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My research focuses on using generic social science in creating models of social reality, in particular self-organization of social systems.
I am a multidisciplinary researcher (PhD Candidate) at the University of Helsinki. My research interests include sustainable behaviour change, ecological psychology, cognitive science and cultural evolution. I have a soft spot for complex systems and philosophy of science.
Ecological Psychology
Environmental Policy
Philosophy of Science
Cognitive Science
Ecological Rationality
Science & Society
Complex Systems
Agent-Based Modeling
Dr. Roger Cremades is a complex systems scientist and heterodox global change economist integrating human-Earth interactions across systems and scales into modular quantitative tools, e.g. connecting drought risks in cities with land use at the river basin scale. He is elected Council member of the Complex Systems Society (2022-2025) and previously served as co-Chair of the Development Team of the Finance and Economics Knowledge-Action Network of Future Earth, the largest global research programme in global change (2020-2022). Roger coordinated research and co-production projects above €1M, and published in top journal like PNAS, Nature Climate Change, and Nature Geoscience. As a scientific modeler in the Social and Ecological Sciences, Roger integrates complex systems concepts into integrated assessment models of global change, with a focus on cities.
The future of CoMSES.Net, in Roger’s vision, is to augment its projection into a hub for discussing state-of-the-art approaches on modeling for the Social and Ecological Sciences, e.g. via bi-annual webinars, so that the Model Library becomes a lighthouse from where all communities developing, sharing, using, and reusing agent-based and other computational models also find valuable discussions to advance their research, education, and computational practice.
Global change, human-Earth interactions, complex systems.
I use agent-based systems, stochastic process, mass balance models and computational statistics in exploring human exposure assessment.
My main research interests are agent-based modeling, simulation of social complexity, computational social choice, distributed systems and applied artificial intelligence.
Agent Based Modeling (ABM), Agent Based Social System (ABSS), Multi-Agent Systems (MAS), Bayesian learning, Social networks Analysis (SNA), Socio ecological Dynamics.
Leader development, leading complex systems, agent-based modeling, experiential learning, innovations in online education
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