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AW Woolley CV
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Anita Williams Woolley

Professor of Organizational Behavior & Theory

Tepper School of Business, Carnegie Mellon University        

https://scholars.cmu.edu/418-anita-woolley

a2w@cmu.edu

EDUCATION

Harvard University

Ph.D., Joint Doctoral Program in Organizational Behavior

M.S., Social Psychology 

B.A., Psychology Phi Beta Kappa, Summa Cum Laude

POSITIONS HELD

Carnegie Mellon University, Tepper School Of Business

Harvard University

Other Positions

PUBLICATIONS

Peer-Reviewed Journal Articles (reverse chronological order)

  1. Gonzalez, C., Donahue, K., Goldstein, D. G., Heidari, H., Jalali, M. S., Schelble, B., Singh, A., & Woolley, A. W. (2026). Toward a science of human–AI teaming for decision-making: A complementarity framework. PNAS Nexus, pgag030. https://doi-org.cmu.idm.oclc.org/10.1093/pnasnexus/pgag030
  2. McDonald, C., Nguyen, T. N., Botelho, C., Dishop, C., Woolley, A. W., & Gonzalez, C. (2026). Exploring the effects of real-time feedback on collaborative processes to enhance collective intelligence in teams. Collective Intelligence, 5(1). https://doi.org/10.1177/26339137261431725
  3. Brown, A. S., Dishop, C. R., Kuznetsov, A., Chao, P.-Y., & Woolley, A. W. (2025). Beyond efficiency: Trust, AI, and surprise in knowledge work environments. Computers in Human Behavior, 167, 108605. https://doi.org/10.1016/j.chb.2025.108605
  4. Dishop, C. R., Brown, A. S., Chao, P. Y., Kuznetsov, A., & Woolley, A. W. (2025) Machines in the middle: Using artificial intelligence (AI) while offering help affects warmth, felt obligations, and reciprocity. Journal of Business and Psychology https://doi-org.cmu.idm.oclc.org/10.1007/s10869-025-10068-x
  5. Gonzalez, C., Admoni, H., Brown, S., & Woolley, A. W. (2025). COHUMAIN: Building the Socio-Cognitive Architecture of Collective Human–Machine Intelligence. Topics in Cognitive Science, tops.12673. https://doi.org/10.1111/tops.12673
  6. Gupta, P., Nguyen, T. N., Gonzalez, C., & Woolley, A. W. (2025). Fostering Collective Intelligence in Human–AI Collaboration: Laying the Groundwork for COHUMAIN. Topics in Cognitive Science, tops.12679. https://doi.org/10.1111/tops.12679
  7. Mayo, A. T., Woolley, A. W., John, L., March, C., Witchel, S., & Nowalk, A. (2025). Coordination in dynamic teams: Investigating a learning–productivity trade-off. Organization Science, 36(2), 967-992 https://doi-org.cmu.idm.oclc.org/10.1287/orsc.2022.16729
  8. Nguyen, T. N., Woolley, A. W., & Gonzalez, C. (2025). Measuring implicit spatial coordination in teams: Effects on collective intelligence and performance. Proceedings of the ACM Collective Intelligence Conference, 273–285. https://dl.acm.org/doi/abs/10.1145/3715928.3737490
  9. Rosenberg, L., Schumann, H., Dishop, C., Willcox, G., Woolley, A., & Mani, G. (2025). Large-scale group brainstorming and deliberation using swarm intelligence and generative AI. Proceedings of the 27th Int Conference on Enterprise Info Systems, 867–872. https://doi.org/10.5220/0013379800003929
  10. Woolley, A.W. (2025). Generative AI and collaboration: Opportunities for cultivating collective intelligence. Journal of Organizational Design. https://doi.org/10.1007/s41469-025-00199-z
  11. Woolley, A.W. & Mayo, A.M. (2025) Teams. Handbook of Social Psychology (6th edition), Princeton University Libraries.
  12. Zhou, X., Su, Z., Feng, S., Zhou, J., Huang, J.-T., Kao, H.-T., Lynch, S., Volkova, S., Wu, T., Woolley, A., Zhu, H., & Sap, M. (2025). SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 350-360. https://doi.org/10.18653/v1/2025.naacl-demo.30
  13. Aggarwal, I., Mayo, A. T., Murase, T., Zhang, E. Y., Aven, B., & Woolley, A. W. (2024). Cognitive versatility and adaptation to fluid participation in hospital emergency department teams. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1144638
  14. Burton, J. W., Lopez-Lopez, E., Hechtlinger, S., Rahwan, Z., Aeschbach, S., Bakker, M. A., Becker, J. A., Berditchevskaia, A., Berger, J., Brinkmann, L., Flek, L., Herzog, S. M., Huang, S., Kapoor, S., Narayanan, A., Nussberger, A.-M., Yasseri, T., Nickl, P., Almaatouq, A., … Woolley, A.W., Wulff, D.U., & Hertwig, R. (2024). How large language models can reshape collective intelligence. Nature Human Behaviour, 1–13. https://doi.org/10.1038/s41562-024-01959-9
  15. Gupta, P., Kim, Y.J., Glikson, E., & Woolley, A. W. (2024). Using digital nudges to enhance collective intelligence in online collaboration: Insights from unexpected outcomes. MIS Quarterly, 48(1), 393–408. https://doi.org/10.25300/MISQ/2023/16752
