Hackathon: AI Forecasting
Important registration information: To participate in this event, please sign up through Apart Research's event page before registering.
The trajectory of AI development represents one of the most consequential questions for humanity's future. Understanding when and how transformative AI capabilities will emerge is critical for policy, safety research, and societal preparedness. Yet current forecasting methods struggle with unprecedented technological shifts, compounding uncertainties, and the challenge of predicting emergent capabilities.
In this hackathon, you can:
Build forecasting models and evaluation pipelines to anticipate AI capabilities and timelines
Create tools for scenario exploration, uncertainty quantification, and model benchmarking
Develop monitoring systems for key indicators of AI progress across research, industry, and policy
Write policy briefs and governance proposals grounded in forecasting insights
Explore new methodologies inspired by projects like AI 2027 and EpochAI's empirical forecasting work
Pursue other projects that advance the field of AI forecasting!
You will work in teams over one weekend and submit open-source forecasting models, benchmark suites, scenario analyses, policy briefs, or empirical studies that advance our understanding of AI development timelines and trajectories.
Trajectory Labs, the jamsite, provides a comfortable and spacious coworking space along with coffee, tea, and other refreshments (meals not provided, but there are many nearby options). Other locations will also be taking part!
More information can be found on the The AI Forecasting Hackathon page