Arthur Paul Pedersen is a tenure-track Assistant Professor of Computer Science at The City College of New York (CCNY) and The Graduate Center of the City University of New York (CUNY) and a Faculty Research Scientist with the CUNY Remote Sensing Earth System Sciences Institute (CREST Institute). He is Co-Director of the Intel Investigations Lab (i2lab), a joint research and training hub led by CCNY and Syracuse University that collaborates with public- and private-sector partners to develop intelligence analytic capabilities, conduct investigative research, and provide rigorous, immersive training and mentorship for students entering fields such as intelligence analysis, cybersecurity, investigative journalism, and forensic science. In addition to the CUNY Graduate Center’s Ph.D. Program in Computer Science and M.S. & Advanced Certification Programs in Data Science, Pedersen has been appointed faculty of the M.S. Program in Cybersecurity and the M.S. Program in Data Science & Engineering at The City College of New York.

Pedersen earned his Ph.D. in Logic, Computation and Methodology from Carnegie Mellon University and holds B.A. degrees in Mathematics and Philosophy from the University of Wisconsin-Madison. Before joining CCNY, he held research appointments at the Max Planck Institute for Human Development and Ludwig Maximilian University of Munich, where he remains an External Faculty Researcher with the Munich Center for Mathematical Philosophy.

Pedersen conducts research at the interface of artificial intelligence and cognitive science, probability and statistics, logic and computation, decision and game theory, and network science. His current research focuses on fundamental and applied problems in natural language inference and human-machine interaction, theoretical and methodological foundations of artificial intelligence, and social network and economic modelling and analysis. Current application areas include intelligence analysis and tradecraft, cybersecurity threat modeling and risk assessment, forensic handwriting identification and analysis, art authentication and attribution, forensic expert testimony and reporting, and social and strategic information forecasting and network design. A related thread of his scholarship targets the theoretical and methodological foundations of artificial intelligence vis-à-vis scientific inference, especially in connection with the theory of measurement. A driving force of the research efforts by Pedersen is his deep interest in theoretical and practical problems for reasoning under conditions of uncertainty, especially under conditions owing to incomplete or contradictory information, under conditions of unresolved conflict or competing interests, or under conditions of limited time, cognitive capacities, or computational resources. Pedersen serves on the editorial board of Minds and Machines.

Intel Investigations Lab website: https://intelinvestigationslab.org | Google Scholar: https://scholar.google.com/citations?user=L_WCGQgAAAAJ | ORCID: https://orcid.org/0000-0002-2164-6404