talks_calendar‎ > ‎

The Collective Intelligence: new results

Sketch presentation

The Collective Intelligence: new results


Bibliography

  • Durkheim, E. (1912). The elementary forms of the religious life.
  • Galton, F. (1907). Vox populi (The wisdom of crowds). Nature, 75(7), 450-451.
  • Levy, P. (2000). Collective Intelligence: Man’s Emerging World in Cyberspace. New York, NY: Perseus.
  • Malone, T. W. (2008). What is collective intelligence and what will we do about it. Collective Intelligence: Creating a Prosperous World at Peace, Earth Intelligence Network,, 1-4.
  • Surowiecki, J. (2004). The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. New York, NY: Doubleday.
  • Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. science, 330(6004),686-688. 
  • McCoy, J., & Prelec, D. (2017). A statistical model for aggregating judgments by incorporating peer predictions. arXiv preprint arXiv:1703.04778.
  • Prelec, D., Seung, H. S., & McCoy, J. (2017). A solution to the single-question crowd wisdom problem. Nature, 541(7638), 532-535.
  • Bates, T. C., & Gupta, S. (2017). Smart groups of smart people: Evidence for IQ as the origin of collective intelligence in the performance of human groups. Intelligence, 60, 46-56.
  • Yu, C., Chai, Y., & Liu, Y. (2017, July). Collective Intelligence: from the Enlightenment to the Crowd Science. In Proceedings of the 2nd International Conference on Crowd Science and Engineering (pp. 111-115). ACM.
  • Du, Q., Hong, H., Wang, G. A., Wang, P., & Fan, W. (2017, January). CrowdIQ: A New Opinion Aggregation Model. In Proceedings of the 50th Hawaii International Conference on System Sciences.  
  • Kim, Y. J., Engel, D. A. V. I. D., Woolley, A. W., Lin, J., McArthur, N., & Malone, T. W. (2015). Work together, play smart: Collective intelligence in League of Legends teams. Proceedings of Collective Intelligence, 2015, 1.
  • Woolley, A. W., Aggarwal, I., & Malone, T. W. (2015). Collective intelligence and group performance. Current Directions in Psychological Science, 24(6), 420-424.
  • Engel, D., Woolley, A. W., Jing, L. X., Chabris, C. F., & Malone, T. W. (2014). Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face. PloS one, 9(12), e115212.
  • Engel, D., Woolley, A. W., Aggarwal, I., Chabris, C. F., Takahashi, M., Nemoto, K., ... & Malone, T. W. (2015, April). Collective Intelligence in computer-mediated collaboration emerges in different contexts and cultures. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3769-3778). ACM.
  • Aggarwal, I., Woolley, A. W., Chabris, C. F., & Malone, T. W. (2015). Cognitive diversity, collective intelligence, and learning in teams. Proceedings of Collective Intelligence.
  • Meslec, N., Aggarwal, I., & Curseu, P. L. (2016). The insensitive ruins it all: Compositional and compilational influences of social sensitivity on collective intelligence in groups. Frontiers in psychology, 7.
  • Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A. W., & Dabbish, L. (2017, February). Deep Structures of Collaboration: Physiological Correlates of Collective Intelligence and Group Satisfaction. In CSCW (pp. 873-888).
  • Mann, R. P., & Helbing, D. (2017). Optimal incentives for collective intelligence. Proceedings of the National Academy of Sciences, 201618722.
Comments