Community

Claudia Binder Member since: Monday, June 09, 2014

Human-Environment relations
socio-ecological systems
Transitions
Simulation modeling

rbandin Member since: Sunday, February 12, 2012

Master in Fisheries Science, Licensed in Biological Sciences

Modelling of socio-ecological systems and management of common property resources in artisanal fisheries. Population dynamics of coastal marine invertebrates exploited by artisanal fisheries.

tamjorge0 Member since: Friday, February 10, 2012

Ph.D.

Aquatic ecology, Socio-ecological fisheries systems

Szymon Talaga Member since: Tuesday, July 16, 2019 Full Member

MSc Psychology

PhD student in The Robert Zajonc Institute for Social Studies at the University of Warsaw.

network science; social networks; sociology; complex systems; ecological psychology; cognitive science; perception and action

Gunnar Dressler Member since: Monday, February 22, 2016 Full Member Reviewer

PhD Applied Systems Science, Dipl. Biomathematics
  • since April 2017: PostDoc at the Department of Ecological Modeling, Helmholtz-Centre for Environmental Research - UFZ
  • since January 2015: Member of the Junior Research Group POLISES - Global food security policies and their social-ecological side effects in regions prone to global change.
  • 2012-2017 PhD student at the Department of Ecological Modeling, Helmholtz-Centre for Environmental Research - UFZ
  • 2006-2011 Diploma in Biomathematics, Ernst-Moritz-Arndt-University of Greifswald
  1. Dynamics of socio-ecological resource use systems
    • Pasture use in dryland grazing systems under change, effects of new technologies and policy instruments, emergence of polarization between pastoralists (e.g. in terms of livestock numbers).
    • Thresholds of disaster management performance under change, loss of manpower, the role of information as critical resource.
  2. Human decision making in agent-based models.
  3. Remote sensing and GIS.

Jonathan Gillligan Member since: Friday, June 16, 2017 Full Member Reviewer

Ph.D. Yale University (Physics) 1991

Integrating social and natural science to study coupled human-natural systems, and particularly the interactions of society with the physical environment under conditions of environmental stress.

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.

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.

leonardo.rzoya Member since: Monday, May 28, 2012

BSc in Political Science, PhD Student in Sociology

My field of interests concerns two axes:
First, epistemology of computational modeling and simulation of complex systems. I am particularly interested in a sociological inquiry about social implication of knowledge derived from complex systems’ study.
Second, assessing the possibilities and limits of studying social complexity with complex systems tools, particularly, agent-based modeling and simulation.

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