SANE v0.5 Released: Multi-Agent Framework for Policy Simulation
Our latest release introduces support for millions of concurrent agents with improved behavioral modeling...
Read morePolicy simulation and research that shapes the future
APES Lab is a nonprofit research organization using multi-agent simulation to model complex economic and policy systems. We help policymakers, researchers, and institutions understand potential futures before they unfold.
SANE v0.5
Simulative Agent-based Normative Environment
Introducing our flagship multi-agent simulation framework. SANE enables researchers to model millions of autonomous agents with distinct behaviors, incentives, and decision-making processes to simulate complex socioeconomic systems.
Read announcementResearch domains
Our multi-agent simulations span critical policy areas where understanding complex system dynamics can inform better decision-making.
Monetary Policy
Simulate interest rate transmission, inflation dynamics, and central bank policy impacts across heterogeneous economic agents.
Regulatory Impact
Model how regulatory changes—from environmental policy to financial regulation—propagate through interconnected markets.
Political Economy
Analyze voting behavior, coalition formation, and policy feedback loops in democratic systems.
Trade & Tariffs
Evaluate global supply chain responses to trade policy changes and tariff implementations.
Labor Markets
Study employment dynamics, wage negotiations, and workforce transitions under policy interventions.
Climate Economics
Project economic pathways under different climate scenarios and carbon pricing mechanisms.
Understanding agent-based modeling
Learn how computational simulation is transforming policy research and economic forecasting.
"Agent-Based Computational Economics" — Santa Fe Institute
1M+
Agents Simulated
47
Research Papers
12
Policy Partners
8
Countries Studied
Join the future of policy research
We're building a community of researchers, policymakers, and institutions committed to evidence-based decision making through computational simulation.