  16. Kuznetsov, A., Chao, P.-Y., Dishop, C., Brown, A., & Woolley, A. W. (2024). Transactive memory in caregiver networks using artificial intelligence. Proceedings of the AAAI Symposium Series, 4(1), 168–172. https://doi.org/10.1609/aaaiss.v4i1.31789
  17. Rosenberg, L., Schumann, H., Dishop, C., Willcox, G., Woolley, A., & Mani, G. (2024). Conversational Swarms of Humans and AI Agents enable Hybrid Collaborative Decision-making. 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 257–263. https://doi.org/10.1109/uemcon62879.2024.10754763
  18. Shea, C.T. & Woolley, A.W. (2024) Diversity of contributions is not efficient but is essential for science. Brain and Behavioral Sciences, 47, e57. https://doi.org/10.1017/S0140525X23002285
  19. Woolley, A. W. (2024). Artificial intelligence and people at work. In Oxford Research Encyclopedia of Business and Management. https://doi.org/10.1093/acrefore/9780190224851.013.450
  20. Woolley, A. W., & Gupta, P. (2024). Understanding collective intelligence: Investigating the role of collective memory, attention, and reasoning processes. Perspectives on Psychological Science, 17456916231191534. https://doi.org/10.1177/17456916231191534 
  21. Aggarwal, I., Schilpzand, M. C., Martins, L. L., Woolley, A. W., & Molinaro, M. (2023). The benefits of cognitive style versatility for collaborative work. Journal of Applied Psychology, 108 (4), 647-659. https://doi.org/10.1037/apl0001035
  22. Woolley, A. W., Chow, R. M., Mayo, A. T., Chang, J. W., & Riedl, C. (2023). Collective attention and collective attention:  The role of hierarchy and group gender composition. Organization Science, 34, 1315-1331.
  23. Zhao, M., Eadeh, F. R., Nguyen, T.-N., Gupta, P., Admoni, H., Gonzalez, C., & Woolley, A. W. (2023). Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models. Computers in Human Behavior, 139, 107524. https://doi.org/10.1016/j.chb.2022.107524
  24. Ostrowski, B., Haan, K.W., & Woolley, A.W. (2022). Group Brainstorming:  The effects of collective intelligence, individual ability, and task structure. Small Group Research, 53(1), 3-40.
  25. Wang, J., Baharav, C., Shah, N. B., Woolley, A.W., & Ravi, R. (2022). Allocation schemes in analytic evaluation: Applicant-centric holistic or attribute-centric segmented? Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 10, 207–218. https://doi.org/10.1609/hcomp.v10i1.22000
  26. Fiacco, J., Haan, K.W., Woolley, A.W., & Rosé, C. (2021). Taking transactivity detection to a new level. International Society of the Learning Sciences, 8.    
  1. Gupta, P., & Woolley, A. W. (2021). Articulating the role of artificial intelligence in collective intelligence: A transactive systems framework. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65.
  2. Haan, K.-W., Riedl, C., & Woolley, A. (2021). Discovering where we excel: How inclusive turn-taking in conversation improves team performance. Companion Publication of the 2021 International Conference on Multimodal Interaction, 278–283. https://doi.org/10.1145/3461615.3485417
  3. Mayo, A.T. & Woolley, A.W. (2021). Variance in group ability to transform resources into performance, and the role of coordinated attention. Academy of Management Discoveries, 7(2), 225-246.
  4. 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, 118(21), e2005737118.
  5. Tomprou, M., Kim, Y.J., Chikersal, P., Woolley, A.W., & Dabbish, L.A. (2021). Speaking out of turn:  How video conferences reduces vocal synchrony and collective intelligence. PLoS One, 16 (3), e0247655. https://doi.org/10.1371/journal.pone.0247655
  6. Woolley, Anita Williams. (2021). Assessing collective intelligence in human groups. In AI and the Future of Skills, Volume 1: Capabilities and Assessments. OECD. https://doi.org/10.1787/5ee71f34-en
  7. Glikson, E. & Woolley, A.W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14 (2), 627-660.
  8. Mayo, A.T., Woolley, A.W., & Chow, R.M. (2020). Unpacking participation and influence: Diversity’s countervailing effects on expertise use in groups. Academy of Management Discoveries 6 (2), 300-319. https://doi.org/10.5465/amd.2018.0044
  9.  Aggarwal, I. & Woolley, A.W. (2019). Team creativity, cognition, and cognitive style diversity.  Management Science, 64, 1586-1599.
  10.  Glikson, E., Woolley, A.W., Gupta, P., & Kim, Y. J. (2019). Visualized automatic feedback in virtual teams. Frontiers in Psychology.  https://doi.org/10.3389/fpsyg.2019.00814
  11.  Aggarwal, I., Woolley, A.W., Chabris, C.F. & Malone, T.W. (2019). The impact of cognitive style diversity on implicit learning in teams. Frontiers in Psychology, 10:112. doi: 0.3389/fpsyg.2019.00112
  12.  Gupta, P. & Woolley, A.W. (2018). Productivity in an era of multi-teaming: The role of information dashboards and shared cognition in team performance.  Proceedings ACM Human-Computer Interaction, 2, 62. (CSCW 2018). https://doi.org/10.1145/3274331
