south into South Africa. They can adapt to many environments.

Zoologist Cormac Price, in new research with professors Marc Humphries and Graham Alexander and reptile conservationist Nick Evans, found that black mambas can be indicators of heavy metal pollution. We asked him about it.

How do black mambas indicate toxic pollution?

It’s about bio-accumulation. Bioaccumulation happens when chemicals, like pesticides or heavy metals, build up in an organism’s body. These toxins come from polluted environments, from waste products of human activities like manufacturing. They pollute water or soil and gradually accumulate in plants and animals.

If toxins are present in the environment, they may first be taken in by plants, and then by animals that eat the plants, and animals that eat those animals. Black mambas are quite high up the food chain, so a lot of the toxins would accumulate in their bodies. These poisonous substances can reach dangerous levels, causing health problems for whatever eats them.

We tested the presence of four types of heavy metals (arsenic, cadmium, lead and mercury) in the bodies of black mambas.

All our samples were from the eThekwini Municipality (greater Durban area) in South Africa. Durban is a busy shipping container port and has a large industrial sector that includes chemicals, petrochemicals and automotive manufacturing. Alongside all this industry the municipality also has a network of conservancies and green spaces, known as the Durban Metropolitan Open Space System.

We chose to test for these metals because they are widely used in different industries and can cause drastic negative effects in the body. Mercury primarily damages the nervous system, arsenic can cause cancer and skin lesions, cadmium harms kidneys and bones and lead mainly affects brain development and blood functions. Because these metals accumulate over time and are difficult to break down, even low-level exposure can lead to chronic poisoning and long-term health problems.

Black mambas appear to be doing well in Durban and taking advantage of the abundance of rodents, which they eat. Wherever there is human settlement there will be waste and discarded food which rodents take full advantage of. Black mambas can also be quite site-specific when not disturbed, living in the same refuge for many years, giving a clearer indication of pollution levels at that specific site. This makes the snakes potentially good bioindicator species.

A bioindicator species is one that helps us understand the health of an environment. Because they are sensitive to changes like pollution or habitat damage, their presence, absence or condition can reveal if an ecosystem is in good condition or is experiencing increases of pollution or degradation.

The pollutants can be detected and calculated from a non-invasive, harmless scale clipping. Snake scales are composed mostly of keratin, the same sort of protein that produces human hair and nails. To clip a very thin slice of snake scale is as harmless as clipping a human finger nail.

We collected 31 mambas that had already been killed by vehicles, people or dogs, and tested muscle and liver samples from them for toxins. We also took scale clippings from 61 live snakes.

This was the first time in Africa that a species of snake was tested to see if it could be used as an indicator species of heavy metal pollution.

What did you find?

We found that the heavy metal concentrations in scales correlated with those found in the muscle and liver samples. For three of the four metals, scales were as accurate for testing as muscle and liver samples. So the harmless testing method is as good as the more invasive one.

For arsenic, cadmium and lead, the snakes were accumulating significantly lower concentrations of these toxins in the open, natural sites of the Durban Metropolitan Open Space System compared to more industrial and commercial areas. Mercury was less significantly different due to its more volatile nature and its capacity to travel through the environment.

What made you test mamba scales in the first place?

In 2020, I attended a conference on amphibians and reptiles, where a friend of mine presented his work on heavy metal pollutants in tiger snakes in the city of Perth, Australia.

I’ve also been working with Nick Evans of KZN Amphibian & Reptile Conservation for some years, on urban reptile ecology. Nick began collecting scale clippings, and I began to realise, while looking through the literature, how novel this was on a continental scale. Snakes had never been tested as a potential bioindicator species of heavy metal pollution in Africa previously.

Marc Humphries is a professor of environmental chemistry, and I was aware of his work on lead exposure in Nile crocodiles at St Lucia, a wetland in South Africa. When he expressed interest in examining the scale clippings, we were thrilled. Graham Alexander’s expertise in snake behaviour in general and specifically snakes in Durban was also instrumental in the success of this research.

How can this help fight pollution?

The fight against pollution is in the hands of the municipality and city managers. What the snakes are doing is warning us of the increasing danger these pollutants pose to environmental health and ultimately human health. They are also showing us how important open spaces are to the overall environmental and human health of the city of Durban. The snakes are telling us a story; what people in authority decide to do with this story rests with them.

Nick Evans of KZN Amphibian & Reptile Conservation made valuable contributions to the research and was a co-author on the article.

Cormac Price does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Nature’s not perfect: fig wasps try to balance sex ratios for survival but they can get it wrong

2025-10-02T14:02:57Z

Television nature programmes and scientific papers tend to celebrate the perfection of evolved traits. But the father of evolution through natural selection, Charles Darwin, warned that evolution would produce quirks and “blunders” that reflect a lineage’s history.

Our recent study from the Kruger National Park in South Africa shows how true this is. Our team of behavioural ecologists found that the behaviour of certain fig wasps, long considered textbook examples of precise adaptation, is far from perfect.

Previous research on fig wasps, but also other parasitoid wasps in general, has focused almost exclusively on design perfection. The aim of our work was to investigate a case where we expected to see “imperfections” due to necessary compromises and the legacy of history.

Our study focused on Ceratosolen arabicus, a tiny wasp (about 2.5mm long) that pollinates sycamore figs. We will call them “pollinators” for simplicity.

For years, researchers have admired how pollinating fig wasps such as C. arabicus adjust the percentage of their offspring that are male (their sex ratios) with near mathematical precision to maximise their reproductive success.

But a previous study suggested that when a pollinator shares a fig with another species of wasp it might incorrectly “adjust” its sex ratio as if it was with a female of its own species.

For our research, we allowed the pollinator to lay eggs on its own or together with a gall wasp (Sycophaga sycomori) or a cuckoo wasp (Ceratosolen galili). These species, like the pollinators, crawl into figs to lay their eggs and may elicit the incorrect response.

We then used a statistical approach to determine how well various hypotheses explained the variation in the data. The hypotheses we tested were:

that the pollinators’ sex ratio remained unchanged by the presence of the other species
various degrees of effects, for example, that each of the species affects the sex ratio differently.

We found that the other two species of wasps do indeed interfere with the pollinators’ neat sex ratio production mechanism. Pollinators lose up to 5% of their potential grandchildren when they share a fig with a gall wasp, and 12% when they share it with a cuckoo wasp.

Still, the pollinators have survived for millions of years and are not expected to go extinct because of this loss of grandchildren.

Given such a “flaw” in a trait that seemed perfect, biologists should expect to see many “design errors” in life if we look for them. We have to be open to that possibility so that we see what’s actually there and not what we expect to see.

How things work

In each fig, one or a few pollinator mothers lay all their eggs. The mother or mothers’ offspring hatch inside the fig and mate inside. When the mother or mothers’ offspring mature, they mate within the fig, meaning brothers routinely mate with sisters. This means brothers will compete among each other for mating opportunities. In contrast, mated females leave their “birth” fig and disperse to start the cycle anew. But importantly, females compete with unrelated females to find new figs to lay their eggs in.

Therefore, a lone mother should produce just enough sons, about 10% of her total brood, to ensure all her daughters get mated. The rest can be daughters.

The wasps have a simple trick to control the sex ratio directly: unfertilised eggs become sons, while fertilised ones become daughters.

When two mothers lay eggs in the same fig, each must produce more sons, around 25%, because now their sons have to compete with those of the other mother. But if a mother shares a fig with another species, this logic does not apply because competition for mates and mating opportunities for her sons do not change. Therefore, her sex ratio should stay the same as if she were alone.

But it does not.

Pollinator mothers use two simple mechanisms to adjust their sex ratio in response to the presence of other pollinators, but these mechanisms are also triggered by other species.

Let us explain the first mechanism using a gin and tonic analogy.

Imagine a bartender making a G&T: first, he pours a tot of gin (sons) and then fills the rest of the glass with tonic (daughters). Now, imagine two bartenders unknowingly making a G&T in one glass. They both add a tot of gin and then top up with tonic. The result is a stronger drink with more gin.

Pollinator mothers do something similar. They tend to lay male eggs first, and then gradually switch to laying females. We call this the ladies-last effect. But when other species like the cuckoo wasp are present, this pattern still changes the sex ratio because the second species shrinks the glass’s total size. As a consequence the pollinator ends up laying fewer daughters. This can be seen in the figure moving from right to left along the x-axis.

The second mechanism works differently but leads to the same problematic outcome. It relies on an active adjustment of the sex ratio. Although the G&T analogy breaks down, this is like each bartender adding more than a tot of gin when he realises there is a second bartender mixing a drink in the glass.

Similarly, when a pollinator detects another pollinator, she increases the number of sons. But when another species is present, she still behaves as if she is competing with her own kind, increasing her number of sons, as can be seen in the figure moving upwards along the y-axis.

Since both mechanisms continue operating inappropriately when other species are present, the sex ratios become erroneously skewed. Specifically, the sex ratio of a single mother shifts from 10% sons when she is alone, to 16% when she is with a gall wasp, and to 26% when she is with the cuckoo wasp. It should have remained at 10%.

All that glitters is not gold

As an isiZulu proverb says: “Ikiwane elihle ligcwala izibungu”, literally translated to: “The nicest-looking fig is usually full of worms.” Pollinator sex ratio adjustment has been touted as a prime example of how perfectly natural selection can optimise the design of biological systems. But this is an oversimplification.

