Dr. A. (Amineh) Ghorbani

Amineh Ghorbani is an Associate professor of Institutional Modelling and Analysis at the Energy and Industry group. She is in the Management Team of the faculty AI lab. She is also an affiliated member of the Institutional Grammar Research Initiative, Institutions for Collective Action and the Ostrom Workshop.

Amineh’s research focuses on the role of institutions in climate change mitigation and adaptation. She using modelling, simulation, network analysis in combination with qualitative methods to conduct her research.


Amineh’s research interest is in studying institutional transformation in the face of climate change. She currently focuses on how collective action (e.g. in the form of community energy systems, urban commons) can contribute to more resilience for climate change mitigation. Being methodologically-driven, Amineh has pioneered “Institutional Modelling” by developing the MAIA framework (Modelling agent-systems using institutional analysis). She is also the developer of the Institutional Network Analysis method for studying interconnection between institutions.

  • Methods: Analysing Social Processes (4413MASP5)
    Credits: 5EC

  1. Mesdaghi, B., Ghorbani, A., & de Bruijne, M. (2022). Institutional dependencies in climate adaptation of transport infrastructures: an Institutional Network Analysis approach. Environmental Science & Policy127, 120-136.
  2. Feinberg, A., Ghorbani, A., & Herder, P. (2021). Diversity and challenges of the urban commons: A comprehensive review. International Journal of the Commons, 15(1).  doi.org/10.5334/ijc.1033
  3. Ghorbani, A., Ho, P., & Bravo, G. (2021). Institutional form versus function in a common property context: The credibility thesis tested through an agent-based model. Land Use Policy, 102, 105237. https://doi.org/10.1016/j.landusepol.2020.105237
  4. Feinberg, A., Ghorbani, A., & Herder, P. M. (2020). Commoning toward urban resilience: The role of trust, social cohesion, and involvement in a simulated urban commons setting. Journal of Urban Affairs, 1-26. doi.org/10.1080/07352166.2020.1851139
  5. Ghorbani, A., Nascimento, L., & Filatova, T. (2020). Growing community energy initiatives from the bottom up: Simulating the role of behavioural attitudes and leadership in the Netherlands. Energy Research & Social Science, 70, 101782. doi.org/10.1016/j.erss.2020.101782
  6. Abebe, Y. A., Ghorbani, A., Nikolic, I., Vojinovic, Z., & Sanchez, A. (2019). A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management. Environmental Modelling and Software, 483–492.https://doi.org/10.1016/j.envsoft.2018.10.015
  7. Ghorbani, G.P.J. Dijkema, and N. Schrauwen,(2015) Structuring Qualitative Data for Agent-based Modelling, Journal of Artificial Societies and Social Simulation (JASSS), Volume 18, issue 1,
  8. Ghorbani, V. Dignum, P. Bots, G. Dijkema,(2013) MAIA: A Framework for Developing Agent-based Social Simulations, Journal of Artificial Societies and Social Simulation (JASSS), Volume 16, issue 2,



Amineh Ghorbani

Associate Professor

Multi Actor Systems

System Engineering

Wendela Nooteboom

Research interests:
Institutional modelling and analysis
Collective Action
Climate Action
Community Energy
Agent-based modelling

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