Extropy – OSS engine simulating population responses to real-world events

Summary: Extropy creates synthetic populations where each agent individually reasons based on personal factors like finances, job, commute, politics, and social network. It simulates how these populations react to defined scenarios, enabling detailed behavioral predictions without traditional polling. The tool is open source and supports scenario definition, population building, and simulation runs.

What it does

Extropy builds representative synthetic populations and simulates their reactions to events by modeling each agent’s unique circumstances. Users define scenarios, generate populations, and execute simulations to observe diverse behavioral outcomes.

Who it's for

Researchers and analysts seeking detailed population-level behavioral predictions without relying on costly surveys or consulting services.

Why it matters

It reveals nuanced impacts of events on different population segments that traditional polling methods often miss, improving the accuracy of behavioral forecasts.