Matthias Wildemeersch profile picture

Matthias Wildemeersch

Research Scholar

Exploratory Modeling of Human-natural Systems Research Group

Advancing Systems Analysis

Biography

Matthias Wildemeersch is a research scholar with the Exploratory Modeling of Human-Natural Systems (EM) research group within the Advancing Systems Analysis (ASA) program. His research interests range from decision making under uncertainty to the study of cooperation. His research aims to provide decision support for problems in multiple fields, extending across welfare economics, environmental economics, and risk management.

Dr. Wildemeersch first joined IIASA in 2014 through the IIASA postdoctoral program. He received his PhD degree in 2013 in Electrical Engineering, Mathematics and Computer Science at the University of Twente, the Netherlands. He gained professional experience at the Joint Research Centre of the European Commission, the Agency for Science, Technology and Research (A*STAR) in Singapore, and the Singapore University of Technology and Design (SUTD).


Last update: 16 FEB 2021

Publications

Leip, D., Rovenskaya, E. , & Wildemeersch, M. (2022). Protecting Food Supply and Farmer Livelihoods in West Africa: Strategies for Risk Reduction. In: Systems Analysis for Reducing Footprints and Enhancing Resilience, 16-17 November, 2022, Vienna, Austria.

Carlino, A., Wildemeersch, M. , Giuliani, M., & Castelletti, A. (2022). Hydropower capacity expansion in the African continent under different socio-economic & climate policy scenarios. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Choquette-Levy, N., Wildemeersch, M. , Oppenheimer, M., & Levin, S.A. (2021). Risk transfer policies and climate-induced immobility among smallholder farmers. Nature Climate Change 11 1046-1054. 10.1038/s41558-021-01205-4.

Steinmetz, E., Wildemeersch, M. , Quek, T.Q.S., & Wymeersch, H. (2021). Packet Reception Probabilities in Vehicular Communications Close to Intersections. IEEE Transactions on Intelligent Transportation Systems 22 (5) 2823-2833. 10.1109/TITS.2020.2976564.