Community

S Gym Member since: Wednesday, March 09, 2016

Compuer Engineer, Master in Computer Science Student

This paper investigates how collective action is affected when the interaction is driven by the underlying hierarchical structure of an organization, e.g., a company. The performance of collection action is measured as the rate of contribution to a public good, e.g., an organization’s objective.

Francisco J. León-Medina Member since: Tuesday, June 05, 2018

Analytical Sociology; Social Mechanisms; ABMs; Opinion Dynamics

Reinier Van Der Veen Member since: Wednesday, August 26, 2015

MSc., PhD

Researcher in sustainable production and consumption, the service economy, energy markets, and electricity balancing mechanisms.

John Bradford Member since: Tuesday, November 04, 2014

Ph.D. Sociology, University of Tennessee

Currently working on agent-based modeling of wealth and income distributions; formalizing some of Luhmann’s theories of communication; modeling social norms; and modeling generative mechanisms of status hierarchies.

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.

Harsha Krishna Member since: Tuesday, July 10, 2018 Full Member

I develop simulation tools for generating what-if scenarios for decision making. I predominantly use Agent-Based Modelling (ABM) technique as most of my simulations model complex systems. In some cases, I have extended existing tools with modifications to model the given system. Although the tools are meant for research purposes, I have followed industry friendly delivery mechanisms, such as unit-tests, autmated builds and delivery on cloud platforms.

  • Agent-Based Modelling
  • Complex Social Systems
  • Gaming-Simulations

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.

Oscar Montes De Oca Member since: Monday, September 09, 2013 Full Member Reviewer

Masters of Applied Science, Massey University, New Zealand, Diploma in Manufacturing, ITESM, Mexico, Bachelors in Industrial Engineering, ITESM, Mexico

I have developed several agent-based and cellular automata applications combining agent-based modelling, geographical information systems and visualisation to understand the complex mechanisms of decision making in land use change and environmental stewardship in order to analyse:
• the role of pastoral agriculture in regional development,
• the tradeoffs between land use intensification and water quality,
• the adoption of land-based climate change mitigation practices, and
• the incorporation of cultural values into spatial futures or scenario modelling.

Audrey Lustig Member since: Thursday, July 18, 2013

PhD Candidate - Ecological Modelling and complex system - Lincoln University, New Zealand, Master's in computer science and modelling complex systems - ENS Lyon, France, Bioinformatics and Modeling Engineering - INSA Lyon, France

I am strongly interested in ecological modeling and complex system and truly enjoyed working with a variety of tools to uncover patterns in empirical data and explore their ecological and evolutionary consequences. My primary research is to conduct research in the field of ‘ecological complexity’, including the development of appropriate descriptive measure to quantify the structural, spatial and temporal complexity of ecosystem and the identification of the mechanism that generate this complexity, through modeling and field studies.
Currently investigated is how biological characteristics of invasive species (dispersal strategies and demographic processes) interact with abiotic variables and resource distribution to determine establishment success and spread in a complex heterogeneous environment (Individual based modelling integrated with GIS technologies).

Corinna Elsenbroich Member since: Wednesday, January 18, 2017

PhD Computer Science

Corinna is a lecturer in the Department of Sociology. She joined the Centre for Research in Social Simulation at the in August 2008 as a Research Fellow. Her academic background is in Philosophy (LSE, BSc MSc) and Computer Science (KCL,PhD), where her PhD Instinct for Detection developed a logic for abductive reasoning.

Currently Corinna is the PI on an AHRC Research Grant on collective reasoning in agent-based modelling, titled Collective Reasoning as a Moral Point of View. Her research interests are decision mechanisms, in particular collective decision-making, context dependency of decisions and methodological and epistemological aspects of agent-based modelling and social simulation. She has applied collective decision making to the analysis to the weakening of the Mafia in Southern Italy within the GLODERS project and published a book Modelling Norms, co-authored with Nigel Gilbert, providing a systematic analysis of the contribution of agent-based modelling to the study of social norms and deviant behaviour. Recently Corinna has been developing a teaching stream within CRESS with a periodically running short course Agent-based Modelling for the Social Scientist and the MSc Social Science and Complexity.

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.