Using modeling and simulation to support the development of resilient infrastructures
Ecology - Natural Resources Management (Community-based management)
I worked on natural resources management modelling in STELLA. I developed a technical and scientific model to analyze soil, climate and biological conditions to explain how Bamboo ecosystem works and how people in Cundinamarca, Colombia could focus on a sustainable model for use and manage forestry resources.
Also, I worked on the seventh framework program named: Community-based management of Environmental Challenges in Latin America -COMET-LA-. The project built a learning arena with scientists, civil society and government to identify sustainable models for governance of natural resources in social-ecological systems located in a rural context from Colombia, México and Argentina.
I am interesting in research on Modelling of governance and Community-based management of natural resources.
I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference
Agent-based computational economics (ACE); development and use of ACE test beds for the study of electric power market operations; development and use of ACE test beds for the study of water, energy, and climate change
I am a senior lecturer teaching integrated water resources management at the department of Agricultural Engineering of University of Dschang Cameroon, holding a PhD in Applied development Sciences.
I am interested in network theory of change and agent-based. modeling.
Amineh Ghorbani is an assistant professor at the Engineering Systems and Services Department, Delft University of Technology, the Netherlands. 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 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.
evolution of institutions
community energy systems
Behavioural aspects of environmental problems: Use of evolutionary approaches to investigate how people react to environmental policy.
Climate-economic Models: Understand how economic agents think and decide about climate change and climate protection
I am a multidisciplinary researcher (PhD Candidate) at the University of Helsinki. My research interests include sustainable behaviour change, ecological psychology, cognitive science and cultural evolution. I have a soft spot for complex systems and philosophy of science.
Philosophy of Science
Science & Society
I am currently working as a researcher engineer at the Trustworthy, Intelligent, Self-organizing Information Systems Laboratory (LICIA) of the French Alternative Energies and Atomic Energy Commission (CEA) since January 2017, where I carry out research in distributed problem solving in general.
I am interested in working on open interdisciplinary problems in domains like multi-agent systems, collective intelligence, self-organization and self-adaptation, biological systems, distributed clock synchronization and behavioural economics.