Grants per year
Personal profile
Research Interests
Brian Uzzi is a globally recognized scientist, teacher, consultant and speaker on leadership, social networks, data science, artifical intelligence and machine learning. His research uses social network science and computational methods to predict outstanding human achievement.
Education/Academic qualification
Sociology, PhD, State University of New York at Stony Brook
… → 1994
MA, State University of New York at Stony Brook
… → 1991
Organizational Psychology, MS, Carnegie Mellon University
… → 1989
Business Economics, BA, Hofstra University
… → 1982
Research interests keywords
- Behavioral finance
- Creativity and innovation
- Innovation
- Social media
- Social networks
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Grants
- 16 Finished
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Collaborative Research: Identifying Reproducible Research Using Human-in-the-loop Machine Learning
9/1/20 → 8/31/22
Project: Research project
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EAGER: Collaborative Research: Group Dynamics and Success in Science and Research
9/1/17 → 8/31/19
Project: Research project
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Forecasting Emergent Phenomena with Human Computer Collaboration
Rensselaer Polytechnic Institute, Army Research Office
8/18/16 → 8/17/20
Project: Research project
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Team Dynamics, Networks, and Assembly (Team DNA)
University of California, Los Angeles, National Institute of General Medical Sciences
2/15/16 → 1/31/22
Project: Research project
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QUANTA: Quantitative Network-based Models of Adaptive Team Behavior
University of California, Santa Barbara, Army Research Office
9/15/15 → 4/14/21
Project: Research project
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A discipline-wide investigation of the replicability of Psychology papers over the past two decades
Youyou, W., Yang, Y. & Uzzi, B., Feb 7 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 6, e2208863120.Research output: Contribution to journal › Article › peer-review
Open Access10 Scopus citations -
Data, measurement and empirical methods in the science of science
Liu, L., Jones, B. F., Uzzi, B. & Wang, D., Jul 2023, In: Nature human behaviour. 7, 7, p. 1046-1058 13 p.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
Hidden Indicators of Collective Intelligence in Crowdfunding
Horvát, E. Á., Dambanemuya, H. K., Uparna, J. & Uzzi, B., Apr 30 2023, ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, Inc, p. 3806-3815 10 p. (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Reply to Crocket et al. and Mottelson and Kontogiorgos: Machine Learning's scientific significance and future impact on replicability research
Youyou, W., Yang, Y. & Uzzi, B., Aug 15 2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 33, p. e2308195120Research output: Contribution to journal › Article › peer-review
Open Access -
An Exploratory Study of Stock Price Movements from Earnings Calls
Medya, S., Rasoolinejad, M., Yang, Y. & Uzzi, B., Apr 25 2022, WWW 2022 - Companion Proceedings of the Web Conference 2022. Association for Computing Machinery, Inc, p. 20-31 12 p. (WWW 2022 - Companion Proceedings of the Web Conference 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
Datasets
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Importance of scientific collaboration in contemporary drug discovery and development: a detailed network analysis
Cheng, F. (Contributor), Ma, Y. (Contributor), Uzzi, B. (Creator), Loscalzo, J. (Creator), Feixiong, C. (Contributor) & Uzzi, B. (Creator), figshare, 2020
DOI: 10.6084/m9.figshare.c.5174119.v1, https://springernature.figshare.com/collections/Importance_of_scientific_collaboration_in_contemporary_drug_discovery_and_development_a_detailed_network_analysis/5174119/1
Dataset