In reality, the history of a trait and compromises between a trait’s various functions can direct evolution to imperfect solutions. For instance, here evolution did not “design” separate “solutions” for with-own-species and with-other-species scenarios.

Instead, evolution seems to have optimised it for the average condition, an imperfect, but workable, compromise. The cost in number of grandchildren due to this compromise is astronomical because pollinators in the Kruger National Park frequently share a fig with another pollinator, galler or a cuckoo wasp.

Such trade-offs are likely common in nature. Evolution tends not to redesign from scratch; rather, it tinkers with what is already there. As a result, we often get solutions that work well enough, rather than perfectly.

So next time you marvel at a natural wonder, remember: the story is rarely one of flawless design. It is a story of imperfect compromises, shaped by what evolution could do with what it had. And that story is far richer and more real than any Hollywood ending.

Jaco Greeff received funding from the National Research Foundation. Any opinion, findings and conclusions or recommendations expressed in this material are those of the authors and therefore the NRF does not accept any liability in regard thereto.

Mushrooms may have been part of early human diets: primate study explores who eats what and when

2025-09-26T07:46:17Z

Mushrooms may not be the first food that comes to mind when we imagine the diets of wild primates – or our early human ancestors. We tend to think of fruits and green leaves as the preferred foods for monkeys and apes.

But our new study from the Issa Valley in western Tanzania highlights a surprising, and potentially crucial, role for fungi in primate diets.

For nearly two decades, our work has centred on what it means to be a savanna-woodland primate in east Africa. Far from their forest-dwelling cousins, these populations are exposed to higher temperatures, as well as woodland and grassland vegetation where they can find food – or be in danger from predators like wild dogs and hyenas.

Broadly, we are interested in competition between species. For example, how do baboons and smaller monkeys avoid larger (and predatory) chimpanzees when looking for ripe fruits? Mushrooms may provide an answer.

We found that while all three primate species under study consumed mushrooms, their use and reliance differed throughout the year. Mushrooms were seasonally important for red-tailed monkeys and chimpanzees, becoming a fall-back food when ripe fruit was scarce, despite overall making up only 2% of their diet. For baboons, mushrooms were a preferred food, with fungi forming more than a tenth of their diet despite being available for only half the year.

Our findings not only shed light on the way that primates rely on and respond to their environment, but also hint at the evolutionary roots of human mycophagy (mushroom eating). Fungi have been overlooked in research into ancient diets because they don’t fossilise well and leave little trace in the archaeological record.

By examining which foods are consumed by primates, we can better reconstruct scenarios of how early human species may have competed with one another.

Issa fungi foraging

Over four years, we observed three co-inhabiting species – chimpanzees, yellow baboons and red-tailed monkeys – regularly consuming mushrooms.

We used over 50,000 observations of feeding among the three species and found that mushroom consumption wasn’t just incidental. While chimpanzees and red-tailed monkeys ate mushrooms mostly during the wet season, when availability peaked, baboons consumed mushrooms far longer, even when they were relatively scarce.

In fact, for two months of the year, mushrooms made up over 35% of baboons’ diets, suggesting they are a preferred food, not just consumed during fruit-scarce periods, as we suggest for the chimpanzees and red-tailed monkeys.

Chimpanzees and red-tailed monkeys, in contrast, treated mushrooms as a seasonal supplement, valuable when fruits were less abundant. This nuanced difference suggests that mushrooms play different roles within this primate community, depending on ecological strategies and competition dynamics.

Avoiding conflict through fungi

One of the most intriguing ideas to emerge from our study is the concept of niche partitioning: how animals adapt their diets to minimise competition. This is a well-established phenomenon which can manifest in various ways, from bird species occupying different canopy heights, to carnivores targeting different prey.

In habitats where multiple species coexist, finding one’s own food niche can be the key to survival. At Issa, baboons, chimpanzees and guenons (monkeys) might all be using mushrooms in strategic ways to improve feeding efficiency and reduce tension with each other as they respond to periods when (preferred) ripe fruits are insufficient for all three species.

What does this mean for us?

The implications of these findings stretch far beyond western Tanzania. First, they highlight how mushrooms can serve as a rich, seasonal food source, even for large mammals, providing protein, micronutrients and potentially medicinal benefits. This lends support to theories that fungi may have played a significant role in the diets of early hominins.

In fact, the habitat of Issa is thought to resemble the kind of mosaic woodland landscape where human ancestors evolved. If our primate relatives today are exploiting fungi in this environment, it’s plausible that Australopithecus, Homo habilis and other early human species did too.

Despite this, fungi are often overlooked in reconstructions of ancient diets, largely because they don’t fossilise well and leave little trace. Yet ancient DNA from Neanderthal dental plaque from about 40,000 years ago has revealed traces of mushrooms, tantalising clues that fungi may have been more central to prehistoric life than previously believed.

A caution and a call

The study also raises important questions about human-wildlife coexistence. In many parts of Tanzania, mushrooms are harvested by people and sold in local markets. As climate change and human population growth put pressure on wild resources, competition between humans and wildlife over edible fungi may increase. Understanding who eats what and when could help in managing these shared resources sustainably.

At a time when biodiversity is under threat and food security is a growing global concern, this research reminds us that hidden treasures like wild mushrooms aren’t just tasty; they’re significant for ecology and evolution.

Fungi can add to our understanding of where we came from and how we might share our ecosystems going forward.

Alexander Piel receives funding from the Salk/UCSD Center for Academic Research and Training in Anthropogeny and the Department of Human Origins, Max Planck Institute for Evolutionary Anthropology. He is an associate researcher with MPI-EVA.

Fiona Stewart receives funding from the Salk/UCSD Center for Academic Research and Training in Anthropogeny and the Department of Human Origins, Max Planck Institute for Evolutionary Anthropology. He is an associate researcher with MPI-EVA.

AI in Africa: 5 issues that must be tackled for digital equality

2025-09-25T13:36:43Z

The AI revolution risks deepening inequality between the global north and south. Clarote & AI4Media/betterimagesofai.org, CC BY-SA

If it’s steered correctly, artificial intelligence (AI) has the potential to accelerate development. It can drive breakthroughs in agriculture. It can expand access to healthcare and education. It can boost financial inclusion and strengthen democratic participation.

But without deliberate action, the AI “revolution” risks deepening inequality more than it will expand opportunity.

As a scholar of the history and future of AI, I’ve written about the dangers of AI widening global inequality. There’s an urgent need to develop governance mechanisms that will try to redistribute the benefits of this technology.

The scale of the AI gap is stark. Africa holds less than 1% of global data centre capacity. Data centres are the engines that drive AI. This means the continent has minimal infrastructure for hosting the computing power necessary to build and run AI models.

While only 32 countries worldwide host specialised AI data centres, the US and China account for over 90% of them.

And only about 5% of Africa’s AI talent (innovators with AI skills) have sufficient access to the resources needed for advanced research and innovation.

Leaders and policy-makers from around the world must grapple with an uncomfortable truth: AI is not equally distributed, and without deliberate action it will magnify global divides.

But they also still have the chance to set a new trajectory – one where Africa and the global majority shape the rules of the game. One that ensures AI becomes a force for shared prosperity rather than exclusion.

To achieve this, five critical policy areas most be addressed. These are data; computing capacity; AI for local languages; skills and AI literacy; and AI safety, ethics and governance. These are not just African priorities; they’re global imperatives.

1. Compute and infrastructure

Access to computational power has become the defining chokepoint in today’s AI ecosystem. African researchers and innovators will remain on the margins of the AI economy unless there is investment in regional data centres, GPU clusters (a group of computers working together on large-scale AI processing) and secure cloud infrastructure.

Europe, by contrast, has pooled over US$8 billion in establishing the European High-Performance Computing Joint Undertaking to ensure the continent has computing capacity for local innovations.

African countries should press for funding and partnerships to expand local capacity. They will also need to insist on transparency from global providers about who controls access, and ensure regional cooperation to pool resources across borders.

2. Data governance

AI systems are only as good as the data they’re trained on. Much of the continent’s data is fragmented, poorly governed, or extracted without fairly compensating those it’s collected from. Large, diverse and machine-readable datasets are used to teach AI models about the contexts and realities the data reflect.

Where ethical stewardship frameworks exist, locally managed datasets have already driven innovation that has impact. For example, the Lacuna Fund has helped researchers across Africa build over 75 open-machine-learning datasets in areas like agriculture, health, climate and low-resource languages. These have filled critical data gaps, allowing for tools that better reflect African realities. Realities like high-accuracy crop yield datasets for farming. Or voice/text resources for under-served languages.

Robust national data protection and governance laws are needed. So are regional data commons, a shared resource where data is collected, stored, and made accessible to a community under common standards and governance. This would enable collaboration, reuse, and equitable benefits. Standards for quality, openness, interoperability and ethics developed by multilateral organisations must be designed with African priorities at their centre.

3. AI for local languages

Inclusive AI depends on the languages it speaks. Current large models overwhelmingly privilege English and other dominant languages. African languages are all but invisible in the digital sphere. This not only entrenches existing biases and inequalities, it also risks excluding millions from access to AI-enabled services.

Take the example of the Cape Town-based non-profit organisation Gender Rights in Tech. It has developed a trauma-informed chatbot called Zuzi that supports survivors of gender-based violence by providing anonymous, accessible guidance in diverse South African languages on their rights, available legal services, and sexual and reproductive health. It helps overcome stigma and bridge gaps in access. Zuzi demonstrates the power of AI technologies in local languages.

