Humans & technology form my drive & focus. They are both tremendously fascinating and empowering when combined allowing me to engage with meaningful challenges.
In my research I focus on understanding human behaviour in group(s) as a part of a complex (social) system. My research can be characterised by the overall question: ‘How does group or collective behaviour arise or change given its social and physical context?‘ More specifically, I have engaged with: ‘How is (individual) human behaviour affected by being in a crowd?’, ‘Why do some groups (cooperatively) use their resources sustainably, whereas others do not?‘, ‘What is the role of (often implicit simplistic) assumptions regarding human behaviour for science and/or management?’
To address these questions, I use computational simulations to integrate and reflect synthesised knowledge from literature, empirics and experts. Models, simulation and data analysis are my tools for gaining a deeper understanding of the mechanisms underlying such systems. More specifically, I work with agent-based modelling (ABM), simulation experiments and data analysis of large datasets. Apart from crowd modelling and social-ecological modelling, I also develop methodological tools to analyse social simulation data and combining ABM with other methods, such as behavioural experiments.
Focus on social-ecological systems. I contribute towards deeper understanding of human (group) behaviour in natural resource management. Case experts and data, theory and a variety of methods allow for integrating and modelling (system) behaviour from an unique angle. Projects: FIBE, AgentEx and COBA.
SES-LINK| Stockholm Resilience Centre | Stockholm University
Focus on support water policy and sustainable river management in the Netherlands. Contributed to running the serious games with water policy developers. I modelled policy decision dynamics as social uncertainty in long-term water management, based on conducted interviews. Project: adaptation pathways.
Faculty of Geoscience | Utrecht University
For my PhD I developed a social, cognitive model of crowd behaviour, ‘CROSS’, to study the behavioural mechanisms underlying crowd behaviour. Project: CROSS.
Faculty of Economics and Business, University of Groningen
Business Unit Human Factors, TNO Safety & Defense
For my master thesis project, I developed a model of egress (people fleeing out of buildings into the streets). This project was executed in Freiburg (Germany) as a part of the RoboCup rescue simulation team ResQ-Freiburg.
Faculty of Behavioural and Social Sciences | University of Groningen | The Netherlands
Department of Computer Science | Albert-Ludwigs University | Freiburg , Germany
Wijermans, N., Boonstra, W. J., Orach, K., Hentati-Sundberg, J., & Schlüter, M. (2020). Behavioural diversity in fishing—Towards a next generation of fishery models. Fish and Fisheries, 274(2), 30–19. http://doi.org/10.1111/faf.12466
Schill, C., Wijermans, N., Schlüter, M., & Lindahl, T. (2016). Cooperation Is Not Enough—Exploring Social-Ecological Micro-Foundations for Sustainable Common-Pool Resource Use. PLoS ONE, 11(8), e0157796–24. [www]
Wijermans, N., Conrado, C., van Steen, M., Martella, C., & Li, J. (2016). A landscape of crowd-management support: An integrative approach. Safety Science, 86(C), 142–164. [www]
Wijermans, N., Jorna, R., Jager, W., van Vliet, T., & Adang, O. M. J. (2013). CROSS: modelling crowd behaviour with social-cognitive agents. Journal of Artificial Societies and Social Simulation, 16(4). [www]
Waldherr, A., & Wijermans, N. (2013). Communicating Social Simulation Models to Sceptical Minds. Journal of Artificial Societies and Social Simulations, 16(4). [www]
The full publication list can be find in the ‘Details’ section of this page and on google scholar
Programming: Java, Python, C/C++, Prolog
Data analysis: R, MS excel, MATLAB
Software environments: Mac OSX, Windows, Linux, Repast, NetLogo, Eclipse, Rstudio
Misc: Git, SVN, Latex, HTML, WordPress
Wijermans, N., Schill, C., Lindahl, T., & Schlüter, M. (2022). Combining approaches: Looking behind the scenes of integrating multiple types of evidence from controlled behavioural experiments through agent-based modelling. International Journal of Social Research Methodology. DOI: 10.1080/13645579.2022.2050120.
