It isn’t enough to point shoppers to the apples to change the nation’s food habits

Last week, the government set out proposals to use ‘nudges’ as part of a preventative health strategy to encourage healthy eating. At DG Cities, our Behavioural Innovation practice also draws on behavioural science to tackle council challenges, from fly tipping to active travel, in collaboration with local communities. Explaining the value of a more systems-based approach to behavioural science in public policy, Director of Research & Insights, Ed Houghton examines the latest plans.

At first glance, the government’s latest proposal to encourage healthier eating habits through ‘nudges’ sounds sensible. Ministers are suggesting supermarkets promote fruit and veg through loyalty points, in-store promotions and by improving aisle and display layouts.

Helping people eat more healthily is a vital policy goal and behavioural science has much to offer in terms of finding new, effective solutions. The problem is, this idea isn’t new, or particularly effective on its own – and in many ways it could do more harm than good to the government’s aspirations for an NHS fit for the future. 

We all want to be healthier… don’t we?

Healthy communities and neighbourhoods are all part of the Government’s drive to set the foundation for a reformed NHS. It’s about taking health out into communities, and enabling other parts of the system – like supermarkets and schools – to play a role in public health, which is a sound strategy to move us towards a more preventative approach to medicine. It’s an idea that’s clearly having its time in the sun too: the NHS 2019 long-term plan prioritised integrated care and population health management, but the recent call for a “neighbourhood health service” represents an even greater gear change.

However… the problem with nudges is that they put the onus on individual choice and assume eating your five a day is just a matter of individual willpower or better information (rather than acknowledging the structural and social barriers that shape people's choices).  

Our work with public health teams and the NHS has highlighted how access to affordable, nutritious food isn’t simply about the visibility of healthy options. Lower-income families are often confronted with difficult trade-offs between cost and nutritional value – “choosing” between a 99p ready meal and a £3 punnet of blueberries is not about motivation or information, but rather cost, transport, time and the availability of fresh food close to where you live.

In this context, small nudges at the point of sale may help in the short term, but they’re unlikely to deliver the sustained dietary improvements that policy-makers hope to achieve. Evidence supports this: tactics like product placement and loyalty rewards can modestly increase the purchase of healthier items, yet these changes rarely lead to long-term shifts in diet quality or health outcomes. A bit like going to the gym – there simply aren’t short-term fixes.

 In our view, we need an approach that works across different systems, that combines behaviourally-informed initiatives with policies that address barriers to preventative medicine. For example, subsidies for fresh food, particularly in lower-income areas, could ease pressure on shoppers and retailers. Crucially, these kinds of interventions can improve access without harming viability for businesses – an important consideration if implementation is left to supermarkets themselves.

It takes a village…

Systemic approaches rely on collaboration between institutions, communities and individuals. There are lots of ways councils can help, from operational support for local produce markets to convening networks, and improving planning policy. Last year’s reforms to the National Planning Policy Framework were designed to support healthier eating by encouraging local authorities to consider health and wellbeing in planning decisions. This can mean supporting access to healthier food outlets and restricting the concentration of fast-food takeaways, particularly near schools.

We also see great potential in locally-driven, community-led food initiatives, like neighbourhood food hubs or cooking classes. In Greenwich, Food On Our Doorstep (FOOD) clubs provide good-quality food at a low cost to local communities, in partnership between the council and Family Action. A free cooking club in Thamesmead helps residents find ways to use produce. Another voluntary scheme for food businesses by Greenwich Cooperative Development Agency helps fast food outlets or cafés make simple and affordable changes.

Similarly, the Heal-D programme, founded in 2016 by Prof Louise Goff of the University of Leicester, aims to target type 2 diabetes in black African and Caribbean adults by sharing knowledge on how to cook popular dishes in more healthy ways. Evidence shows that these methods are more powerful because they’re built with the people they’re intended to support. These kinds of initiatives respect people’s autonomy and choice, build trust and reflect the realities of the way we all live. Models such as ‘boosts’ and ‘self-nudges’, which help individuals develop long-term skills and strategies, offer promising alternatives to top-down loyalty schemes.

 

Rethinking blame

Just as important is the way we talk about food. Public messaging that emphasises ‘better’ choices can unintentionally put the blame on individuals, when in fact many supposedly ‘poor’ food decisions are rational responses to systemic barriers like time poverty or a lack of affordable options. Framing food as a collective issue can help to shift the narrative from personal responsibility to what can be done as a community. And in a changing climate this will only become more important as the food system is increasingly fraught by disruption and instability: producers, distributors and wholesalers will all need to work more closely to help ensure healthy food is our plates.

This means being more thoughtful about how we define ‘healthy’ food too. Oversimplified labels, like apple = good, crisps = bad don’t always reflect the complexities of nutrition and can alienate people with diverse needs, including those with eating disorders. A balanced diet looks different for everyone, and we should support a broader understanding of nutrition, grounded in evidence.

We think there’s huge potential in more systemic approaches to policy design and intervention delivery that can help people make more informed decisions. Delivered effectively, they can help change systems and make a long-term difference to people’s lives. By working across sectors, listening to and acting on community needs and focusing on access and affordability as much as choice, we can design food environments that genuinely support health and wellbeing for all.


If you’re interested to find out more about our Behavioural Innovation work, read on here - or if you’re a council team, why not request one of our great free workshops for more specific insights. 



Housing 2025: ‘place’, data and devolution

This week, some of the DG Cities team is in Manchester for Housing 2025, one of the biggest events in the UK’s housing calendar. If you're attending and haven’t found us yet, come and see our data wall and asset management demo in the exhibition hall. Head of Communications, Sarah Simpkin, fresh from sticking up 1,200 post-it notes, writes about some of the highlights so far.

What happens when you get what you want?

That was the question facing a room full of council leaders, housing associations, trusts and house-builders, who had just landed a £39 billion ten-year affordable housing investment in the government’s spending review. It’s fair to say that the mood was pretty upbeat.

Let’s not be too hasty though… any optimism was tempered by caution. In the first panel I caught on new construction, a key question was whether the ambition to deliver 1.5 million new homes, accelerating to 300,000 per year, might then compromise build and design quality or environmental standards. The conversation also turned to scaling the infrastructure needed to support such rapid growth, from schools, GPs and transport to high streets - and even two new reservoirs to sustain development, in the case of Cambridgeshire.

A lot of talk was of planning, sites and building at scale, but our arrival in Manchester was overshadowed by a huge fire in the former Hotspur Press, destroying one of the city’s early mills, which had been due for redevelopment as a tower for student accommodation. With the smoke visible across the city, and surrounded by Manchester’s many former industrial to residential conversions, it sharpened the focus on the need for reuse too, as well as social housing retrofit, and the value of strategies to better prioritise repairs and improvement.

Collaboration: the week’s defining theme 

Mayoral question time

One standout event was Mayoral Question Time, chaired by Guardian journalist Gaby Hinsliff, which brought together a cross-party group of new and established mayors from across the North and Midlands. The session emphasised the value of peer-led networks and the importance of collective influence to unlock devolved powers. “Is there a mayoral WhatsApp group?” someone asked. There is, it turns out. “Wait, there is?” came the surprised reply from one panellist, which got a laugh. 

Their message was that mayors are uniquely positioned to cut through departmental silos to enable integrated approaches that respond to local needs. Richard Parker, Mayor of the West Midlands Combined Authority, highlighted an example from Solihull, where to expand access to jobs, they identified a need to better align the bus timetable with shift patterns.

At the same time, criticism was levelled at the government’s Green Book methodology for evaluating funding. The approach was seen as poorly suited to rural and less populous regions. As Kim McGuinness, Mayor of the North East Combined Authority, bluntly put it: “Rip the thing up.”

Other panels covered issues around safety, accessibility, the impact of regulation and tackling damp and mould. Shaun Flook, Assistant Director for Housing Needs and Tenancy at the Royal Borough of Greenwich, contributed to an important session on temporary housing and the importance of investment in homelessness prevention. In a similar model of cross-boundary collaboration, the London Councils’ Housing Directors group met to discuss some of the distinct housing pressures faced by boroughs.

Place-based solutions

A session with Eamonn Boylan, Chief Executive of Homes England, echoed the wider call for individual approaches to housing, recognising that what works in Tower Hamlets may not work in Tyneside. Several times, the panel emphasised the need for ‘place-based’ solutions, which seemed very much the mot du jour. It makes you wonder a little if anyone is advocating for the alternative - presumably inappropriate top-down housing policy with no consideration of local needs or supporting services.

It's fair to say that all deeply agree on the need for local nuance, but the challenge is delivering nuance at scale and pace. Understanding what makes an area unique, capturing residents’ views beyond tick-box questionnaires, mapping complex interconnected systems – this is where data (and potentially AI) comes in. From tree plotting surveys to customer payment platforms, data is becoming central to how councils understand local circumstances and make strategic investments.

Rasheed Sokunbi and Balazs Csuvar on the stand in Manchester

DG Cities’ presence at Housing UK is rooted in this very challenge: helping councils make sense of data and translate its insights into action. These services are designed with and for local government teams, enabling smarter prioritisation of works, planning and investment at the local level. It’s interesting to note that although the team happens to be at the Housing conference with a housing tool, it’s a flexible methodology designed to work across council sectors.

By a council-founded innovation consultancy, for local (and often central) government

The exhibition floor has been busy with product showcases, with dancing gorillas outside, various raffles and mini golf, but there have been useful discussions around resident engagement and data-driven decision-making. Perhaps the most interesting feedback from visitors has been the response to DG Cities as an innovation consultancy set up by a council - not something a lot of people realised. It was great to be able to show the value of an independent innovation lab to other councils looking to trial affordable, effective tech-enabled or behavioural solutions.

As the first day wound down, a final session on pet-friendly housing reminded us of the breadth of issues that matter to residents. It highlighted the need to challenge the expected narratives with actual data - for example, tenant pet ownership has been shown to correlate with less demand for repairs to properties, not more. I was intrigued by the range of pets (dogs, yes, but also chickens…) and in a wider sense, how it showed the broad, inclusive thinking needed to build homes that will truly work for everyone.

It’s not over yet!

There’s still much to look forward to in the programme, in particular a panel at 11 am on Thursday featuring Jamie Carswell, Director of Housing and Safer Communities at the Royal Borough of Greenwich. The panel, chaired by Pete Apps, will be bringing some of these data, social and technical themes together to look at improving housing management. Find out more, and details of where to find us, here. 

Housing 2025: our predictions

DG Cities is looking forward to exhibiting at and attending Housing 2025 in Manchester next week. With a packed programme and a range of pressing issues on the agenda, there’s plenty to engage with. Here are some of the themes we expect to cover, our ‘don’t miss’ panel and some tips on navigating the event from our behavioural science experts…

Against the backdrop of the government’s Spending Review, which includes a pledge of £39 billion over ten years for social and affordable housing, and Labour’s ambition to deliver 1.5 million new homes, we anticipate significant discussion to be focused on how local authorities can turn policy into delivery. The role of data and AI in enabling this – in a way that is ethical, effective and resident-focused – will likely be a big conversation.

We know that delivery isn't just about volume and planning. We're expecting wider discussion around how councils can manage and improve existing housing stock. One area we expect a lot of interest is data-driven asset stewardship: using insights from repairs, EPCs, in-home sensors and AI – as explored in our Home by Home plan – to take a more proactive approach to stock maintenance.

With that in mind, one session we’ve underlined in our diaries is the panel at 11am on Thursday, which brings together private and public sector experts. It features Jamie Carswell (Director of Housing and Safer Communities at the Royal Borough of Greenwich), journalist Pete Apps, Tom Robins of Switchee, and Hyde’s Anjali Manoj Kumar. Their discussion is set to focus on the opportunities of tech solutions, the challenges of fragmented IT systems, siloed budgets and what it takes to implement a more holistic, resident-first strategy.

We expect digital inclusion and ethical innovation to be discussed – not as ends in themselves, but as essential tools to build trust and deliver real value to residents. As always with our work, the goal isn't flashy new tech, but tangible impact.

What would your residents want to see there? Build rates, while critical, are only one part of the picture - we’re there for the retrofit and everyday repairs.

Equally pressing are issues like damp, decarbonisation and long-term investment in existing stock. It’s here that the Spending Review’s potential must be fully realised – not just through capital spend, but by enabling local authorities to scale practical, ethical, people-led innovation.

Other likely focal points include the role of planning, new initiatives like Andy Burnham’s Good Landlord Charter and the challenge of aligning local strategies with central funding mechanisms. Across affordability, homelessness, planning and retrofit, we expect one question to surface repeatedly: how do we ensure this once-in-a-generation investment actually works?