Dedicated investment in datasets, benchmarks, and models for African languages is urgently needed, as well as in tools for speech recognition, text-to-speech, and literacy.

4. AI skills and literacy

African infrastructure and data will mean little without human capacity to use them. At present, AI skills supply falls far short of demand, and public understanding of AI’s benefits and risks remains low.

To increase skills, AI and data science will need to be integrated into school and university curricula, and vocational training will need to be expanded. Supporting lifelong learning programmes is essential.

Public awareness campaigns can ensure citizens understand both the promise and perils of AI. This will support deeper public debate on these issues. It can also target support for women, rural communities, and African language speakers to help prevent new divides from forming.

5. Safety, ethics, and governance

Finally, stronger governance frameworks are urgently needed. African countries face unique risks from AI. Among them are electoral interference, disinformation, job disruption, and environmental costs. These risks are shaped by Africa’s structural realities: fragile information ecosystems, large informal labour markets, weak social safety nets, and resource-strained infrastructure. National strategies are emerging, but enforcement capacity and oversight remain limited.

African governments should push for the creation of an African AI safety institute. Safety and ethical audits must be mandated for high-risk systems. Regulations and AI governance instruments must be aligned with rights-based African principles that emphasise equity, justice, transparency, and accountability. Participation in global standard-setting bodies is also crucial to ensure that African perspectives help shape the rules being written elsewhere.

All eyes on the G20

Taken together, these priorities are not defensive measures but a blueprint for empowerment. If pursued, they would reduce the risk of inequality. They would position Africa and other regions across the majority world to shape AI in ways that serve their people and economies.

Digital and technology ministers from the world’s biggest economies will be attending the G20’s digital economy working group ministerial meeting at the end of September.

On paper, it’s a routine meeting. In practice, it may be the most consequential gathering on AI policy Africa has ever hosted.

This is the first time the G20’s digital ministers are meeting on African soil. It’s happening at the very moment AI is being hailed as the technology that will redefine the global economy.

This meeting will not stand alone. It will be followed by the AI for Africa conference, co-hosted by South Africa’s G20 presidency, Unesco and the African Union. Here the AI in Africa Initiative will be launched. It is designed as a practical mechanism to carry forward the G20’s commitments and advance implementation of the African Union’s Continental AI Strategy.

Cape Town could mark a turning point: the moment when African leadership, working in concert with the G20, starts to close the AI divide and harness this technology for shared prosperity.

Rachel Adams receives funding from the International Development Research Centre of Canada, under the AI4Development funding programme, co-led with the Foreign and Commonwealth Development Office of the UK.

Deepfakes and South African law: remedies on paper, gaps in practice

2025-09-21T08:04:34Z

Deepfakes are forgeries of people’s faces, voices and likeness generated through artificial intelligence (AI). They create a serious digital deception. Deepfakes undermine constitutional rights, reduce trust in media and distort fairness in elections. While many countries have laws that address the risks caused by deepfakes, enforcement remains a challenge.

Deepfakes began to be widely created in 2017 after they’d first appeared on Reddit, a discussion website of forums where people exchange information. A Reddit user called Deepfakes shared an AI software tool that could superimpose celebrities’ faces on pornographic videos. AI-generated media became widely accessible through software apps that enable people to freely create deepfakes.

There are several types of deepfakes:

text deepfakes in the form of fake receipts and identification documents
photo deepfakes, often swapping faces and bodies using apps to create memes
audio deepfakes, where text-to-speech apps are used for voice cloning, often targeting politicians
video deepfakes, where face and movement are transferred onto someone else’s video, commonly used to create “revenge pornography”.

Deepfakes pose three main dangers:

They deceive audiences into believing fabricated media.
They enable cybercrimes, reputational harm and misrepresentation.
They can be published by anyone, including anonymous social media users.

The key issue is how law can protect people from the illegal use of their images, voices, and likenesses in deepfakes.

Since 2020, I have looked at laws that regulate deepfakes in South Africa and their implementation. My findings show that the biggest problem with deepfakes is law enforcement, rather than any lack of laws that prohibit the unlawful creation and distribution of deepfakes.

Deepfake threats

South Africa has seen notable cases that highlight the growing impact of deepfakes. In 2024, Leanne Manas, an award-winning South African broadcast anchor, was a victim when her image was used in fake endorsement of weight loss products and online trading on Facebook and TikTok.

South African-born businessman Elon Musk also appeared in a deepfake video that induced many South Africans to invest in a financial scam that promised high returns.

In 2025, Professor Salim Abdool Karim, the director of the Centre for the AIDS Programme of Research in South Africa, appeared in a deepfake video showing him making anti-vaccination statements while endorsing counterfeit heart medicine.

Legal protection in South Africa

South Africa has a mixed legal system that combines constitutional rights, legislation and common law rules to provide deepfake victims with remedies.

There are laws that provide remedies in both civil and criminal cases. For example:

Cybercrimes Act 19 of 2020: criminalises electronic publication of intimate private images without consent.
Electoral Act 73 of 1998: bans publishing false information to influence elections.
Films and Publications Act 65 of 1996: prohibits online distribution of private sexual photographs and films to cause harm.
Protection of Personal Information Act: prohibits misuse of personal information that infringes privacy.

Common law remedies

Anyone can claim violation of privacy if their private images are used without permission. They can also enforce their right to identity if a deepfake misrepresents them or gives a perpetrator commercial advantage.

I investigated these principles in an article about the impact of deepfakes on the right to identity in South Africa. Using South African cases, I found that the unauthorised use of a person’s identity attributes in a deepfake deserves protection.

The Supreme Court of Appeal confirmed, in Grütter v Lombard, that South African law protects a person’s identity from being exploited without permission. And this protection is supported by the constitutional guarantee of human dignity. Grütter and Lombard once practised on the same premises under the name “Grütter and Lombard”, but Grütter later left. Lombard kept using Grütter’s name without consent. The court ordered him to stop as it falsely implied an ongoing professional association and infringed Grütter’s right to identity.

In another case, a surfer’s magazine called ZigZag published a photo of a 12-year-old girl as a pin-up cover image. The court stressed that the key issue was whether an image was exploited for another’s benefit without consent. The defendants were ordered to pay compensation and costs.

Another case is that of South African television personality, beauty pageant titleholder, businesswoman and philanthropist Basetsana Kumalo. She sued a business that took photos of her while she was shopping in their store and used those images in an advertisement for their products without her permission. The court ruled that using someone’s likeness for false endorsements infringes identity and privacy, because it creates the misleading impression of support for the product, service or business.

These cases fit squarely into the deepfakes misuses, showing that false endorsement, election disinformation and non-consensual pornography on social media can trigger liability.

Enforcement challenges

While South African law provides remedies against deepfakes, four hurdles frustrate enforcement:

South African courts have capacity constraints and struggle to resolve backlogs.
Litigation remains a “rich man’s” option. The poor struggle to access justice or wait too long for pro bono help.
While South African courts can assert jurisdiction over global platforms like Meta and TikTok, serving court orders abroad and compelling compliance is still costly, and takedown notices are often enforced too late.
Perpetrators hide behind fake profiles and are hard to trace through the South African Police Service. Social media companies delay revealing the perpetrators’ true identities upon request.

These enforcement challenges can be addressed through capacity building and legal reform. AI research centres should work with law enforcement to train personnel and provide practical skills and tools for tracing and authenticating deepfakes. Parliament must update social media laws so that platforms are directly accountable for fast and fair action when people’s identities are misused in deepfakes.

Legal rules should set minimum standards that deepfake apps and platforms must follow. Rather than relying on age restrictions or consent alone, the law should require these tools to embed watermarking to signal that content is a deepfake, enable tracing of where it comes from, and make sure takedown systems actually work.

Justice on paper

South African law clearly prohibits the misuse of identity through deepfakes, but enforcement gaps leave victims exposed. Without affordable legal access, faster platform accountability, and effective international cooperation, illegal deepfakes will continue to increase.

Nomalanga Mashinini receives funding from the National Research Foundation Thuthuka Grant.

Who’s got the power? Studies of male and female primates show it’s not simple

2025-09-16T13:27:19Z

Our understanding of female-male power relationships in animals has changed over time. Evolutionary biologists once thought that male mammals held clear-cut power over females. Later, species with pronounced female power over males were presented as exceptions in a landscape of strict male power. Spotted hyenas and certain primates, including bonobos and most lemurs, were examples of female dominance.

These views were reinforced by the assumption that males and females competed over different resources: males over females, and females over food.

But it’s not that simple, as the research of our colleagues and our own work on various primates has shown.

We reviewed studies of primate species and found that power relationships between the sexes varied significantly. In our sample, only 25 species exhibited clear male power, 16 exhibited clear female power, and the remaining species (about 70%) exhibited moderate or no sex biases in power. Most primate females can compete directly with males and often overpower them.

Size and strength differences between males and females

Males don’t always have all the power even when they are much larger and stronger than females.

In an earlier study, we showed that female mandrills in Gabon sometimes outrank males that are more than three times heavier than them.

Gorillas are an interesting case too. Apart from the big difference between males and females in body and canine tooth size, they are also typically presented (by scientists and non-scientists) as the species with the strictest male-biased power over females among great apes. They’ve become the “male power archetype” among animals.

