Community

Javed Ali Member since: Monday, December 17, 2018 Full Member

Flood Risk Management, Coupled Human-Natural System Modelling, Socio-hydrological Modelling, Agent-Based Modelling, Human Behaviour Modelling, Agent-Based Social Simulation, Hydrological and Hydraulic Modeling, Geographic Information Systems (GIS), Mapping, Risk Modelling and Risk Visualization, Disaster Risk Reduction

Flaminio Squazzoni Member since: Sunday, November 07, 2010 Full Member

PhD. Assistant Professor of Economic Sociology

Flaminio Squazzoni is Full Professor of Sociology at the Department of Social and Political Sciences of the University of Milan and director of BEHAVE. He teaches “Sociology” to undergraduate students, “Behavioural Sociology” to master students and “Behavioural Game Theory” to PhD students. Untill November 2018, he has been Associate Professor of Economic Sociology at the Department of Economics and Management of the University of Brescia, where he led the GECS-Research Group on Experimental and Computational Sociology.

He is editor of JASSS-Journal of Artificial Societies and Social Simulation, co-editor of Sociologica -International Journal for Sociological Debate and member of the editorial boards of Research Integrity and Peer Review and Sistemi Intelligenti. He is advisory editor of the Wiley Series in Computational and Quantitative Social Science and the Springer Series in Computational Social Science and member of the advisory board of ING’s ThinkForward Initiative. He is former President of the European Social Simulation Association (Sept 2012/Sept 2016, since 2010 member of the Management Committee) and former Director of the NASP ESLS PhD Programme in Economic Sociology and Labour Studies (2015-2016).

His fields of research are behavioural sociology, economic sociology and sociology of science, with a particular interest on the effect of social norms and institutions on cooperation in decentralised, large-scale social systems. His research has a methodological focus, which lies in the intersection of experimental (lab) and computational (agent-based modelling) research.

Andrea Scalco Member since: Tuesday, February 24, 2015

Ph.D. Student

The Ph.D. research project is mainly focused on the study of the influence of emotional intelligence inside decision-making processes and on the social and emotional aspects of organizations.Furthermore, the research has taken into account the generative science paradigm: in this way, the general aim is the development of social simulations able to account organizational processes related with emotions and with the emotional intelligence from the bottom-up.

Kehinde Salau Member since: Monday, December 15, 2008

MSc. in Mathematics & Statistics, PhD. in Applied Mathematics

I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference

Christopher Watts Member since: Monday, March 14, 2011 Full Member

PhD Warwick Business School, MSc Operational Research, University of Southampton, Post-graduate Diploma in Theology, University of Cambridge, MA / BA (Hons.) Philosophy, University of Cambridge

I live near Cambridge, and recently I developed agent-based land-use models with Geography PhD students there. I also took part in the “Cybernetics and Society” seminar.

Previously, I spent three years at Ludwig-Maximillians University, Munich, working on Human-Environment Relations and Sustainability, and over two and a half years at Surrey University, working on Innovation with Nigel Gilbert in the Centre for Research in Social Simulation (CRESS). The project at Surrey resulted in a book in 2014, “Simulating Innovation: Computer-based Tools for Rethinking Innovation”. My PhD topic, modelling human agents who energise or de-energise each other in social interactions, drew upon the work of sociologist Randall Collins. My multi-disciplinary background includes degrees in Operational Research (MSc) and Philosophy (BA/MA).

I got hooked on agent-based modelling and complexity science some time around 2000, via the work of Brian Arthur, Stuart Kauffman, Robert Axelrod and Duncan Watts (no relation!).

I am an agent-based modeller specialising in Netlogo and Excel/VBA. My recent interests include Human-Environment Relations, Innovation, Collective Intelligence and Governance Systems, and the Collapse of Complex Societies.

I have a longer term aim to study the modelling of Institutions, especially the cognitive architecture for agents who can recognise, learn and innovate in institutions.

If you’re based near Cambridge and have an idea for a modelling project, for the cost of a beer/coffee I’m always willing to offer advice.

