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Aaron Bramson Member since: Tue, Jul 01, 2014 at 12:36 PM Full Member

Ph.D. Philosophy and Political Science, University of Michigan, M.S. Mathematics, Northeastern University, B.S. Economics, University of Florida, B.A. Philosophy, University of Florida

Dr. Aaron Bramson is principal investigator of the AI Strategy Center of GA technologies in Tokyo, Japan, as well as an Affiliate Researcher in the Department of General Economics of Ghent University in Belgium. His research specialty is complexity science, especially methodologies for modeling complex systems. Research topics span across disciplines: measures of polarization and diversity, belief measure interoperability, integrating geospatial and network analyses for measuring walkability and neighborhood identification, and myriad applications in artificial intelligence and data visualization. He received his Ph.D. from the University of Michigan in a joint program with the departments of Political Science and Philosophy as well as an M.S. in Mathematics from Northeastern University.

Complex systems, agent-based modeling, social simulation, computational models, network models, network theory, methodology, philosophy of science, ontology, epistemology, ethics, artificial intelligence, big data analysis, geospatial data analysis,

Uzair Ahmad Member since: Thu, Feb 26, 2015 at 09:35 AM

PhD, MIT

Complex Adaptive Systems, Data Analytics and Visualization

Javed Ali Member since: Mon, Dec 17, 2018 at 03:24 PM 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

Eric Boria Member since: Sat, Mar 21, 2020 at 01:40 AM Full Member

Ph.D. Sociology, Master in Urban Planning and Policy, B.A. Biology and Sociology

Eric has graduate degrees in urban planning and policy and sociology and an undergraduate degree in biology. He has worked on multiple collaborative and interdisciplinary projects and is skilled at engaging communities and other stakeholders. He is adept at qualitative research and has earned a Certificate in Geospatial Analysis and Visualization, demonstrating proficiency in Adobe Suite, ArcGIS, agent-based modeling and system dynamics modeling. He is currently writing manuscripts for publication based on his work on motivating energy retrofit decisions, energy-related urban planning, municipal decision-making on infrastructure investments, and other work on resilience and sustainability.

Conducts urban planning and policy research on energy efficiency, environmental, and infrastructure decision making.

Peter Gerbrands Member since: Fri, May 08, 2020 at 08:08 PM Full Member

Peter Gerbrands is a Post-Doctoral Researcher at the of Utrecht University School of Economics, where is develops the data infrastructure for FIRMBACKBONE. He teaches data science courses: “Applied Data Analysis and Visualization” and “Introduction to R”. His research interests are agent-based simulations, social network analysis, complex systems, big data analysis, statistical learning, and computational social science. He applies his skills primarily for policy analysis, especially related to illicit financial flows, i.e. tax evasion, tax avoidance and money laundering and has published in Regulation & Governance, and EPJ Data Science. Prior to becoming an academic, Peter had a long career in IT consulting. In Fall 2023, he is a Visiting Research Scholar at SUNY Binghamton in NY.

agent-based simulations
social network analysis
complex systems
big data analysis
statistical learning
computational social science

Scott Heckbert Member since: Fri, Dec 04, 2009 at 11:18 AM

Scott Heckbert (PhD 2010) is the Principal Environmental Scientist at the Alberta Energy Regulator, and an Adjunct Professor at University of Alberta and University of Lethbridge, Canada. Scott’s area of specialization is combining agent-based models, GIS, and 3D visualization. These technologies are used as digital laboratories where scientists, decision makers, and stakeholders can interact for improved understanding of complex social-environmental systems.

Environmental impact, hydrology, land use change, digital twinning, experimental economics, GIS, 3D, agent-based models.

C Michael Barton Member since: Thu, May 10, 2007 at 05:12 AM Full Member Reviewer

PhD University of Arizona (Anthropology/Geosciences), MA University of Arizona (Anthropology/Geosciences), BA University of Kansas (Anthropology)

Professor, School of Human Evolution & Social Change
Professor, School of Complex Adaptive Systems
Affiliate Professor, School of Earth and Space Exploration
Arizona State University

My interests center around long-term human ecology and landscape dynamics with ongoing projects in the Mediterranean (late Pleistocene through mid-Holocene) and recent work in the American Southwest (Holocene-Archaic). I’ve done fieldwork in Spain, Bosnia, and various locales in North America and have expertise in hunter/gatherer and early farming societies, geoarchaeology, lithic technology, and evolutionary theory, with an emphasis on human/environmental interaction, landscape dynamics, and techno-economic change.

Quantitative methods are critical to archaeological research, and socioecological sciences in general. They are an important focus of my research, especially emphasizing dynamic modeling, spatial technologies (including GIS and remote sensing), statistical analysis, and visualization. I am a member of the open source GRASS GIS international development team that is making cutting edge spatial technologies available to researchers and students around the world.

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