Wijerman uses agent-based modelling (computational simulation) to integrate and formalise case or expert knowledge, (social) theory and connecting to other methods to contribute to a deeper understanding.
Wijermans has a PhD in Social Simulation with a thesis titled ‘Understanding crowd behaviour’ and MSc in Artificial Intelligence, specializing in autonomous systems. Her multidisciplinary upbringing (mix of computer science, psychology, math, philosophy, etc.) and development towards social-ecological system research is a relevant addition to the variety of multi-disciplinary scientists at SRC.
Wijermans also engages in a number of scientific committees, such as: Active member of the European Social Simulation Association (Management committee, 2012-2016; Coordinator of a special interest group on Cognitive models in Social Simulation (2012-2016); Coordinator & organiser of ESSA@work workshops and conference tracks for modellers (2008-2016).
Research news | 2020-09-15
Diversity in fisher behaviours are often absent in current models of fisheries. A new study points out how to incorporate them
Research news | 2020-03-17
Computational approach can reveal intricate interactions among stakeholders and help prevent unintended policy outcomes
Research news | 2019-12-30
Time to go from simply describing social-ecological systems to explaining how their complex interactions generate observed outcomes
Research news | 2019-12-19
New framework for analysing emergent properties and dynamics in social-ecological systems tested on seven case studies