Community

johnrylelawson Member since: Friday, June 20, 2008

Simon Johanning Member since: Monday, July 17, 2017

BMus Composition & Music Technology, MA DDC: Music Technology

IRPact - An integrated agent based modeling approach in innovation diffusion

Goal: The goal of IRPact is to develop a flexible and generic innovation-diffusion ABM (agent-based modelling) framework, based on requirements derived from a literature analysis. The aim of IRPact is to allow for modeling a large number of application contexts and questions of interest.
It provides a formal model (framework) as well as a software implementation in order to assist modelers with a basic infrastructure for their own research.
Conceptually it is thought to be part of the IRPsim (https://irpsim.uni-leipzig.de), with the vision to bring together rational approaches and cognitive modeling in an integrated approach within the context of sustainable energy markets.

Roy Wilson Member since: Thursday, March 24, 2016

PhD Social and Comparative Analysis in Education, MS History and Policy, MH Humanities, MS Computer Science, MA Mathematics, BA Mathematics and Philosophy

I am interested in the study of small-group decision-making using agent-based simulation of models grounded in sociological social psychology. I am also interested in a particular kind of small-group decision-making: peer review.

Michael Potthoff Member since: Wednesday, March 02, 2016

Dr.rer.nat., Dipl.Biol.

Nanda Wijermans Member since: Monday, October 11, 2010 Full Member Reviewer

In my research I focus on understanding human behaviour in group(s) as a part of a complex (social) system. My research can be characterised by the overall question: ‘How does group or collective behaviour arise or change given its social and physical context?‘ More specifically, I have engaged with: ‘How is (individual) human behaviour affected by being in a crowd?’, ‘Why do some groups (cooperatively) use their resources sustainably, whereas others do not?‘, ‘What is the role of (often implicit simplistic) assumptions regarding human behaviour for science and/or management?’

To address these questions, I use computational simulations to integrate and reflect synthesised knowledge from literature, empirics and experts. Models, simulation and data analysis are my tools for gaining a deeper understanding of the mechanisms underlying such systems. More specifically, I work with agent-based modelling (ABM), simulation experiments and data analysis of large datasets. Apart from crowd modelling and social-ecological modelling, I also develop methodological tools to analyse social simulation data and combining ABM with other methods, such as behavioural experiments.

Mitali Yeshwant Joshi Member since: Monday, December 16, 2019 Full Member

Doctoral Fellow at LEMA research group, Urban and Environmental Engineering (UEE), University of Liege

Simon Briner Member since: Monday, January 30, 2012

MSc ETH in Agroecosystem Science

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

PhD

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

Phil Riris Member since: Wednesday, May 01, 2013 Full Member Reviewer

BA Archaeology, MA Archaeology, PhD Archaeology (in progress)
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