Constantino, S. M., Schlüter, M., Weber, E. U., & Wijermans, N. (2021). Cognition and behavior in context: a framework and theories to explain natural resource use decisions in social-ecological systems. Sustainability Science, 16(5), 1651–1671. https://doi.org/10.1007/s11625-021-00989-w
Schwarz, N., Dressler, G., Frank, K., Jager, W., Janssen, M. A., Müller, B., Schlüter, M., Wijermans, N., & Groeneveld J. (2020). Formalising theories of human decision-making for agent-based modelling of social-ecological systems: practical lessons learned and ways forward. Socio-Environmental Systems Modelling, 2, 16340–25. http://doi.org/10.18174/sesmo.2020a16340
Wijermans, N., Boonstra, W. J., Orach, K., Hentati-Sundberg, J., & Schlüter, M. (2020). Behavioural diversity in fishing—Towards a next generation of fishery models. Fish and Fisheries, 274(2), 30–19. http://doi.org/10.1111/faf.12466
Lindkvist, E., Wijermans, N., Daw, T.M., Gonzalez-Mon, B., Giron-Nava, A., Johnson, A.F., van Putten, I., Basurto, X. and Schlüter, M. (2019). Navigating Complexities: Agent-Based Modeling to Support Research, Governance and Management in Small-Scale Fisheries. Frontiers in Marine Science 6:733. doi: 10.3389/fmars.2019.00733
Schlüter, M., Orach, K., Lindkvist, E., Martin, R., Wijermans, N., Bodin, Ö., & Boonstra, W. J. (2019). Toward a methodology for explaining and theorizing about social-ecological phenomena. Current Opinion in Environmental Sustainability, 39, 44–53. http://doi.org/10.1016/j.cosust.2019.06.011
Adrian, J., Bode, N., Amos, M., Baratchi, M., Beermann, M., Boltes, M., et al. (2019). A Glossary for Research on Human Crowd Dynamics. Collective Dynamics, 4, A19–13. http://doi.org/10.17815/CD.2019.19
Schlüter, M., Haider, L.J., Lade, S. J., Lindkvist, E., Martin, R., Orach, K., Wijermans, N. and Folke, C. (2019). Capturing emergent phenomena in social-ecological systems: an analytical framework. Ecology and Society, 24 (3):11. [www]
Bercht, A. L., & Wijermans, N. (2019). Mind the mind: How to effectively communicate about cognition in social–ecological systems research. Ambio, 48(6), 590–604. http://doi.org/10.1007/s13280-018-1099-7
Schlüter, M., Baeza, A., Dreßler, G., Frank, K., Groeneveld, J., Jager, W., Janssen, M.A., McAllister R. R. J., Müller B., Orach, K., Schwarz, N, and Wijermans, N. (2017). A framework for mapping and comparing behavioural theories in models of social-ecological systems. Ecological Economics, 131, 21–35. [www]
Schill, C., Wijermans, N., Schlüter, M., & Lindahl, T. (2016). Cooperation Is Not Enough—Exploring Social-Ecological Micro-Foundations for Sustainable Common-Pool Resource Use. PLoS ONE, 11(8), e0157796–24. [www]
Wijermans, N., Conrado, C., van Steen, M., Martella, C., & Li, J. (2016). A landscape of crowd-management support: An integrative approach. Safety Science, 86(C), 142–164. [www]
Andringa, T. C., van den Bosch, K. A., & Wijermans, N. (2015). Cognition from life: the two modes of cognition that underlie moral behavior. Frontiers in Psychology, 6. [www]
Wijermans, N., Jorna, R., Jager, W., van Vliet, T. & Adang, O. (2013). CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents. Journal of Artificial Societies and Social Simulation. [www]
Waldherr, A. & Wijermans, N. (2013). Communicating Social Simulation Models to Sceptical Minds. Journal of Artificial Societies and Social Simulation. [www]
Offermans, A., Valkering, P., Vreugdenhil, H., Wijermans, N., & Haasnoot, M. (2013). The Dutch dominant perspective on water; risks and opportunities involved. Journal of Environmental Science and Health, Part A: Toxic/Hazardous Substances and Environmental Engineering. [www]
Vreugdenhil, H. & Wijermans, N. (2013). De beleidsarena van het Deltaprogramma. Water Governance [www]
Amblard, F., Geller, A., Neumann, M., Srbljinovic, A., & Wijermans, N. (2010). Analyzing Social Conflict via Computational Social Simulation: A Review of Approaches. In M. K, M. D, & S. A (Eds.), (pp. 126–141). Complex Societal Dynamics – Security Challenges and Opportunities.
