Kit Martin Member since: Thursday, January 15, 2015 Full Member

B.A. History, Bard College, M.A. International Development Practice Humphrey School of Public Affairs, PhD. Northwestern, Learning Sciences

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:

Studying the negative externalities of networks, and the ways in which those negatives feedback and support the continuities.

Kehinde Salau Member since: Monday, December 15, 2008

MSc. in Mathematics & Statistics, PhD. in Applied Mathematics

I study small- and large-scale sustainable resource management using a variety of techniques including mathematical modeling, agent-based simulation, and Statistical Inference

Shah Jamal Alam Member since: Wednesday, July 16, 2008 Full Member Reviewer

PhD in Social Simulation, Masters in Computer Science, BS in Computer Science

My current interests include: agent-based modeling, simulating social complexity, land use, dynamic networks, social and cultural anthropology, HIV transmission dynamics, socio-political conflicts and social movements

Peter Hayes Member since: Wednesday, January 04, 2012

BS Electrical Engineering, MS Environmental Studies, MA Economics, PhD Computational Resource Economics (interdisciplinary - in process)

I am investigating the use of machine learning techniques in non-stationary modeling environments to better reproduce aspects of human learning and decision-making in human-natural system simulations.

Furkan Gürsoy Member since: Thursday, August 02, 2018 Full Member

Ph.D., Management Information Systems, Boğaziçi University, M.Sc., Data Science, Istanbul Şehir University, B.Sc., Management Information Systems, Boğaziçi University

Furkan Gürsoy received the BS in Management Information Systems from Boğaziçi University, Turkey, and the MS in Data Science from İstanbul Şehir University, Turkey. He is currently a PhD Candidate at Boğaziçi University. He previously worked as an IS/IT Consultant and a Machine Learning Engineer with the industry for several years. He held a Visiting Researcher Position with IMT Atlantique, France, in 2020. His research interests include complex networks, machine learning, simulation, and broad data science.

network science, machine learning, simulation, data science.

Jagoda Anna Kaszowska Member since: Tuesday, March 05, 2019 Full Member

Ph.D., Finance

Postdoctoral researcher at Institute of Economics, Polish Academy of Sciences and in Macroprudential Research Division at National Bank of Poland. She graduated in Mathematics (Jagiellonian University, Poland) and in Economics (University of Alcala, Spain). In 2017 she obtained Fulbright Advanced Research Award. In the United States, she carried out research on systemic risk and complex systems. Her doctoral dissertation was about the measurement and modeling of systemic risk using simulation methods and complex systems approach (the results to be published by Palgrave Macmillan US). Previously, she gained experience on agent-based modeling while working with Juan Luis Santos on the European Commission FP 7 MOSIPS project (

Mathematics, complex systems, financial modeling, agent-based modeling, econometrics, macroprudential policies, systemic risk, cental banking

Flavio Diniz Member since: Sunday, November 15, 2020

Eletronic Engineer with specialization in Computer Science and a passion for Artificial Intelligence, Simulation, Programming, and many other tech topcis . One life is really not enough to learn and experiment all cool things that are out there. Love also learning languages: Portuguese, English, French, Italian, and German.

  • Agent-based Modeling
  • Automated Planning and Distributed Problem Solving
  • Natural Language Processing
  • Machine Learning
  • Internet of Things and Cloud-based Distributed Architectures

Annie Waldherr Member since: Monday, February 10, 2014


Annie Waldherr is a postdoctoral researcher at the Free University of Berlin, Institute for Media and Communication Studies. In 2012, she received her PhD for her dissertation on the dynamics of media attention. Her research interests include modeling public spheres, political online communication as well as science and technology discourses.

Christophe Le Page Member since: Friday, July 06, 2007 Full Member Reviewer

Ph.D. Biomathematics, Paris 6 University, M.Sc. Biomathematics, Paris 7 University, Engineering Degree, Fisheries and Aquatic Sciences Center, AgroCampus Ouest (Rennes)

Christophe Le Page currently works at the Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). Christophe does research on participatory modelling of the interactions between agriculture and the environment, focusing more specifically on the relationships among stakeholders about the management of natural renewable resources. Christophe is designing and using interactive agent-based simulation and role-playing games. He is an active member of the Companion Modelling research group.

Agent-based simulations and role-playing games in the field of renewable resource management.

Angelos Chliaoutakis Member since: Thursday, March 26, 2020

Ph.D., Computer Engineering, Technical University of Crete, Greece

Angelos Chliaoutakis received his PhD in Electronic & Computer Engineering in 2020 at Technical University of Crete (TUC), Greece. During 2005-2020 he was a research assistant at the Intelligent Systems Laboratory of TUC, participating in several research projects associated with NLP, semantic similarity and ontology based information systems. Since 2010 he is also a research assistant at the Laboratory of Geophysical - Satellite Remote Sensing and Archaeo-environment (GeoSat ReSeArch Lab) of the Institute for Mediterranean Studies of Foundation for Research and Technology (IMS-FORTH), were he is involved in various research projects related to the full-stack development of Geographical Information Systems (GIS), web-based GIS applications and Geoinformatics in the cultural and archaeological domain. This ultimately transformed his interest and research direction towards computational archaeology, in particular, agent-based modeling and simulation, while intertwining ideas and approaches from Artificial Intelligence, Multi-agent Systems and GIS.

Research activities range between Computer Science, Information Systems and Natural Language Processing (NLP), Agent-based modeling/simulation (ABM), Artificial Intelligence (AI) and Multi-Agent Systems (MAS) and Geographical Information Science (GIScience).

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