Thushara Gunda Member since: Tuesday, January 10, 2017

My research is focused on the security of water, food, and energy resources as well as natural resources planning and managaement. A lot of my work involves the integration of physical and social science research.

Rosemary Pepys Member since: Thursday, November 14, 2019

PhD, University College London, MSc, University College London, BA (Hons), Oxford University

I obtained my undergraduate degree in Mathematics at Worcester College, Oxford University. I then worked for 9 years for the UK government before returning to university to study for a MSc and PhD at UCL. On leaving UCL I started working in the insurance industry, where I develop models of cyber catastrophe events.

Key research interests are how to build models of complex human behaviour.
My PhD research project was focussed on building a model of the process by which people develop the propensity to commit acts of crime or terrorism, from which came a computer simulation of the radicalisation process.
My current research interest is on creating models of cyber threats.

Giovanna Sissa Member since: Thursday, January 05, 2012 Full Member Reviewer

PhD in Computer Science

Agent Based Modelling of energy consumer’s awareness diffusion. Role of smart metering in energy consumption. Social norm as limiting factor against rebound effects. Role of behavioral changes in energy efficiency.

Carlos M Fernández-Márquez Member since: Friday, May 17, 2013

Ph.D., Economics, Universidad Autonoma de Madrid, Degree in Economics, Degree in Computer Science

ABM applied to socio-economic systems: opinion evolution, industry dynamics, spatial models of voting, diffusion of innovations, macroeconomic with microfoundations, etc.

Sara Mcphee-Knowles Member since: Wednesday, March 05, 2014

PhD Candidate, Public Policy, Bachelor of Arts in Public Administration, 2009

My dissertation research at the Johnson-Shoyama Graduate School of Public Policy focuses on food safety and consumer choices, using agent-based models as a novel method for investigating this policy space.

Federico Bianchi Member since: Monday, April 14, 2014 Full Member

Ph.D., Economic Sociology and Labour Studies, University of Milan - University of Brescia (Italy), M.A., Sociology, University of Turin (Italy), B.A., Philosophy, University of Milan (Italy)

Boyan Vassilev Member since: Friday, August 26, 2016


I’m a trained philosopher, but, besides conceptual problems, I care for conclusions based on systematic observations and I also care for the applicability of those conclusions. One might say that I wish I were a behavioral economist, or maybe an ethologist/behavioral ecologist.

John Murphy Member since: Wednesday, August 31, 2011 Full Member Reviewer

PhD. Anthropology, University of Arizona (2009), MA Education, Ohio State University (1993)

My research uses modeling to understand complex coupled human and natural systems, and can be generally described as computational social science. I am especially interested in modeling water management systems, in both archaeological and contemporary contexts. I have previously developed a framework for modeling general archaeological complex systems, and applied this to the specific case of the Hohokam in southern Arizona. I am currently engaged in research in data mining to understand contemporary water management strategies in the U.S. southwest and in several locations in Alaska. I am also a developer for the Repast HPC toolkit, an agent-based modeling toolkit specifically for high-performance computing platforms, and maintain an interest in the philosophy of science underlying our use of models as a means to approach complex systems. I am currently serving as Communications Officer for the Computational Social Science Society of the Americas.

Lisa Frazier Member since: Thursday, October 08, 2015

MPH, PhD Candidate

My research interests include policy informatics and decision making, modeling in policy analysis and management decisions, public health management and policy, and the role of public value in policy development. I am particularly interested in less mainstream approaches to modeling that account for learning, feedback, and other systems dynamics. I include Bayesian inference, agent-based models, and behavioral assumptions in both my research and teaching.
In my dissertation research, I conceptualize state Medicaid programs as complex adaptive systems characterized by diverse actors, behaviors, relationships, and objectives. These systems reproduce themselves through both strategic and emergent mechanisms of program management. I focus on the mechanism by which citizens are sorted into or out of the system: program enrollment. Using Bayesian regression and agent-based models, I explore the role of administrative practices (such as presumptive eligibility and longer continuous eligibility periods) in increasing enrollment of eligible citizens into Medicaid programs.

Amineh Ghorbani Member since: Tuesday, August 20, 2019 Full Member

Amineh Ghorbani is an assistant professor at the Engineering Systems and Services Department, Delft University of Technology, the Netherlands. She is also an affiliated member of the “Institutions for Collective Action” at Utrecht University. She obtained her M.Sc. in Computer Science (Artificial intelligence) from University of Tehran (Iran) (2009, honours) and her PhD from Delft University of Technology (2013, cum laude).

During her PhD, Amineh developed a meta-model for agent-based modelling, called MAIA, which describes various concepts and relations in a socio-technical system. This modelling perspective helped her develop a modelling paradigm that she refers to as institutional modelling.

Her current area of research is understanding the emergence and dynamics of institutions (set of rule organizing human society) using modelling. She is interested in how bottom-up collective action emerges and how institutions emergence and change within communities.

collective action
institutional emergence
evolution of institutions
community energy systems

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