Dr. A. (Amineh) Ghorbani
Amineh Ghorbani is an assistant professor (Tenure Track) at the Engineering Systems and Services at TBM, Delft University of Technology. She is also an affiliated member of the “Institutions for Collective Action” at Utrecht University. She obtained her M.Sc. in Computer Science (Artificial intelligence) from University of Tehran (Iran) (2009, honours) and her PhD from Delft University of Technology (2013, cum laude).
During her PhD, Amineh developed a meta-model for agent-based modelling, called MAIA, which describes various concepts and relations in a socio-technical system. This modelling perspective helped her develop a new modelling paradigm that she refers to as institutional modelling.
Her current area of research is understanding the emergence and dynamics of institutions (set of rule organizing human society) using modelling. She is interested in how bottom-up collective action emerges and how institutions emergence and change within communities.
- Renewable Energy Systems
2016 - 2019
Master Industrial Ecology
- Computer en Informatiesystemen
2016 - 2019
Bachelor Technische Bestuurskunde
- Abebe, Yared Abayneh, Amineh Ghorbani, Igor Nikolic, Zoran Vojinovic, and Arlex Sanchez. "A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management." Environmental modelling & software 111 (2019): 483-492.
- Acosta, C., Ortega, M., Bunsen, T., Koirala, B., & Ghorbani, A. “Facilitating energy transition through energy commons: An application of socio-ecological systems framework for integrated community energy systems.” Sustainability, 10(2), 366 2018.
- Ghorbani, Amineh, Giangiacomo Bravo, Ulrich Frey, and Insa Theesfeld. "Self-organization in the commons: An empirically-tested model." Environmental modelling & software 96 (2017): 30-45.
- Ghorbani, Amineh, and Giangiacomo Bravo. "Managing the commons: a simple model of the emergence of institutions through collective action."International Journal of the Commons 10.1 2016.
- Ghorbani, G.P.J. Dijkema, and N. Schrauwen, Structuring Qualitative Data for Agent-based Modelling, Journal of Artificial Societies and Social Simulation (JASSS), Volume 18, issue 1, 2015
- Ghorbani, P. Bots, H. Alderwereld, V. Dignum, G. Dijkema, Model-Driven agent-based simulation: Procedural semantics of a MAIA model,Simulation Modeling Practice and Theory, Volume 49, 27-40, 2014.
- Ghorbani, Amineh, Dignum, Virginia, Bots, Pieter, Dijkema, Gerard, MAIA: A Framework for Developing Agent-based Social Simulations, Journal of Artificial Societies and Social Simulation (JASSS), Volume 16, issue 2, 2013.
- Ghorbani Amineh, Structuring Socio-technical Complexity: Modelling Agent Systems Using Institutional Analysis, PhD thesis, TU Delft, 2013.
- Member of the Education Committee of the Industrial Ecology Master programme (Delft and Leiden)
- Member of the European Social Simulation Association
- Member of the International Association for the Study of the Commons
- +31 15 27 86703
Faculty of Technology, Policy and Management
Engineering Systems and Services
Energy and Industry
Institutional Analysis and Design
Sustainable Collective Action
Bottom-up community energy systems
Urban common-pool resources
Agent-based modelling, Institutional modelling