Community

florianwaldner Member since: Tuesday, June 07, 2011

Business model innovation on markets for digital cultural goods.

Saeed abdolhoseini Member since: Wednesday, February 14, 2018 Full Member

This is Saeed Abdolhosseini. I am very interested in the area of agent based modeling and it is about 3 years that I am working on Agent-Based Modeling. I have a good experience of working with Netlogo &Repast simphony & Anylogic. I have developed a few ABM application.

Specialties: Agent-based models of social systems

Agent Based Modeling

Thomas Clemen Member since: Tuesday, September 17, 2019 Full Member

Diploma in Computer Science, Technical University of Dortmund, Germany, Dr. rer. nat. in Computer Science, Christian-Albrechts University, Kiel, Germany

social-ecological modelling; cognitive modelling; agent-based modeling&simulation; data science; smart city modelling; artificial intelligence; large-scale simulation

Leticia Lima Member since: Friday, October 31, 2014

Master in Environmental Systems Analysis and Modelling, Environmental Engineer

Ian Stuart Member since: Saturday, January 09, 2021 Full Member

I have only just started becoming active in research/agent based modeling.

I find agent based computational economics interesting. I would also be interested in combining agent based modeling to explore cultural anthropology, government policies, socioeconomic stratification, and the diffusion of information.

ben_davies Member since: Friday, March 30, 2012

MA - University of Auckland - Anthropology, BA - University of Hawaii - Anthropology

-Use of models, including agent-based models, in understanding the formation of surface archaeological deposits in arid Australia
-Individual-based modelling of resource use on marginal islands in Polynesian prehistory
-Individual-based modelling of the influence of serial voyaging events on body proportions in Remote Oceania
-Discrete event simulation of early horticultural production in New Zealand

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

Joseph A. E. Shaheen Member since: Wednesday, April 01, 2020 Full Member

Ph.D., Computational Social Science, George Mason University

Agent-based Modeling
Social Network Analysis
Network Science
Public Policy
Security Policy
Taxation Policy

Meike Will Member since: Thursday, June 11, 2020

  • since 03/2017: PhD Student at the Department of Ecological Modelling, PhD Topic: “Effects of microinsurance on informal safety nets and on strategies for natural resource use – a model-based analysis” (SEEMI-Project in collaboration with the Junior Research Group POLISES)
  • 10/2014 - 02/2017 Master of Science in Physics, Leipzig University
  • 10/2011 - 12/2014 Bachelor of Science in Physics, Leipzig University
  • Agent-based modelling of social-ecological systems
  • Coupling of agent-based modelling and social network analysis
  • Effects of microinsurance on informal risk-sharing arrangements and on land-use strategies
  • Representation of human decision-making in agent-based models
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