A first line of research is related to different types of diffusion processes that occur in multi-agent networks. Diffusion processes can represent many dynamic network phenomena, such as the communication between organisms, opinion diffusion in social networks, or migration between countries. Yet current models are not able to capture different types of interactions between agents, network asymmetry, or exogenous control of the network dynamics. The developed probabilistic framework describes diffusion in multi-agent networks and addresses problems related to network stability, speed of propagation, and resilience with respect to external disturbances. The theoretical framework has inspired us to develop a macroeconomic model that explains the interaction between economic migration and capital flows within a network of countries.
A second line of research addresses pest outbreaks in ecosystems. Pest outbreaks can strongly affect ecosystem health, and can hence have far-reaching consequences for local economies that depend on specific ecosystem services. I am developing an analytical model to better understand the relevance and interaction of the driving mechanisms of pest outbreaks acting at multiple spatial scales. Specifically, I consider host-pest interactions at the local scale together with topology and connectivity at the landscape scale. The insights that result from this model are subsequently used to design early warning indicators for pest outbreaks and anticipatory forest management strategies, catered to the landscape rather than to individual habitat patches.
Funding: IIASA Postdoctoral Program
Program: Advanced Systems Analysis & Ecosystems Services and Management Programs
Dates: November 2014 – present
Last edited: 12 January 2017
Options Winter 2015 article
Postdoctoral research at IIASA
Wildemeersch M , Franklin O , Seidl R, Rogelj J , Moorthy I, & Thurner S (2019). Modelling the multi-scaled nature of pest outbreaks. Ecological Modelling 409: e108745. DOI:10.1016/j.ecolmodel.2019.108745.
Wildemeersch Matthias , Ronald Chan Wai Hong, Rovenskaya Elena, & Quek Tony QS (2018). Characterization and Control of Conservative and Non-conservative Network Dynamics. IFAC Journal of Systems and Control 5: 22-29. DOI:10.1016/j.ifacsc.2018.07.002.
Wildemeersch M , Rovenskaya E, Fürnkranz-Prskawetz A, & Crespo Cuaresma J (2018). Economic migration and capital flows: Designing policies for global inequality reduction. In: 14th Viennese Conference on Optimal Control and Dynamic Games, June 2018, Vienna, Austria.
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