We drew on 25 years of data about mountain gorillas in Uganda, to test if males strictly overpower females. Our findings suggest that females may leverage support from the most powerful males to gain power over other males. Or they may leverage access to themselves, and some males yield to females to acquire such access.

Our findings in mandrills and gorillas contribute a new perspective on the ecology and evolution of female-male power relationships in great apes and other primates that is not solely based on size and strength. They call for future work to investigate similar long-standing assumptions regarding the evolutionary origins of intersexual relationships across species.

Factors influencing power across primates

Our comparative analysis showed that intersexual power is influenced by different factors. Generally, females rely less than males on physical force and coercion in order to gain power. Female power is more likely to prevail in species that are monogamous, have little or no body size difference between adult females and males, and/or forage primarily in trees. These are conditions that give females greater control over reproduction.

By contrast, male power is more likely to prevail in species where males mate with multiple females, are primarily terrestrial, and have larger bodies or greater weapons than females.

Even when these conditions are met, however, there isn’t always a clear-cut bias in intersexual power of a social group or species.

Male mandrills and gorillas mate with multiple females and are terrestrial. In these species males generally have more power than females, and the highest ranking individual in a group’s social hierarchy is always a male. Yet power is not clear-cut and females can overpower other males.

What males and females compete for

Finally, our studies suggest that females and males often compete directly over access to resources.

In the comparative study across primates, we found that contests between females and males represented on average almost half of all contests in a social primate group.

In the study on mountain gorillas, we found that power relationships between females and males determined priority of access to a precious food resource, and when a female overpowered a male, she always had priority over him.

Altogether, these new findings suggest that:

most primate societies do not have clear-cut sex-biases in power
even in species with extreme male-biases in size and strength, females can overpower males
females and males compete directly over similar resources.

These findings refine our interpretation of intersexual relationships across animals. They caution against oversimplified views based solely on physical strength while neglecting the complexity of their social landscape.

Finally, this work shows that the human profile does not really resemble other primates where there is clear male dominance or clear female dominance. Instead, humans are closer to those “intermediate” species with moderate and flexible dominance relationships. This can inform attempts to reconstruct power relationships between men and women in early humans.

Elise Huchard receives funding from CNRS and the French Agence Nationale pour la Recherche (ANR).

Nikos Smit does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Baby turtles vanish into the Indian Ocean for years: now a model shows where they might go

2025-09-08T14:33:00Z

All sea turtle species are threatened worldwide. They migrate long distances in the oceans – often thousands of kilometres – and so fall under multiple countries’ laws and conservation targets. They also have a complex life cycle with changes in habitats and diet at different life stages. These things make it difficult to protect them from threats like illegal harvesting, fisheries bycatch, coastal development, diseases and pollution.

Although they predictably return to the same nesting grounds on beaches where they were born, and the movements of adults have been well studied (mostly using satellite tracking), very little is known about their early life. Once newly hatched turtles enter the sea and disperse, they are gone for several years, also known as the “lost years”.

It’s hard to track hatchlings because they are small (just a few centimetres long), many die, and the survivors grow fast (so tracking devices don’t stay on). But knowing more about where they go during these “lost years” would help conservation scientists to improve their chances of survival and thus ensure recruitment and population viability.

Computer models are valuable tools for predicting the distribution of organisms in the oceans. The Sea Turtle Active Movement Model, for example, has been used to suggest how young turtles might disperse in the North Pacific and North Atlantic oceans – not only drifting in currents but actively swimming to their preferred habitats. The two most important factors are water temperature and food availability.

I was part of a team of scientists in South Africa who worked with the creators of that model to set up a similar one for the western Indian Ocean turtles. These are the species that nest on the eastern coast of the African continent and offshore islands.

We knew something about the surface currents in the Indian Ocean, the sea temperatures, the tiny hatchlings’ swimming speed, their starting points, what food they might need to find, and their growth rate. All this could be combined in the model to calculate where they might be at different points in time. The model produced maps predicting the distribution of dispersal for each species of sea turtle in the western Indian Ocean.

We found that ocean currents were the most important driver of dispersal, as hatchlings’ swimming abilities are limited during the first year. Swimming becomes more important as the young turtles grow.

This was similar to the findings of other studies.

Young turtles don’t stay inside marine protected areas all the time. The maps we created can be used to show where and when they might be most vulnerable and which areas of the ocean are most important to protect.

Indian Ocean turtles

We chose to model the sea turtles of the western Indian Ocean for a few reasons. There are five species that nest here; all the countries on this coastline and offshore islands have turtle conservation and monitoring programmes; and the ocean currents are complex.

The five species are green turtles (Chelonia mydas); hawksbills (Eretmochelys imbricata); loggerheads (Caretta caretta); leatherbacks (Dermochelys coriacea); and olive ridleys (Lepidochelys olivacea, which nest in smaller numbers and have not been included in our model). We had already studied their hatchling fitness, including their different swimming speeds, which was information the model would need.

The protected areas include South Africa’s iSimangaliso Wetland Park, a Unesco World Heritage Site. The turtle rookery there is about 200km long and has been monitored since 1963.

Our model also incorporated a high resolution ocean model of the Mozambique Channel, a very turbulent and dynamic oceanic region. It mostly flows southward, but eddies also send surface water in all directions. At the western end of the channel’s Agulhas Current, the Agulhas Rings also transport water into the South Atlantic Ocean, connecting the two ocean basins and a potential route for young turtles.

Water temperature matters too. Sea turtles do not regulate their own body temperature and the newly hatched turtles are less tolerant of temperature changes than adults are, but vary depending on the species. Temperature is more important for their survival than food is (their food requirements are easily met during the first year, as they are so small).

The model uses data on surface ocean currents and primary productivity (as a proxy for food availability). For each nesting site and species, we “released” 5,000 “virtual hatchlings” over a one-month period of peak hatching. The daily location of each virtual hatchling was recorded over one year. The model simulated young turtle dispersal and thereby estimated their potential distribution at an individual level. We then analysed this to predict their dispersal corridors at the population level.

Where young turtles go

The study revealed that the young turtles mostly go from their hatching site to a particular developmental area (the place where they develop for the first years) even though these are sometimes very far apart. Dispersal is mostly driven by ocean currents (during the first year) but differs among species. When they are older, currents are less important in their dispersal, and they start to actively swim towards favourable ocean areas.

There were three distinct dispersal corridors: among equatorial Indian Ocean islands (hawksbills); along east Africa (green turtles); and around southern Africa (loggerheads and leatherbacks).

The study allowed us to predict and map where critical dispersal habitats might be for four species nesting in this ocean region. It’s the first study to provide a regional-scale estimate of the dispersal pathways and corridors used by young turtles (individually and as populations), which are usually lacking in conservation assessments.

The results can also assist to develop more targeted management measures for conservation managers and policy makers, which will enhance the protection afforded to each of these threatened migratory species. The UN’s new high seas treaty will be instrumental in extending these actions into areas beyond national jurisdiction.

Diane Le Gouvello does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

How do bodies decompose? Cape Town forensic scientists are pushing frontiers of new detection methods

2025-09-03T13:14:39Z

Cape Town has consistently been one of the metropolitan regions in South Africa with the highest murder rates. It has more than double the national average, and is currently ranked second overall and 16th worldwide. Many victims are discovered only after their bodies have decomposed, burned, or been exposed to the elements. That makes identification difficult and delays justice.

Each year, more than 3,500 unnatural deaths, including murders and accidents, are handled by the city’s Observatory Forensic Pathology Institute. Around 9% remain unidentified. That’s hundreds of families left without answers. We asked Victoria Gibbon and colleagues about their work in forensic taphonomy.

What is the role of forensic taphonomists?

In death, we all decompose in the same general way. But understanding the nuances, especially those introduced by unnatural deaths, requires forensic taphonomy – the science of understanding how bodies break down. Every decomposition process is unique. It is shaped by everything around us: what we’re wearing, how we’re buried and what animals and insects might find us first.

Forensic taphonomists study all these variables and more, specialising in the recovery and analysis of human remains in the context of their environment. They play a vital role in death investigations involving unidentified persons, which requires specialised expertise in the human body and environment. There is a close working relationship with police and pathologists who hold the responsibility for identification and circumstances of death.

Imagine: a body is uncovered amid the sand and scrub of Cape Town’s coastline. By the time it’s found, the remains are in an advanced state of decomposition – identity unclear, the timeline murky. Understanding decomposition helps to determine how long someone has been dead, which can support identification, narrow down missing persons lists, or confirm (or contradict) witness accounts. It’s essential, delicate and some could say, grim work.

Forensic taphonomists’ expertise lies in understanding how bodies decompose under different conditions and how that process can reveal time-since-death, potential trauma, and ultimately, identity. Forensic taphonomists answer questions like: Who was this person? How long have they been there? And what happened to them? Their work sits at the intersection of science, justice and innovation. Because in the end, forensic science is about justice, not just science.

One of the main challenges in forensic taphonomy is that many of the global standards were developed in countries with very different climates and ecological systems. So, they are not representative of South Africa. Cape Town’s internationally unique microclimates, soil types and scavenger populations don’t align neatly with existing models.

To produce locally relevant data, researchers need to observe how decomposition actually happens in these settings. In South Africa, the legislation does not allow forensic taphonomists to study the decomposition of human bodies donated to medical science for research, as happens elsewhere in the world. Therefore they most frequently study the decomposition of adult domestic pigs as internationally accepted models for human decomposition. Pigs have numerous biological similarities to humans that are important for decomposition.

