CMCC Talk: Artificial societies, real decisions: agent-based simulation for climate policy testing – 20 October, h. 12.00 CEST

How might we assess whether a climate adaptation policy will benefit a population — and at what economic cost — before it is implemented? In this talk, Alessandro Taberna (CMCC) presents a bottom-up, data-intensive approach based on agent-based simulation: computational models in which hundreds of thousands of virtual households and firms make individual decisions, so that aggregate economic and social outcomes emerge from the interactions of many heterogeneous actors rather than imposed assumptions.
The central idea is calibration against real-world micro-data. By grounding these “artificial societies” in household surveys, flood maps, and geolocated climate variables such as temperature and precipitation, we can construct synthetic populations that closely reproduce the structure of specific territories. Within this controlled virtual environment we can then run counterfactual, “what-if” experiments — introducing a candidate climate policy and tracing its effects on the simulated economy and population over time.

20 October, h. 12.00 CEST
Info & registration: https://cmcc-it.zoom.us/webinar/register/WN_yJdnfYrhRA6TGahc_EM2bA#/registration