Lab Director
Christoph Riedl
[email protected] | CV | Github | Twitter | Google Scholar
Christoph Riedl is Professor for Information Systems and Network Science at the D’Amore-McKim School of Business at Northeastern University. He holds a joint appointment with the Khoury College of Computer Sciences and the Network Science Institute. He is the chair of the ACM Collective Intelligence Conference Steering Committee and a fellow at the Center for Collective Intelligence at MIT. He is recipient of a Young Investigator Award (YIP) from the Army Research Office (ARO). His work has been funded by NSF, ARO, ARL, ONR, and DARPA including a $1.5M grant to study human-AI teams as principal investigator. His work has been published in leading journals including Science, PNAS, Nature Communications, Organization Science, Management Science, Information Systems Research, Academy of Management Discoveries, practitioner journals like Harvard Business Review and Sloan Management Review, as well as top computer science venues such as NeurIPS, ICLR, AAAI and CHI. His research has been featured, among others, in the New York Times, Financial Times, Wall Street Journal, WIRED, Fast Company, and Forbes. He serves as a member of the editorial board of Organization Science and Collective Intelligence.
His research explores collective intelligence — how groups of human and AI agent solve problems together.
Christoph Riedl teaches courses on Machine Learning and AI, Business Analytics, Digital Business Transformation, and Network Economics.
[email protected] | CV | Github | Twitter | Google Scholar
Christoph Riedl is Professor for Information Systems and Network Science at the D’Amore-McKim School of Business at Northeastern University. He holds a joint appointment with the Khoury College of Computer Sciences and the Network Science Institute. He is the chair of the ACM Collective Intelligence Conference Steering Committee and a fellow at the Center for Collective Intelligence at MIT. He is recipient of a Young Investigator Award (YIP) from the Army Research Office (ARO). His work has been funded by NSF, ARO, ARL, ONR, and DARPA including a $1.5M grant to study human-AI teams as principal investigator. His work has been published in leading journals including Science, PNAS, Nature Communications, Organization Science, Management Science, Information Systems Research, Academy of Management Discoveries, practitioner journals like Harvard Business Review and Sloan Management Review, as well as top computer science venues such as NeurIPS, ICLR, AAAI and CHI. His research has been featured, among others, in the New York Times, Financial Times, Wall Street Journal, WIRED, Fast Company, and Forbes. He serves as a member of the editorial board of Organization Science and Collective Intelligence.
His research explores collective intelligence — how groups of human and AI agent solve problems together.
Christoph Riedl teaches courses on Machine Learning and AI, Business Analytics, Digital Business Transformation, and Network Economics.
Graduate Research Assistants
Emma Filonow
Emma is an undergraduate student working on emergence in groups.
Sean Kelley
Sean is a post-doc working on LLMs.
Zach Fulker
CV | Google Scholar
Zach is a fifth-year PhD student working with Dr. Chris Riedl as part of the CSS Lab. Zach is primarily interested in dynamic networks, search behavior, and organizational theory. His research utilizes simulation modeling and experiments to better understand how groups of people process information to adapt, learn, and innovate. Currently, he is undertaking research on the role of incentives and group structure in parallel problem solving, and the outcome of games on dynamic networks. Zach received his B.S. from the University of Pittsburgh majoring in Mathematics and Economics and minoring in Computer Science and Statistics.
Josie Zvelebilova
Josie is a third-year graduate student working on a thesis with Dr. Chris Riedl. Josie's primary research interests are computational semantics, computational creativity, and philosophy of AI. Her current work addresses semantic convergence in human-AI teams. Josie received a B.A. in Liberal Studies from the University of Southern Maine.
Emma is an undergraduate student working on emergence in groups.
Sean Kelley
Sean is a post-doc working on LLMs.
Zach Fulker
CV | Google Scholar
Zach is a fifth-year PhD student working with Dr. Chris Riedl as part of the CSS Lab. Zach is primarily interested in dynamic networks, search behavior, and organizational theory. His research utilizes simulation modeling and experiments to better understand how groups of people process information to adapt, learn, and innovate. Currently, he is undertaking research on the role of incentives and group structure in parallel problem solving, and the outcome of games on dynamic networks. Zach received his B.S. from the University of Pittsburgh majoring in Mathematics and Economics and minoring in Computer Science and Statistics.
Josie Zvelebilova
Josie is a third-year graduate student working on a thesis with Dr. Chris Riedl. Josie's primary research interests are computational semantics, computational creativity, and philosophy of AI. Her current work addresses semantic convergence in human-AI teams. Josie received a B.A. in Liberal Studies from the University of Southern Maine.
Alumni
Samuel Westby
Robin Lange
Kristen Flaherty
Michael Foley
Ewen (Yuxuan) Wang
Jaemin Lee (now at The Chinese University of Hong Kong)
Gyanendra Sharma
Stefano Balietti (now researcher at Microsoft Research)
Sam Fraiberger (now Data Scientist at the World Bank and Visiting Scholar at NYU Computer Science Department)
Praveen Ningappa
Jake Moody
Christina Sirabella
Tina Lee
Robin Lange
Kristen Flaherty
Michael Foley
Ewen (Yuxuan) Wang
Jaemin Lee (now at The Chinese University of Hong Kong)
Gyanendra Sharma
Stefano Balietti (now researcher at Microsoft Research)
Sam Fraiberger (now Data Scientist at the World Bank and Visiting Scholar at NYU Computer Science Department)
Praveen Ningappa
Jake Moody
Christina Sirabella
Tina Lee