  13. Chang, J.W., Chow, R.C., & Woolley, A.W. (2017). Effects of inter-group status on the pursuit of intra-group status. Organizational Behavior and Human Decision Processes, 139, 1-17.
  14.  Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A., & Dabbish, L. (2017). Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction. Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017).          
  15. Nielsen, M. W., Alegria, S., Börjeson, L., Etzkowitz, H., Falk-Krzesinski, H. J., Joshi, A., Woolley, A.W., … Schiebinger, L. (2017). Gender diversity leads to better science. Proceedings of the National Academy of Sciences, 114(8), 1740–1742.
  16.  Kim, Y. J., Engel, D., Woolley, A., Lin, J., McArthur, N., & Malone, T. (2017). What makes a strong team? Using collective intelligence to predict performance of teams in League of Legends. Proceedings ACM Human-Computer Interaction (CSCW 2017).
  17. Riedl, C. & Woolley, A.W. (2017). Teams vs. Crowds: A field test of the relative contributions of incentives, member ability, and emergent collaboration to crowd-based problem-solving performance.  Academy of Management Discoveries, 3, 382-403.
  1. Mayo, A. T., & Woolley, A. W. (2016). Teamwork in health care: Maximizing collective intelligence via inclusive collaboration and open communication. AMA Journal of Ethics, 18(9), 933.
  2. Woolley, A. W., Aggarwal, I., & Malone, T. W. (2015). Collective Intelligence and Group Performance. Current Directions in Psychological Science, 24(6), 420–424.
  3. Schuldt, J. P., Chabris, C. F., Woolley, A. W., & Hackman, J. R. (2015). Confidence in dyadic decision making: The role of individual differences. Journal of Behavioral Decision Making.
  4. Engel, D., Woolley, A. W., Aggarwal, I., Chabris, C. F., Takahashi, M., Nemoto, K., … Malone, T. W. (2015). Collective intelligence in online collaboration emerges in different contexts and cultures. CHI ’15 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.
  5. 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.
  6. Aggarwal, I. & Woolley, A.W. (2013) Do you see what I see? The effect of members’ cognitive styles on team processes and errors. Organizational Behavior and Human Decision Processes, 122, 92-99.
  7. Woolley, A.W., Bear, J.B., Chang, J.W. & DeCostanza, A.H. (2013).  The effects of team strategic orientation on team process and information search. Organizational Behavior and Human Decision Processes, 122, 114-126.
  8. Woolley, A.W. (2011). Playing offense vs. defense:  The effects of strategic orientation on team process in competitive environments. Organization Science, 22, 1384-1398.
  9. Woolley, A.W. (2011). Responses to adversarial situations and the implications for collective intelligence. Journal of Organizational Behavior, 32, 978-983.
  10. Woolley, A.W. & Fuchs, E.R.H. (2011). Collective intelligence in the organization of science. Organization Science 22, 1359-1367.
  11. Bear, J.B. & Woolley, A.W. (2011). The role of gender in team collaboration and performance. Interdisciplinary Science Reviews, 36, 146-153.
  12. O’Leary, M.B., Mortensen, M. & Woolley, A.W. (2011). Multiple team membership: A theoretical model of its effects on productivity and learning for individuals and teams. Academy of Management Review, 36, 461-478.
  13. Woolley, A.W., Chabris, C.F., Pentland, A., Hashmi, N. & Malone, T.M. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330, 686-688.
  14. Woolley, A. W. (2009). Means versus Ends: Implications of outcome and process focus for team adaptation and performance. Organization Science, 20, 500-515.  
  15. Woolley, A.W.  (2009). Putting first things first:  Task focus and team performance. Journal of Organizational Behavior, 30, 427-452.
  16. Woolley, A. W., Gerbasi, M. E., Chabris, C. F., Kosslyn, S. M., & Hackman, J. R. (2008). Bringing in the experts: How team composition and work strategy jointly shape analytic effectiveness.  Small Group Research, 39, 352-371.
  1. Woolley, A. W., Hackman, J. R., Jerde, T. J., Chabris, C. F., Bennett, S. L., & Kosslyn, S. M. (2007). Using brain-based measures to compose teams: How individual capabilities and team collaboration strategies jointly shape performance.  Social Neuroscience, 2, 96-105.
  2. Woolley, S.L., Benjamin, W.J., & Woolley, A.W.  (2004)   Construct validity of a self-report measure of teacher beliefs related to constructivist and behaviorist theories.  Educational and Psychological Measurement, 62, 319-331.
  3. Woolley, A.W. (1998).  Effects of intervention content and timing on group task performance.  Journal of Applied Behavioral Science, 34, 30-46.

