Human activity is pushing Earth beyond safe limits. Greenhouse gas emissions, deforestation, and ecosystem destruction are driving dangerous climate change, biodiversity loss, and ocean degradation. These changes threaten food systems, health, and global stability. Research shows that climate, nature, and oceans are deeply connected – protecting one depends on safeguarding them all.

Health research is exploding with data - clinical trials, genetic studies, global health stats. Yet too often, the insights stay buried in silos. In the health challenge at the fixathon, you’ll unlock this data to power real medical breakthroughs.

AI is advancing rapidly, bringing great opportunities but also serious risks—from misinformation and bias to cybersecurity threats and the challenge of aligning it with human values. Ensuring its safe development is a defining issue of our time. AI safety means building trust, transparency, and resilience into intelligent systems. This track explores how to design AI that serves humanity safely and responsibly.

Governments are essential to well-being and equality but face mounting pressures—aging populations, rising costs, and complex social and sustainability challenges. Rapid technological change, especially AI, is transforming work and public services, creating both opportunity and risk. Trust in institutions is strained, making transparency and citizen engagement vital. The challenge is to use AI not just for efficiency, but to strengthen trust, equity, and sustainability in the public sector.

Economic systems shape jobs, innovation, and living standards, but today they face mounting pressures—rising inequality, debt, inflation, and environmental overshoot. Research shows current growth models are straining planetary limits, from carbon emissions to biodiversity loss. The key question is how economies can support prosperity while staying stable, inclusive, and sustainable. Emerging tools like AI offer new ways to manage risks and explore more resilient, planet-conscious economic models.