Christoph Riedl

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.

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

• Doctor of Philosophy (Ph.D.) Technische Universität München (2007 — 2011)
• Master's Degree Technische Universität München (2006 — 2007)
• Bachelor's Degree Technische Universität München (2002 — 2006)

Awards & Recognition

• Best Teacher Award (D'Amore-McKim School of Business, 2018)
• Walsh Professorship (D'Amore-McKim School of Business, 2021-2023)
• Research grant over $1,500,000 by Army Research Lab (ARL), 2019-2022,
• Most Novel Paper Award, Strategic Management Society Annual Conference 2020
• Best Paper Award of the Academy of Management Discoveries, finalist 2018

Selected Publications

• Riedl, C., Kim, Y.J., Gupta, P., Malone, T.W., Woolley, A.W. (2021). “Quantifying Collective Intelligence in Human Groups,” Proceedings of the National Academy of Sciences (PNAS), 118 (21) e2005737118.
• Balietti, S., Riedl, C. (2021). “Incentives, competition, and inequality in markets for creative production,” Research Policy, 50(4), 104212.
• Fulker, Z., Forber, P., Smead, R., Riedl, C. (2021). “Spite is Contagious in Dynamic Networks,” Nature Communications, 12(260).
• Riedl, C., Woolley, A. (2020). “Successful Remote Teams Communicate in Bursts,” Harvard Business Review, October, 2020.
• Riedl, C., Seidel, V., Woolley, A., Kane, G. (2020). “Make Your Crowd Smart,” Sloan Management Review, 61(4), Summer 2020.
• Fraiberger, S., Sinatra, R., Resch, M., Riedl, C., Barabási, A.L. (2018). “Quantifying Reputation and Success in Art” (shared last author with ALB). Science, 362(6416), 825-829.
• Riedl, C., Seidel, V. (2018). “Learning from Mixed Signals in Online Innovation Communities,” Organization Science, 29(6), 1010-1032.
• Riedl, C., Woolley, A.W. (2017). “Teams vs. Crowds: A Field Test of the Relative Contribution of Incentives, Member Ability, and Emergent Collaboration to Crowd-Based Problem Solving Performance,” Academy of Management Discoveries, 3(4), 382-403.
• Boudreau, K., Guinan, E., Lakhani, K., Riedl, C. (2016). “Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance and Resource Allocation in Science,” Management Science, 62(10), 2765-2783.
• Blohm, I., Riedl, C., Füller, J., Leimeister, J.M. (2016). “Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing,” Information Systems Research, 27(1), 27-48.