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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
Jorge is a PhD candidate of System Design Engineering at the University of Waterloo. His research activities are focused on applying agent-based models on three major areas: 1) financial markets to study the self-regulation capability of artificial markets with interacting investors and credit rating agencies; 2) the efficiency of road networks when users have access to real-time information and are able to adjust their behavior to current conditions; 3) failure probability of nuclear waste containers due to microbial- and chemical-driven corrosion.
I have been involved in agent-based modelling since the early nineties with a consistent attention to methdological improvement, institutional development and empirical issues. My mission is that ABM should be a routinely accepted research method (with a robust methodology) across the social sciences. To this end I have built diverse models and participated in research projects across economics, law, medicine, psychology, anthropology and sociology. I took a DPhil in economics on adaptive firm behaviour and then was involved in two research projects on money management and farmer decision making. Since 2006 I have worked at the Department of Sociology (now the School of Media, Communication and Sociology) at the University of Leicester. I was involved in the founding of JASSS and (more recently RofASSS https://rofasss.org) and have regularly served on the review panels for international conferences in the ABM community.
Decision making, research design and research methods, social networks, innovation diffusion, secondhand markets.
Continuous double auction markets; call auction; alternative market structures
My main interests are system dynamics and multi agent simulation used for support of business and marketing decisions (e.g. modeling of consumer markets) and in business education (e.g. development of open source business simulators). Amongst my other interests are applied marketing research, relationships between academia and industry, financial literacy, mind and concept mapping.
After graduating at the faculty of Industrial Design Engineering at TU Delft, Kasper Lange started working as a Research and Development Engineer in the manufacturing Industry. After a couple of years he decided to dedicate his career to Sustainable Engineering research and education at the Amsterdam University of Applied Sciences (AUAS). In 2015 he received a scholarship from AUAS to start a PhD research project on Design Research for Industrial Symbiosis in Urban Agriculture. Since march 2017, the project is also financed by The Netherlands Organisation for Scientific Research (NWO, project number 023.009.037)
Agent-based modeling, Participatory modeling, Socio-technical systems, Complexity, Sustainability, Circular Economy, Design Science, Action research.
Our overriding approach has been to advance the state-of-the-art in conducting large-scale simulation studies, by developing and disseminating experimental designs that facilitate the exploration of complex simulation models
Three fields interest me in research: the study of market from a behavioral point of view, focusing on loyalty, trust, quality convention; then the study of institutions, their dynamics and the predictions/diagnostics that can be made following Ostrom’s IAD framework; eventually discussions on epistemology and validation about ABM.
I am a Ph.D. candidate in Computational Social Science (CSS) program at George Mason (GMU). I hold a MAIS from GMU and a Bachelor of Economics from the University of Tasmania. My research interests are the application of ABMs, network analysis, and machine learning to financial markets. My email address and website is [email protected] and www.aussiecas.com
I am interested in using agent-based model to understand the behavior of financial markets