We believe one part of the answer lies in embedding data systems and resident-centred innovation within council delivery frameworks. In turning the data we have into action. To show our approach in practice, DG Cities will also have a stand in the exhibition space, so we’d love to see you there. Full event details can be found here.

Best conference behaviour

We also know from experience that conferences of this scale can be overwhelming. To help navigate the event, we asked our Behavioural Innovation team for some insights from psychology that might support delegates and exhibitors alike.

Lara Suraci

As Dr Lara Suraci, our expert in behavioural science, explains: “Often, the myriad of choices – of which talks to attend, whom to talk to, what questions to ask – can lead us to fall into so-called epistemic bubbles: environments that expose us only to ideas that already align with our own knowledge or beliefs.”

“Add to that the pull of social proof and the subtle influence of consensus cues: we tend to assume crowded sessions or well-known speakers must be the best use of our time, and we mistake certain social signals, like nodding heads or silence, for collective agreement within the audience – all of which makes it harder to think independently, and to challenge our own ideas as well as those of others.”

“It’s also worth bearing in mind that speakers at conferences, as well as audience members interacting with them, often attend as representatives of their companies or ideas, with the ultimate goal of promoting these in some way. There’s nothing wrong with that, of course, but it can lead some to overfocus on signalling intelligence or domain expertise, rather than imparting factual knowledge or encouraging an exchange of diverse perspectives.”

Her advice for getting the most from the week?

“Watch out for these patterns of behaviour in yourself and others, and try to break them: go to a session that sounds unfamiliar, engage with someone outside your usual network, and don’t hesitate to ask challenging questions!”

See you in Manchester!

Using the AI Readiness Index: a guide to our guide...

Last month, we released our openly accessible resource comparing different AI techniques, the AI Readiness Index. We produced this to demystify some of the language around emerging tools, go beyond the hype and explain what particular approaches can and can’t do for local authorities. For this short piece Innovation Consultant, Nima Karshenas explains where to start and how to get the most out of it.

We recently rolled out our AI Readiness ranking for Local Authorities – your live window into the ever-evolving world of AI. This isn't just a static report, but a dynamic resource crafted to reveal how AI can truly transform local authority operations. Whether you're a council team looking to innovate or an AI developer building cutting-edge solutions, this ranking is your essential guide to understanding local government needs and how AI can meet them head-on.

There’s a wealth of insights waiting for you on our site, but with such a comprehensive analysis, it can be tough to pinpoint exactly what matters most to you. That's why we've created this user guide – to quickly show you how to navigate our platform and unlock all the relevant information for your goals.

Homepage: ai.dgcities.com

Your journey starts here: homepage

When you first land on our site, you'll be greeted by a brief introduction to the AI Readiness Ranking. Scroll down a bit, and you'll find all the essential context you need to understand the analysis. But the real heart of our ranking lives on the leaderboard page. You can easily find it by clicking "AI Readiness Ranking" in the navigation bar at the very top of your screen.

AI Readiness Ranking

On this page, you'll discover each AI technique we've analysed, ranked by its ‘readiness’. But what exactly does ‘ready’ mean? We've meticulously assessed each technique based on two crucial dimensions: ‘Feasibility’ and ‘Impact’. A technique is truly ready for local authorities only when it excels in both areas – one without the other simply isn't enough.

Technique Pages

We currently feature three key AI techniques, and each one has its own dedicated page with a detailed analysis of its readiness within the local authority context. You can find them using them using the navbar at the top, or just clicking the avatars on the ranking page.

For AI Developers: This is your goldmine. Find the technique that aligns with your product and dive straight into the ‘Impact Analysis’ section. Here, you'll gain invaluable insights into the specific needs of teams in Social Housing, Planning, Transport, Public Health, and Social Care. Discover exactly how your AI product can step in and address these critical challenges.

For Council Teams: Every technique we've highlighted is relevant and important for you to understand. The ‘Summary’ and ‘Feasibility’ sections are a must-read for all teams. Then, head over to the ‘Impact’ section. We've broken it down by relevant team, so you can easily find how AI can genuinely transform your specific functions and operations.

The site also explains the concept of behavioural readiness and touches on some of the behavioural barriers to AI tools within an organisation, such as technology aversion, preferences for the status quo, a lack of time or confidence.

“The goal of this ranking is to go beyond the headlines and generic statements like "AI can do this and that" and instead introduce at a practical level how the underlying technologies are designed to work and therefore what their potentials or limitations are for local authority use cases. It’s an independent assessment – DG Cities does not develop any of the AI tools, we provide innovation services for local authorities ensuring innovation can lead to a tangible positive impact in the communities.”


DG Cities runs dedicated workshops for council teams that focus on AI tools, procurement and use cases, as well as attitudes and behaviours related to emerging technology. If you’d like to organise one for your team, get in touch.


Free workshop: unlocking AI in local government

To support the launch of our AI Index - a tool to help councils procure new tech and services, and better understand the technology, its practical and ethical considerations - we are offering a free 1-hour online workshop.

In it, we’ll walk you through:
✅ The importance of data-driven decision-making in local government
✅ What AI actually is, from machine learning to language models
✅ Prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning models
✅ Use cases for AI in social housing, transport, public health and planning
✅ Key questions to ask suppliers when procuring AI solutions
✅ How to assess your organisation’s behavioural readiness for AI adoption
✅ Ethical considerations every council should be thinking about.

When? 3rd June 2025 - 11am-12pm

Where? Online.

Sign up here: https://www.eventbrite.co.uk/e/unlock-ai-in-local-government-a-free-dg-cities-workshop-tickets-1363515093349?aff=oddtdtcreator


Explore our AI Readiness Index to better understand some of the tools in the market…

AI in Local Government: it's a step change, not just digitisation

As DG Cities launches its independent analysis tool, the AI Index, Director of Innovation & Net Zero, Balazs Csuvar discusses why thinking of AI in terms of digitisation doesn’t account for the technology’s wider, transformative impact. Rather than seeing it as another system for IT to manage or a job to outsource, local authorities can harness its potential to deliver a step change in service delivery, while mindful of its ethical use and risks.

Artificial Intelligence (AI) is rapidly transforming government services. Central government agencies are moving forward with AI adoption, streamlining operations and improving service delivery. Local authorities, though more fragmented and resource-constrained, are also beginning to implement AI-driven solutions. According to recent County Spotlight and LGA reports, nine out of ten councils now use AI in some capacity.