Refereed Conference Proceedings

  1. Chang, J.W., Chow, R.M., Woolley, A.W. (2013).  High-status but low-performing: Effects of group status on information exchange and group outcome.  Academy of Management Best Paper Proceedings.
  2. Woolley, A.W., Bear, J.B., Chang, J.W., DeCostanza, A.W. (2011). The effects of team strategic orientation on team strategy and information search in competitive environments. Academy of Management Best Paper Proceedings.
  3. Woolley, A.W. (2009) Offensive versus defensive strategic orientation and collective information processing in teams. Academy of Management Best Paper Proceedings.

Book Chapters  (reverse chronological order)  

  1. Woolley, A.W., Gupta, P. & Glikson, E. (2023). Using AI to enhance collective intelligence in virtual teams: Augmenting cognition with technology to help teams adapt to complexity. In L. Gilson, T. Maynard  & T. O’Neil. Handbook of Virtual Work. Cheltenham, UK: Edward Elgar Publishing
  2. Malone, T.W. & Woolley, A.W. (2021). Collective intelligence. In R. Sternberg (Ed) The Cambridge Handbook of Intelligence. Cambridge, UK: Cambridge University Press.
  3. Woolley, A. W., & Aggarwal, I. (2020). Collective intelligence and group learning. In L. Argote & J. M. Levine (Eds.), Handbook of Group and Organizational Learning. London, UK: Oxford University Press.
  4. Woolley, A.W., Aggarwal, I., & Malone, T.W. (2014).  Collective intelligence in teams and organizations.  In T.W. Malone & M. Berstein (Eds.) Handbook of Collective Intelligence.  Cambridge, MA:  MIT Press.
  5. Woolley, A.W., & Hashmi, N. (2013).  Cultivating collective intelligence in online groups. In P. Michelucci (Ed.)  Handbook of Human Computation. New York, NY:  Springer Science+Business Media.
  6. Woolley, A.W. (2013).  Emerging understanding of group-related characteristics:  Collective intelligence. New Directions in Assessing Performance Potential of Individuals and Groups, National Research Council, Division of Behavioral and Social Sciences Education.  Washington, DC.
  7. Aggarwal, I., & Woolley, A.W. (2012). Two perspectives on intellectual capital and innovation in teams: Collective intelligence and cognitive diversity. In C. Mukhopadyay (Ed.), Driving the economy through innovation and entrepreneurship (pp. 495-502). Bangalore: Springer.
  8. Roloff, K.S., Woolley, A.W. and Edmondson, A.C. (2011) “The contribution of teams to organizational learning,” in M. Easterby-Smith & M. Lyles, (Eds.) International handbook of organizational learning and knowledge management, Second Edition, 249-272. London: Blackwell.
  9. O'Leary, M.B., Mortensen, M. and Woolley, A.W. (2011) “Multi-team membership in relation to multi-team systems,” in S. Zaccaro, M. Marks & L. DeChurch (Eds.), Multi-team systems: An organization form for dynamic and complex environments. New York, NY: Psychology Press/ Taylor & Francis Group, LLC.  
  10. Woolley, A.W. (2009) Organizations. In J.M. Levine & M.A. Hogg (Eds.), Encyclopedia of Group Processes and Intergroup Relations.  Thousand Oaks, CA:  Sage Publications.
  11. Caruso, H.M. & Woolley, A. W. (2008). Manifesting the value of cognitive diversity in teams:  The critical role of emergent interdependence. In M. A. Neale, E. Mannix & K. Phillips (Eds.), Research on managing groups and teams:  Groups and diversity (Vol. 9). Oxford, UK: Elsevier Science Press.
  12. Mortensen, M., Woolley, A. W., & O’Leary, M. B. (2007) Conditions enabling effective multiple team membership. In K. Crowston, S. Sieber, & E. Wynn (Eds.), Virtuality and Virtualization Vol. 236: 215-228. Portland, OR: Springer Publishers.
  13. Edmondson, A. C., & Woolley, A. W. (2003). Understanding outcomes of organizational learning interventions. In M. Easterby-Smith & M. Lyles (Eds.), International handbook on organizational learning and knowledge management. London: Blackwell.

Managerial Publications and Published Talks

  1. Riedl, C. & Woolley, A.W. (2020).  Successful remote teams communicate in bursts. Harvard Business Review (October) https://hbr.org/2020/10/successful-remote-teams-communicate-in-bursts
  2. Riedl, C., Seidel, V.P., Woolley, A.W., & Kane, G.C. (2020). Make your crowd smart: A framework for tailoring your crowdsourcing approach to the complexity of your innovation challenge. Sloan Management Review.
  3. Woolley, A.W. (2013). Expertise and collective intelligence: when teams are (and are not) more than the sum of their parts.  In Wageman, R. (ed.), Team Effectiveness: The Marketing & Management Collection, Henry Stewart Talks Ltd, London (http://hstalks.com/?t=MM1713492-WilliamsWoolley)
  4. Woolley, A.W. & Malone, T.W. (2011). What makes a team smarter? Harvard Business Review, June, 32-33.
  5. O’Leary, M.B., Mortensen, M. & Woolley, A.W. (2010) Multiple team membership: Working together effectively before it all goes downhill.  IESE Insight, 6, 52-58.

Educational Cases

  1. Woolley, A.W. (2019).  James Bryant and Appalachian Gas. Tepper School of Business, Carnegie Mellon University.
  2. Polzer, J.T. & Woolley, A.W.  (2001). Chapter Enrichment Program Teams at the American Red Cross. Case N9-402-042. Boston:  Harvard Business School Press.

INVITED TALKS AT CONFERENCES (IN REVERSE CHRONOLOGICAL ORDER)

