MdM Keynote Speaker Series 2022: "Changing climate - changing behavior", by Tatiana Filatova

Tatiana Filatova, Professor of Computational Economics at Delft University of Technology, will be giving the keynote “Changing climate – changing behavior: empirical agent based computational models for climate change economics” at ICTA-UAB.

MdM Keynote Speaker Series 2022 

 

Title: "Changing climate – changing behavior: empirical agent based computational models for climate change economics"
 
Speaker: Tatiana Filatova, Professor of Computational Economics at Delft University of Technology


Date: Thursday, 20th of October 2022 
Time: From 11:30h to 12:30h   
Venue: Sala Antoni Rosell (Z/022- Z/023) - Online: https://us02web.zoom.us/j/88335343851?pwd=Vkd1RHJlSjkyL0Q5L2thbGowUG90Zz09  

  

BRIEF BIOGRAPHY and RESEARCH INTERESTS  

Tatiana Filatova is Professor of Computational Economics at Delft University of Technology. Prof Filatova leads the Dutch 4TU Research Program on Resilience, and serves as the Academic Lead of the Climate Change Governance Theme of the TU Delft Climate Action Programme. Between 2016-2021 she was a member of De Jonge Akademie of KNAW, and is currently a member of the Social Sciences Council of the Royal Netherlands Academy of Arts and Sciences (SWR/KNAW). Prof Filatova’s research focuses on socio-economic aspects of climate change and climate-resilient development http://www.sc3.center/. Her research has been acknowledged by the NWO VENI (2012) and VIDI (2020) grants, ERC Starting grant (2017). She is a recipient of the Biannual Medal (2022) and the Early Career Excellence Award (2014) of International Environmental Modelling & Software Society and of the EAERE Award from the European Association of Environmental and Resource Economists (2018).  
 

TOPIC of the KEYNOTE  

Climate is changing and will cause substantial disruption to socio-economic systems worldwide. Climate mitigation and adaptation measures are vital and require a careful analysis of economic costs and benefits. While a possibility of crossing thresholds and triggering abrupt irreversible changes in climate-economy system is foreseen, the development of models to study their emergence and effects is challenging. This is especially relevant for economic models, which are designed to study marginal changes only. New information about climate-induced risks, and behavioral changes amplified by social interactions do affect economic choices as well as associated potential emissions and damages. In the past years, agent-based computation economics has provided insights in complex interactions between climate and economy. As in other domains, economic agent-based models applied in climate adaptation and mitigation studies assume heterogeneity, bounded rationality, social interactions, learning and adaptive behavior. Such dynamic models enhance our understanding of non-linear dynamics of complex climate-economy systems and a potential emergence of systemic structural shifts. Yet, theoretical and empirical microfoundations of agent-based climate change economics models remain open. This talk discusses these methodological issues that essential in defining rules for agents’ behavior, behavioral change, learning and interactions in the climate change context where past data may not represent future trends and where regime shifts are expected. The methodological transparency is essential for a systematic comparison of agent-based with traditional climate change economics models. It is also a vital element that enables to fully exercise the power of ACE models in climate change economics and to make them useful for policy analysis.