However, much of the current experience of using AI and guidance for local authorities focuses on fitting it into existing systems. Many councils now use AI tools like Copilot and ChatGPT to enhance internal processes, often for tasks like document drafting. This form of digitisation is useful and may be encouraged, but it represents only a fraction of AI’s true potential.

Improving internal minute-taking is great, but it’s not what will move the needle in local authority productivity improvements. Instead, local authorities should consider AI as part of a broader step change in service delivery, prompting fundamental questions:

  1. What have we always wanted to do but lacked the capability?

  2. Can we move beyond basic services and deliver truly personalised interactions?

  3. What current practices no longer make sense in tomorrow’s AI-driven world?

What have we always wanted to do but lacked the capability to achieve?

One of the true powers of early implementation of AI lies in structuring previously unstructured data. Councils hold a lot of insights about their area, businesses and residents, but the data is often unstructured, text based and not coordinated. 

AI can offer tools to make sense of such datasets and bring them to life in the form of decision-making tools based on the know-your-customer principles. This more in-depth knowledge enables councils to proactively identify and resolve issues, improving efficiency and responsiveness. Examples include the review of historic social housing repair documentation, public consultations and complaint oversight.


Can we move beyond basic services and deliver truly personalised interactions?

AI also offers a paradigm shift in citizen engagement. AI works well both with speech and text, so has the potential to move between languages and translate. Councils can now communicate with individuals in their preferred language, using insights drawn from previous interactions to create personalised experiences.

We know that engaging with communities where English is not a first or preferred language of communication can be a major difficulty (for 8% of people in England, English is not the main language - 4.2million. 1 million residents don’t speak English well). Reaching such communities can be a real challenge, often resulting in poorer than expected health and employment outcomes. 

By using AI-based translation services, communications can foster trust and ensure that local government is more approachable and relevant to all citizens.

What current practices no longer make sense in tomorrow’s AI-driven world?

Looking ahead, AI could enable councils to integrate with personal AI assistants that residents may increasingly rely on. From early learning to elderly care, these digital aides could provide tailored support, reducing strain on local services while enhancing people’s wellbeing. Building proprietary apps and tools might become unnecessary as people shift their knowledge consumption to holistic platforms. 

It can also help councils rethink the traditional way of collecting data. Over the last decades, the main source of data collection has been surveys (either filled out online, paper based, or at the door). Multiple choice survey questions are done in such a way because it makes the data easy to analyse in Excel.

Now that we can use AI to summarise and categorise long-form text data, we could gather more nuanced, richer insights and communicate with our residents in completely different ways. Making sense of a resident’s voice note is now easy and might actually be more entertaining for people. In a healthcare setting, patients could describe how they feel rather than go through impersonal checklists. 

Organisational management 

What does this mean for council staff? Rather than simply cutting jobs, AI presents an opportunity to reimagine roles, allowing employees to focus on high-value tasks that require human judgment and empathy. Councils could automate routine communications, facilitate remote system operations, and even streamline the planning of cultural events.

The key to effective AI adoption in local government is starting small and moving quickly. Councils can experiment with AI-driven communication, citizen engagement, and service automation. By rethinking not just how they operate, but what they aim to achieve, local authorities can ensure AI serves as a transformative force rather than just another cost-cutting tool.

But the holistic nature of the change also suggests that “AI” is not something for, say, the IT team or a specific person to “do”. It is an opportunity space for the whole council leadership to consider as an aspect of all emerging strategies, by asking the three questions we have outlined above. 

DG Cities’ AI Index

In order to do the questioning, people need to understand in a bit more detail what AI is. It is not a static software, it is a collection of computational techniques, all with their pros and cons, ready to be used in the right circumstances. 

Going with a football analogy, if we consider AI to be a football player, it doesn’t actually help us determine where on the pitch they’ll play. On the pitch, physical characteristics, years of experience and training determine if someone is a better striker or goalkeeper. AI is somewhat similar: there are techniques for specific scenarios, ones that underpin all future AI-based products and services that will be available for local authorities.

DG Cities has put together a free and independent AI Readiness Ranking to help councils understand how the techniques rank against one another, and their key strengths and weaknesses. The explanations provide a detailed overview of how these techniques work and their specific applications for local authorities. They are tailored for decision-makers responsible for strategy and procurement in the coming year.

We have created this tool as an accessible and essential resource to help guide our council colleagues - now it’s over to you. Get in touch to let us know your views and experiences of AI, and to find out how we help local authorities navigate the complexities of emerging technologies in a way that benefits their residents and council teams.

Beyond carrots and sticks: designing incentives to drive lasting behaviour change

In our free workshops for council teams looking to explore how behavioural innovation can help to bring about the change they want to see in their areas, one aspect we look at is the use of incentives. For our latest blog, Behavioural Scientist, Lara Suraci shares her best practice principles (and pitfalls to watch out for) when it comes to understanding what motivates people to engage in a trial or adapt the way they shop, recycle, travel or use council services.

Designing effective behavioural interventions is both an art and a science: human behaviour is complex and notoriously difficult to predict, let alone alter. For local authorities, the challenge is even greater due to tight budgets, regulatory limitations, and public scrutiny. Unlike the private sector, large-scale trials and generous reward schemes are rarely, if ever, on the table – not to mention the risk of eroding public trust if an intervention is perceived as patronising or unfair. 

Balancing impact, cost-effectiveness and fairness, while staying within the bounds of regulation, is certainly no easy feat. However, local authorities don’t just face unique challenges – they also have unique opportunities to enact real, lasting change in local communities and beyond, and the toolkit for behavioural interventions is richer than often assumed.

Choosing the right incentive structure is critical for the success of an intervention. While this isn’t a complete guide to incentive design, the following five principles offer a solid foundation for crafting incentives that stick, whether you’re starting from scratch or tweaking an existing intervention.

 

 

Think beyond money: When we think of incentives, the first thing that comes to mind is often cash or a voucher. However, monetary incentives are sometimes neither feasible nor the most promising option: social incentives like reputational gains, reciprocity, recognition, or a sense of community can be just as powerful. 

Numerous studies show that people care about their self-image as well as how others perceive them; appealing to these concerns can thus increase adherence to societal norms such as regular handwashing or correct waste disposal, as well as motivate prosocial actions like blood donations or reducing energy consumption.

Research on reciprocity further suggests that people are more likely to help out others when they have been helped themselves – successful examples of this include time-banking schemes or rent discounts for community contributions in social housing.

