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On February 16th, , Professor in Economic Modeling for Resilient Societies at the ľ¹Ï¸£ÀûÓ°ÊÓ of Twente in the Netherlands, and at the ľ¹Ï¸£ÀûÓ°ÊÓ of Technology Sydney, Australia, gave a talk presenting novel approaches to understanding cities, housing markets and climate change

In her talk, Tatiana highlighted that by 2050 about 80% of the world’s population is expected to live in cities, which would need to provide living and working space while addressing inequality, housing affordability and emissions reduction challenges. Cities also need to reinforce resilience to accelerating climate-related risks.  Tatiana illustrated how agent-based computational economic models can be used to study adaptation to floods by accounting for the role of social interactions and risk perception biases in this process. She also outlined her vision on how agent-based models can be scaled up and linked to other types of models, including macro-level Integrated Assessment Models.

Bio

Tatiana Filatova is Professor in Economic Modeling for Resilient Societies at the ľ¹Ï¸£ÀûÓ°ÊÓ of Twente in the Netherlands, and at the ľ¹Ï¸£ÀûÓ°ÊÓ of Technology Sydney, Australia. Tatiana was privileged to spend half of her PhD time at the Department of Computational Social Science, George Mason ľ¹Ï¸£ÀûÓ°ÊÓ, USA, as part of the first PhD program in complexity science worldwide. Tatiana is a member-elect of the Young Academy (DJA) of the Royal Netherlands Academy of Arts and Sciences (KNAW), of the Social Sciences Council of KNAW, member of the Scientific Steering Board of the 4TU ‘Resilience Engineering’ Research Center, and also serves as the Associate Editor of the Environmental Modelling & Software journal. Her research line focuses on macro impacts of individual behavioral changes in complex adaptive human-environment systems. She applies bottom-up computational methods to climate change economics, employing primarily urban and regional agent-based models combined with social science methods of behavioral data collection. This research line has been distinguished by the NWO VENI and ERC Starting grants, the Early Career Excellence award of the International Environmental Modeling Society (iEMSs), and was supported by several national and international research grants.