sayama Member since: Wednesday, January 04, 2012

D.Sc. (Information Science, University of Tokyo, 1999), M.Sc. (Information Science, University of Tokyo, 1996), B.Sc. (Information Science, University of Tokyo, 1994)

See my website for details.

C Merdes Member since: Wednesday, August 10, 2016

Bachelor of Arts (Philosophy and Computer Science), Master of Science (Computerscience)

I am a formally oriented philosopher, applying computational techniques to questions of social epistemology and political philosophy. My current research is focused on explanations and interventions for phenomena of collective irrationality.

Dipanjan Sanyal Member since: Monday, May 29, 2017

Master of Science - Statistics, Bachelor of Science - Statistics Major

Savi Maharaj Member since: Thursday, August 15, 2013

PhD (Computer Science, Edinburgh), MSc (Computer Systems Engineering, Edinburgh), BSc (Maths and Computer Science, University of the West Indies)

Agent-based modeling of human behaviour; virtual experiments

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

Amirhoshang Hoseinpour Dehkordi Member since: Friday, January 23, 2015

Master of Science, Bachelor of Science

social simulation, Multiagent Systems, Process Algebra, Game Theory

Eileen Young Member since: Tuesday, September 10, 2019 Full Member

B.S., Liberal Studies, University of Wisconsin - Whitewater, M.S., Disaster Science and Management, University of Delaware

Graduate student in Disaster Science and Management at the University of Delaware.

Andrew Crooks Member since: Monday, February 09, 2009 Full Member

Andrew Crooks is an Associate Professor with a joint appointment between the Computational Social Science Program within the Department of Computational and Data Sciences and the Department of Geography and GeoInformation Science, which are part of the College of Science at George Mason University. His areas of expertise specifically relate to integrating agent-based modeling (ABM) and geographic information systems (GIS) to explore human behavior. Moreover, his research focuses on exploring and understanding the natural and socio-economic environments specifically urban areas using GIS, spatial analysis, social network analysis (SNA), Web 2.0 technologies and ABM methodologies.

GIS, Agent-based modeling, social network analysis

Eric Kameni Member since: Monday, October 19, 2015 Full Member Reviewer

Ph.D. (Computer Science) - Modelisation and Application, Institute for Computing and Information Sciences (iCIS) and Institute for Science, Innovation and Society (ISIS), Faculty of Science, Radboud University, Netherland, Master’s degree with Thesis, University of Yaounde I

Eric Kameni holds a Ph.D. in Computer Science option modeling and application from the Radboud University of Nijmegen in the Netherlands, after a Bachelor’s Degree in Computer Science in Application Development and a Diploma in Master’s degree with Thesis in Computer Science on “modeling the diffusion of trust in social networks” at the University of Yaoundé I in Cameroon. My doctoral thesis focused on developing a model-based development approach for designing ICT-based solutions to solve environmental problems (Natural Model based Design in Context (NMDC)).

The particular focus of the research is the development of a spatial and Agent-Based Model to capture the motivations underlying the decision making of the various actors towards the investments in the quality of land and institutions, or other aspects of land use change. Inductive models (GIS and statistical based) can extrapolate existing land use patterns in time but cannot include actors decisions, learning and responses to new phenomena, e.g. new crops or soil conservation techniques. Therefore, more deductive (‘theory-driven’) approaches need to be used to complement the inductive (‘data-driven’) methods for a full grip on transition processes. Agent-Based Modeling is suitable for this work, in view of the number and types of actors (farmer, sedentary and transhumant herders, gender, ethnicity, wealth, local and supra-local) involved in land use and management. NetLogo framework could be use to facilitate modeling because it portray some desirable characteristics (agent based and spatially explicit). The model develop should provide social and anthropological insights in how farmers work and learn.

Peer-Olaf Siebers Member since: Friday, February 15, 2019 Full Member

I am an Assistant Professor at the School of Computer Science, University of Nottingham, UK.

My main research interest is the application of computer simulation to study human-centric complex adaptive systems. I am a strong advocate of Object Oriented Agent-Based Social Simulation. This is a novel and highly interdisciplinary research field, involving disciplines like Social Science, Economics, Psychology, Operations Research, Geography, and Computer Science. My current research focusses on Urban Sustainability and I am a co-investigator in several related projects and a member of the university’s “Sustainable and Resilient Cities” Research Priority Area management team.

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