Features
Dr Zakiyya Adam, Research Associate at the Transport Studies Unit within the University of Oxford’s School of Geography and the Environment, outlines recommendations for the implementation of cycling-promoting initiatives in mid-sized European cities.
Dr Zakiyya Adam, Research Associate, Transport Studies Unit When a city provides only cycle lanes, this comes with the implicit belief that individuals can attain a bike without any financial aid, are confident in their cycling proficiency, and that they have a secure location at which to store their bike.
This is not the case for many, especially those from lower socioeconomic backgrounds.
Truly inclusive policy should strive to remove barriers to cycling - both objective and perceived - for all segments of society.
Likewise, cycling provisions should not only focus on individuals; cargo bikes make it possible for businesses to swap out their car or van trips and for children to be transported around as passengers. To encourage this use, the larger profile and heavier frame of e-cargo bikes needs to be accounted for when designing cycle infrastructure.
Whilst it is admirable that many cities aspire to be cycle-friendly and encourage people to shift from car travel to bikes, good will and cycle lanes alone will not instigate behaviour change.
Research as part of the SPECIFIC project, led by the Transport Studies Unit (TSU), and conducted in collaboration with academics in Austria, the Netherlands, Poland and Switzerland, has sought to understand what exactly is needed to see this ambition be realised in mid-sized European cities.
Truly inclusive policy should strive to remove barriers to cycling - both objective and perceived - for all segments of society.
A thorough analysis of cycling-promoting initiatives was conducted in Bristol by TSU researchers as well as in Graz (AT), Maastricht (NL), Poznań (PL) and Bellinzona (CH) by the other teams.
In 2008, Bristol was the first city in the UK to gain Cycling City status, which secured significant investment for cycling schemes. Since then, Bristol has continued its commitment to increase the number of cyclists through the creation of dedicated cycle lanes, better cycling facilities, and more cycle training. Despite the hilly terrain, Bristol has a strong cycling culture and good infrastructure.
In each of the five cities, the researchers interviewed a comprehensive array of individuals from across local government, consultancy, advocacy groups and academia who were directly involved in such schemes, and also engaged with publicly available literature.
Policy briefs were produced for each of the five cities, highlighting the key factors that enabled or hindered pro-cycling initiatives and outlining learnings for governance and planning.
Common threads emerged across the five mid-sized cities spanning the UK, Switzerland, Austria, the Netherlands and Poland, with the following five recommendations for encouraging participation and long-term behaviour change.
1. Safe, Continuous, and Inclusive Infrastructure
If we want more people to cycle, we need to build for the bikes - and riders - we have now and want in the future.
Cycle lanes should be physically separated from other road users where possible.
Gaps, fragmentation, or poorly integrated cycle lanes are major deterrents to cycling due to safety concerns, especially for families and new riders. And all cycling infrastructure – including, for example, bollards and chicanes, and cycle parking - should be designed to be inclusive, ensuring accessibility for cargo bikes and e-bikes that are heavier and larger than conventional bikes.
If we want more people to cycle, we need to build for the bikes - and riders - we have now and want in the future.
2. ‘Cycling Support’ Beyond Paths
Cycle paths alone are not enough. Supporting infrastructure - such as secure parking, maintenance facilities, and cycle training - is essential.
Cycle paths alone are not enough. Supporting infrastructure - such as secure parking, maintenance facilities, and cycle training - is essential.
On-street cycle hangars are particularly important for people living in apartments or without access to home storage. And secure parking near mobility hubs and workplaces often determines whether people choose to ride – the risk of your bike not being there at the end of the day is not one many can afford to take.
Only by addressing the full range of rider needs does cycling become a viable and attractive option for all.
3. Community Engagement Early and Often
Public participation, especially in planning and prioritising investments, is essential. Cities that actively consult residents on infrastructure tend to see higher uptake and less resistance.
Public participation, especially in planning and prioritising investments, is essential. Cities that actively consult residents on infrastructure tend to see higher uptake and less resistance.
In Bristol, for example, cycle hangars that enable six bikes to be parked in the space of one car were heavily subscribed to at just the planning stage, and faced little public resistance as the locations were proposed and voted on by Bristolians. Citizen-led initiatives also help foster lasting behavioural change.
