Peter Gerbrands is a Researcher at the of Utrecht University School of Economics, where is develops the data infrastructure FIRMBACKBONE. He teaches data science courses and econometrics as well as supervising bachelor, master, and Ph.D. theses. 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 the Fall of 2023, he was a Visiting Research Scholar at SUNY Binghamton in NY.

I am an Assistant Professor at the School of Computer Science, University of Nottingham, UK.

I am a computational archaeologist and Professor of Anthropology at San Diego State University, where I direct the Computational Archaeology Laboratory. My research integrates geospatial analysis, agent-based and simulation modeling, and complex adaptive systems theory to investigate long-term human–environment interactions, with particular attention to socio-environmental change associated with early farming and herding in Mediterranean and other semi-arid landscapes. I have conducted field and modeling research in regions including Italy, Jordan, and Central Asia, and my work spans landscape archaeology, land-use dynamics, and environmental modeling. I have been a member of the CoMSES community for well over a decade and have contributed multiple models to the Computational Model Library, several of which have undergone formal peer review. In addition to research, I regularly teach with agent-based models at undergraduate and graduate levels and use CoMSES models as both research and pedagogical resources. I am committed to open, reproducible, and theoretically informed computational modeling and to strengthening the role of peer-reviewed models as durable scholarly contributions.

RN [Mental Health & General], Community Mental Health Nurse (Cert.)
PG Cert. Ed
BA(Joint Hons.) Computing and Philosophy
PG(Dip.) Collaboration on Psychosocial Education [COPE]
MRES. e-Research and Technology Enhanced Learning

Social scientist based in Milan, Italy. Post-doctoral researcher in Sociology at the Department of Social and Political Sciences of the University of Milan (Italy), member of the Behave Lab. Adjunct professor of Social Network Analysis at the Graduate School in Social and Political Sciences of the University of Milan.

Andrew J. Collins, Ph.D., is an associate professor at Old Dominion University in the Department of Engineering Management and Systems Engineering. He has a Ph.D. in Operations Research from the University of Southampton, and his undergraduate degree in Mathematics was from the University of Oxford. He has published over 80 peer-review articles. He has been the Principal Investigator on projects funded to the amount of approximately $5 million. Dr. Collins has developed several research simulations including an award-winning investigation into the foreclosure contagion that incorporated social networks.

I have a strong background in building and incorporating agent-based simulations for learning. Throughout my graduate career, I have worked at the Center for Connected Learning and Computer Based Modeling (CCL), developing modeling and simulation tools for learning. In particular, we develop NetLogo, the gold standard agent-based modeling environment for learners around the world. In my dissertation work, I marry biology and computer science to teach the emergent principles of ant colonies foraging for food and expanding. The work builds on more than a decade of experience in ABM. I now work at the Center for the Science and the Schools as an Assistant Professor. We delivered a curriculum to teach about COVID-19, where I incorporated ABMs into the curriculum.

You can keep up with my work at my webpage: https://kitcmartin.com