Community

Abbas Mirzaei Member since: Saturday, June 17, 2017

Ph.D. student

Management of Water Resources Conflicts in Halil-Rud River Basin: Application of Integrated Economic- Hydrological- Behavioral Model

Roman Seidl Member since: Friday, September 10, 2010

Dr., Dipl.Psych.

Natural and Social Science Interface (NSSI)
http://www.nssi.ethz.ch/seidlr

Nicholas Magliocca Member since: Monday, January 31, 2011

Ph.D. in Geography and Environmental Systems, Master's in Environmental Management (M.E.M.), B.S. in Environmental Systems

My research focuses on building a systemic understanding of coupled human-natural systems. In particular, I am interested in understanding how patterns of land-use and land-cover change emerge from human alterations of natural processes and the resulting feedbacks. Study systems of interest include those undergoing agricultural to urban conversion, typically known as urban sprawl, and those in which protective measures, such as wildfire suppression or flood/storm impact controls, can lead to long-term instability.

Dynamic agent- and process-based simulation models are my primary tools for studying human and natural systems, respectively. My past work includes the creation of dynamic, process-based simulation models of the wildland fires along the urban-wildland interface (UWI), and artificial dune construction to protect coastal development along a barrier island coastline. My current research involves the testing, refinement, extension of an economic agent-based model of coupled housing and land markets (CHALMS), and a new project developing a generalized agent-based model of land-use change to explore local human-environmental interactions globally.

Samantha Dobbie Member since: Tuesday, April 30, 2013

MRes in Conservation and Utlisation of Plant Genetic Resources, BSc in Biological Sciences with Honours in Plant Sciences

Laura Merz Member since: Wednesday, May 08, 2019 Full Member

Master student in Sustainable Development at Uppsala University

Sustainable Development
Systems Analysis
System Thinking
Agent-based Modelling
Socio-technical Systems
Rethinking Economics
Social Sciences

Anh Nong Member since: Thursday, January 21, 2016

Master on Integrated Water Resources Management

Interested in IWRM approach, analyzing coupled human-water relationship, Hydrological modelling, Bayesian networks, Agent based modelling

Jacopo A. Baggio Member since: Tuesday, April 27, 2010 Full Member Reviewer

PhD in International Development, MA in Development Economics, BsC in Economics and Social Sciences

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.

Ian Stuart Member since: Saturday, January 09, 2021 Full Member

I have only just started becoming active in research/agent based modeling.

I find agent based computational economics interesting. I would also be interested in combining agent based modeling to explore cultural anthropology, government policies, socioeconomic stratification, and the diffusion of information.

Volker Grimm Member since: Wednesday, July 18, 2007 Full Member Reviewer

Volker Grimm currently works at the Department of Ecological Modelling, Helmholtz-Zentrum für Umweltforschung. Volker does research in ecology and biodiversity research.

How to model it: Ecological models, in particular simulation models, often seem to be formulated ad hoc and only poorly analysed. I am therefore interested in strategies and methods for making ecological modelling more coherent and efficient. The ultimate aim is to develop preditive models that provide mechanstic understanding of ecological systems and that are transparent and structurally realistic enough to support environmental decision making.

Pattern-oriented modelling: This is a general strategy of using multiple patterns observed in real systems as multiple criteria for chosing model structure, selecting among alternative submodels, and inversely determining entire sets of unknown model parameters.

Individual-based and agent-based modelling: For many, if not most, ecological questions individual-level aspects can be decisive for explaining system-level behavior. IBM/ABMs allow to represent individual heterogeneity, local interactions, and/or adaptive behaviour

Ecological theory and concepts: I am particularly interested in exploring stability properties like resilience and persistence.

Modelling for ecological applications: Pattern-oriented modelling allows to develop structurally realistic models, which can be used to support decision making and the management of biodiversity and natural resources. Currently, I am involved in the EU project CREAM, where a suite of population models is developed for pesticide risk assessment.

Standards for model communication and formulation: In 2006, we published a general protocol for describing individual- and agent-based models, called the ODD protocol (Overview, Design concepts, details). ODD turned out to be more useful (and needed) than we expected.

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