Digital business transformation and the rise of powerful generative AI will have a tremendous impact on the workforce of the future. Future work environments will be characterized by a growing emphasis on remote work and AI. The Collaborative Social Systems Lab, directed by Christoph Riedl, explores how the Future of Work will look like and how we can organize teams, crowds, and human-AI teams to be collectively intelligent.
Latest News
06.27.24
Our lab hosts the ACM Collective Intelligence Conference 2024 at Northeastern University.

05.24.23
Brookings policy piece on Workforce Ecosystems and AI covered in Bloomberg

05.05.23
“Your boss is obsessed with productivity without knowing what it means," interview at VOX

02.01.22
“Remote work isn’t the problem. Work is," interview at VOX

10.21.21
“The Collective Intelligence of Remote Teams," MIT Sloan Management Review

5.07.21
“The Art Market Often Works in Secret. Here’s a Look Inside.,” The New York Times.

​10.06.20
“Zoom calls can be too formal. These alternatives encourage casual chatting,” Fast Company.

8.17.20
“Remote workers want to re-create those watercooler moments, virtually,” MIT Technology Review.

8.12.20
“Water cooler moments don’t have to disappear in the virtual workplace,” Quartz.
​Recent Publications
Collective Attention in Human-AI Teams Zvelebilova, J., Savage, S., Riedl, C. (2024). arXiv.

Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other? Riedl, C., Grad, T., & Lettl, C. (2024). Organization Science, in press.

Cash or Non-Cash? Unveiling Ideators' Incentive Preferences in Crowdsourcing Contests.  Riedl, C., Hutter, K., Füller, J., & Tellis, G. (2024). Journal of Management Information Systems, 41(2), 487-514.

Spontaneous emergence of groups and signaling diversity in dynamic networks.  Fulker, Z., Forber, P., Smead, R., & Riedl, C. (2024). Phys. Rev. E 109, 014309.

Cooperation in the Gig Economy: Insights from Upwork Freelancers. Fulker, Z., & Riedl, C. (2024). Proceedings of the ACM on Human Computer Interaction, 8(CSCW1), 37.

Workforce Ecosystems and AI. Altman, L., Kiron, D. & Riedl, C. (2023). Brookings Institute.

Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach. Westby, S. & Riedl, C. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (2023). arXiv:2208.11660, Github.

Collective attention and collective intelligence: The role of hierarchy and team gender composition. Woolley, A.W., Chow, R., Mayo, A., Riedl, C., Chang, J. W. (2023). Organization Science, 34(3), 1315-1331.

Quantifying Collective Intelligence in Human Groups. Riedl, C., Kim, Y.J., Gupta, P., Malone, T.W., Woolley, A.W. (2021). Proceedings of the National Academy of Sciences, 118 (21) e2005737118.

Spite is Contagious in Dynamic Networks. Fulker, Z., Forber, P., Smead, R., Riedl, C. (2021). Nature Communications, 12(260). Replication data, open access PDF.