  1. Gupta, P. & Woolley, A.W. (2020). The emergence of collective intelligence behavior
  1. Gupta, P. Woolley, A.W., & Carly, K.M. (2020). The functional components of collective intelligence and their predictive role in open source software teams.
  1. Haan, K.W. & Woolley, A.W. (2020). Who is more engaged with whom? Investigating individual and dyadic difference antecedents to transactivity.  Paper presented at Annual Interdisciplinary Network for Group Research Conference (online)
  2. Gupta, P., Kim,Y.J.,  Glikson, E. & Woolley, A. W. (2019). Digitally nudging team processes to enhance collective intelligence.
  1. Gupta, P. & Woolley, A.W. (2019). The bottom-up emergence of transactive attention systems(TAS).
  1. Gupta, P. & Carley, K. M. & Woolley, A. W. (2019). Fractionating the effects of transactive memory and transactive attention on collective performance. 
  1. Gupta, P. & Woolley, A.W. & Carley, K. M. & Argote, L. (2019). Simulation model of human transactive memory: A study of emergence. Paper presented at the 34th Society for Industrial & Organizational Psychology (SIOP) Conference, Washington, DC.
  2. Haan, K.W., Woolley, A.W., & Mayo, A.T. (2019) Investigating the dynamic relationship between team faultlines and performance: A multilevel and latent modeling approach. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Lisbon, Portugal.             
  1. Mayo, A.T., Diabes, M. & Woolley, A.W. (2019). Coordinated attention, boundary management, and collective intelligence.
  1. Ostrowski, B., Woolley, A.W., Haan, K.W. (2019). Group brainstorming: The effects of collective intelligence, individual ability, and task structure.
  1. Ostrowski, B., Mayo, A.T., & Woolley, A.W. (2019). Team performance in adaptive contexts: Process clarity, specialization, and perspective taking. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Lisbon, Portugal.
  2. Woolley, A.W., Chow, R. M., Mayo, A. T., Reidl, C., Chang, J. W. (2019). Team synchrony and collective intelligence: The role of hierarchy and group composition. Paper presented at the Annual Meeting of the Academy of Management, Boston, MA.
  3. Campbell, E.L., Woolley, A.W. (2018). The effect of gender composition on team performance in crisis situations: A preliminary report on escape room teams. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  4.  Glikson, E., Harush, R., Kim, Y.J., Woolley, A.W., Erez, M. (2018) Working like a “real team” interdependence and collective intelligence in multicultural globally dispersed team performance. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  5. Glikson, E., Woolley, A.W., Gupta, P. Kim, Y.J. (2018) The effect of automatic feedback on effort and collective intelligence in distributed teams. Paper presented at the ACM Collective Intelligence conference, Zurich, Switzerland.
  6. Glikson, E., Woolley, A.W. (2018) A human-centered perspective on Human-AI interaction: Introduction of the embodiment continuum framework. Paper presented at the ACM Collective Intelligence conference, Zurich, Switzerland.
  7. Gupta, P., Woolley, A.W., Carley, K.M., Argote, L. (2018). Simulation model of human transactive memory: a study of emergence in teams. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  8. Haan, K.W., Woolley, A.W., Argote, L. (2018). Harnessing the power of synergy: A configuration approach to cultural self-construal and team collective intelligence. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  9. Kim, Y.J., Gupta, P., Glikson, E., Woolley, A.W., Malone, T. (2018). Enhancing collective intelligence of human-machine teams. Paper presented at the ACM Collective Intelligence conference, Zurich, Switzerland.
  10. Mayo, A.T., Diabes, M., Woolley, A.W. (2018). Collective intelligence: the role of boundary activities in outperforming expectations. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  11. Mayo, A.T., Woolley, A.W. (2018). Dynamic teams and boundary management: A field experiment with medical inpatient teams. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.
  12. Ostrowski, B., Woolley, A.W. (2018). Using collective intelligence to examine the relative contributions of structure, group ability, and individual ability to team brainstorming performance. Poster presented at the Annual Interdisciplinary Network for Group Research Conference, Bethesda, MD.        
  1. Chikersal, P., Tomprou, M., Kim, Y.J., Woolley, A.W., Dabbish, L. (2017).  Psychological and behavioral synchrony in dyads. Paper presented at the Annual Meeting of the Academy of Management, Atlanta, GA.
  2. Diabes, M. A., Mayo, A.T., & Woolley, A.W. (2017). Collective intelligence in financial sales units: A qualitative exploration. Paper presented at the Annual Interdisciplinary Network for Group Research Conference, St. Louis, MO.
  3. Gupta, P. & Woolley, A.W. Multi-team membership, transactive memory and performance in technology-assisted teams.
  1. Mayo, A.T. & Woolley, A.W. Field evidence for collective intelligence in business unit performance.
  1. Woolley, A.W., Chow, R.M., Mayo, A.T., Riedl, C., & Chang, J.W. (2017) Interpersonal synchrony and collective intelligence. Paper presented at the 2017 INGRoup Conference, St. Louis, MO.
  2. Aggarwal, I., Murase, T., Zhang, E., Aven., B., & Woolley, A.W. (2016).  What makes ER teams efficient? A multi-level exploration of environmental, team, and member characteristics. Paper presented at the 2016 INGRoup Conference, Helsinki, Finland.
  3. Engel, D., Kim, Y. J. Woolley, A. W., Lin, J., McArthur, N., & Malone, T. W. (2016). What makes a strong team? Collective intelligence predicts team performance in League of Legends. Paper presented at the Annual Meeting of the Academy of Management. Anaheim, CA.
  4. Glikson, E., Harush, R., Kim, Y. J., Woolley, A. W., & Erez, M. (2016). Psychological safety and collective intelligence in multicultural globally distributed teams. Paper presented at the 2016 INGRoup Conference, Helsinki, Finland.
