Skip to main content

Christoph Riedl

Associate Professor

Interdisciplinary with D'Amore-McKim School of Business

Christoph Riedl

Contact

Office Location

370 Huntington Avenue
214 Hayden Hall
Boston, MA 02115

Mailing Address

Northeastern University
ATTN: Christoph Riedl, 214 HA
360 Huntington Avenue
Boston, MA 02115

Research Interests

  • Individual and team productivity, with respect to crowd sourcing
  • Collaborative decision making and collective intelligence
  • The intersection of computational social science, business analytics, and data science
  • Social influence and peer effects in collective problem solving and decision making over social networks

Education

  • PhD in Information Systems, Technische University at Munchen, Germany
  • MS in Information Systems, Technische University at Munchen, Germany
  • BS in Computer Science, Technische University at Munchen, Germany

Biography

Christoph Riedl is an associate 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 received his PhD in information systems, MS in information systems, and BS in computer science from Technische Universität München in Germany. Prior to joining Northeastern, he was a postdoctoral fellow the Institute for Quantitative Social Science (IQSS) at Harvard Business School, which he remains an affiliate of.

Reidl is interested in understanding how social and economic networks shape collaboration and decision-making on the individual, group, and community level. His work focuses on the optimal method of designing and managing teams, while he seeks to advance the understanding of how social influence and information diffusion in networks shape outcomes on a global scale.  He directs the Collaborative Social Systems Lab, which explores collaboration in distributed environments.

He is a recipient of a Young Investigator Award from the Army Research Office for his work on social networks in collaborative decision-making. His work has been funded by NSF, ARO, ONR, and DARPA, and has been published in leading journals including Science, Organization Science, Management Science, Information Systems Research, Academy of Management Discoveries, and the Journal of the Royal Society Interface. Riedl teaches courses on Digital Business Transformation, Business Analytics, and Network Economics.