Wijermans N., Verhagen H. (2022) Fishing Together?. In: Van Dam K.H., Verstaevel N. (eds) Multi-Agent-Based Simulation XXII. MABS 2021. Lecture Notes in Computer Science, vol 13128. Springer, Cham. https://doi-org.ezp.sub.su.se/10.1007/978-3-030-94548-0_14
Wijermans, N., & Templeton, A. (2022). Towards More Realism in Pedestrian Behaviour Models: First Steps and Considerations in Formalising Social Identity. In Czupryna, M.& Kaminski, B. Advances in Social Simulation (pp. 53-64). Springer, Cham.
Wijermans, N., Verhagen, H. & Lytter, A. (2021). An online implementation of a virtual agent-based experiment tool – an exploration. In: Ahrweiler, P. & Neumann, M. (Eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complex. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_29
Scholz, G., Eberhard, T., Ostrowski, R. & Wijermans, N. (2021). Social Identity in Agent-based Models – Exploring the State of the Art. In: Ahrweiler, P. & Neumann, M. (Eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_6
Heidari, S., Wijermans, N., & Dignum, F. (2020). Agents with Dynamic Social Norms (pp. 1–13). Springer International Publishing. http://doi.org/10.1007/978-3-030-60843-9_9
Wijermans, N. & Verhagen, H. (2020) Forgotten AI? Advancing agent reasoning in models. Presented at the 32nd Swedish Artificial Intelligence Society annual workshop (16-17 June). [pdf]
Verhagen, H., Borit, M., Bravo, G., & Wijermans, N. (Eds.). (2020). Advances in Social Simulation. Springer Proceedings in Complexity. (pp. 1–520). Cham: Springer. http://doi.org/10.1007/978-3-030-34127-5
Wijermans N., O’Neill E.D. (2020) Towards Modelling Interventions in Small-Scale Fisheries. In: Verhagen H., Borit M., Bravo G., Wijermans N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_48 [ www ]
Waldherr, A. & Wijermans, N. (2015): Modelling the role of social media at street protests. Presented at the Social Simulation Conference 2015 of the European Social Simulation Association (ESSA), 14-18 September, Groningen, Netherlands.
Wijermans, N., & Schlüter, M. (2014). Modelling cooperation in Bali irrigation. In: Proceedings of the Social Simulation Conference 2014 of the 10th conference of the European Social Simulation Association, Barcelona.
Wijermans, N., & Schlüter, M. (2014). Agent-Based Case Studies for Understanding of Social-Ecological Systems: Cooperation on Irrigation in Bali. In B. Kamiński & G. Koloch (Eds.), Advances in Social Simulation Proceedings of the 9th Conference of the European Social Simulation Association (Vol. 229, pp. 295–305). Springer Berlin Heidelberg. doi:10.1007/978-3-642-39829-2_26
Wijermans, N., & Haasnoot, M. (2012). Including policy dynamics to explore water policy pathways. In A. Koch (Ed.), (pp. 175–178). The 8th Conference of the European Social Simulation Association. Salzburg, Austria.