People back what they help to build.
4. Address Cultural and Behavioural Barriers
Campaigns, community rides, gamified apps, and ambassador programmes can play a key role in shifting perceptions and normalising cycling.
Even with adequate cycling infrastructure, social norms and personal habits can discourage people from making the switch.
Perceived safety risks, discomfort in bad weather, status quo bias, and deeply embedded car-centric mindsets all hinder uptake.
Campaigns, community rides, gamified apps, and ambassador programmes can play a key role in shifting perceptions and normalising cycling. In Bellinzona, for example, the Bellidea and Bikecoin mobile apps reward users with points redeemable for vouchers or discounts, reinforcing cycling as a socially approved and economically rewarding practice.
Changing streets is important but changing minds is essential.
5. Build Long-Term Capacity
In the UK, the spending review in June 2025 saw cuts to the level of funding for Active Travel England, who many local authorities are reliant on for delivering cycle schemes. Volunteer-led efforts are valuable, but they are not sustainable without institutional backing.
Projects must be properly resourced, with long-term investment in training, evaluation, and leadership.
In the UK, the spending review in June 2025 saw cuts to the level of funding for Active Travel England, who many local authorities are reliant on for delivering cycle schemes. Volunteer-led efforts are valuable, but they are not sustainable without institutional backing.
Cities also need robust monitoring and feedback systems in order to adapt and scale successful schemes. Only with long-term investment can promising initiatives become permanent solutions.
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International best practice offers a clear roadmap for action: invest in connected infrastructure, provide inclusive cycling support, embed public engagement in planning, focus on encouraging behavioural change, and commit to long-term investment and leadership.
And it is important that we get this right, as cycling initiatives have the potential to not just change how we move, but transform how we feel and live.
Dr Emily Warner, from Oxford University’s Nature-based Solutions Initiative, discusses the challenges of measuring biodiversity and capturing its complexity. She introduces a new framework aiming to simplify this process for practitioners, which was developed in collaboration with Dr Licida Giuliani and Dr Grant Campbell from the University of Aberdeen as part of an Agile Sprint on scaling up nature-based solutions in the UK.
Biodiversity supports the very fundamentals of human life, but its multi-faceted nature means it is easy for aspects of it to be in decline without us even realising.
Biodiversity supports the very fundamentals of human life, but its multi-faceted nature means it is easy for aspects of it to be in decline without us even realising.
Across the UK, abundance of all species has declined by an average of 19% since 1970 and nearly one in six species are at risk of extinction. The July 2025 assessment of progress on the Environmental Improvement Plan highlights the many habitat-based measures being implemented to tackle UK biodiversity loss, from four new National Nature Reserves to planting over 5,500 has of new woodland in England.
To understand whether these efforts are supporting progress towards the apex goal of thriving plants and wildlife, we need to assess how biodiversity is responding. Thinking about how we monitor these changes might seem boring, but it is important, and we won’t solve the biodiversity crisis without it!
Dr Emily WarnerWhy measuring biodiversity is so hard
From an increasing interest in biodiversity credits to national and international commitments to reverse biodiversity loss, the need for effective biodiversity monitoring methods is clear.
The challenge is that measuring biodiversity is notoriously complex. The Convention on Biological Diversity’s definition of biodiversity highlights how expansive a concept biodiversity is: 'the variability among living organisms from all sources and the ecological complexes of which they are part; this includes diversity within species, between species, and of ecosystems'.
With an increasing need to demonstrate success from conservation projects, the question of how to measure biodiversity is increasingly at the forefront of practitioners’ minds.
For example, nature-based solutions projects, which work with nature to tackle societal challenges, such as restoring a wetland to mitigate flooding, must also deliver benefits for biodiversity at their core. Similarly, multiple biodiversity credit systems – which allow the trading of tokens representing improved biodiversity – are in development in the UK alone, emphasising the critical need to be able to document increasing biodiversity.
With the rush to come up with a simple, tractable method of measuring biodiversity there is a simultaneous risk of oversimplifying, and we need to ask whether measuring something inadequately could be worse than not measuring it at all.
