Wijermans’s research focuses on understanding and formalizing of human behaviour in and on social-ecological systems. She 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.
At SRC, she works in GRAID and focuses on synthesising knowledge using agent-based modelling, i.e. comparing and exploring fishery case studies and interventions. Before GRAID, Wijermans worked in the SES-LINK project focusing on the role of human behaviour in diverse natural resource management projects. These projects concerned theory development (AgentEx), exploring the effect of assumptions on fisher behaviour (FIBE) and the role of complexity in SES inspired by Balinese irrigation (COBA).
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 | 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
Research news | 2018-11-20
Several new and exciting projects will be initiated
Research news | 2018-11-09
The perception of cognition and other related terms easily get misunderstood in scientific processes, leading to frustration, communication breakdown and a collaboration impasse
2019 - Journal / article
Explanations that account for complex causation, emergence, and social-ecological interdependence are necessary for building theories of social-ecological phenomena. Social-ecological systems (SES) research has accumulated rich empirical understanding of SES; however, integration of this knowledge toward contextualized generalizations, or middle-range theories, remains challenging. We discuss the potential of an iterative and ...
2019 - Journal / article
Social-ecological systems (SES) are complex adaptive systems. Social-ecological system phenomena, such as regime shifts, transformations, or traps, emerge from interactions among and between human and nonhuman entities within and across scales. Analyses of SES phenomena thus require approaches that can account for (1) the intertwinedness of social and ecological processes and (2) the ways they jointly give rise to emergent so...
2017 - Book chapter
Occupy, the Gezi park movement, the Maidan protests, or the recent solidarity marches for Charlie Hebdo—since the uprisings of the Arab Spring, we could observe many examples of on-site protests on big squares and streets being accompanied by waves of collective action in social media. We present the design stage of an agent-based model that will allow us to explore the following questions: What role does social media play in ...
2017 - Journal / article
Formal models are commonly used in natural resource management (NRM) to study human-environment interactions and inform policy making. In the majority of applications, human behaviour is represented by the rational actor model despite growing empirical evidence of its shortcomings in NRM contexts. While the importance of accounting for the complexity of human behaviour is increasingly recognized, its integration into formal mo...