Community

Amineh Ghorbani Member since: Tuesday, August 20, 2019 Full Member

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.

collective action
institutional emergence
evolution of institutions
community energy systems

Önder Gürcan Member since: Monday, March 02, 2009 Full Member

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.

Garvin Boyle Member since: Sunday, February 03, 2013 Full Member Reviewer

B.Sc, B.Ed.

To understand the nature of sustainable biophysical/economic systems. To determine the necessary and sufficient conditions for sustainability. To explore the trade-off between sustainability and social or economic justice. To investigate the application of the MEP and/or the MEPP to economic systems, or agent-based models of economic systems.

Laura Merz Member since: Wednesday, May 08, 2019 Full Member

Master student in Sustainable Development at Uppsala University

Sustainable Development
Systems Analysis
System Thinking
Agent-based Modelling
Socio-technical Systems
Rethinking Economics
Social Sciences

Uzair Ahmad Member since: Thursday, February 26, 2015

PhD, MIT

Complex Adaptive Systems, Data Analytics and Visualization

Malik Koné Member since: Thursday, January 21, 2016

Master in mathematics and didactics

Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.

Firouzeh Taghikhah Member since: Monday, November 18, 2019 Full Member

  • System modelling of behavior change
  • Socio-environmental systems for sustainable development
  • Life cycle analysis
  • Serious games for sustainable future
  • Food preferences
  • Agricultural economics

Rory Sie Member since: Tuesday, February 11, 2014

dr., MSc.

Mainly interested in studying social networks of learners, teachers, and innovators. Uses Social Network Analysis, but also sentiment analysis, data mining, and recommender system techniques.

MV Eitzel Solera Member since: Sunday, May 21, 2017 Full Member Reviewer

I am a data scientist employing a variety of ecoinformatic tools to understand and improve the sustainability of complex social-ecological systems. I am also working to apply Science and Technology Studies to my modeling processes in order to make social-ecological system management more just. I prefer to work collaboratively with communities on modeling, both teaching mapping and modeling skills as well as analyzing and synthesizing community-held data as appropriate. At the same time, I look for ways to create space for qualitative and other forms of knowledge to reside alongside quantitative analysis. Recent projects include: 1) studying Californian forest dynamics using Bayesian statistical models and object-based image analysis (datasets included forest inventories and historical aerial photographs); 2) indigenous mapping and community-based modeling of agro-pastoral systems in rural Zimbabwe (methods included GPS/GIS, agent-based modeling and social network analysis).

Carlos Alexandre Ferreira Gama Member since: Wednesday, July 17, 2019 Full Member

M.Sc., Economics, IBMEC, B.Sc., Industrial Engineering, UERJ

Intrapreneur and experienced Consultant with a demonstrated history in the energy industry. Skilled in Business Planning, Corporate Finance, Digital Transformation and Analytics. Strong consulting professional focused in Organizational Development and Project Management. I have a degree in Industrial Engineering from the Rio de Janeiro State University (2000) and a master’s degree in Economics from Brazilian Institute of Capital Markets IBMEC (2003). Has experience in the area of Computer Science, with emphasis on Modeling of Complex Systems.

Complex Systems
Agent-based Models
System Dynamics
Innovation
Economics
Organizational Development

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