Community

amoozgar Member since: Wednesday, February 01, 2012

B.S. Computer Science

AI, Agent based modeling and Social Simulation

planner.faysal Member since: Friday, April 06, 2012

PhD (continuing), M.Sc (Environmental Management), Bachelor in Urban and Regional Planning

Agent based model for coastal settlement transitions

Mainak Bandyopadhyay Member since: Monday, September 09, 2013 Full Member Reviewer

M.Tech (GIS)., B.Tech (Computer Science and Engineering).

Gonzalo Villa-Cox Member since: Sunday, June 08, 2014

Master in Science of Economics and Finance, Bachellor of Economics and Finance

Jonas Friege Member since: Sunday, November 16, 2014

Dipl.-Wi.Ing.

I currently work on an agent-based model on energy-efficient renovation decisions.

Andrew Bell Member since: Thursday, January 23, 2014 Full Member Reviewer

PhD, Natural Resource Management, University of Michigan

Andrew Bell (Ph.D. 2010, Michigan) was a Research Fellow in the Environment and Production Technology Division at the International Food Policy Research Institute (IFPRI) in Washington, DC. His current research portfolio focuses on the use of field instruments – such as discrete choice experiments, framed field experiments, randomized control trials – to inform behavior in agent-based models of coupled human-natural systems. Prior to this post, Andrew was a post-doctoral research fellow at The Earth Institute at Columbia University, where he focused on developing applications for paleo-climate histories.

Cinzia Tegoni Member since: Wednesday, October 29, 2014 Full Member Reviewer

Water scarcity generated by climate change and mismanagement, affects individual at microlevel and the society and the system at a more general level. The research focuses on irrigation system and their robustness and adaptation capacity to uncertainty. In particular it investigates the evolution of farmers interactions and the effectiveness of policies by means of dynamic game theory and incorporate the results into an Agent Based Model to explore farmers emergent behaviors and the role of an agency in defining policies. Early knowledge of individual decision makers could help the agency to design more acceptable solutions.

Christopher Parrett Member since: Sunday, October 20, 2019 Full Member

I am a lowly civil servant moonlighting as a PhD student interested in urban informatics, Smart Cities, artificial intelligence/machine learning, all-things geospatial and temporal, advanced technologies, agent-based modeling, and social complexity… and enthusiastically trying to find a combination thereof to form a disseration. Oh… and I would like to win the lottery.

  • Applied data science (machine/deep learning applications) and computational modeling (agent-based
    modeling) in U.S. Government
  • Geographic Information Systems and analysis of dense urban environments and complex terrain
  • Complexity theory and computational organizational design of distributed enterprise teams.
  • Human Capital Management and Talent Management policy development
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