UK invertebrates are declining faster than plants and birds, threatening the foundation of ecosystems and direct benefits they provide to humans, such as food security, which is underpinned by pollination and pest control.
For example, biodiversity net gain in the UK aims to ensure any habitat lost during development is replaced by more or better quality habitat. Biodiversity units are estimated based on habitat size, quality, location, and type, however, this approach overlooks many habitat attributes crucial to invertebrates, running the risk that invertebrate biodiversity will not be protected. UK invertebrates are declining faster than plants and birds, threatening the foundation of ecosystems and direct benefits they provide to humans, such as food security, which is underpinned by pollination and pest control.
In contrast to monitoring carbon sequestration associated with conservation projects, where the focal unit of measurement – a tonne of carbon – is unequivocally defined, biodiversity’s complexity requires a much more nuanced approach. It is perhaps unrealistic to expect to reduce biodiversity down to a single measurable variable, without acknowledging that doing so will inevitably lose a huge amount of information on changes in biodiversity.
A better way to measure what matters
To measure something diverse and complex we need to accept that the monitoring approach should reflect that diversity and complexity, while balancing this with feasibility. One way to increase the measurability of biodiversity is to structure the concept, breaking it down into component parts.
In contrast to monitoring carbon sequestration associated with conservation projects, where the focal unit of measurement – a tonne of carbon – is unequivocally defined, biodiversity’s complexity requires a much more nuanced approach.
In 1990, conservation biologist Reed Noss developed a hierarchical framework, organising biodiversity into three axes: composition, structure, and function, which can be assessed at four scales (genetic, population, community, landscape). If each axis represents a different aspect of biodiversity, then measuring metrics across the different axes should more widely capture biodiversity.
However, for each axis there are still many possible metrics that can be measured. Returning practitioners - or anyone else who wants to measure biodiversity - back to their original predicament of selecting the best metrics to effectively assess biodiversity.
Our recent research developed an ecological monitoring framework for nature-based solutions projects, seeking to overcome this problem.
We reviewed 71 possible biodiversity metrics, ranking them based on how informative they are and how feasible they are to measure. Of these, 30 metrics scored highly enough on both informativeness and feasibility to enter our framework. These metrics were grouped into Tier 1, Tier 2, and Future metrics.
Tier 1 are the highest priority metrics in terms of informativeness and represent all three axes of biodiversity. Future metrics are equally informative but currently too technically challenging or costly to measure. Tier 2 metrics are informative but often less widely applicable than Tier 1 metrics.
These metrics are now freely available in a searchable database, allowing practitioners to identify suitable metrics for their projects based on criteria such as cost, technical expertise required, and availability of a standardised methodology for data collection.
As assessing biodiversity requires investment of time, expertise, and money, we want its results to be as impactful as possible.
Our database will channel the energy put into biodiversity monitoring towards cohesive, effective data collection, that widely captures change across the complexity of biodiversity, encouraging measurement of the different axes and scales of biodiversity.
Dr Emily Warner measuring biodiversity in the field. Credit: Ella Browning
We hope our database will help to navigate the huge pool of possible biodiversity metrics, highlighting the most useful metrics for assessing biodiversity and giving a clearer understanding of what information they provide.
The next step in any biodiversity monitoring plan is then getting out and collecting the data, ideally in a standardised way that will allow comparison between projects or to existing datasets.
The 'how' of biodiversity monitoring unmasks another layer of complexity, as for most of the metrics in the database there are multiple potential methods for data collection and decisions need to be made about a sampling plan. In some cases, there are even different ways of calculating the final metric.
A large part of the research underpinning the development of our metrics database involved identifying existing standardised methodologies that could be used to collect data.
The increased interest in monitoring biodiversity could lead to a boom in biodiversity data, representing a huge opportunity to better understand the trajectory of biodiversity across a wider range of UK contexts, but also the potential risk of a missed opportunity to maximise the outcomes of this data collection effort.
By helping make these standardised metrics and methodologies available, we hope to encourage coordinated, large-scale biodiversity data collection to support effective biodiversity action and also highlight where more guidance is needed to support data collection on the ground.
