Community

Leticia Lima Member since: Friday, October 31, 2014

Master in Environmental Systems Analysis and Modelling, Environmental Engineer

Christian Reynolds Member since: Friday, May 20, 2016

PhD Applied Math

Christian Reynolds is a Public Health Research Fellow at the Rowett Institute of Nutrition and Health, University of Aberdeen, and an adjunct Research Fellow at the Barbara Hardy Institute for Sustainable Environments and Technologies, University of South Australia. Christian’s research examines the economic and environmental impacts of food consumption; with focus upon food waste, sustainable diets, and the political power of food in international relations.
Christian has experience in economic input-output, material flow and environmental (Life Cycle Analysis) modelling and has published peer reviewed articles on these topics.

Hang Xiong Member since: Tuesday, February 14, 2012 Full Member

PhD

Research fellow at the Agricultural Economics and Policy Group at ETH Zurich.

Malik Koné Member since: Thursday, January 21, 2016

Master in mathematics and didactics

Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.

Irendra Radjawali Member since: Monday, February 06, 2012 Full Member Reviewer

Ph.D candidate at The Faculty of Social Sciences, University of Bremen, Germany, Master of Urban and Regional Planning, Institute Technology Bandung, Indonesia

My interests is always on the dynamic interactions of human and their habitat (nature/built environment, etc.). At the moment my researches focus on the political-ecology analysis of human-nature interactions and social-ecological systems analysis. I am interested in using Agent-Based Model to support my works. I have been using ABM for quite some years, although not putting too much focus on it at the moment.

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.

Hugh McFarlane Member since: Saturday, March 21, 2020 Full Member

Ph.D., Computational Social Science, George Mason University, M.S., Conflict Analysis and Resolution, George Mason University, B.S., Electrical Engineering, University of Maryland, B.S., Political Science, U.S. Naval Academy

Timothy Dennehy Member since: Monday, March 11, 2013

BA Psychology, MA Anthropology

Prehistoric archaeology of hunter-gatherer societies in Mesoamerica and American Southeast; comparative analysis of urban form and service provision; social inequality; complex adaptive systems; cultural evolution.

Arika Ligmann-Zielinska Member since: Tuesday, April 08, 2008 Full Member Reviewer

PhD

I am a spatial (GIS) agent-based modeler i.e. modeler that simulates the impact of various individual decisions on the environment. My work is mainly methodological i.e. I develop tools that make agent-based modeling (ABM) easier to do. I especially focus on developing tools that allow for evaluating various uncertainties in ABM. One of these uncertainties are the ways of quantifying agent decisions (i.e. the algorithmic representation of agent decision rules) for example to address the question of “How do the agents decide whether to grow crops or rather put land to fallow?”. One of the methods I developed focuses on representing residential developers’ risk perception for example to answer the question: “to what extent is the developer risk-taking and would be willing to build new houses targeted at high-income families (small market but big return on investment)?”. Other ABM uncertainties that I evaluate are various spatial inputs (e.g. different representations of soil erosion, different maps of environmental benefits from land conservation) and various demographics (i.e. are retired farmers more willing to put land to conservation?). The tools I develop are mostly used in (spatial) sensitivity analysis of ABM (quantitative, qualitative, and visual).

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.