 

Focus on fairness: It's essential to distinguish between equality and equity, and to carefully consider their implications for the fairness of an intervention. While it's often instinctive to aim for equality – that is, offering the same incentive to everyone – this approach can unintentionally produce inequitable outcomes.

If an incentive is more attractive or the desired behaviour change is more accessible to those who are already advantaged, we may end up inadvertently widening existing disparities. Instead, we should prioritise equity in outcomes, which may mean tailoring incentives to the needs of different groups. 

We can further enhance fairness by actively encouraging co-design practices: by working with communities to shape what incentives are meaningful to them, we limit the risk of incorrect assumptions, increase legitimacy, and build trust.

 

Time it right: Behavioural science shows us that when an intervention is delivered can be just as important as what it offers: in other words, timing matters. Incentives are far more effective when they are immediate, visible, and personally relevant.

When access to a reward is delayed or involves friction – such as long waits or having to fill out complex forms – the perceived link between action and outcome weakens, reducing the likelihood of sustained behaviour change. Likewise, certain times of year like the New Year, the start of spring, as well as personally meaningful dates such as birthdays can serve as a fresh start: these periods are associated with increased openness to change and can therefore enhance the effectiveness of incentives.

 
 

Beware backfires: Unfortunately, poorly designed incentives can do more than just fall flat: they can actively backfire. Incentives might unintentionally undermine intrinsic motivation, encourage people to game the system or shift the focus from long-term goals to short-term wins. 

Take ‘moral licensing’ – a phenomenon in which good behaviour in one context is used to justify bad behaviour in another. This can happen when interventions highlight average behaviour in their appeal for change; for instance, residents who find out that their energy usage is below the community average might feel entitled to continue driving to work rather than consider taking their bike because they feel as though they have already done their part.

That’s why it’s essential to carefully trial and refine your design before going live. Piloting an intervention with a small group, looking for potential loopholes, and seeking feedback from key groups can help uncover unintended consequences early on and ensure that our incentive structure actively promotes the right behaviours.

 

Test and tweak: The best interventions are dynamic. Circumstances, behaviours, and communities change – and so should our incentives. Economic pressures, social norms, and even how people perceive fairness can evolve over time, meaning a previously effective approach might start to miss the mark or feel out of touch. 

Establishing a culture of testing, learning, and adjusting is essential for long-term, sustainable behaviour change. Building in mechanisms for regular feedback and iteration helps ensure that interventions stay relevant, responsive, and impactful as the world around them continues to change.

 

Ultimately, effective incentivisation is a tricky business and these five principles won’t solve every challenge. They do, however, offer a pragmatic, evidence-based foundation for driving lasting change through interventions that centre fairness while keeping behavioural realities in mind. 

If you’re keen to learn more about DG Cities’ behavioural innovation approach to improving public service delivery, we offer a free 90-minute tailored workshop for public sector teams – sign up here!


Further Reading

Handbooks & Toolkits
Behavioural Insights Team. (2014). EAST: Four simple ways to apply behavioural insights.

Organisation for Economic Co-operation and Development (OECD). (2017). Tools and ethics for applied behavioural insights. OECD Publishing.

Cabinet Office & Behavioural Insights Team. (2010). MINDSPACE: Influencing behaviour through public policy. The Behavioural Insights Team.

Academic Publications
Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annu. Rev. Psychol., 55(1), 591-621.

Merritt, A. C., Effron, D. A., & Monin, B. (2010). Moral self‐licensing: When being good frees us to be bad. Social and personality psychology compass, 4(5), 344-357.

Truelove, H. B., Carrico, A. R., Weber, E. U., Raimi, K. T., & Vandenbergh, M. P. (2014). Positive and negative spillover of pro-environmental behavior: an integrative review and theoretical framework. Global Environmental Change, 29, 127-138.

Sunstein, C. R. (2016). The ethics of influence: Government in the age of behavioral science. Cambridge University Press.

DellaVigna, S., & Pope, D. (2018). What motivates effort? Evidence and expert forecasts. The Review of Economic Studies, 85(2), 1029-1069.

Safety drives public support of automated vehicles

As we release the latest DeepSafe research findings into public perception of automated vehicles, Behavioural Scientist, Lara Suraci explores some of the insights behind the data. What did our results tell us about the public’s understanding of road safety - and how might this inform messaging when it comes to advancing automated vehicles on UK roads?

Automated vehicles (AVs) promise more efficient travel, reduced emissions and greater accessibility for all, but what role does safety play in shaping public acceptance?

Let’s put AVs to the side for the moment and talk about road safety in the UK as it stands. In 2023, the Department for Transport puts the number of people who were killed or seriously injured (KSIs) on UK roads at a sobering 29,711, with vulnerable road users such as pedestrians, cyclists, and motorcyclists disproportionately affected.

A major contributing factor in these incidents is human error: it is estimated that 88% of road traffic accidents in the UK are caused by human error, including behaviours like speeding, distraction from mobile phones, running red lights or failing to give way.

In light of these numbers, it may come as a surprise that a survey study DG Cities conducted in December 2024 indicates that many do not consider improving road safety a priority: when we asked a representative sample of 1,000 UK respondents to select their top two priorities for the UK transport system, only 37% chose road safety; a low proportion compared to the 53% who chose affordability and the 46% who chose nationwide equality.

One possible reason for this is that the above statistics are not, in fact, common knowledge: when asked to guess the number of KSIs on UK roads in 2023, a staggering 92% of our sample reported an estimate below the official figure and the average estimate only came to 11,402 – less than half of the official figure. In other words, road safety may not be at the forefront of public concern because, quite simply, many are not aware of the scale of the problem.

How does this compare to safety expectations of AVs?

In 2024, the UK Government established the following safety benchmark for AVs: in order to be allowed to operate on UK roads, AVs should achieve an equivalent level of safety to a ‘competent and careful human driver’. Aside from the inherent ambiguity of this concept, our research suggests that public support will require AVs to not only meet but exceed this benchmark.

Presented with an AV that is slightly less safe than a competent and careful human driver, a negligible 3.7% of our respondents indicated their willingness to use it; however, once the AV in question is as safe as a competent and careful human driver or slightly safer, this proportion jumps to 36.8% and 56.5%, respectively. Only once the AV is much safer than a competent and careful human driver do 3 out of 4 respondents report their willingness to use it.

