Community

Geo Kocheril Member since: Tuesday, October 01, 2019

Research fellow, PhD Candidate (University of Kassel)

Energy system transiton modelling * stakeholder and market modelling, governance and policy modelling, * agent-based modelling (ABM), optimisation, * model coupling, open and integrative modelling framework, * open source, S4F

Javed Ali Member since: Monday, December 17, 2018 Full Member

Flood Risk Management, Coupled Human-Natural System Modelling, Socio-hydrological Modelling, Agent-Based Modelling, Human Behaviour Modelling, Agent-Based Social Simulation, Hydrological and Hydraulic Modeling, Geographic Information Systems (GIS), Mapping, Risk Modelling and Risk Visualization, Disaster Risk Reduction

Geerten Hengeveld Member since: Thursday, January 24, 2019 Full Member

Wageningen University & Research
Currently researcher modelling at Biometris, Wageningen University & Research

modelling,
ecology, foraging, forestry, forest management, water management
scenario analysis
agent based modelling
individual based modelling
model quality, model evaluation, model governance

emaille Member since: Friday, February 03, 2012

Ph D.

Land cover changes spatial agents based modelling
Forest fire risk modelling
Geographical information based modelling
Decision support for land planning

Thomas Clemen Member since: Tuesday, September 17, 2019 Full Member

Diploma in Computer Science, Technical University of Dortmund, Germany, Dr. rer. nat. in Computer Science, Christian-Albrechts University, Kiel, Germany

social-ecological modelling; cognitive modelling; agent-based modeling&simulation; data science; smart city modelling; artificial intelligence; large-scale simulation

Amineh Ghorbani Member since: Tuesday, August 20, 2019 Full Member

Amineh Ghorbani is an assistant professor at the Engineering Systems and Services Department, Delft University of Technology, the Netherlands. She is also an affiliated member of the “Institutions for Collective Action” at Utrecht University. She obtained her M.Sc. in Computer Science (Artificial intelligence) from University of Tehran (Iran) (2009, honours) and her PhD from Delft University of Technology (2013, cum laude).

During her PhD, Amineh developed a meta-model for agent-based modelling, called MAIA, which describes various concepts and relations in a socio-technical system. This modelling perspective helped her develop a modelling paradigm that she refers to as institutional modelling.

Her current area of research is understanding the emergence and dynamics of institutions (set of rule organizing human society) using modelling. She is interested in how bottom-up collective action emerges and how institutions emergence and change within communities.

collective action
institutional emergence
evolution of institutions
community energy systems

Andrea Chareunsy Member since: Monday, January 22, 2018

PhD (Economics)

Poverty and sustainability
Development economics
Ecological economics
Agent Based Modelling
Southeast Asian economies

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

Carole Adam Member since: Friday, February 03, 2017

PhD in Artificial Intelligence

Improving agent models and architectures for agent-based modelling and simulation applied to crisis management. In particular modelling of BDI agents, emotions, cognitive biases, social attachment, etc.

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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