Governments and public institutions play a critical role in ensuring well-being, equality, and resilience in society. Yet the public sector faces mounting pressures: aging populations, increasing healthcare costs, complex social challenges, and the urgent need to deliver services more efficiently with limited resources – all while addressing long-term sustainability goals. At the same time, rapid technological change – especially through AI – is transforming the labor market, creating new opportunities but also leaving some people behind. Ensuring that these transitions are inclusive will be one of the defining challenges for governments in the coming decade. Trust in institutions is also under strain, making transparency and citizen engagement more important than ever. AI offers new ways forward – from more efficient public services to better crisis response and policymaking. The challenge is to use these tools not only to boost efficiency, but also to strengthen trust, equity, and sustainability in the public sector, while supporting the transition to more socially and environmentally sustainable societies.

In collaboration with Transport Committee, City of Stockholm.
Stockholm is expanding: new districts are being built, infrastructure is growing, and the population is rising. Now the question is how we design a city that improves life for both people and the planet.
Picture a Stockholm with clean air, thriving biodiversity, and more accessible green spaces. A city where movement is easy, energy is renewable, and every neighborhood feels safe and connected. A place where urban planning, data, and technology come together to support well-being, not just efficiency.
Climate adaptation, housing, transportation, and energy use are all deeply intertwined, and the choices we make today will shape how people live for generations to come. How can AI and data-driven design help us create a more livable, sustainable, and inclusive city for the future?


Build an AI solution within one of the following areas:
A) Movement & Mobility
How can we reduce emissions and congestion while making it easier to move through the city in sustainable ways? How can data on movement patterns, noise, emissions, and infrastructure be used to create smarter, more accessible, and climate-friendly mobility solutions?
B) Green Space & Health
How can trees, parks, water, and nature contribute to well-being, cooling, and biodiversity – while protecting vulnerable groups such as children and the elderly from heat stress? How can we combine climate and green-space data with information on where people spend time to identify areas with the greatest need for shade and cooling?
C) Air and Energy
How can we measure, understand, and reduce urban emissions using open data and new tools? By combining real-time and model-based data on air quality, emissions, and energy supply, we can create visualizations, predictive models, and solutions for smarter energy optimization.
D) Participation & Equality
How can more people take part in shaping a sustainable lifestyle, regardless of background or circumstances? Data related to social, economic, and health dimensions can reveal inequalities and inspire solutions that strengthen inclusion, equity, and participation.
E) Climate & Resilience
How can we make the city more resilient to heatwaves, flooding, and climate change – especially for those most affected? By mapping risk zones and analyzing how extreme weather impacts people and infrastructure, data can support local adaptation measures and help build a more resilient city.
A prototype (dashboard, AI-assistant, or interactive simulator) that demonstrates the impact of different transport policies on emissions, air quality, and health by 2030.
A pitch explaining how the solution could help cities design smarter and more sustainable mobility strategies.
For this challenge, some data sources may require pre-approved access. Make sure to review the data source document well in advance. We recommend preparing your data setup ahead of the Fixathon – some sources are open, while others require an account or API key. You can find more details in the document under Data sources and tools below.
In collaboration with Arbetsförmedlingen.
A strong and inclusive labour market is the foundation of a resilient society. Yet today, too many people are left standing on the sidelines — recent graduates struggling to enter their first job, professionals needing retraining, or newcomers finding it hard to match their skills to the opportunities available.
At the same time, the demand for new competencies is shifting faster than ever. Traditional systems for matching people with jobs, or for updating skills, can’t always keep up.
What if we could use AI not just to automate work — but to open doors? To identify hidden potential, connect people to meaningful learning paths, and make transitions smoother for those at risk of being left behind?
The challenge: How can AI help build a more inclusive, adaptive, and equitable labour market — one where everyone has the chance to contribute, learn, and thrive?

Develop an AI-driven prototype within one of the following areas:
Build fairness into the future of work: Ensure that AI-driven tools promote equity, accessibility, and diversity, helping everyone to participate in and benefit from economic transformation.
A prototype (app, dashboard, AI assistant, or data model) that demonstrates your idea in action and addresses the challenge.
A short video (1–3 minutes) that explains your solution — what problem it addresses, how it works, and the potential impact it could have.
Here, you’re encouraged to explore and identify your own data sources, research, and insights that can help you shape your idea.






All participants receive Lovable Credits for the Fixathon. Winners will also be awarded bonus credits and 6 months of full access.
All participants will receive Google credits that remain valid even after the Fixathon ends. For those ready to take your project beyond the hackathon, winners get direct access to Google VC Partnership team for a deep-dive session on scaling your idea.
All participants will receive access to NVIDIA’s Deep Learning Institute and get some free training resources. A secret prize will also be raffled among the winners (hint: something that sparks).
From Norrsken the winners will receive:
Global Norrsken Access: Unlock a global lite membership to Norrsken Houses – our hubs in Stockholm, Barcelona and Kigali – giving you access to the world’s most active impact ecosystems.
Coaching Session: Ready to take your project beyond the hackathon? Winners get direct access to Norrsken VC investors for a deep-dive session on scaling your idea – from go-to-market and fundraising strategy to building real-world impact.
Premium Speaking Opps: Get invited to speak at Norrsken events throughout the year. Share your story, showcase your solution, and connect with the people who can amplify your work.
Visibility Across Norrsken Channels: We’ll feature your team and solution across Norrsken’s official platforms, giving you exposure to a global community of entrepreneurs, investors and partners.
The winning teams of the "Build an Inflation Forecasting Model" challenge will be invited to the Riksbank, the central bank of Sweden, to present their solutions.
The winning team of the "Building an Inclusive Future of Work" challenge will be invited to Arbetsförmedlingen, the Swedish Public Employment Service. to present their solution.
The winning team of the AI Safety track ”AI Safety in real-world physical environments” will be invited to Advania and NVIDIA to present their solution.
The winning team of the AI Safety track ”Aligned intelligence” gets credits for Tzafon Computer, early access to the Light Cone consumer app and the NS model, plus a chance to pitch their project and be interviewed by the Tzafon founders.
The winning teams of the ”Building a sustainable and healthy city for the future” challenge will be invited to the City of Stockholm, to present their solutions.