Similarly, a second survey study from February 2025 revealed that the proportion of respondents who would support the widespread introduction of AVs on UK roads almost doubles when AVs promise a 10% reduction in the number of KSIs compared to no change – so safety gains over human drivers are not only a prerequisite for acceptance, but also an effective tool to boost public support of AVs.

Relative Safety Expectations of AVs

How can we reconcile this deprioritisation of road safety in the general transport system with the fixation on high safety standards for AVs?

In addition to misconceptions about the current state of road safety in the UK, safety as a baseline requirement may be overlooked in everyday considerations of the transport system, but shift into focus when a disruption to the status quo – such as the introduction of AVs – is debated. Ensuring adherence to high safety standards in human drivers may also feel like a complex and unattainable goal due to the involvement of unpredictable factors like individual preferences and behaviour. Machines like AVs, on the other hand, which can be programmed to follow set rules, may offer a clearer path to safety – and thus trigger much higher expectations thereof.

But perhaps the most important question to consider is not why this discrepancy exists but how we can leverage it to foster public support for AVs and, ultimately, harness their potential for increased road safety.

While safety gains over human drivers are often cited as a key selling point for AVs – and seem to be effective in boosting public AV support – this argument may not be as powerful as it could be if the public continues to underestimate how unsafe UK roads are. In fact, the perception that road safety is not as critical a concern as statistical evidence suggests might lead to less urgency in the adoption of AVs.

Understanding and leveraging this knowledge gap could therefore play a pivotal role in advancing public support for AVs. It presents a crucial opportunity for public education and awareness campaigns that address misconceptions regarding the current state of road safety in the UK and contextualise it with regard to the true potential of AVs to make our roads safer.


Learn more

This public engagement research takes a closer look at public attitudes towards automated vehicles and expectations regarding their safety. We use approaches from behavioural economics to assess the impact of safety messaging on increasing acceptance.

Our staircase model assessed how safety statistics can be used to support acceptance of automated vehicles onto UK roads, and uncovered how different demographics engage with information on automated vehicle safety. 

Read our summary or download the full report here.

Do we need a public information campaign on climate change - and how might it work?

At DG Cities, we focus on working with the public to advance the adoption of new technologies, services and deliver net zero neighbourhoods. Central to this has to be a shared understanding of ‘why’ – the need to shift to a low carbon economy to mitigate the impacts of climate change and a desire to make the places we live and work better for everyone. We have been reflecting on the role of government information in reinforcing this need for change, and how our work with communities might offer useful lessons in countering disinformation, mistrust and AI-generated content.

What was the last public information campaign you remember seeing?

“Hands, Face, Space?”

Keep Britain Tidy?

Maybe a terrifying warning not to boil a kettle on a boat?

Historically, these campaigns have covered everything from seatbelts and road safety to preparedness for a missile strike, yet we have yet to see a full-scale, government-led campaign on the climate crisis linked to specific actions we should take, such as transport and consumer choices.

Hands, Face, Space Covid-19 messaging, 2020

The demand, however, appears to be there – a petition to Parliament calling for a campaign has, at last count, more than 23,000 signatures.

But what would the delivery of an effective climate crisis campaign look like in 2025?

Gone are the days when a sternly narrated television ad, a page in a newspaper or a well-placed billboard were enough. In a world shaped by AI-generated misinformation, hyper-personalised digital content on social media, and polarised public discourse, campaigns must be smarter, more localised and, we believe, more deeply rooted in behavioural science.

Today, campaigns are often digital-first, as daily newspapers and scheduled ad breaks on tv channels become less of a shared routine. The NHS’s COVID-19 ‘Stay at home’ messaging was a rare modern example of a multi-platform campaign that achieved mass adoption, using a mix of clear messaging, emotional appeal, and trusted spokespeople. With the rise of misinformation, it’s no longer enough to simply broadcast a message and find ways to reach the majority of people. As well making it heard, it’s vital to ensure the information is trusted, believed and acted upon.

Government THINK road safety campaign

Misinformation in the age of AI

Public information campaigns now face unique risks. AI-generated deepfakes and viral misinformation can drown out official messaging, creating confusion and distrust. Research by Ofcom found that around one-third (39%) of UK adults had recently seen misinformation online. If AI can generate convincing fake news or misleading climate narratives rapidly and at scale, how do we ensure the public gets the right message?

One approach is to lead with transparency. Government campaigns must be upfront about how and why information is being shared, and ensure that sources are clear and credible. The rise of AI also means actively combating misinformation, working with tech platforms to identify and counter false claims. Meta’s announcement that it would no longer support fact-checking in the US has alarmed many.

Initiatives in the UK, like the rebranded National Security Online Information Team will be essential in ensuring climate messaging is both visible and trusted. This is something we touched on at DG Cities in our work on AI Assurance for the Department for Science, Innovation and Technology. Here, our research focused on identifying common language used to describe trust in AI tools – the shared basis from which policy and public guidance can develop.

Agreeing the message – and who should deliver it

With so many strands to the climate crisis, identifying the behaviours that will make the greatest difference, as well as the behaviours that a public information campaign is most likely to shift, is politically as well as practically challenging. Government trust is also fragile. According to the 2024 Edelman Trust Barometer, trust in government and the media is at its lowest point for a decade. That’s why who delivers a public message now matters as much as the message itself.

From our experience working on behaviour change campaigns with local government, we have seen the difference a hyper-local approach, where people feel the message is relevant and directed at them personally, can make. We believe that making climate change campaigns local by design, so they are delivered by councils, community leaders, or even trusted local businesses, could be a useful principle. Our work with the Royal Borough of Greenwich supporting communities to recycle more and reduce fly-tipping is a good example of this. We used simple messages, designed by the community, aligned to clear design principles, with scope for local nuance.

Our project involved locally created murals in Greenwich

Research in behavioural science also consistently shows that people are more likely to adopt new behaviours when the message comes from a source they trust. For example, vaccine uptake increased when delivered through community healthcare providers rather than through broad national messaging. A climate campaign could adopt a similar model, particularly when local interventions speak directly to the people most affected: a council-led campaign in areas prone to flooding that provides real-time climate data, or targeted messages in rural communities explaining the economic and energy security benefits of wind farms.

When we consume so much media, can a campaign ever have the same impact?

In an era of endless digital distractions, making a campaign stand out is harder than ever. This is where innovative design, behavioural psychology, and emerging technologies come into play.