Wijermans, N. & Vreugdenhil, H. (2012). Social Uncertainties in Social-Ecological Systems: Policy dynamics in the Dutch Delta Programme. In Seppelt, R., Voinov, A. A., Lange, S. & Bankamp, D. (Eds.) International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting. Leipzig, Germany. [www]
Haasnoot, M., van Deursen, W.P.A., Middelkoop, H., van Beek, E., & Wijermans, N. (2012). An Integrated Assessment Metamodel for Developing Adaptation Pathways for Sustainable Water Management in the Lower Rhine Delta. In Seppelt, R., Voinov, A. A., Lange, S. & Bankamp, D. (Eds.) International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting. Leipzig, Germany. [www]
Wijermans, N. (2011). Exploring the CROSS model: The role of density in crowds. The 7th European Social Simulation Association Conference. Montpellier, France.
Wijermans, N., Vreugdenhil, H., Haasnoot, M., & Middelkoop, H. (2011). Introducing social modelling in the water world. In The 7th European Social Simulation Association Conference. Montpellier, France.
Wijermans, N., Haasnoot, M., & Middelkoop, H. (2011). Dynamic modelling: social and physical interactions to explore future water management. In NCR days 2011: Controlling Dutch Rivers (pp. 58–59). Delft, The Netherlands. [www]
Offermans, A., Vreugdenhil H., Wijermans N., & Haasnoot M. (2011). The Dutch dominant perspective on water; Risks and opportunities involved. Sixth Dubrovnik Conference on Sustainable Development of Energy, Water and Environment Systems. Dubrovnik, Croatia.
Wijermans, N., Jorna, R. J. J. M., Jager, W., & van Vliet, T. (2008). Modelling the dynamics of motivational and situated behaviour. In Proceedings of the 2nd World Congress on Social Simulation. Washington, USA.
Geller, A., & Wijermans, N. (2008). “Death to …!‘: On opinion dynamics in conflict-torn Afghanistan’. In The Fifth Conference of the European Social Simulation Association. Brescia, Italy.
Wijermans, N., Jorna, R. J. J. M., Jager, W., & van Vliet, T. (2007). Modelling crowd dynamics. Influence factors related to the probability of a riot. In F. Amblard (Ed.), Proceedings of ESSA’07 the 4th Conference of the European Social Simulation Association. IRIT Editions.
Wijermans, N., Jorna, R. J. J. M., Jager, W., & van Vliet, T. (2006). Cognitive Social Agents, a Simulation in the field of Crowd Behaviour. In, Beyond the Brain: Embodied, Situated and Distributed Cognition. Cambridge: Cambridge Scholars Publishing.
Stöppler, F. & Wijermans, N. (2021, January 11). “SimPioN – Simulating Path dependence in inter-organisational Networks” (Version 1.0.0). CoMSES Computational Model Library. [ www ]
Wijermans, Nanda, Schlüter, Maja, Orach, Kirill, Boonstra, Wijnand, Hentati-Sundberg, Jonas (2020, April 20). “FIBE” (Version 1.0.0). CoMSES Computational Model Library. [ www ]
Wijermans, Nanda, Schill, Caroline, Lindahl, Therese, Schlüter, Maja (2016, November 13). “AgentEx” (Version 1.0.0). CoMSES Computational Model Library. https://doi.org/10.25937/js95-6d78 [ www ]
Wijermans, Nanda (2013, April 27). “CROSS – crowd behaviour modelling: a festival crowd model” (Version 1.1.0). CoMSES Computational Model Library. [ www]
Schlüter, M., Lindkvist, E., Wijermans, N. Polhill, G. (2021) Agent-based modelling. In Biggs, R., de Vos, A., Preiser, R., Clements, H., Maciejewski, K. & Schlüter, M. (Eds). The Routledge Handbook of Research Methods for Social-Ecological Systems (First edition, pp). Routledge.
Future research leader grant financed by FORMAS (The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning): Climate change – from the small-scale fisher’s point of view. Identifying critical multi-level processes for sustainable small-scale fisheries.
Team: Nanda Wijermans (PI), Caroline Schill, Therese Lindahl and Maja Schlüter
Wijermans, N. (2011). Understanding crowd behaviour: Simulating situated individuals. PhD thesis. [www]
Wijermans, N. (2005). Crowd modeling and control in a Robocup Rescue Domain. University of Groningen. Master thesis. [www]
Model calendar 2015 [ www ]
