Social Innovation and Monetary Innovation. Developing Social Finance tools for social enterprises.
Currently doing Agent based model in biogy
Using the Complex System science paradigm to open new ways of assessing the Systemic Risk in Financial Systems
Agent-based computing in economics and finance
Large-scale agent-based models
Agent models calibrated by micro-data
Complex adaptive systems
Mathematical analysis of agent systems
Water resource economics, natural resource economics, environmental economics, ecological economic modeling, ecological economics, environmental policy, development economics.
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
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 co-Chair of the Development Team of the Finance and Economics Knowledge-Action Network of Future Earth (2020-2022), the largest global research programme in global change. Roger coordinated research and co-production projects above €1M, and published in top journal like PNAS, Nature Climate Change, and Nature Geoscience.
Global change, human-Earth interactions, complex systems.