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 is a core faculty member at the Network Science Institute. He is a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard and the Center for Collective Intelligence at MIT. He is recipient of a Young Investigator Award (YIP) from the Army Research Office (ARO) for his work on social networks in collaborative decision-making. His work has been funded by NSF, ARO, ONR, and DARPA. He recently received a $1.5M Army Research Lab 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 AAAI and CHI. His research has been featured, among others, in the New York Times, Financial Times, Wall Street Journal, and Forbes. He currently serves as a member of the editorial board of Organization Science.
His research interests are to understand how social and economic networks shape collaboration and decision-making on the individual, group, and community level. He is known for his scholarship on how crowdsourcing and collective intelligence. His work focuses on the future of work centered around human-AI collaboration, crowdsourcing, and collective intelligence.
Christoph Riedl teaches courses on Digital Business Transformation, Business Analytics, 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 is a core faculty member at the Network Science Institute. He is a fellow at the Institute for Quantitative Social Science (IQSS) at Harvard and the Center for Collective Intelligence at MIT. He is recipient of a Young Investigator Award (YIP) from the Army Research Office (ARO) for his work on social networks in collaborative decision-making. His work has been funded by NSF, ARO, ONR, and DARPA. He recently received a $1.5M Army Research Lab 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 AAAI and CHI. His research has been featured, among others, in the New York Times, Financial Times, Wall Street Journal, and Forbes. He currently serves as a member of the editorial board of Organization Science.
His research interests are to understand how social and economic networks shape collaboration and decision-making on the individual, group, and community level. He is known for his scholarship on how crowdsourcing and collective intelligence. His work focuses on the future of work centered around human-AI collaboration, crowdsourcing, and collective intelligence.
Christoph Riedl teaches courses on Digital Business Transformation, Business Analytics, and Network Economics.
Graduate Research Assistants
Zach Fulker
[email protected] | 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.
John (Julian) Gullett
[email protected]
Julian is a first-year PhD student working with Dr. Chris Reidl. Currently, his research utilizes agent-based modeling to understand cooperative search. Julian received his Bachelor's from North Carolina State University in Materials Science Engineering with a minor in Economics and his Master's from Dartmouth College in Quantitative Biomedical Science. Julian previously studied quantum dot thin films in microelectronics fabrication as well as AI interpretability in clinical pathology.
Josie Zvelebilova
[email protected]
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.
Daniel Mendoza
Applying my Business Analytics background at Northeastern, I am eager to delve into real-world problems at the Network Science Institute. My main interests are solving complex supply chain and resource allocation challenges. I would like to apply analytics to unravel hidden connections and inefficiencies, develop data-driven strategies for smarter logistics and build predictive models for resilience against disruptions.
[email protected] | 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.
John (Julian) Gullett
[email protected]
Julian is a first-year PhD student working with Dr. Chris Reidl. Currently, his research utilizes agent-based modeling to understand cooperative search. Julian received his Bachelor's from North Carolina State University in Materials Science Engineering with a minor in Economics and his Master's from Dartmouth College in Quantitative Biomedical Science. Julian previously studied quantum dot thin films in microelectronics fabrication as well as AI interpretability in clinical pathology.
Josie Zvelebilova
[email protected]
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.
Daniel Mendoza
Applying my Business Analytics background at Northeastern, I am eager to delve into real-world problems at the Network Science Institute. My main interests are solving complex supply chain and resource allocation challenges. I would like to apply analytics to unravel hidden connections and inefficiencies, develop data-driven strategies for smarter logistics and build predictive models for resilience against disruptions.
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