Entrevistas e Palestras
Organization: The Institute of Economics, Federal University of Rio de Janeiro & The EEIST Project (Economics of Energy Innovation and System Transition)
Date: August 1, 2, and 4, 2022, from 9:30 AM to 6:00 PM
Objective: Disseminate recent advances in alternative modeling approaches for the energy transition and the environment
Registration: until July 27th, no charges (free registration)
Availability: 20 in-person, plus 20 remote positions
Target audience: academics and professionals from the economics, energy, and climate areas willing to learn more about alternative modeling approaches, or academics and professionals already engaged with the agent-based methodology willing to learn more and contribute to the ecological transition aspect. Attendees will have the opportunity to catch up with what is happening on the fringe of agent-based modeling for energy transition research, in addition, to getting hands with the models in the Laboratory sessions, running experiments, and analyzing results in real-time on the computer. No previous programming experience is required but will help attendees understand the experiments.
Teachers: international-level renowned researchers in the area to present their own models and their most recent developments, including Professor Andrea Roventini (Sant’Anna School of Advanced Studies, Italy), Professor Marco Valente (University of L’Aquila, Italy), Professor Marcelo Pereira (State University of Campinas, Brazil), Dr. Roberto Pasqualino (University of Cambridge, UK) and Professor Esther Dweck (Federal University of Rio de Janeiro, Brazil).
https://www.ie.ufrj.br/pos-graduacao-j/winter-school-ie.html
Detalhes do evento:
Dia(s): 1 ago 2022 - 4 ago 2022
Horário: 09h30 - 18h00
Local: Lab 229 – Instituto de Economia (IE/UFRJ)
Av. Pasteur, 250, Rio de Janeiro, RJ, 22290-902, Campus da Praia Vermelha
Categorias
Inscrição:
A confirmação da inscrição é de responsabilidade do organizador do evento.
Valor: Gratuito
Período de inscrição: Verificar com a organização
Site: https://www.ie.ufrj.br/ppge-home.html
Instituição responsável: Instituto de Economia (IE/UFRJ)
Email do organizador:
Telefone de contato: