Community

Arpan Jani Member since: Monday, September 30, 2019

Arpan Jani received his PhD in Business Administration from the University of Minnesota in 2005. He is currently an Associate Professor in the Department of Computer Science and Information Systems at the University of Wisconsin – River Falls. His current research interests include agent-based modeling, information systems and decision support, behavioral ethics, and judgment & decision making under conditions of risk and uncertainty.

agent-based modeling; behavioral ethics; information systems and decision support; project management; judgment & decision making under conditions of risk and uncertainty.

Paul Smaldino Member since: Sunday, May 06, 2012

PhD

I am interested in the evolutionary, cultural, and psychological processes through which complex human organizational patterns emerge. My approach consists largely of developing and analyzing mathematical and computational models of dynamic populations, which are informed by research across many disciplines. Some areas of study closely related to my work include social and cultural evolution, social identity and group formation, mate choice, institutional mechanisms for cooperation, social and cultural constraints on decision making, cognition, biological pattern formation, agent-based modeling, and the philosophy of modeling.

Frank Liu Member since: Friday, June 19, 2015

Ph.D. in Political Science

Victoria Ramenzoni Member since: Saturday, July 23, 2016

Ph.D.

Human behavioral ecology, marine ecology, cognitive sciences, decision making under uncertainty

Abbas Mirzaei Member since: Saturday, June 17, 2017

Ph.D. student

Management of Water Resources Conflicts in Halil-Rud River Basin: Application of Integrated Economic- Hydrological- Behavioral Model

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.

Steven Doubleday Member since: Sunday, June 30, 2013

BS, Sociology/Anthropology, Haverford College

Graduate studies in mathematical behavioral sciences, with focus on developing cognitively plausible agent models for simulation of economic problems.

Yifei Wang Member since: Saturday, February 25, 2017 Full Member Reviewer

Ph.D in Computing, M.Eng. in Astronautics Engineering, B.Eng. Computer Science & Technology

dmasad Member since: Monday, October 10, 2011

University of Chicago: BA in Economics, 2009

Interdisciplinary researcher interested in using computational modeling and analysis to study national security, urban and online behaviors, and other topics.

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