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).

Chris Bone Member since: Thursday, July 16, 2015 Full Member Reviewer

BA, Environmental Studies, University of Toronto

Research focuses on the coupled dynamics of human and natural systems, specifically in the context of forest dynamics. I utilize a variety of modeling and analysis techniques, including agent-based modeling, cellular automata, machine learning and various spatial statistics and GIS-related methods. I am currently involved in projects that investigate the anthropogenic and biological drivers behind native and invasive forest pathogens and insects.

Enrico Crema Member since: Monday, November 30, 2009 Full Member Reviewer

PhD in Archaeology, MSc in GIS and Spatial Analysis in Archaeology, BA hons. (Laurea Magistrale) in Palaeoethnology

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


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).

didiergl Member since: Tuesday, March 13, 2012

PhD in Statistics, MSc in Computing Science

Didier’s Research:
are related to interoperability and conflation models in geospatial analysis and integrated modelling applications, particularly in the context of spatial data infrastructures such as GEOSS. This translates to a focus on geospatial statistics, geospatial patterns, outbreak detection and geospatial data mining in general, but also to data quality and uncertainty propagation principles in relation to geoworkflows connected to/using web services. Didier’s research centres on environmental agro-ecological geospatial models, and public health and spatial epidemiology applications. (see website)

Tika Adhikari Member since: Friday, January 20, 2012 Full Member Reviewer

Ph D, Student

Development of spatial agent-based models to sustainability science and ecosystem service assessment, integration of agent-based model with biophysical process based model, improvement of theory of GIScience and land use change science, development of spatial analytical approach (all varieties of spatial regression), spatial data modeling including data mining, linking processes such as climate change, market, and policy to study patterns.

Jeon-Young Kang Member since: Wednesday, April 24, 2019 Full Member

Postdoctoral Research Associate at the CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign

  • Validation
  • Sensitivity Analysis
  • Calibration
  • Infectious disease (dengue virus, influenza, diarrheal-causing disease)

Andrew Crooks Member since: Monday, February 09, 2009 Full Member

Andrew Crooks is an Associate Professor with a joint appointment between the Computational Social Science Program within the Department of Computational and Data Sciences and the Department of Geography and GeoInformation Science, which are part of the College of Science at George Mason University. His areas of expertise specifically relate to integrating agent-based modeling (ABM) and geographic information systems (GIS) to explore human behavior. Moreover, his research focuses on exploring and understanding the natural and socio-economic environments specifically urban areas using GIS, spatial analysis, social network analysis (SNA), Web 2.0 technologies and ABM methodologies.

GIS, Agent-based modeling, social network analysis

Colin Wren Member since: Tuesday, April 16, 2013 Full Member

B.A., Anthropology, McGill University, M.Sc., GIS and Spatial Analysis in Archaeology, University College London, Ph.D., Archaeology, McGill University

Arend Ligtenberg Member since: Thursday, April 09, 2015


Agent Based Modelling for spatial systems

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