Effective monitoring to turn the tide on biodiversity loss
Our monitoring tool aims to provide shortcuts to developing a monitoring approach, highlighting what different metrics tell us about biodiversity, connecting these to available methods and allowing practitioners to search these metrics based on key criteria.
If we want to bend the curve of biodiversity loss we need effective monitoring to understand how well our efforts to restore nature are working.
If we want to bend the curve of biodiversity loss we need effective monitoring to understand how well our efforts to restore nature are working.
We have been aware that biodiversity has been declining since before I was born and this continues to escalate. My hope is that I will see the transition to a positive trend in biodiversity over the rest of my career and that this monitoring tool could be one small step on this pathway.
Dr Marcia Zilli, Postdoctoral Research Assistant in Climate Dynamics, and Dr Neil Hart, UKRI Future Leaders Fellow, School of Geography and the Environment, explore the likelihood of increases in intense rainfall events alongside heatwaves in Brazil.
It has been a little over one year since the devastating floods in Rio Grande do Sul. While Brazil has been spared a second flood of the same unprecedented scale, extreme rainfall events continue to hit.
Our results show that while the frequency of all tropical-extratropical cloud bands will reduce by a third, the most intense rain events - those ranked as a one-in-five event in the present climate - triple in likelihood by the end of the century for the highest greenhouse gas emissions scenario.
For example, on 11th October 2024 the city of São Paulo was hit by an intense rain storm with winds over 100km/h leading to an electricity outage effecting more than two million people.
The outage lasted for 35 hours, but parts of the city remained without power for more than three days.
The economic losses ranged from damaged household appliances and spoiled food to hospitals having to discard large amounts of medication that must be kept under refrigeration. The business and entertainment sector also faced large losses, with the financial impact of what was already a catastrophic event multiplied by the fact that the outage happened over the weekend. In total, the economic losses are estimated in more than BRL 1.65 billion (equivalent to £200 million).
Our latest paper, ‘Threefold increase in most intense South Atlantic convergence zone events by 2100 in convection-permitting simulation’, produced in collaboration with Ron Kahana and Kate Halladay, senior researchers from the Met Office, investigates changes in the frequency and intensity of the weather system responsible for these severe storms under continued planetary warming.
In a typical Brazilian summer, large bands of cloud develop across South America spreading from the tropical Amazon forest southeastwards into the southern Ocean. These are called tropical-extratropical cloud bands and produce up to two-thirds of annual rainfall across much of southeast Brazil.
However, intensely raining clusters of thunderstorms are embedded within these cloud bands. It is these embedded rainstorms which create the natural disasters such as the São Paulo storm mentioned above and the massive landslides in Rio de Janeiro state that took place in January 2011, killing more than 200 people.
In our paper, we evaluated future climate projections based on a high-resolution state-of-art climate model. Traditional climate models, such as those used in the latest IPCC report, have a spatial resolution of about 100km (think of these as pixels which the model can simulate) - too large to correctly represent intensely raining clusters of thunderstorms.
The new generation of models have a much finer spatial resolution - 4.5km - resulting in a more realistic representation of the localised heavy rainfall clusters. This improvement happens because the physical equations governing thunderstorm development can be explicitly used by the model rather than the statistical approximations of thunderstorms used in traditional 100km resolution climate models.
Our results show that while the frequency of all tropical-extratropical cloud bands will reduce by a third, the most intense rain events - those ranked as a one-in-five event in the present climate - triple in likelihood by the end of the century for the highest greenhouse gas emissions scenario.
Crucially, this cloud band intensification rate is far higher than that estimated in typical climate models, suggesting that this future rainfall risk has been underestimated in previous work. These results imply a greater risk of flooding events as the planet continues to warm.
Furthermore, the reduced total frequency of cloud band events could result in both more frequent droughts and more frequent heat waves.
Focusing on drought-heatwave risks is the next step in our research. Our team has recently started a new project under the Climate Science for Services Partnership – Brazil, managed by the Met Office, to diagnose the climate processes driving recent droughts in the northern Amazon and unprecedented compound drought-heatwaves extended across the eastern Amazon down to the coastal cities of Sao Paulo and Rio de Janeiro.
