Agent-Based Models and Artificial Intelligence: An Approach for Analyzing the Socioeconomic Impacts of Climate Change

• Grant number: 24/22151-5
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: March 01, 2025
• End date: February 28, 2027
• Field of knowledge: Applied Social Sciences - Economics - Growth, Fluctuations and Economic Planning
• Principal Investigator: Rosangela Ballini
• Grantee: Nikolas Alexander Van de Bilt Schiozer
• Host Institution: Instituto de Economia (IE). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Company: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC)
• Associated research grant: 20/09838-0 - BI0S - Brazilian Institute of Data Science, AP.PCPE

Abstract

The research aims to develop an agent-based macroeconomic model to analyze the effects of climate shocks on commodity sectors and to test policies aimed at reducing economic volatility. It includes the analysis of time series data from the Brazilian economy, the modeling of sectors such as electricity and agriculture, and the proposal of economic policies to mitigate climate impacts. The model will be calibrated and validated using machine learning techniques. By developing this model to assess the impacts of climate change on socioeconomic variables, the proposal integrates two strategic areas of the Research Center for Artificial Intelligence - Brazilian Institute of Data Science (BI0S): the Methods track and the Agro track.