Christoph Riedl
(he/him/his)
Professor, Interdisciplinary with D'Amore-McKim School of Business
Research interests
- Collective intelligence
- Human–AI teaming
- Crowdsourcing
- Social influence/peer effects in 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 a professor in the D’Amore-McKim School of Business and the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is a core faculty member at the Network Science Institute and an affiliate at Harvard Business School's Institute for Quantitative Social Science, where he completed his postdoctoral fellowship.
Reidl is interested in understanding how social and economic networks shape collaboration and decision-making on the individual, group, and community levels. His work focuses on the optimal method of designing and managing teams, and he seeks to understand how social influence and information diffusion in networks shape global outcomes. At Northeastern he directs the Collaborative Social Systems Lab — which explores collaboration in distributed environments — and teaches courses on digital business transformation, business analytics, and network economics.
Reidl earned 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.
Recent publications
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Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other?
Citation: Christoph Riedl, Tom Grad, Christopher Lettl. (2024). Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other? CoRR, abs/2404.14141. https://doi.org/10.48550/arXiv.2404.14141 -
Cash or Non-Cash? Unveiling Ideators’ Incentive Preferences in Crowdsourcing Contests
Citation: Christoph Riedl, Johann Füller, Katja Hutter, Gerard J. Tellis. (2024). Cash or Non-Cash? Unveiling Ideators' Incentive Preferences in Crowdsourcing Contests CoRR, abs/2404.01997. https://doi.org/10.48550/arXiv.2404.01997 -
Multimodality in Group Communication Research
Citation: Robin Lange, Brooke Foucault Welles, Gyanendra Sharma, Richard J. Radke, Javier O. Garcia, Christoph Riedl. (2024). Multimodality in Group Communication Research CoRR, abs/2401.15194. https://doi.org/10.48550/arXiv.2401.15194 -
Building Better Human-Agent Teams: Tradeoffs in Helpfulness and Humanness in Voice
Citation: Samuel Westby, Richard J. Radke, Christoph Riedl, Brooke Foucault Welles. (2023). Building Better Human-Agent Teams: Tradeoffs in Helpfulness and Humanness in Voice CoRR, abs/2308.11786. https://doi.org/10.48550/arXiv.2308.11786 -
How creative versus technical constraints affect individual learning in an online innovation community
Citation: Victor P. Seidel, Christoph Riedl. (2023). How creative versus technical constraints affect individual learning in an online innovation community CoRR, abs/2303.15163. https://doi.org/10.48550/arXiv.2303.15163 -
Who wants to cooperate-and why? Attitude and perception of crowd workers in online labor markets
Citation: Zachary Fulker, Christoph Riedl. (2023). Who wants to cooperate-and why? Attitude and perception of crowd workers in online labor markets CoRR, abs/2301.08808. https://doi.org/10.48550/arXiv.2301.08808 -
Spontaneous emergence of groups and signaling diversity in dynamic networks
Citation: Zachary Fulker, Patrick Forber, Rory Smead, Christoph Riedl. (2022). Spontaneous emergence of groups and signaling diversity in dynamic networks CoRR, abs/2210.17309. https://doi.org/10.48550/arXiv.2210.17309 -
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach
Citation: Samuel Westby, Christoph Riedl. (2022). Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach CoRR, abs/2208.11660. https://doi.org/10.48550/arXiv.2208.11660 -
Online Mingling: Supporting Ad Hoc, Private Conversations at Virtual Conferences
Citation: Jaeyoon Song , Christoph Riedl, Thomas W. Malone. (2021). Online Mingling: Supporting Ad Hoc, Private Conversations at Virtual Conferences CHI, 340:1-340:10. https://doi.org/10.1145/3411764.3445776 -
Avoiding the bullies: the resilience of cooperation among unequals
Citation: M. Foley, R. Smead, P. Forber, C. Riedl. (2021). “Avoiding the Bullies: Resilience of Cooperation among Unequals,” PLoS Computational Biology, 17(4): e1008847. -
Spite is contagious in dynamic networks
Citation: Z Fulker, P Forber, R Smead, C Riedl. "Spite is contagious in dynamic networks". Nature Communications 12, 260 (2021). DOI: 10.1038/s41467-020-20436-1 -
Conflict and convention in dynamic networks
Citation: Foley, M., Forber, P., Smead, R., Riedl, C. Journal of the Royal Society Interface, 15(140), 20170835, 2018