Initial decomposition studies in the Western Cape more than a decade ago began by examining unclothed bodies to establish baseline data. But as it turns out, that’s not what most cases look like. In reality, most deceased persons are clothed, and usually discovered alone. This mismatch prompted a shift.

What have you done differently in your research?

More realistic, single-body, clothed studies were needed. That meant smaller sample sizes, longer timelines, and greater data accuracy. But it leads to findings that are actually applicable in local forensic work.

We innovated, creating a world-first automated data collection machine to tackle the challenge of consistency and cost-effective, reliable long-term monitoring. It tracks decomposition in real-time, continuously and remotely. As bodies lose mass (due to water evaporation, insect activity, or tissue breakdown), the machine logs the weight changes, providing high-resolution data on the progression of decomposition. This removes the subjectivity of human observation. It allows researchers to collect standardised information across multiple cases and environments, simultaneously. It is solar-powered and transmits data remotely via cell phone networks, meaning it can be deployed anywhere we need to establish data for.

Our system has tracked in detail how tissues dry out beneath the skin. This can help reconstruct the time since death by linking drying patterns to environmental conditions and weather.

In addition to weighing decomposing bodies, our system provides continuous power to two motion-activated infrared trail cameras.

One camera trap is positioned directly above the body; the other is alongside the body. Together, these cameras record photos and videos of the decomposition process, giving us detailed insight into the activities of the animals that come to eat and otherwise interact with the decomposing body.

This machine offers precision, reliability and adaptability. It transforms how decomposition can be studied.

What’s next?

This technological innovation isn’t just a local solution. The team aims to provide a means by which researchers from different countries can share results that are directly comparable. These will form the basis for a global taphonomic data network: a collaborative platform for researchers to gain insights into decomposition as it plays out across geographies, environments and case types.

The hope is that this network will allow forensic anthropologists to adapt decomposition estimates to local contexts while contributing to an international evidence base.

Collectively, our research innovations may help produce more accurate case outcomes, that are admissible in court, and capable of providing justice for victims. Assistance with case resolution means restoring the identities of those who might otherwise have been lost to justice and history.

Victoria Gibbon receives funding from National Research Foundation of South Africa. She is affiliated with The University of Cape Town.

Devin Alexander Finaughty receives funding from the Oppenheimer Memorial Trust. He is affiliated with the University of the Witwatersrand and the Wildlife Forensic Academy.

Kara Adams is affiliated with the University of Cape Town.

We decoded the oldest genetic data from an Egyptian, a man buried around 4,500 years ago – what it told us

2025-09-03T13:14:36Z

A group of scientists has sequenced the genome of a man who was buried in Egypt around 4,500 years ago. The study offers rare insight into the genetic ancestry of early Egyptians and reveals links to both ancient north Africa and Mesopotamia, which includes modern day Iraq and parts of Syria, Turkey and Iran.

Egypt’s heat and terrain made it difficult for such studies to be conducted but lead researcher Adeline Morez Jacobs and team made a breakthrough. We spoke to her about the challenges of sequencing ancient remains, the scientific advances that made this discovery possible, and why this genome could reshape how we understand Egypt’s early dynastic history.

What is genome sequencing? How does it work in your world?

Genome sequencing is the process of reading an organism’s entire genetic code. In humans, that’s about 3 billion chemical “letters” (A, C, T and G). The technology was first developed in the late 1970s, and by 2003 scientists had completed the first full human genome. But applying it to ancient remains came much later and has been far more difficult.

DNA breaks down over time. Heat, humidity and chemical reactions damage it, and ancient bones and teeth are filled with DNA from soil microbes rather than from the individual we want to study. In early attempts during the 1980s, scientists hoped mummified remains might still hold usable DNA. But the available sequencing methods weren’t suited to the tiny, fragmented molecules left after centuries or millennia.

To sequence DNA, scientists first need to make lots of copies of it, so there’s enough to read. Originally, this meant putting DNA into bacteria and waiting for the colonies to grow. It took days, demanded careful upkeep and yielded inconsistent results. Two breakthroughs changed this.

In the early 1990s, PCR (polymerase chain reaction) allowed millions of DNA copies to be made in hours, and by the mid-2000s, new sequencing machines could read thousands of fragments in parallel. These advances not only sped up the process but also made it more reliable, enabling even highly degraded DNA to be sequenced.

Since then, researchers have reconstructed the genomes of extinct human relatives like Neanderthals, and more than 10,000 ancient people who lived over the past 45,000 years. But the work is still challenging – success rates are low for very old remains, and tropical climates destroy DNA quickly.

What’s exceptional about the sequencing you did on these remains?

What made our study unusual is that we were able to sequence a surprisingly well-preserved genome from a region where ancient DNA rarely survives.

When we analysed the sample, we found that about 4%-5% of all DNA fragments came from the person himself (the rest came from bacteria and other organisms that colonised the remains after burial). The quantity of DNA of interest (here, human) is usually between 40% and 90% when working with living organisms. That 4%-5% might sound tiny, but in this part of the world, it’s a relatively high proportion, and enough to recover meaningful genetic information.

We think the individual’s unusual burial may have helped. He was placed inside a ceramic vessel within a rock-cut tomb, which could have shielded him from heat, moisture and other damaging elements for thousands of years.

To make the most of this rare preservation, we filtered out the very shortest fragments, which are too damaged to be useful. The sequencing machines could then focus on higher-quality pieces. Thanks to advanced facilities at the Francis Crick Institute, we were able to read the DNA over and over, generating about eight billion sequences in total. This gave us enough data to reconstruct the genome of what we call the Nuwayrat individual, making him the oldest genome from Egypt to date.

Does this open new frontiers?

We did not develop entirely new techniques for this study but we combined some of the most effective methods currently available into a single optimised pipeline. This is what palaeogeneticists (scientists who study the DNA of ancient organisms) often do: we adapt and refine existing methods to push the limits of what can be recovered from fragile remains.

That’s why this result matters. It shows that, with the right combination of methods, we can sometimes retrieve genomes even from places where DNA usually doesn’t survive well, like Egypt.

Egypt is also a treasure trove for archaeology, with remains that could answer major questions about human history, migration and cultural change.

Our success suggests that other ancient Egyptian remains might still hold genetic secrets, opening the door to discoveries we couldn’t have imagined just a decade ago.

What was your biggest takeaway from the sequencing?

The most exciting result was uncovering this man’s genetic ancestry. By comparing his DNA to ancient genomes from Africa, western Asia and Europe, we found that about 80% of his ancestry was shared with earlier north African populations, suggesting shared roots within the earlier local population. The remaining 20% was more similar to groups from the eastern Fertile Crescent, particularly Neolithic Mesopotamia (present-day Iraq).

This might sound expected, but until now we had no direct genetic data from an Old Kingdom (2686–2125 BCE) Egyptian individual. The results support earlier studies of skeletal features from this period, which suggested close links to predynastic populations, but the genome gives a far more precise and conclusive picture.

This genetic profile fits with archaeological evidence of long-standing connections between Egypt and the eastern Fertile Crescent, dating back at least 10,000 years with the spread of farming, domesticated animals and new crops into Egypt. Both regions also developed some of the world’s first writing systems, hieroglyphs in Egypt and cuneiform in Mesopotamia. Our finding adds genetic evidence to the picture, suggesting that along with goods and ideas, people themselves were moving between these regions.

Of course, one person can’t represent the full diversity of the ancient Egyptian society, which was likely complex and cosmopolitan, but this successful sequencing opens the door for future studies, building a richer and more nuanced picture of the people who lived there over thousands of years.

Adeline Morez Jacobs does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Genetic tests for cancer can give uncertain results: new science is making the picture clearer to guide treatment

2025-09-03T13:14:16Z

Cancer treatment is becoming more personalised. By considering a patient’s unique genetic and molecular profile, along with their lifestyle and environmental factors, doctors can make more accurate treatment decisions. This approach, known as personalised or precision medicine, has been increasingly used in South Africa and has expanded to other African countries in recent decades. It requires doctors to rely more on genetic tests to guide decisions. But these tests don’t always give clear answers. Functional genomics may offer a way to improve the interpretation of unclear genetic test results. We spoke to physiological scientist Claudia Christowitz about it.

Is cancer a genetic disease and what is personalised medicine?

Cancer is fundamentally a genetic disease. It arises when changes in a person’s DNA (referred to as variants or mutations) disrupt normal cell functions such as cell growth and division. It eventually leads to tumour formation. These changes can be inherited from families or acquired during a person’s lifetime. This can be due to lifestyle and environmental risk factors such as smoking, ultraviolet radiation and infectious agents, among others.

Over the past few decades, we’ve entered the era of personalised medicine. As a result, the role of genetics in cancer treatment has become more prominent. Personalised medicine involves tailoring cancer treatment to each patient’s unique characteristics.

For example, even if two people are diagnosed with the same type and stage of cancer, their treatment outcomes may differ. This is because factors such as their genetic and molecular make-up, overall health status, age, body composition, lifestyle habits, and use of other medication can all influence how well a treatment works for them.

How have advances in genetic testing helped in treating cancer?

