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 | 2020-03-17
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
Research news | 2018-11-20
Several new and exciting projects will be initiated
2020 - Journal / article
The sustainable governance and management of small-scale fisheries (SSF) is challenging, largely due to their dynamic and complex nature. Agent-based modeling (ABM) is a computational modeling approach that can account for the dynamism and complexity in SSF by modeling entities as individual agents with different characteristics and behavior, and simulate how their interactions can give rise to emergent phenomena, such as over...
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 ...