John Meluso, PhD

Systems Engineer & Organization Scientist

Sloan VERSO Postdoctoral Fellow for Systems, Organizations, and Inclusion
Vermont Complex Systems Center
University of Vermont


Hello and welcome! I'm John Meluso (he/him, they/them). I study complex systems of people and technologies as networks.

I'm the Sloan VERSO Postdoctoral Fellow for Systems, Organizations, and Inclusion at the Vermont Complex Systems Center at the University of Vermont where I work with Laurent Hébert-Dufresne. I completed my Doctorate of Philosophy at the University of Michigan in Design Science. At U-M, I studied Complex System Design with Jesse Austin-Breneman and Management & Organizations with Jose Uribe. Also on my committee were Scott Page and Lynette Shaw.

I value making a difference in the lives of people, from improving all kinds of complex engineered systems that pervade modern society, to determining (and addressing) the root causes of toxic cultures in organizations, and designing more inclusive work systems for a hybrid world. I'm always open to collaborating and mentoring, so don't hesitate to reach out!

Disciplines: systems engineering, management & organizations, complex systems, communication, computer science, design
Methods: network science, agent-based modeling, optimization, data science, interviews, surveys, ethnography
Topics: collective performance, organization science, computational social science, data science, inclusion, organizational culture, open source, feminism, virtual collaboration, information & communication technology, miscommunication
Industries: aerospace, automotive, consumer goods, software, healthcare, management
Personal interests: podcasts, bunnies, coffee, science fiction, community, authenticity, mindfulness, privacy, balance

Publications Under Review

  1. Meluso, J. & Hébert-Dufresne, L. In Review. Indirect social learning through collective performance favors decentralization. ArXiv:2208.11618 [Nlin, Physics:Physics]. [view | download | online]

  2. Hébert-Dufresne, L., St-Onge, G., Meluso, J., Bagrow, J., & Allard, A. In Review. Hierarchical team structure and multidimensional localization (or siloing) on networks. ArXiv:2203.00745 [Nlin, Physics:Physics]. [view | download | online]

Refereed Publications

  1. Uribe, J., Carnahan, S., Meluso, J., & Austin-Breneman, J. 2022. How Do Managers Evaluate Individual Contributions to Team Production? A Theory and Empirical Test. Strategic Management Journal, n/a(n/a). [view | download | online]

  2. Meluso, J., Austin-Breneman, J., Bagrow, J. P., & Hébert-Dufresne, L. 2022. A Review and Framework for Modeling Complex Engineered System Development Processes. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1–13. [view | download | online]

  3. Meluso, J., Johnson, S., & Bagrow, J. 2022. Flexible environments for hybrid collaboration: redesigning virtual working through the four orders of design. Design Issues, 38(1): 55–69. [view | download | online]

  4. Meluso, J., Austin-Breneman, J., & Shaw, L. 2020. An agent-based model of miscommunication in complex system engineering organizations. IEEE Systems Journal, 14(3): 3463–3474. [view | download | online]

  5. Meluso, J., Austin-Breneman, J., & Uribe, J. 2020. Estimate uncertainty: miscommunication about definitions of engineering terminology. Journal of Mechanical Design, 142(7). [view | download | online]

  6. Meluso, J., & Austin-Breneman, J. 2018. Gaming the system: an agent-based model of estimation strategies and their effects on system performance. Journal of Mechanical Design, 140(12): 121101–121109. [view | download | online]

Lightly-Refereed Publications

  1. Meluso, J., Bagrow, J., Hébert-Dufresne, L., & Razzante, R. 2022. Masculinity contest cultures and inclusive cultures: insights from an agent-based model of organizational socialization and promotion. In E. B. King, Q. M. Roberson, & M. Hebl (Eds.), The Future of Scholarship on Diversity and Inclusion in Organizations, vol. 4. Information Age Publishing, Inc. [view | download | online]

Invited Publications

  1. Meluso, J. 2022. Model supports storied social network theory. Nature Computational Science, 2(8): 471–472. [view | download | online]