  5. Kim, Y. J. & Woolley, A. W. (2016). The effect of team extraversion on coordination and collective intelligence. Paper presented at the 2016 INGRoup Conference. Helsinki, Finland.
  6. Kim, Y. J., & Aggarwal, I. & Woolley, A. W. (2016). How communication impacts team performance: Exploring collective intelligence and transactive memory system as mechanisms. Paper presented at the 2016 Annual Convention of the International Communication Association. Fukuoka, Japan.  
  1. Kim, Y. J., Aggarwal, I. & Woolley, A. W. (2016). How collective intelligence impacts team performance: Exploring transactive memory systems as a mechanism. Paper presented at the 2016 Collective Intelligence Conference, New York.
  2. Mayo, A.T. & Woolley, A.W. (2016). Field evidence for collective intelligence in business unit performance. Paper presented at the 2016 INGRoup Conference, Helsinki, Finland.
  3. Mayo, A.T., Woolley, A.W., Chow, R.M., Reidl, C., & Chang, J.W. (2016). Competition and collective intelligence: Do women always make groups smarter? Paper presented at the Annual Academy of Management Meeting, Anaheim, CA.
  4. Aggarwal, I., Woolley, A. W., Chabris, C. F., and Malone, T. W. (2015). Cognitive diversity, collective intelligence, and learning in teams.  Paper presented at the 2015 Collective Intelligence Conference, Santa Clara, CA.
  5. Aggarwal, I., Woolley, A.W., Chabris, C.F., & Malone, T.W. (2015). Cognitive diversity, collective intelligence and learning in teams. Paper presented at the 2015 European Academy of Management Conference, Warsaw, Poland.    
  1. Kim, Y. J., Engel, D., Aggarwal, I., Woolley, A. W., & Malone, T. W. (2015). Retention of participants in online collective intelligence tests involving a panel design. Panel presented at the 2015 annual convention of the International Communication Association. San Juan, Puerto Rico.
  2. Kim, Y. J., Engel, D., Woolley, A. W., Lin, J., McArthur, N., & Malone, T. W. (2015). Work together, play smart: Collective intelligence in League of Legends teams. Paper presented at the 2015 Collective Intelligence Conference, Santa Clara, CA.
  3. Mayo, A.T., Woolley, A.W., and Chow, R.M. (2015). Matching contribution to expertise: the effect on group decision making and the role of gender composition. Paper presented at the 2015 INGRoup Conference, Pittsburgh, PA.   
  1. Woolley, A. W., Kim, Y. J., & Aggarwal, I. (2015). Using technologies to reliably measure collective intelligence of teams. Paper presented at the 2015 INGRoup Conference, Pittsburgh, PA.
  2. Vacharkulksemsuk, T., Phillips, K., Akinola, M., Woolley, A.W. & Toosi, N.R. (2014). Leveraging the value of diversity in teams: Four useful processes.  Symposium presented at the annual meeting of the Society of Experimental and Social Psychology, Columbus, OH.
  3. Engel, D., Woolley, A. W., Xing, L. X., Chabris, C. F., & Malone, T. W. (2014). Social perception and collective intelligence in online and face-to-face teams. Paper presented at the 2014 Collective Intelligence Conference, Boston, MA.
  4. Mayo, A.T., Woolley, A.W., Chang, J.W., Chow, R.M. (2014). Do women make groups smarter? Understanding the effects of gender and competition on collective intelligence. Paper presented at the 2014 INGRoup Conference, Raleigh, NC.   
  1. Woolley, A.W., Aven, B.L., Zhang, Y., O'Leary, M.B. & Mortensen, M. (2014). Multiple team membership, autonomy, and teammate novelty. Paper presented at 2014 INGRoup Conference, Raleigh, NC.
  2. Aggarwal, I., Zhang, Y., Aven, B., & Woolley, A.W. (2014) The impact of cognitive style composition on networks in emergency room teams. Paper presented at the 2014 INGRoup Conference, Raleigh, NC.
  3. Woolley, A.W., Engel, D., Xing, L., Chabris, C.F.,& Malone, T.W. (2014) Reading the mind in the eyes or reading between the lines? Theory of Mind predicts effective collaboration equally well online and off. Paper presented at the 2014 INGRoup Conference, Raleigh, NC.
  4. Aggarwal, I., Molinaro, M., Woolley, A.W. (2013).  Cognitive versatility: a new lens for understanding team diversity.  Paper presented at the 2013 INGRoup Conference, Atlanta, GA.
  5. Chang, J.W., Chow, R.M., Woolley, A.W. (2013).  The effects of group status and outcome  interdependence on information exchange and joint outcome in negotiating groups. Paper presented at the annual Conference of the International Association for Conflict Management, Tacoma, WA.
  6. Chang, J.W., Chow, R.M., Woolley, A.W. (2013).  High-status but low-performing: effects of group status on information exchange and group outcome.  Paper presented at the annual meeting of the Academy of Management, Lake Buena Vista, FL.
  7. Woolley, A.W., Aven, B.L., Zhang, E., O’Leary, M.B., Mortensen, M. (2013).  Multiple team membership over time: Social networks and how the autonomy to switch teams affects individual and team productivity. Presented at the annual meeting of the Academy of Management, Lake Buena Vista, FL.
  8. Aggarwal, I. & Woolley, A.W. (2012). Cognitive style diversity and team creativity. Paper presented at the 2012 INGRoup Conference, Chicago, IL.
  9. Lakhani, K., Boudreau, K., Gaule, P., Riedl, C., Woolley, A.W. (2012).  Catalyzing collaboration amongst strangers:  Field experimental evidence.  Paper presented at INFORMS annual meeting, Phoenix, AZ.
  10. Aggarwal, I. & Woolley, A.W. (2012). Two perspectives on intellectual capital and innovation in teams. Paper presented at the International Conference on Technology Management, Indian Institute of Science, Bangalore, India. 
  11. Aggarwal, I., Woolley, A.W., Chabris, C., & Malone, T. (2012). The effects of cognitive diversity on collective intelligence and team learning. Paper presented at the 12th Annual Trans-Atlantic Doctoral Conference, London Business School, London, England.
