Bill Rand
Bio:
Bill Rand is the McLauchlan Distinguished Professor of Marketing and Analytics and University Faculty Scholar at the Poole College of Management at North Carolina State University. His research focuses on the diffusion of information from a complex systems science perspective. In collaboration with a number of organizations, Bill has applied his research to various domains, including social media, text-based and image-based communication, network-based games, app adoption, not-for-profit donations, and innovation adoption.
Beyond his research, Bill is dedicated to education and the development of tools and frameworks that assist managers make more data-driven decisions. He co-authored the textbook “An Introduction to Agent-Based Modeling” with Uri Wilensky, which serves as the foundation for an award-winning MOOC he teaches.
Corinna Elsenbroich
Bio:
Corinna Elsenbroich is a Reader in Computational Modelling at the University of Glasgow. With a background in philosophy of science and computer science, she bridges theory and application, focusing on the epistemological and methodological dimensions of modelling. Over the past fifteen years, she has built agent-based models in areas such as juvenile delinquency, extortion, housing markets, and collective reasoning. Her work critically examines what knowledge computational modelling can generate and how it can inform policy. Corinna co-authored Modelling Norms with Nigel Gilbert and has a forthcoming textbook, Becoming an Agent-based Modeller (with Jennifer Badham), to be published by Routledge in 2025.
Igor Nikolic
Bio:
Igor Nikolic is an Associate Professor at Faculty of Technology, Policy and Management at Delft University of Technology. With a background in chemical and bio-process engineering and a PhD focused on agent-based modelling of large-scale socio-technical systems, Igor applies a systems thinking approach to sustainability and social issues in industrial and infrastructure domains. His research explores the impacts of new technologies, policies, institutions, culture, and business models on technical and social components of systems, with a focus on improving their sustainability.
By integrating participatory methods into the modelling process, Igor supports stakeholders in making strategic decisions under deep uncertainty. His transdisciplinary approach facilitates knowledge exchange between academia and practice, ultimately aiming to drive transformative change.
Catholijn Jonker
Bio:
Prof. dr. Catholijn Jonker is professor in Artificial Intelligence at TU Delft and Leiden University. She is principal investigator of the Amsterdam Institute of Advanced Metropolitan Solutions (AMS), and coordinator of the Hybrid Intelligence Centre. She is a member of the Royal Holland Society of Sciences and Humanities, a Fellow of EurAI, and member of the Academia Europaea. She is a knight in the Order of the Netherlands Lion. Recipient of the 2024 Autonomous Agents Research Award.
Her work explores negotiation, teamwork and decision-making, always with a value-sensitive lens.