One method is using ‘disruptive design’, by which we mean unexpected interventions that interrupt routine behaviour. Data at its most incorruptible and clear could be the message. In London, we have cycle lane counters that show number of users per day. The Netherlands experimented with digital billboards that respond in real-time to pollution levels, showing a visual representation of air quality. Similar dynamic campaigns could be used in UK cities, making climate data visible and immediate. In the UK, the Body Shop even experimented with the medium as the message, by installing billboards designed to actively remove pollutants from the environment.

Augmented reality (AR) and AI-driven interactive campaigns also have potential to capture people’s imagination. Imagine scanning a QR code at a bus stop and instantly seeing how climate change could impact your neighbourhood in twenty years’ time. These kinds of interventions bridge the gap between abstract global issues and personal, immediate impact.

The future of public campaigns

To be effective in the AI age, it’s clear that public information campaigns must evolve. The principles here are local, interactive, trustworthy, transparent and impactful.

If the government is serious about tackling the climate crisis by uniting the country with a greater understanding of the need to adapt our behaviours, a national information campaign is overdue. But to work, it must be unignorable, trustworthy, and smart enough to navigate the new landscape of AI-powered influence and polarised politics. Because in the end, the real challenge isn’t just what we say, but how, when, and where we say it and whether it leads to meaningful change.


To learn more of our Behavioural Innovation practice, read our latest brochure, which introduces our unique approach and recent work. If you are a council looking for an effective, affordable way to improve resident satisfaction and deliver change in your area, get in touch for a chat to see how we can help.

Will the Government’s AI Action Plan really deliver for UK workers?

The Government’s bold new plans - and even bolder use of language to ‘unleash AI’ - made the rounds in recent weeks’ headlines, but beneath the gleaming potential and the lofty optimism lies a critical question: will the rapid advance of AI lift UK workers as it claims, or leave them behind?

Drawing inspiration from Nobel laureates Daron Acemoglu and Simon Johnson’s Power and Progress, this piece by DG Cities’ AI specialist and Graduate Consultant, Nima Karshenas dives into the hidden risks of automation-driven displacement. By examining historical lessons and the blind spots in the unveiled AI policy, he uncovers how thoughtful procurement strategies can ensure that progress works for the many — not against them.

With AI investment growing at unprecedented speeds, governments are scrambling to stake their claim in this transformative market. The UK, under Labour’s growth-centric strategy, has every reason to push ahead. Early movers in AI have the potential to establish themselves in global markets and reap the economic rewards that come with it.

This pressure to act quickly has driven a liberal, growth-first approach. The plan’s emphasis on attracting investment, building infrastructure, and establishing initiatives like the AI Safety Institute reflects a strong focus on cultivating an ecosystem that supports the industry. But economic safety—the security of workers in the face of automation—remains largely absent.

Unpacking the Government’s assumptions

In his speech, The Prime Minister really drove home that the opportunity plan was going to deliver for workers, and this, through inspection of the corresponding policy document, is resting on the following assumptions:

  1. AI drives the economic growth on which the prosperity of our people and the performance of our public services depend;

  2. AI directly benefits working people by improving health care and education and how citizens interact with their government[1];

  3. The increasing of prevalence of AI in people’s working lives opens up new opportunities, rather than just threatens traditional patterns of work.

At first glance, these ideas seem promising, but history tells a more cautionary tale. A discussion of the first assumption is where we first interact with and explore the concept of the ‘productivity bandwagon’ outlined by Acemoglu and Johnson in Power and Progress. The productivity bandwagon outlines a commonly accepted principle in economics that when there is a breakthrough or improvement in technology, this leads to increased productivity, that in turn translates into an improvement in worker conditions through wealth creation.

By examining two historical examples outlined in their research we able to take a more critical lens on this assumption: 

The productivity bandwagon process illustration

The power loom era

The automation of weaving by the power loom displaced skilled hand weavers. While productivity soared, the resulting wealth accumulated among capital owners, not workers. Displacement without task creation left workers with lower wages, harsher working conditions, and limited agency for the next 60-70 years.

Illustration of the power loom at work. Source: Hulton Archive/Stringer/Getty Images

 

The digital revolution

Figure 3: Real Log Wages by education level in the United States (source: Autor, David. 2019. "Work of the Past, Work of the Future." AEA Papers and Proceedings, 109: 1–32.)

The rise of computers and automation starting in the 1970s promised greater efficiency, but for many workers (in the US) — and especially those without university degrees — real wages stagnated or even declined. The benefits of increased productivity were concentrated among the highly educated and capital owners, worsening income inequality.

This rise in automation was coupled with unprecedented neo-liberal tax reforms that were rooted in ‘trickle-down’ economics, that no doubt amplified income inequalities, therefore it’s difficult to directly attribute the fall in real wages to automation.

These examples reveal the key flaw in the productivity assumption: while technological advances drive productivity, they don’t guarantee better outcomes for workers. For that to happen, we must actively shape the conditions under which productivity gains are shared.

Creation or displacement?

The real question isn’t whether AI can increase productivity — it undoubtedly will — but what type of productivity we are fostering. Productivity that creates new tasks and industries can generate opportunities for workers. In contrast, productivity that automates existing tasks often leads to job displacement, pushing wealth upwards rather than spreading it across the economy.

This differentiation is critical. 

The plan’s third assumption - AI’s ability to create new opportunities - recognises this challenge, but doesn’t address it head-on. The AI Opportunity Action Plan relies on market forces to create these new opportunities, ignoring the lessons of the digital age. Without targeted policies, there’s no guarantee the market will fill the gaps left by displaced jobs, especially under the deregulatory stance outlined in the plan. 

The positioning the government has taken comes as a greater surprise, given the threats identified on lower-skilled jobs in the 2021 report by the Department for Business, Energy and Industrial Strategy - an analysis conducted on the back of Frey and Osbourne’s gloomy prediction in 2019 that around 35% of UK jobs were at high risk of being automated by computers. Although the estimated scale of the impact of automation is yet to materialise, there is no doubt that the recent rapid advancements in AI are going to accelerate this transition in labour demand, and the government needs an AI strategy that prioritises the economic consequences we can no longer ignore.

Nonetheless, by being conscious of the AI products we procure and develop, as organisations we can capitalise, excuse the pun, on the productivity that AI offers without displacing workers. The key message to drive home here is that as organisations, we need to procure AI products that Augment and Create instead of Trimming - but what does this actually mean, and how can this be built into procurement processes?

AI to Augment & Create (A&C)

What does it mean and what benefits does it bring to an organisation?