  12. Aggarwal, I., Woolley, A.W., Chabris, C., & Malone, T. (2012). The effects of cognitive diversity on collective intelligence and team learning. Symposium presentation at the 13th Meeting of the Society for Personality and Social Psychology, San Diego, CA.
  13. Aggarwal, I., & Woolley, A.W. (2011). The effects of members' cognitive styles on team processes and performance.  Paper presented at the 2011 INGRoup Conference, Minneapolis, MN.
  14. Aggarwal, I., Woolley, A.W., Chabris, C.F., Hashmi, N. & Malone, T.W. (2011) The relationship between collective intelligence, cognitive diversity and team learning. Paper presented at the annual meeting of the Academy of Management, San Antonio, TX.
  15. Woolley, A.W., Bear, J., Chang, J.W., DeCostanza, A.H. (2011).  The effects of team strategic orientation on team strategy and information search in competitive environments.  Paper presented at the annual meeting of the Academy of Management, San Antonio, TX.        
  1. Woolley, A.W., Lakhani, K. & Boudreau, K. (2011). From strangers to collaborators: Field experimental evidence underlying team formation for creative problem-solvers. Paper presented at the Organizational Science Winter Conference XVII, Steamboat Springs, CO.
  2. Aggarwal, I., Woolley, A.W., Chabris, C.F., Hashmi, N. & Malone, T.W. (2010). From “Is diversity good” to “How much diversity is good?” The relationship between cognitive style and collective intelligence. Paper presented at the annual meeting of the Interdisciplinary Network for Groups Research, Washington, D.C.
  3. Aggarwal, I. & Woolley, A.W. (2010).  Do you see what I see? The effect of members’ cognitive styles on team processes and performance. Presented at the annual meeting of the Academy of Management, Montreal, Quebec, Canada.
  4. Bear, J. & Woolley, A.W. (2010). Don’t talk about it: Active avoidance in organizations. Presented at the annual meeting of the Academy of Management, Montreal, Quebec, Canada.
  5. O’Leary, M.B., Mortensen, M., & Woolley, A.W. (2010). Multiple team membership: A theoretical model of its effects on productivity and learning for individuals, teams, and organizations. Paper presented at 2010 INGRoup Conference, Washington, D.C.
  6. Woolley, A.W., Bear, J., Chang, J.W., & Hunter, A. (2010). Shifting Gears: The Effects of Strategic Orientation on Situational Perceptions and Information Search in Teams. Paper presented at the 2010 INGRoup Conference, Washington, D.C.
  7. Woolley, A.W. (2009) A process model of strategic orientation in competitive environments. Paper presented at the annual meeting of the Academy of Management, Chicago, IL.
  8. Woolley, A.W. & Aggarwal, I. (2009) Which side are you on? Offense vs. defense and team process. Paper presented at the 2009 INGRoup Conference, Colorado Springs, CO.
  9. Woolley, A.W., Malone, T., Chabris, C.F. (2009) Measuring Collective Intelligence. Paper presented at the 2009 INGRoup Conference, Colorado Springs, CO.
  10. Woolley, A.W. (2008)  Why does it seem easier to be the bad guy? A process model of strategic orientation in teams on offense and defense.  Paper presented at the 2008 INGRoup Conference, Kansas City, MI.
  11. O’Leary, M.B.,Woolley, A.W., Mortensen, M. (2008) Multiple team membership in organizations. Paper presented at the 2008 INGRoup Conference, Kansas City, MI.
  12. Woolley, A.W.  (2007) Putting first things first:  Task focus and team performance. Paper presented at the annual meeting of the Academy of Management, Philadelphia, PA.
  13. Woolley, A.W., Mortensen, M., O’Leary, M.B. (2007) Projects, priorities, and possibilities:  The benefits and challenges of multiple team membership. Paper presented at the annual meeting of the Academy of Management, Philadelphia, PA.
  14. Woolley, A. W., Gerbasi, M. E., Chabris, C. F., Kosslyn, S. M., & Hackman, J. R. (2007). What does it take to figure out what is going on?  How team composition and work strategy jointly shape analytic effectiveness. Paper presented at the 2007 INGRoup Conference, Lansing, MI.
  15. Mortensen, M., O’Leary, M.B. & Woolley, A.W. (2007).  Projects, priorities, and possibilities:  The benefits and challenges of multiple team membership.  Paper presented at the 2007 INGRoup Conference, Lansing, MI.
  16. O’Leary, M.B., Mortensen, M., & Woolley, A.W. (2007).  Enhanced opportunities, conflicting priorities:  The benefits and challenges of multiple team membership.  Paper presented at the Organization Science 2007 Winter Conference, Steamboat, CO.  
  17. Woolley, A.W. & Hackman, J.R. (2006).  Analytic collaboration in the medical, financial, and intelligence communities.  Paper presented at the annual meeting of the Academy of Management, Atlanta, GA.
  18. Woolley, A.W. & Hackman, J.R. (2006).  Analytic zones in organizations. Paper presented at the 2006 INGRoup Conference, Pittsburgh, PA.
  19. Woolley, A. W.  (2004) Antecedents and consequences of procedural orientation.  Paper presented at the annual meeting of the Academy of Management, New Orleans, LA.
  20. Woolley, A.W. (2003).  Procedural orientation in task-performing teams.  Paper presented at the annual meeting of the Academy of Management, Seattle, WA.
  21. Woolley, A.W. (2003).  Chapter Enrichment Program teams at the American Red Cross.  Paper presented at the annual meeting of the Academy of Management, Seattle, WA.
  22. Woolley, A.W. (2001).  The unanticipated consequences of clear work procedures on shared goal priorities.  Paper presented at the annual meeting of the Academy of Management, Washington, D.C.
  23. Edmondson, A.C. & Woolley, A.W.  (1999). It’s not the seed, it’s the soil:  Social psychological influences on the efficacy of an organizational learning intervention.  Paper presented at the annual meeting of the Academy of Management, Chicago, IL.