Advances in DNA sequencing technologies have made it possible to detect genetic variants more quickly and accurately. The tests can look for just a few genes linked to certain medical conditions, or they can describe the entire genome of an individual, or just the protein-coding regions of the genome (the exome).

DNA sequencing has revolutionised cancer care. Doctors can use it to improve prevention in people who are at risk of cancer, detect cancer early, and select the most appropriate treatment.

Africa’s first high-throughput Genomics Centre was launched in 2019 by the South African Medical Research Council. Cancer patients can now undergo whole exome sequencing and whole genome sequencing locally for around R10,000 (about US$566) to R20,000 (about US$1,132). This is sometimes covered by medical insurance. These services are also available at research facilities like the Centre for Proteomic and Genomic Research or the Centre for Epidemiological Research and Innovation at Stellenbosch University.

These facilities strengthen the capacity to sequence, analyse and store human genomes, particularly for the diverse gene pool in Africa. But routine genome sequencing, especially in the public health sector, remains limited due to high costs, limited awareness and the need for trained personnel.

What are the shortcomings of genetic testing?

Genetic testing doesn’t provide all the answers. Unfortunately, not all genetic results are clear-cut. In many cases, patients receive results showing changes in their DNA that cannot be confidently classified as either harmful (pathogenic variants or mutations) or harmless (benign variants). These unclassified variants are known as variants of uncertain significance. The uncertainty often leaves both patients and their oncologists (cancer doctors) unsure of the way forward.

With the advancement of sequencing technologies, rare or novel variants are more frequently detected. But without a clear understanding of whether the variant affects gene function, clinicians are often forced to wait – sometimes for years – until more information emerges.

When patients undergo genetic testing – often as part of a hereditary cancer screening or in response to early-onset or familial cancers – the hope is to find a variant that clearly explains their condition. But sequencing may yield variants of uncertain significance, raising questions about its usefulness in patient care and whether the tests are worth the cost.

What is functional genomics and how can it make genetic test results clearer?

Functional genomics is a growing field that could transform how we interpret these unresolved genetic results and make it possible to improve clinical care for cancer patients.

Functional genomics goes beyond simply reading the DNA code. It investigates how genetic variants behave in biological systems. By examining how a variant alters gene expression, protein function, cell behaviour, or response to treatments, scientists can determine whether it is likely to be benign or pathogenic.

This information is crucial for making timely medical decisions. Importantly, cells derived from patients can be used to mimic real biological conditions more accurately. By using cells carrying such a variant and comparing them to cells without the variant, scientists can determine whether the variant is influencing the response of cells to certain treatments or not.

In short: genetic testing is like reading the “instruction manual” of a cell. Functional genomics is like testing the effects of changes to these instructions.

My study, using patient-derived cells, investigated the effects of a rare TP53 variant that was identified for the first time in germline (inherited) DNA through whole exome sequencing in a South African family with multiple cancers. I found that this variant made cells resistant to the chemotherapy drug doxorubicin. Instead of undergoing cell death as expected, the cells went into a kind of “sleep mode” called senescence, where damaged cells stop dividing.

Although this prevents the growth of damaged cells, senescent cells can release signals that may inflame and harm nearby healthy cells. The variant also reduced how well immune cells can move, which may affect their ability to go to cancer cells and attack them. This study, supervised by Prof Anna-Mart Engelbrecht, Prof Maritha Kotze, and Dr Daniel Olivier from Stellenbosch University, highlighted how functional genomics can unravel the impact of a variant of uncertain significance, which may guide medical decisions.

In a world where personalised medicine is rapidly evolving, functional genomics represents a critical step forward, offering more clarity, better care, and renewed hope to those facing cancer.

Claudia Christowitz received funding from the National Research Foundation, South Africa.

Supernova theory links an exploding star to global cooling and human evolution

2025-09-02T13:44:13Z

Artist's impression of a supernova. By ESO/M. Kornmesser/Wikimedia Commons, CC BY

What’s the link between an exploding star, climate change and human evolution? Francis Thackeray, who has researched ancient environments and fossils for many years, sets out his ideas about what happened in the distant past – with enormous consequences.

Global cooling that happened millions of years ago was thought to be the result of ocean currents. He suggests instead it could have been due to the impacts of remnants of supernovae. The timing of supernovae, climate changes and species evolution coincides.

What is your supernova hypothesis?

My hypothesis is that remnants of a supernova – an exploding star – had an impact on the Earth’s past climate, causing global cooling, between 3 million and 2.6 million years ago and that this indirectly affected the evolution of hominins (ancient relatives of humans).

How does this change assumptions held until now?

It has been considered by some that global cooling in the Plio-Pleistocene might have been due to changes in ocean currents. This may well be correct to some extent, but I think that the supernova hypothesis needs to be explored.

It’s super-exciting to think that our evolution may to some extent be associated with supernovae as part of our dynamic universe.

How did you come to your supernova hypothesis?

Supernovae include stars which are extremely massive (as much as five times the mass of our Sun) and have reached the end of their stellar evolution. These explosions are rare. On average, within our galaxy (the Milky Way), only one or two per century are visible from Earth as temporary bright stars.

As a result of such explosions, material is expelled into outer space at almost the speed of light. Chemical elements are formed, including a kind of iron (the element Fe) known as isotope Fe-60. It has 26 protons and as many as 34 neutrons.

Traces of Fe-60 iron isotopes from supernovae within the last ten million years have been discovered on Earth in marine deposits such as those drilled in cores in the east Indian Ocean.

The deep-sea deposits with Fe-60 can be dated using radioactive elements which decay at a known rate. This is called radiometric dating.

There was a regular increase in extremely small traces of Fe-60 for the period between 3 million and 2.6 million years ago. We know this from data published by Anton Wallner and his colleagues. Since this is a linear trend I have been able to extrapolate back to 3.3 million years when initial cosmic rays may have first hit Earth. I have proposed in the Quest magazine that this initial cosmic impact correlates with a major glaciation (cooling) event called M2 in an otherwise warm period.

A “near earth” supernova could have produced cosmic rays (radiation from outer space) which might have caused a reduction in the earth’s ozone layer. Increased cloud cover associated with cosmic radiation could have been a factor related to changes in global climate. Specifically, the change would have been global cooling.

This cooling would have affected the distribution and abundance of plant species, in turn affecting that of animals dependent on such vegetation.

What potential new insights does the hypothesis give us into human evolution?

Populations of Australopithecus may have been indirectly affected by the decrease in temperature.

Australopithecus is the genus name for distant human relatives which lived in Africa in geological periods called the Pliocene and Pleistocene. The boundary between these time intervals is 2.58 million years ago. At that time, certain species went extinct. The period coincides closely with the maximum of Fe-60 in marine deposits and a change in Earth’s magnetic field.

Australopithecus africanus: cast of Taung child. Wikimedia Commons, CC BY-SA

The first fossil of Australopithecus to be described, 100 years ago, was placed by the palaeontologist Raymond Dart in a species called A. africanus. Dubbed the “Taung Child”, it was discovered in South Africa. Its biochronological age, recently based on mathematical analyses of tooth dimensions, is about 2.6 million years – at the Plio-Pleistocene boundary.

It cannot be concluded that the death of the Taung Child was directly caused by a supernova. This would be far-fetched. There is in fact evidence that this individual, about 3 years old, was killed by an eagle.

However, it is plausible to suggest that in Africa, in the Plio-Pleistocene, populations of Australopithecus were affected by a decrease in temperature affecting the distribution and abundance of vegetation and the animals dependent on it.

Recently, a new species of Australopithecus (as yet not named, from Ledi-Geraru) has been discovered in Ethiopia, in deposits dated at about 2.6 million years ago – also the time of the maximum in Fe-60 in deep-sea deposits.

The appearance of the genus Homo is close to the Plio-Pleistocene boundary, reflected by fossils reported recently by Brian Villmoare and his colleagues and well dated at about 2.8 million years ago. The origin of Homo may relate to changes in temperature and associated changes in habitat, as recognised five decades ago by South African palaeontologists Elisabeth Vrba and Bob Brain, although they emphasised a date of 2.5 million years ago.

Is it possible that cosmic radiation stimulated genetic changes?

I have been told by my peers that I am inclined to think “out of the box”. Well, in this case I would like to propose a “hominoid mutation hypothesis”. The hypothesis states that the speciation of hominoids (including human ancestors and those of chimpanzees and gorillas) was to some extent associated with mutations and genetic variability caused by cosmic rays.

It is interesting to consider the possibility that the origin of our genus Homo relates in part to cosmic radiation. Going deeper back in time, Henrik Svensmark has demonstrated that there is a correlation between supernova frequency and speciation (increased biodiversity associated with the evolution of new species), for the last 500 million years (the Phanerozoic period). I think it’s entirely possible that one important cause behind this correlation was the mutagenic (mutation-causing) effect of cosmic rays on DNA, such that rates of speciation exceeded those of extinction.

In hominoids, cosmic rays could have contributed not only to global cooling but also to genetic changes, with subsequent anatomical (morphological) changes related to speciation.

If we go back to about 7 million years ago (when Fe-60 again reflects supernova activity), we would expect to find fossils that are close to a common ancestor for chimpanzees and humans. In terms of the hominoid mutation hypothesis, the split could have been associated with cosmic radiation. One hominoid species about 7 million years old is Sahelanthropus (discovered by Michel Brunet in Chad). In my opinion this species is very close to the common ancestor for Homo sapiens (us) and chimps.