Now, whether an AI tool is augmenting and creating is entirely dependent on the context of each organisation, AI tools that automate certain tasks can in fact be augmenting and creating, seemingly a contradictory statement based on all that’s been discussed but leads to perhaps the most important distinction. 

Every organisation must first take a critical look at their current operations and evaluate the impact automation will have on them. An example here to best demonstrate - if there are critical datasets that are held by your organisation, but could not previously extract the value from because of the extensive cost and resources attached to cleaning, sorting and structuring them, and AI tools can help automate that process at fractions of the cost, then you are bringing value to your organisation without trimming your operations. The distinction lies in understanding how AI interacts with organisational operations, as the same AI tool can streamline one organisation's operations while augmenting another's. It's not a one-size-fits-all solution, but rather a nuanced approach that requires a critical understanding of AI's role within the organisation.

A few examples of the kinds of tools we are talking about:

1. AI-Powered Data Querying and Insight Generation

AI tools can process complex queries across vast datasets, identifying actionable insights that support better decision-making. For example, local authorities might use such tools to analyse housing or transportation data, uncovering trends that inform smarter policy decisions. Similarly, businesses can employ AI to assess operational data, optimising strategies based on clear, data-driven insights.

2. Patient Health Summaries for Healthcare Professionals

AI can consolidate and summarise patient health records, providing doctors with concise yet comprehensive overviews of a patient’s medical history. This enables faster, more informed decision-making, improving treatment outcomes. Additionally, AI transcription tools can handle administrative tasks, such as updating patient records, freeing doctors to focus on seeing more patients and handling critical cases.

3. AI-Driven Sentiment Analysis for Public Engagement

Previously, robustly analysing public sentiment toward local plans or policies was challenging with standard techniques. AI now enables the processing of large volumes of feedback—be it survey responses, social media comments, or public consultations—to evaluate sentiment at scale. This ensures that community perspectives are integrated into the design and planning of local spaces, allowing for longer, more thoughtful, and inclusive planning processes.


Shaping AI procurement around augmentation and creation is not just a safeguard against workforce displacement, it’s a strategy for making organisations smarter, not just more efficient. This approach fosters a healthier work environment, supports long-term growth, and ensures institutional memory is preserved. 

A smarter organisation: AI tools that augment decision-making provide workers with enhanced analytical capabilities, leading to more informed strategies and better long-term outcomes, improving productivity without compromising

A healthier work environment: Reducing repetitive tasks allows employees to focus on creative and high-value work, improving job satisfaction, fostering professional growth, and attracting high-level talent.

Long-term growth: Prioritising augmentation ensures businesses don’t just chase immediate efficiency gains but develop resilient, adaptable teams equipped for the future.

Institutional memory preservation: AI tools that work alongside employees rather than replacing them help retain and structure knowledge within an organisation, mitigating the risks of staff turnover, and an over-reliance on black-box technologies.


A&C Procurement Framework

Impactful procurement thrives on continuous learning and iteration, which we've embedded into a dynamic framework that integrates A&C principles.

A final note…

While we welcome the Government’s initiative in recognising the transformative potential of AI for the UK economy, considerable care needs to be taken in policy development to avoid repeating the mistakes of history. Economic growth alone does not necessarily lead to better outcomes for UK workers, and without thoughtful intervention, the benefits of AI risk further widening income inequalities and lowering real wages among UK workers.

A procurement strategy that prioritises AI tools which augment human capabilities and create new opportunities will not only safeguard the economy against growing inequalities but also deliver long-term, robust benefits for orgaget in touchnisations. While automation is not an inherent hindrance to the  economy, understanding where and when to apply it is critical to the sustainability of both businesses and the wider economy. 

 

At DG Cities, we help organisations navigate this evolving landscape, identifying, demystifying and implementing AI solutions that deliver impact on the ground, drive sustainable growth, whilst protecting the workforce. By embedding A&C principles into procurement, we can shape an AI-driven future that works for everyone. If you would like to continue this conversation, or get in touch about how we can help with your AI procurement, then please feel free to get in touch!


[1] We largely agree with this assumption, provided careful design of the AI products, but discussion is outside the scope of this blog.

Guest blog: Ed Houghton shares four vital steps towards public trust in AI for LOTI

Last year, DG Cities was commissioned by the Department for Science Innovation and Technology to research AI assurance in industry, and to investigate the language used to describe the approaches to evaluating AI in different sectors. This work formed part of the government’s report, Assuring a Responsible Future for AI, published in November. In a guest blog for LOTI (London Office of Technology & Innovation) Ed Houghton, who led the research, draws practical lessons from some of the key findings.

Transparency is a cornerstone of good governance, yet many public processes still feel opaque to many citizens. As AI increasingly shapes decision-making, questions arise about how open government and transparent democracy can thrive when most AI systems remain closed and complex. This is where AI assurance plays a crucial role.

AI assurance refers to the processes that ensure AI tools are used as intended, working effectively, ethically, and without harm. It’s particularly vital in local government, where public trust and service effectiveness are paramount.

Our research explored how AI assurance is understood across sectors. Through a national survey of over 1,000 leaders and interviews with 30 managers, the research identified key steps for maximising the benefits of AI safely and transparently. These include defining common AI terminology, fostering cross-department collaboration, prioritising continuous evaluation, and engaging communities to build public understanding and trust in AI systems.

Read the full piece on LOTI’s website.

 


How are the January resolutions going?

New year, new you? Or not.

It’s not always easy to go it alone when it comes to sustaining resolutions. Our behavioural innovation team takes a neighbourhood-level approach to changing behaviours, working together with communities to bring about the positive change they want to see in their areas.

DG Cities’ Behavioural Innovation approach draws on methodologies from behavioural science, service design and place-based research to overcome urgent environmental, social and economic challenges.

Our website is full of useful tips, articles and case studies, including:
- Behavioural Economist, Leanne Kelly's five points to consider to make change stick.
- A look at travel and behaviour change & the journey from intention to action.
- How can you be sure it's ethical?
- Understanding consumer barriers to tech, particularly self-driving cars.
- A conversation with Dr Sanchayan Banerjee, the leading expert on nudge theory.
- How we're putting principles into practice, such as boosting cycling uptake in Stevenage.

The team is looking forward to tackling new challenges in 2025, so get in touch to see how we can help your council or organisation: [email protected]

Find out more about our work, recent projects and some of the ways we help councils save money, resources and improve places: https://www.dgcities.com/behavioural-innovation