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William Rand Member since: Wednesday, October 24, 2007 Full Member Reviewer

PhD, Computer Science, University of Michigan, Certificate of Study, Center for the Study of Complex Systems, University of Michigan, MS, Computer Science, University of Michigan, BS, Computer Science, Michigan State University, BA, Philosophy, Michigan State University

The big picture question driving my research is how do complex systems of interactions among individuals / agents result in emergent properties and how do those emergent properties feedback to affect individual / agent decisions. I have explored this big picture question in a number of different contexts including the evolution of cooperation, suburban sprawl, traffic patterns, financial systems, land-use and land-change in urban systems, and most recently social media. For all of these explorations, I employ the tools of complex systems, most importantly agent-based modeling.

My current research focus is on understanding the dynamics of social media, examining how concepts like information, authority, influence and trust diffuse in these new media formats. This allows us to ask questions such as who do users trust to provide them with the information that they want? Which entities have the greatest influence on social media users? How do fads and fashions arise in social media? What happens when time is critical to the diffusion process such as an in a natural disaster? I have employed agent-based modeling, machine learning, geographic information systems, and network analysis to understand and start to answer these questions.

Garry Sotnik Member since: Friday, April 06, 2018 Full Member Reviewer

GARRY SOTNIK is a Lecturer with the Sustainability Science and Practice Program in the School of Earth, Energy and Environmental Sciences. He is a systems scientist with research focused on identifying robust strategies in contexts defined by deep uncertainty and global climate change. Garry develops and implements agent-based computer simulation models that explore co-evolutionary interactions among human cognition and behavior, on the one end, and biophysical conditions, on the other. He has experience designing and teaching courses on agent-based modeling and on different approaches to modeling coupled human and natural systems. Garry holds a Ph.D. in Systems Science from Portland State University and an M.A. in Economics and a B.S. in Management from Boston University.

agent-based modeling, cognition

emaille Member since: Friday, February 03, 2012

Ph D.

Land cover changes spatial agents based modelling
Forest fire risk modelling
Geographical information based modelling
Decision support for land planning

Stefan Scholz Member since: Thursday, February 20, 2014

MSc Public Health

My main research field is health economic modeling with the main focus on sexually transmitted diseases. We are trying to build a agent-based model using the FLAME-framework (www.flame.ac.uk).

J Dubbelboer Member since: Wednesday, April 15, 2015

Master Systems Engineering, Policy Analysis and Management

Doing research on how the flood insurance system in the UK should be structured in the future to make it resilient for environmental change.

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

Xiaotian Wang Member since: Friday, March 28, 2014

PHD of Engineering in Modeling and Simulation, Proficiency in Agent-based Modeling

Social network analysis has an especially long tradition in the social science. In recent years, a dramatically increased visibility of SNA, however, is owed to statistical physicists. Among many, Barabasi-Albert model (BA model) has attracted particular attention because of its mathematical properties (i.e., obeying power-law distribution) and its appearance in a diverse range of social phenomena. BA model assumes that nodes with more links (i.e., “popular nodes”) are more likely to be connected when new nodes entered a system. However, significant deviations from BA model have been reported in many social networks. Although numerous variants of BA model are developed, they still share the key assumption that nodes with more links were more likely to be connected. I think this line of research is problematic since it assumes all nodes possess the same preference and overlooks the potential impacts of agent heterogeneity on network formation. When joining a real social network, people are not only driven by instrumental calculation of connecting with the popular, but also motivated by intrinsic affection of joining the like. The impact of this mixed preferential attachment is particularly consequential on formation of social networks. I propose an integrative agent-based model of heterogeneous attachment encompassing both instrumental calculation and intrinsic similarity. Particularly, it emphasizes the way in which agent heterogeneity affects social network formation. This integrative approach can strongly advance our understanding about the formation of various networks.

Shah Jamal Alam Member since: Wednesday, July 16, 2008 Full Member Reviewer

PhD in Social Simulation, Masters in Computer Science, BS in Computer Science

My current interests include: agent-based modeling, simulating social complexity, land use, dynamic networks, social and cultural anthropology, HIV transmission dynamics, socio-political conflicts and social movements

Jacopo A. Baggio Member since: Tuesday, April 27, 2010 Full Member Reviewer

PhD in International Development, MA in Development Economics, BsC in Economics and Social Sciences

Yunhwan Kim Member since: Saturday, July 17, 2010 Full Member Reviewer

M.A. in Communications at Hankuk University of Foreign Studies(South Korea), B.A. in Political Science(Communications major) at Hankuk University of Foreign Studies(South Korea)
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