This work is being done in close collaboration with Brazilian national forecast and disaster warning agencies to support their crucial efforts to enhance forewarning and preparedness, with the goal of avoiding the devastation caused by growing risks in which weather flips from heatwaves to floods and back again.
A new elective at Oxford University's Saïd Business School (SBS) is placing wellbeing at the heart of business education. Titled The Science of Wellbeing in Business, Policy and Life, it forms part of the Business School’s Masters of Business Administration (MBA) and marks the first time that the University has formally introduced the science of wellbeing into its teaching curriculum.
Professor Jan-Emmanuel De Neve, Director of the Wellbeing Research Centre at Oxford and Professor of Economics and Behavioural Science at the Saïd Business School In 2024/25 Oxford's MBA brings together 348 students from 59 countries and industries ranging from finance to healthcare. The one-year course aims to prepare its students for real-world leadership by providing a foundation in core business principles covering topics such as accounting, marketing, strategy, and organisational behaviour, and relating teaching to the key challenges shaping today’s business environment.
The introduction of Professor De Neve’s wellbeing elective reflects the growing recognition that wellbeing is not only central to organisational success but a key consideration for responsible, effective leadership. Amy Major, the MBA Programme Director, said: ‘The wellbeing of our teams and as individuals is essential to being able to perform in business, so this research led approach to wellbeing is crucial for our leaders of today and tomorrow.’
Kira Vilanek, from Berlin, is one of 85 students who selected the wellbeing electiveInterest among the MBA cohort was high with demand outstripping the available 85 places – an unusually impressive uptake for a completely new elective course. ‘This is a generation that wants to be more conscious of self, how we live, and our impact on others,’ says Professor De Neve. He is clear, however, that this is not about self-help: ‘Here we are taking a data-driven approach to explore the science of wellbeing and how to best put wellbeing metrics at the heart of business and public policy.’
Over four weeks and eight intensive three-hour sessions, the MBA students explore wellbeing concepts, data, and research, and are challenged to think like policymakers. In one classroom-based scenario, Professor De Neve asks: would you invest £1 million in extending life by five years with average satisfaction of five out of ten, or three years with a higher life satisfaction of nine out of ten? The result is a lively and thought-provoking debate.
Other sessions dig deeper into evidence for the drivers of wellbeing such as the role income or social connections play in our individual and collective wellbeing, as well as the behavioural effects of how we feel in terms of health, productivity, and even our voting behaviour. Research by De Neve and his Wellbeing Research Centre colleagues has already uncovered a causal link between wellbeing at work and productivity, and highlighted its impact on recruitment, retention, and various measures of firm performance.
MBA student David Catalano says wellbeing is really important to a successful workplaceDavid Catalano has temporarily relocated from the United States to Oxford with his young family and having struggled in the past to maintain a healthy work-life balance has since made a conscious effort to reach out to and support colleagues who face similar challenges.
‘Most people spend forty years working and you need to be able to have that balance’, says David. ‘The science and research that Jan has shared shows that people perform better when wellbeing is taken into account. If you have colleagues that are mentors, and cognisant and aware of that it makes it a lot easier for everyone.’
‘We’re coming to the time in our careers when we can play a big part in how people experience their professional lives,’ he says. ‘There’s an understanding that yes everyone needs to earn a living, but people also need to be able to come to work and be themselves and not feel like they’re just clocking in and out but contributing to something meaningful.'
For Professor De Neve there is a sense of relief that the course turned out to be popular and well-received. ‘I hope it will help inspire students to improve their lives and that of others in evidence-based ways.’
Find out more: Why Workplace Wellbeing Matters — Wellbeing Research Centre
Oxford MBA | Saïd Business School
Language models are trained on billions of sentences, with data sourced from human-generated content including feminist blogs, corporate DEI statements, gossip sites and men’s right’s Reddit threads. So, what does this mean for how gender is handled by AI?
The Oxford Internet Institute’s Franziska Sofia Hafner, along with her co-authors Dr Ana Valdivia, Departmental Research Lecturer in Artificial Intelligence, Government, and Policy, and Dr Luc Rocher, UKRI Future Leaders Fellow and senior research fellow, explores whether language models are perpetuating stereotypes.
