Christoph Riedl, Lab Director

Christoph Riedl is Associate Professor for Information Systems at the D’Amore McKim School of Business. He employs business analytics and data science to investigate research questions about group-decision making, network science, and social media, and develops novel computational approaches to study collective intelligence mechanisms.

Post-docs and Students

Jaemin Lee, Postdoctoral Research Associate

Jaemin Lee is a postdoctoral fellow at Northeastern University's Network Science Institute and D’Amore-McKim School of Business. As a social scientist who studies intergroup conflicts in social networks, Dr. Lee is interested in how the principle of homophily and social diffusion shape group polarization, antagonism, and sanctions. The crux of his research program entails two substantive contexts: political polarization and adolescent social networks. He uses computational simulations, survey data, and field experiments to identify the conditions under which interpersonal influence gives rise to the growing political divide in both social media and the general population in America. He also specializes in analyzing and modeling longitudinal network data to examine how social constraints such as gendered norms and racial clustering introduce complexities to segregation dynamics in school. Before coming to Northeastern, Lee completed his sociology PhD program at Duke University and received a BA and MA in sociology from Yonsei University.

Michael Foley, Fourth Year PhD Student

Michael's broad research interests lie in the overlap between complex systems and the social sciences. In particular, he is interested in how rational local decisions and interactions can produce unintended and emergent system behavior. Michael has a B.S. and M.S. in Mathematics from the University of Vermont, where he did research in computational finance and agent based modeling. Currently, he is working with Christoph Riedl to research the effect of different communication networks on a group's ability to solve problems.

Brennan Klein, Third Year PhD Student

Brennan studies surprise in complex systems. He received his BA in Cognitive Science and Psychology from Swarthmore College in 2014, studying the relationship between perception, action, and cognition. Now, he is focused on understanding how complex systems are able to represent, predict, and intervene on their surroundings across a number of different scales—all in ways that minimize the surprisal experienced in the future. This approach is used to study a range of phenomena, from human decision making, to optimal experimental design, to causal emergence in networks.

Zachary Fulkner, First Year PhD Student

Zach is primarily interested in the intersection of complex systems with economics and politics. He hopes to create simple economic models that can advise policy decisions using a networks and agent-based approach. Zach received his bachelor’s degree from the University of Pittsburgh majoring in Mathematics and Economics.

Ewen (Yuxuan) Wang, Undergraduate Research Assistant

Ewen is a first-year computer science student at Northeastern University's College of Computer and Information Sciences. Creating computer and mobile games since middle school, he found a strong passion for CS and has published well-received apps on the Play Store. Previously, he interned at Harvard Medical School’s Medical Imaging Lab, where he developed software to format patient data for machine learning. He currently researches optimal experimental design through agent-based simulations and is an active developer of the nodeGame experimentation framework.

Lab Alumni

  • 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