Francis Thackeray has received funding from the National Research Foundation.

Breast cancer: new study finds genetic risk in African women

2025-09-02T13:43:45Z

Breast cancer is the most common cancer in women worldwide. In sub-Saharan Africa, it is a leading cause of cancer-related deaths among women.

Risk factors for developing breast cancer include being female, increasing age, being overweight, alcohol consumption and genetic factors.

In this field, genome-wide association studies are a powerful tool. They can identify common genetic variants, or mutations, that can affect your likelihood of developing a trait or disease. These studies scan the whole genome (all of a person’s DNA) to find genetic differences present in people with a particular disease or traits.

Since their introduction in 2005, these studies have provided insights that can help in the diagnosis, screening and prediction of certain diseases, including breast cancer. Recent findings have been used to develop prediction tools that help identify individuals at high risk of developing diseases. Genetic risk scores (also known as polygenic risk scores) estimate disease predisposition based on the cumulative effect of multiple genetic variants or mutations.

But most research has been conducted on populations of European ancestry. This poses a problem, as genetic diversity and environmental variability differ across the world. In Africa, even greater genetic diversity is observed across populations.

To fill this gap we – researchers from Wits University, Sydney Brenner Institute for Molecular Bioscience, and our collaborators, the South African National Cancer Registry – conducted the first genome-wide association study of breast cancer in a sub-Saharan African population.

We compared genetic variation between women with breast cancer and those without, looking for variants that occur more frequently in the cancer patients.

We identified two genomic variants close to the RAB27A and USP22 genes that contribute to the risk of breast cancer in South African black women. These genetic variants have not been previously found to be associated with breast cancer in non-African populations.

Our findings underscore the importance of identifying population-specific genetic variants, particularly in understudied populations. Different populations may carry unique variants that contribute differently to breast cancer risk. Risk variants found in other populations might not be found in African populations. This reinforces the idea that research efforts and risk scores must be done in different populations, including African ones.

Comparing women’s DNA

DNA samples from 2,485 women with breast cancer were compared to 1,101 women without breast cancer. All the women were residents of Soweto in South Africa. The breast cancer cases were recruited to the Johannesburg Cancer Study over 20 years and the controls were from the Africa Wits-INDEPTH Partnership for Genomic Research study.

The analysis used technology (called a DNA chip) specially designed by the H3Africa consortium to capture the genetic variants within African populations.

By comparing genetic variation in women with breast cancer and in those without, we identified two genetic variants that contribute to the risk of breast cancer in South African black women. They occur around genes that are involved in the growth of breast cancer cells, in the ability of cancer cells to metastasise (spread), and in tumour growth in different cancers.

We also applied polygenic risk scores to our African dataset. This is a method that estimates the risk of breast cancer for an individual based on the presence of risk variants. These are derived from the results of genome-wide association studies. The risk score we used was based on risk variants from a European population. We used it to evaluate its ability to predict breast cancer in our African population.

The results showed that the risk score was less able to predict breast cancer in our sub-Saharan African population compared to a European population.

What next?

This is the first large-scale genome-wide association analysis in sub-Saharan Africa to find genetic factors that affect an individual’s risk of developing breast cancer.

Our study included fewer than 4,000 samples. Larger breast cancer genetic studies have involved over 200,000 cases and controls, but without representation from sub-Saharan African populations. This highlights the urgent need for greater research efforts and increased participation from the continent.

The results from this and future studies will help doctors screen patients and pinpoint those with a high risk. Once we know who is at high risk, they can be offered more frequent check-ups and preventive measures. This allows us to catch breast cancer early – or even prevent it – before it has a chance to develop or spread.

Further research will be needed to understand how these genes increase the risk of developing breast cancer and improve breast cancer prediction. Notably, applying European-derived polygenic risk scores did not accurately predict breast cancer in the African dataset. And they performed worse than in non-African datasets. These results are consistent with findings reported previously for other diseases.

We are involved in a global study of the genetics of breast cancer called Confluence which is looking at genetic risk factors in many populations, including African ones.

Professor Christopher Mathew and Beth Amato helped in the writing of this article.

Jean-Tristan Brandenburg receives funding from the German Federal Ministry of Education and Research (BMBF) under grant 01KA2220B to the RHISSA Programme for the NORA Consortium. Additionally, he is supported by the Science for Africa Foundation through Programme Del-22-008, with funding from the Wellcome Trust and the UK Foreign, Commonwealth & Development Office. He is also a participant in the EDCPT2 programme, which is supported by the European Union.

Mahtaab Hayat does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

World maps get Africa’s size wrong: cartographers explain why fixing it matters

2025-08-28T14:48:44Z

The African Union has endorsed the #CorrectTheMap Campaign, a call for the United Nations and the wider global community to use a different kind of world map. The campaign currently has over 4,500 signatures.

The map most commonly used is called the Mercator projection. Map projections are how cartographers (map makers) “flatten” the three-dimensional Earth into a two-dimensional map.

The Mercator projection was created over 450 years ago, designed for colonial exploration and maritime trade. But, over the centuries, it has become an “all purpose” projection for many governments, educators and companies.

That flat drawing inflates the size of countries closer to the North or South Pole. It exaggerates the area of North America and Eurasia while under-representing the size of much of South America and Africa. As the largest continent in the global south, Africa is a victim of this cartographic inequity.

The #CorrectTheMap campaign calls for a move to the Equal Earth map projection, developed in 2018 by an international team of cartographers. It addresses the distortions found in the Mercator projection.

Controversies over map projections are not new. Since the 1970s cartographers have discussed how certain projections distort how the Earth looks and how people imagine their place in that world.

At the heart of the debates about maps are tensions about what sort of power maps have in the world.

A change in map projections, for the African Union, is about more than correcting a technical flaw. It’s also a chance to influence how current and future map users view, talk about and value Africa.

The call is a demand for Africans to be represented on their own terms, rather than through cartographic traditions that have long diminished their scale and significance.

As cartographers, we pay attention to the social and communicative power of maps.

Given that maps help shape how we make sense of the world, the simplest decisions that go into crafting a map can have major geopolitical consequences.

Maps are not neutral

There are over 200 major projections of the world map. Each one warps the image of the Earth in different ways, making the choice of projection a consequential and complicated decision rather than a neutral one.

For example the Dymaxion projection, developed by the American engineer Buckminster Fuller, was designed to challenge ideas of the north and the south. Others, like the Lambert conformal conic projection, are used extensively in aviation to aid in flight planning.

Maps are a form of storytelling, as well as an information source. Even the lines, colours, symbols and size of regions depicted on maps communicate social meaning. They subtly but powerfully educate people, from schoolchildren to world leaders, about who and what matters.

US president Donald Trump’s recent interest in the US buying Greenland, citing its large size, was likely influenced by map distortion. The Mercator projection shows Greenland as nearly the same size as Africa, when in reality Africa is about 14 times larger.

Other projections do a better job at more accurately representing the true size of continents. Some projections are better than others for this specific task; for example the Gall-Peters projection has been used in the past as an alternative to the Mercator projection.

Cartography as a tool of control

Cartography has been a powerful tool of control throughout Africa’s history. Topographers and surveyors participated in the European conquest and colonisation of Africa, regularly accompanying military expeditions. Map-makers in Europe framed Africa as a landscape to be exploited by populating maps with trade routes, resources and blank spaces ready for development – all while often ignoring the mapping traditions and geographic knowledge of indigenous Africans.

The Berlin Conference of 1885, where European powers assembled with no African representation, was one of the pinnacles of this cartographic and colonial grab and partitioning of the continent.

The Mercator projection is joined by other kinds of western storytelling – found across popular culture, the news and diplomatic circles – that have stereotyped, degraded and undersized Africa’s place in the world.

Viewed in this light, the public reckoning over the Mercator projection can be interpreted as not just about the visual accuracy of a map, also the restoration of dignity and autonomy.

Why changing the world map is difficult

Bringing about changes won’t be easy.

Firstly, global map production is not governed by a single authority. Even if the United Nations were to adopt the Equal Earth projection, world maps could still be drawn in other projections. Cartographers are frequently commissioned to update world maps to reflect changes to names and borders. But the changes don’t always find quick acceptance. For example, cartographers changed English-language world maps after the Czech Republic adopted the name “Czechia” as its English name in 2016. While making the change was not difficult, broader acceptance has been harder to achieve.

A person’s mental image of the world is solidified at a young age. The effects of a shift to the Equal Earth projection may take years to materialise. Previous efforts to move away from Mercator projection, such as by Boston Public Schools in 2017, upset cartographers and parents alike.

Given the African Union’s larger goals, supporting the Equal Earth projection is the first step in pushing the global community to see the world more fairly and reframing how the world values Africa. Mobilising social support for the new projection through workshops with educators, diplomatic advocacy, forums with textbook publishers, journalists, and Africa’s corporate partners could help move the world away from the Mercator projection for everyday use.

Shifting to the Equal Earth projection alone will not undo centuries of distorted representations or guarantee more equitable global relations. But it’s a step towards restoring Africa’s rightful visibility on the world stage.