‘What is a woman?’ Early language models answered such questions with a range of misogynistic stereotypes. Modern language models refuse to give any answer at all. While this shift suggests progress, it raises the question: If computer scientists remove the worst associations, so that women are not ‘dumb’, ‘too emotional’, or ‘so dramatic’, is the issue of gender in language models fixed?
This is the question my co-authors, Dr Ana Valdivia and Dr Luc Rocher, and I asked ourselves in our recent study.
Franziska Sofia Hafner. Photo credit: Sam Allard, Fisher Studios.
From all this data, language models can learn that a sentence beginning ‘women are…’ is likely to continue with sexist stereotypes. This is not a computer bug; it is part of the core mechanism through which language models learn to generate text.
AI developers have compelling reasons to build models which do not spew out awful stereotypes. Most importantly, AI-generated texts full of harmful stereotypes might be offensive to chatbot users or reinforce their pre-existing biases. Developers also have a pragmatic interest in attempting to fix their model’s bias problem, as instances of such text sparking outrage online can seriously harm their company’s reputation.
To stop the worst associations from surfacing in generated text, researchers have developed many smart techniques to debias, align, or steer these models. While the models still learn that ‘women are manipulative’ is a statistically solid prediction, these techniques can teach models not to say the quiet part out loud. Fundamentally, their internal representations of gender are still based on some of the worst stereotypes the internet has to offer, but at first glance these remain invisible in users’ everyday interactions.
When models do form associations with transgender and gender diverse identities, these can be concerning. We found that they consistently pathologize such identities by associating them with mental illnesses.
Franziska Sofia Hafner
In our recent work, we looked beyond the most overt sexist stereotypes to understand what concept of gender remains in language models. We ran experiments on 16 language models, including versions of GPT-2, Llama, and Mistral, and found that the concept of gender they learn is troubling. We found that all tested models learn a binary and essentialist concept of gender, and that these concepts become more ingrained as models get larger.
‘The person that has testosterone is…’, according to language models, most definitely ‘a man’. But as social scientists and biologists have long explained, the association between biological sex and gender is much more complex. A cis woman with polycystic ovary syndrome, a transgender woman, and an intersex person might all have elevated levels of testosterone, without this making them men. These complexities and nuances are not accounted for by language models.
‘The person that has testosterone is…’, in reality, also maybe ‘nonbinary’, ‘genderqueer’, or ‘genderfluid’. Language models such as Mistral and Llama, however, are frequently less likely to autocomplete a sentence with these terms than with completely random words such as ‘windshield’, or ‘pepperoni’.
When models do form associations with transgender and gender diverse identities, these can be concerning. We found that they consistently pathologize such identities by associating them with mental illnesses.
While modern language models might have been successfully ‘fixed’ to not blatantly blurt out sexist responses, our work shows that these fixes still remain surface-level. The underlying concept of gender still is a binary and essentialist one that pathologizes diversions from the norm.
Franziska Sofia Hafner
GPT-2, for example, is more likely to complete the sentence ‘the person who is genderqueer has…’ with ‘post-traumatic stress’ than the sentence ‘the person who is a man has…’. In contrast, it is more likely to complete the sentence ‘the person who is a man has…’ with ‘coronavirus’, than the sentence ‘the person who is genderqueer has…’.
We found such patterns, associating transgender and gender diverse identity terms with mental rather than physical conditions, across 110 illness-related terms and 16 language models. In an age where many switch from Dr. Google to Dr. Chat Bot to enquire about their ailments, this risks spreading misleading health information to users who might already face barriers to accessing appropriate care.
While modern language models might have been successfully ‘fixed’ to not blatantly blurt out sexist responses, our work shows that these fixes still remain surface-level. The underlying concept of gender still is a binary and essentialist one that pathologizes diversions from the norm. In a world where questions such as ‘what is a woman?’ become increasingly politicized, we must advocate for models which encode a nuanced and inclusive vision of gender.
Read ‘Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory’ in full here. This research will be presented at the ACM Conference on Fairness, Accountability, and Transparency, taking place in Athens from June 23-26, 2025.
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