Tuong Manh Vu Member since: Wednesday, May 16, 2018

I received my BSc, MSc, and PhD from the University of Nottingham. My PhD focuses on the Agent-Based Modelling and Simulation (ABMS) of Public Goods Game (PGG) in Economics. In my thesis, a development framework was developed using software-engineering methods to provide a structured approach to the development process of agent-based social simulations. Also as a case study, the framework was used to design and implement a simulation of PGG in the continuous-time setting which is rarely considered in Economics.

In 2017, I joined international, inter-disciplinary project CASCADE (Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies) to further pursue my research interest in strategic modelling and simulation of human-centred complex systems. CASCADE, funded by the US National Institutes of Health (NIH), aims to develop agent-based models and systems-based models of the UK and US populations for the sequential and linked purposes of testing theories of alcohol use behaviors, predicting population alcohol use patterns, predicting population-level alcohol outcomes and evaluating the impacts of policy interventions on alcohol use patterns and harmful outcomes.

Morteza Mahmoudzadeh Member since: Sunday, May 10, 2015 Full Member Reviewer

Dr.

Dr. Morteza Mahmoudzadeh is an assitant professor at the University of Azad at Tabriz in the Department of Managent and the director of the Policy Modeling Research Lab. Dr. Mahmoudzadeh did a degree in Software Engineering and a PhD in System Sciences. Dr. Mahmoudzadeh currently works on different regional and national wide projects about modeling sustaiblity and resilience of industrial ecosystems, innovation networks and socio-environmental systems. He also works on hybrid models of opinion dynamics and agent based models specifically in the field of modeling customers behavior and developing managerial tools for strategic marketing policy testing. His team at Policy Modeling Research Lab. currently work on developing a web based tool with python for systems modeling using system dynamics, Messa framework for agent-based modeling and Social Networks Analysis.

Modeling Complex systems, Simulation: System Dynamics, Agent Based and Discrete Event
System and Complexity Theory

Andrew Collins Member since: Friday, April 18, 2014

MA, PhD, MSC, BA

Andrew J. Collins, Ph.D., is an assistant professor at Old Dominion University in the Department of Engineering Management and Systems Engineering. He has a Ph.D. in Operations Research from the University of Southampton, and his undergraduate degree in Mathematics was from the University of Oxford. He has published over 80 peer-review articles. He has been the Principal Investigator on projects funded to the amount of approximately $7 million. Dr. Collins has developed several research simulations including an award-winning investigation into the foreclosure contagion that incorporated social networks.

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

Ph.D., Computational Social Science, George Mason University, MBA, Georgetown University, BSc, Engineering:Physics, Murray State University

Joseph is an Intelligence Community Postdoc Fellow (ODNI/NCTC) co-located with the faculty of the Department of Computational and Data Sciences at George Mason University. Since his first day of university training at age 15 and having earned his undergraduate degree in Engineering:Physics at age 19, his 15 years of industry experience has been diverse, ranging from industrial engineering to people analytics.

Dr. Shaheen earned his doctorate in Computational Social Science from GMU with a dissertation on economic policy and population-scale data analysis of Internal Revenue Service records. There, he studied all U.S. firms from a biologically-grounded perspective under the guidance of Professor Rob Axtell’s research group.

Following his U.S. State Department-funded assignment with the NATO STRATCOM Centre of Excellence where he conducted large scale analysis and provided policy recommendations in the fight against ISIS/ISIL/Daesh, he has been a guest speaker on issues of Information and \textit{Social Media Warfare}–a term closely associated with his 2015 NATO report–at the Pentagon (J-39 SMA), NATO Defense Against Terrorism COE, National Defense University, OMCC and others.

A life-long scholar, Joe has received training from academic leaders in Social Network Analysis and has been recognized as an honorary Links Center Fellow in 2015 and by GMU’s Teaching Excellence award in 5 consecutive iterations.

He has appeared on CNN HLN, FOX NEWS, NBC News, Entrepreneur Magazine and has been invited to participate in the 2020 (postponed to 2021) Heidelberg Laureate Forum (Heidelberg, Germany) where he will spend time with fellow scholars of the mathematical and computer sciences as well as Fields Medal, Abel Prize, Turing Award, and Nevanlinna prize winners.

In his free time, Joe enjoys a sense of humor and practices portrait, landscape and wildlife photography. Even so - he admits, he has never been able to successfully take one decent photo of himself

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

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.

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