← Explore Research Questions Research Question
How can the impacts of interventions on complex systems be simulated quickly and accurately?
Related Existing Resources
Experimental Practice
Simulator (by Delib)
An online platform engaging citizens in deliberative decision-making by adjusting sliders to reflect priorities and observing consequences of different trade-offs. Used by over 100 organizations worldwide for budget allocation, climate response planning, policing priorities, transport planning, a...
Product
Forio Public Policy simulator
Forio’s public policy simulation solutions enable decision-makers to design policies, analyze outcomes across different scenarios, and build stakeholder consensus. The product helps organizations move beyond static spreadsheet analysis by allowing interactive exploration of how multiple policy in...
Experimental Practice
Beamm.Brussels
Policy impact simulation tool for the Brussels Capital Region
Product
PolicySynth
An open-source TypeScript library combining collective intelligence with AI to improve decision-making in governments and companies through multi-scale AI agent logic flows. Deploys specialized agents (Engineer, Insight, Evaluation) rather than single AI systems, analyzing complex problems, break...
Experimental Practice
FiveThirtyNine LLM forecasting
An AI forecasting system built on GPT-4o generating probability predictions for complex geopolitical and political events through multi-step reasoning: searching for news, compiling facts, weighing arguments, and producing calibrated probabilities. Testing against 177 historical events showed 87....
Research
The Time Machine: Future Scenario Generation Through Generative AI Toolson with Generative AI
Future scenario generation with Generative AI
Research
Empowering Scenario Planning with Artificial Intelligence: A Perspective on Building Smart and Resilient Cities
City-level scenario development (Hao et al. 2024)
Research
Gen
Gen is an open-source framework for probabilistic modeling and inference that automates complex probabilistic inference by providing building blocks for customized algorithms. The framework supports hybrid approaches combining neural networks, variational inference, sequential Monte Carlo, and MC...
Infrastructure
Policy Priority Reference
Policy Priority Inference (PPI) is a research programme and open-source toolkit that models the causal link between government expenditure and policy outcomes using agent-based modeling (a transparent AI approach). It helps governments measure public spending impact on development outcomes and su...