Project Managers Facilitate Interdisciplinary Collaboration in AI Research. Dalmeijer, K., Robinson, T., Cambridge, D., Gottron, N., LaFleur, M., Hulbert, C., Lederer, L. D, Mylonas, S., Wilson, M., Runton, R., Savardekar, N., Bell, J. M P, Berti, A., Chan, K. X., Jayaraman, S., Liu, J., Mhatre, P., Ou, C., Rodriguez, M., Schroeder, N. L, Whorley, J P, & Love, H. B February, 2026. ![Project Managers Facilitate Interdisciplinary Collaboration in AI Research [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Artificial Intelligence (AI) research increasingly relies on large, interdisciplinary teams to address complex societal challenges. However, coordinating these team science efforts presents challenges such as communication barriers and operational inefficiencies. This paper analyzes insights from project managers (PMs) across 25 U.S. National AI Research Institutes, examining how PMs foster collective intelligence, strengthen group dynamics, improve operational efficiency, and cultivate cross-disciplinary relationships. This work demonstrates that PMs can play a pivotal role in accelerating research outcomes, with recommendations for funding agencies, academic institutions, and research organizations on how to integrate and support project management to increase the impact of scientific teams. Although grounded in the context of AI research, these findings have broader relevance for large-scale, interdisciplinary research initiatives across the sciences.
@misc{dalmeijer_project_2026,
address = {Atlanta, GA},
title = {Project {Managers} {Facilitate} {Interdisciplinary} {Collaboration} in {AI} {Research}},
url = {https://ssrn.com/abstract=6361038},
doi = {https://dx.doi.org/10.2139/ssrn.6361038},
abstract = {Artificial Intelligence (AI) research increasingly relies on large, interdisciplinary teams to address complex societal challenges. However, coordinating these team science efforts presents challenges such as communication barriers and operational inefficiencies. This paper analyzes insights from project managers (PMs) across 25 U.S. National AI Research Institutes, examining how PMs foster collective intelligence, strengthen group dynamics, improve operational efficiency, and cultivate cross-disciplinary relationships. This work demonstrates that PMs can play a pivotal role in accelerating research outcomes, with recommendations for funding agencies, academic institutions, and research organizations on how to integrate and support project management to increase the impact of scientific teams. Although grounded in the context of AI research, these findings have broader relevance for large-scale, interdisciplinary research initiatives across the sciences.},
language = {en},
urldate = {2026-04-06},
author = {Dalmeijer, Kevin and Robinson, Tim and Cambridge, Darren and Gottron, Norman and LaFleur, Marisa and Hulbert, Candace and Lederer, Lauren D and Mylonas, Spyridon and Wilson, Melissa and Runton, Rajashi and Savardekar, Neelima and Bell, Jessica M P and Berti, Angela and Chan, Kher Xing and Jayaraman, Siva and Liu, Jia and Mhatre, Pratik and Ou, Chaohua and Rodriguez, Melanie and Schroeder, Noah L and Whorley, J P and Love, Hannah B},
month = feb,
year = {2026},
}
Downloads: 0
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However, coordinating these team science efforts presents challenges such as communication barriers and operational inefficiencies. This paper analyzes insights from project managers (PMs) across 25 U.S. National AI Research Institutes, examining how PMs foster collective intelligence, strengthen group dynamics, improve operational efficiency, and cultivate cross-disciplinary relationships. This work demonstrates that PMs can play a pivotal role in accelerating research outcomes, with recommendations for funding agencies, academic institutions, and research organizations on how to integrate and support project management to increase the impact of scientific teams. 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