PROFESSIONAL ACTIVITIES

Plenary Talks and Symposia

Scientific Advisory Boards

Membership In Professional Societies

FELLOWSHIPS AND AWARDS

RESEARCH GRANTS AND CONTRACTS

Awarded to Date (In Reverse Chronological Order)

  1. AgInteracT: LLM-based Human-AI Teaming Simulation Environment: This two-year project is focused on evaluating the collaboration dynamics of human-AI and AI-AI collaboration to determine the fidelity of AI-based simulations of human collaborative behavior.

  1. The AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING): This five-year, multi-university research institute aims to establish a discipline focused on longitudinal collaborative AI – a field characterized by the design, development, and deployment of interactive, intelligent systems embedded within communities of users over extended periods of time (months and years). The immediate use case will focus on helping the growing population of older adults to “age in place” by developing integrative, interactive systems that help people sustain independence and improve the effectiveness of care coordination across family, community, and professionals.

  1. An Integrated Theory of Human-Machine Teaming: We use human experiments and computational modeling to inform the development of artificially intelligent advisors and team members who can model human mental states to provide interventions to make teams more effective. 

  1. Cultivating Collective Intelligence in Human-Computer Systems: In this project we examined the individual characteristics that most readily lead to collective intelligence in teams, as well as the technological tools that will most readily enhance it.

  1. Tasks and Transitions: An investigation of Transactive Memory Systems in Teams Performing Multi-Task Activities:  This project will explore the effects of task type and sequencing on the formation of transactive memory systems (TMS) in groups, as well as the connection between TMS and collective intelligence.

  1. Cultivating Collective Intelligence in Teams at PNC: Team performance is increasingly important to the viability of financial and professional service firms.  This project will make use of HR data to examine performance of teams at PNC for factors predicting collective intelligence—or performance capability emerging from the coordination and collaboration of team members, varying from expectations given the competitive environment and capabilities of team members.  We will examine archival data sources to identify the degree to which unexplained variance exists in team performance, and factors that may account for it such as team member characteristics and team communication and collaboration practices.  In a third phase of the project, to be informed by analyses carried out in Phases I and II, we propose to collect additional information via interviews, observations, or surveys to further understand factors accounting for variance in collective intelligence at PNC and identify potential levers for management intervention.

  1. Toward Determining the Optimal Size of Operational Units: In this project, we investigated the effect of using larger groups (above 20 members) on collective intelligence.

  1. Improving Collective Intelligence: Investigating Group Structure and Composition:  Building on previous work by the investigators, the project more systematically evaluated the effect of group gender composition and the impact of status competition on collective intelligence.

  1. Measuring and Modeling Collective Intelligence: In this project, we  investigated collective intelligence in online groups. Data collected in the lab also supported initial computational modeling to explore how other changes in group structure (e.g. size, incentives, resources) would further alter collective intelligence.

  1. Measuring Collective Intelligence: In this project we continued to develop the test of collective intelligence into an online platform to support data collection in both face-to-face and distributed groups.

  1. Measuring Collective Intelligence in Human-Machine Systems:  This project built pilot data collected previously to explore how the construct of collective intelligence generalizes to groups of different sizes as well as online groups.  The intended final product is a short test battery that can be used to measure collective intelligence and predict performance of teams on a wide range of tasks.

  1. The Implications of Playing Offense Versus Defense for Team Information Processing and Performance: This project was an investigation of the effects of offensive and defensive strategic orientation on team information processing and decision making.  This grant is funding both laboratory and field research of these effects in both civilian and military populations.

STUDENT SUPERVISION

Undergraduate Student Supervision (at Carnegie Mellon)

  1. Cho-Lin Leung, Honors Thesis (AY 2022-23)
  2. Ping-Ya Chao, Honors Thesis, “Transactivity and Negotiation” (AY 2021-22)
  3. Yufei Zhang, Independent Study (Fall 2018)

Doctoral Thesis Committee Chair or co-Chair (at Tepper/CMU unless otherwise noted)

  1. Ishani Aggarwal (Ph.D., 2013; currently Assistant Professor, Brazilian School of Public and Business Administration)
  2. Jin Wook Chang (Ph.D., 2015; currently Assistant Professor, Korea University)
  3. Anna Mayo (Ph.D., 2019; currently Assistant Professor, Heinz College, CMU)
  4. Pranav Gupta (Ph.D., 2022; currently Assistant Professor, Gies School of Business, University of Illinois Urbana-Champaign)
  5. Benjamin Ostrowski (Ph.D., 2022)
  6. Ki-Won Haan (current Ph.D student, expected graduation in 2023)
  7. Allen Brown (current Ph.D. student)
  8. Andrew Kuznetsov (Thesis committee co-chair, Human-Computer Interaction)

Thesis Committee Member/Summer Paper Reader (at Tepper/CMU unless otherwise noted)

  1. Gergana Todorova (Thesis committee member, Ph.D. 2011)
  2. Benjamin Collier (Thesis committee member, Ph.D. 2012)
  3. Joshua Fetterman (Member, Thesis Committee, Dept of Psychology, University of Pittsburgh, PhD 2012)
  4. Kenneth Goh (Thesis committee member, Ph.D., 2013)
  5. Peter Simon (Thesis committee member, Dept. of Engineering, 2014)
  6. Courtney Williamson (First and second year paper reader, Ph.D., 2015)
  7. Jonathan Kush (Thesis committee member, Ph.D., 2016)
  8. Erin Fahrenkopf (Thesis committee member, Ph.D., 2017)
  9. Nada Hashmi (Member, Thesis Committee, Sloan School of Business, MIT, Ph.D. 2017 )
  10. Matthew Diabes (First year paper reader, 2017)
  11. Elijah Mayfield (Thesis committee member, School of Computer Science, Ph.D. 2020)
  12. Elizabeth Campbell (Thesis committee member, Ph.D. 2021)

Postdoctoral fellow supervision

  1. David Engel (2011-2014; next position: researcher at Google)
  2. Young Ji Kim (2014-2017; next position: Assistant Professor at UC Santa Barbara)
  3. Ella Glikson (2017-2019; next position: Assistant Professor at Bar-Ilan University, Israel)
  4. Fade Eadeh (2019-2022; next position: Assistant Professor at Seattle University)
  5. Christopher Dishop (2022-pres)

PROFESSIONAL SERVICE

Scientific/professional journals

Professional meetings (conference/symposium)

Scientific review panels

TEPPER/CARNEGIE MELLON SERVICE (SELECTED)

Tepper School of Business

Other Carnegie Mellon