What makes Lake Iro in Chad so special? It’s not just a viral sunglint photo

2025-08-26T14:01:54Z

Lake Iro in Chad was in the news in early August 2025 after a picture taken by a NASA astronaut was published showing it looking like a large, circular silver mirror as sunlight reflected off its surface and into space. The phenomenon is known as a sunglint and can happen to any water surface under the right conditions. The startling picture led The Conversation Africa to find out more about the lake. Pierre Rochette is an emeritus professor in geophysics from Aix-Marseille University in France. He has studied the lake, and navigated it too for a geophysical study. He answers questions about its properties as an impact crater from an ancient meteor.

What’s there to know about Lake Iro?

The lake is in south-eastern Chad, about 120 km from the border with the Central African Republic.

Lake Iro lies in the middle of an “inland delta”, which was formed by river waters diverging from the Bahr Salamat, a river which flows in the wet season, with very limited flow in the dry season.

It has a semi-circular shape and is about 12 km in diameter. A number of rivers meander around it.

Iro Lake is a vital resource for people living in the area. It provides permanent water and fodder for the large herds of cattle migrating from the Sahelian zone when it’s too dry to keep the animals up north.

People there also produce dried smoked fish, which is exported.

What’s unique about the lake?

Iro may be the largest extraterrestrial impact crater lake in Africa. Volcanic or karstic (where rock has dissolved) crater lakes are much more abundant on Earth.

When an asteroid or comet strikes the Earth’s surface at a speed of about 10km per second, it excavates a crater about ten times larger than itself. So the extraterrestrial body must have been 1km wide in the case of Iro Lake.

My research shows several examples of such impact craters in Chad. Their age is unknown, but likely older than ten million years.

The crater that is home to Lake Iro is a bit larger than the better known Bosumtwi Lake in Ghana. Bosumtwi crater was also excavated by an asteroid strike, but more recently, about one million years ago.

Africa has only 20 proven impact craters (among which seven have a diameter larger than 10km). That corresponds to one tenth of the total proven craters on Earth.

Since 2014, no new crater has been discovered in Africa. A large number (around 49, according to some studies) and a few other potential impact structures have been proposed in Africa, mostly based on satellite imagery and topography.

But solid proof for impact in these proposed structures, including Iro lake, is lacking due to limited or non-existent field studies.

As a group of scientists we have been heavily involved in tracking down impact craters on the continent. Our most recent work involves an ongoing study of the 40km diameter Velingara structure in Senegal.

Studying large impact craters is important to better evaluate the future threat of asteroid impacts. They also provide potential resources (like water, petrol and metals) and a record of ancient climates in the sediments accumulated in the crater lake.

How do you know it started off as a meteor crater?

Proving the impact nature of a circular structure requires traces of either extraterrestrial matter or of very high pressures endured by the target material.

Due to the likely old age and thus strong erosion of Iro’s circular depression, hardly any rock can be found on the surface. Only drilling for several hundred metres can reach the impacted rocks and thus provide definitive proof. This is a very hard task in such a remote area.

Nevertheless, the known geological features of the area provide no other explanation for the presence of this circular depression, apart from an impact.

That’s why we consider Iro Lake as a potential impact structure. It’s still unproven, but likely.

What are its distinctive geological features?

The area around Iro is extremely flat, as demonstrated by the slope of the Bahr Salamat river, south of the lake, of the order of 0.2 metres per kilometre. This explains the meandering nature of the river, highlighted by the published sunglint image.

Bahr Salamat’s altitude south of Iro is 396 metres, higher by only 40 metres from its altitude 160km to the west-south-west. In fact the Bahr (“river” in the local language) seems to go around the Iro lake depression (the average altitude of the lake is 387 metres).

This is odd as the river should have been attracted towards the depression, but can be explained by the fact that the impact generated a regional uplift that resulted in the Bahr changing its course to the south, to avoid the uplifted region.

What is a sunglint?

Depending on the angle of view, any body of water can behave as a mirror for a light source, such as the sun.

Completely still water just reproduces the object emitting the light, like a perfectly still mountain lake reproduces the rocky landscape above it.

But if the water surface is disturbed by wavelets, the perfect reflection vanishes, and is replaced by blurred light – in this case from the sun. This is the sunglint.

Anybody can experience it in clear weather from an aeroplane or from the top of a mountain, looking at a landscape containing water surfaces riddled by a breeze, in the direction of the sun.

Spectacular examples of sunglints, especially when the sun is not at its highest point (at noon), are reported from satellite imagery, as can be seen here.

The visual phenomenon is not limited to satellite imagery. The term sunglint has been in use since the 1960s. Earlier mentions of the phenomenon used the term “sun glitter”.

Pierre Rochette receives funding from Agence Nationale de la Recherche (French ministry of Science), ET-Megafire grant ANR-21-CE49-0014-03. His mission to Iro lake was supported by the University of N’Djamena in Chad, as well as the Institut de Recherche et Développement (IRD)

Data that is stored and not used has a carbon footprint. How companies can manage dark data better

2025-08-24T04:44:50Z

In today’s world, huge amounts of data are being created all the time, yet more than half of it is never used. It stays in silos, or isn’t managed, or can’t be accessed because systems change, or isn’t needed because business priorities change. This “dark data” accumulates in servers and storage devices, consuming electricity and inflating the digital carbon footprint.

It may appear harmless, but this growing mass of digital waste has consequences for the environment. Storing unused or obsolete digital data requires constant power for servers and cooling systems. This drives up electricity consumption and greenhouse gas emissions. Dark data alone is estimated to generate over 5.8 million tonnes of CO₂ annually. This is the equivalent of emissions from 1.2 million cars per annum.

Dark data also accelerates e-waste from hardware replacement and depletes resources through manufacturing, such as using recycled raw materials, and water-intensive cooling.

Organisations collect vast volumes of information during routine operations. But it might never be analysed or repurposed. System log files that track user activity, errors and transactions remain untouched after initial storage. We’re talking about every email, photo, video, or unused spreadsheet saved on a server. Think of it like forgotten boxes stored in a warehouse, except this warehouse uses energy all the time. Managing dark data is not only a matter of working efficiently; it is a pressing sustainability issue.

The solution lies partly in effective knowledge management practices.

This means making an effort to reduce the environmental impact of digital systems, particularly those related to data storage and usage. Organisations should collect, manage and retain data with energy consumption and carbon emissions in mind.

My research aimed to find ways to do this. I collected 539 quantitative and qualitative questionnaire responses representing North America at 31.9% (172), followed by Europe at 21.5% (116) and Asia at 19.9% (107). Africa (10.8%) and Australia (9.8%) were represented too, while South America (5.8%) and Antarctica (0.4%) had the smallest shares.

The findings highlighted the need for data governance, data security and continuous learning within organisations. It showed the value of energy efficient information technology practices, centralised knowledge repositories and working across disciplines to address dark data risks.

My research also provided organisations with guidelines to make digital decarbonisation part of the way they operate and make decisions. This would improve organisational efficiency, reduce carbon footprints and promote the reuse of valuable data insights.

The digital dilemma: more data, more emissions

As digital technologies become more embedded in everyday operations, the demand for data storage and processing power surges. Globally, data centres already account for about 2% of greenhouse gas emissions, equal to the environmental impact of the aviation industry. The figure is expected to double by 2030 as digital adoption accelerates.

But dark data isn’t getting much attention. This is because it is mostly unstructured, hidden in legacy systems or backup servers. Information technology and sustainability teams tend to overlook it. It’s expensive to manage and easy to ignore. But it consumes costly storage space and drives up energy bills for powering and cooling servers. It also requires ongoing backup, security and compliance measures despite delivering no business value.

Knowledge management to tidy up dark data

Knowledge management strategies can address the dark data problem. Knowledge management acts like a smart organiser for all the information that organisations hold. It makes it possible to find hidden or forgotten files buried in systems, understand whether the data is useful or outdated, and decide on the best course of action. That can be by turning valuable data into insights or securely deleting what’s no longer needed.

This reduces wasted storage, cuts costs, lowers the environmental impact and ensures that the information kept actually supports better decision-making.

We recommend two things organisations can do: classification and streamlining.

1. Classification: organise, tag, and unlock value

Classification is the first step in bringing order to data chaos. It involves discovering, tagging, categorising and assessing data to determine its relevance and value. Artificial intelligence (AI) and machine learning can help with this.

This approach not only reduces waste, but also unlocks hidden opportunities. For example, previously unused customer feedback data can be analysed for product innovation, or old project documentation can inform new initiatives.

2. Streamlining: stop hoarding, start reducing

Streamlining is about developing leaner, cleaner data environments. It calls for robust data governance, including clear retention policies, regular audits and employee education on digital hygiene. Using AI tools, organisations can identify duplicated, outdated, or irrelevant files and automate their safe deletion.

It’s not just a technical process. It involves cultivating a culture that values purposeful data usage and discourages unnecessary hoarding. When employees understand the environmental cost of unmanaged data, they become more responsible stewards of digital information. The outcome is a more agile, cost-effective and sustainable data ecosystem.

One example of an organisation doing this is the car brand, BMW Group. It’s made digital decarbonisation part of its production processes.

Google has invested in sustainable IT practices, including energy-efficient data storage and processing. The data centres of the company have been carbon-neutral since 2007, and it is working towards running its operations on 100% renewable energy.

Let data work smarter, not harder

Digital sustainability does not demand that organisations do less; it encourages them to do better. Rethinking dark data management is a step towards reducing digital emissions and conserving resources.

Through knowledge management strategies like classification and streamlining, organisations can turn an overlooked liability into a strategic asset.

Data should serve us, not burden us.

Hanlie Smuts does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.