
Dashun Wang
· Kellogg Chair of Technology; Professor of Management & Organizations; Professor of Industrial Engineering & Management Sciences; Director, Center for Science of Science and Innovation (CSSI); Co-Director, Ryan Institute on Complexity; Director, Northwestern Innovation Institute; Courtesy Appointment, Weinberg College Department of Physics & AstronomyNorthwestern University · Management & Organizations
Active 2001–2026
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About
Dashun Wang is the Kellogg Chair of Technology and a Professor at the Kellogg School of Management, as well as a Professor of Management & Organizations and of Industrial Engineering & Management Sciences at Northwestern University. He is the Founding Director of the Northwestern Innovation Institute, the Founding Co-Director of the Ryan Institute on Complexity, and the Founding Director of the Center for Science of Science and Innovation (CSSI). Additionally, he is a core faculty member at the Northwestern Institute on Complex Systems (NICO). His research focuses on the Science of Science, aiming to apply scientific methods and curiosity to understand science itself. He develops and utilizes tools from complexity sciences and artificial intelligence to explore the opportunities presented by the recent explosion of data in science. His work has been published in prominent journals such as Nature, Science, PNAS, and others, and has been featured in major media outlets including The New York Times, Wall Street Journal, and Harvard Business Review. Wang has received multiple awards for his research and teaching, including the AFOSR Young Investigator award, Poets & Quants Best 40 Under 40 Professors, and the Erdos-Renyi Prize, among others.
Research topics
- Political Science
- Computer Science
- Sociology
- Psychology
- Data science
- Social Science
- Medicine
- Engineering
- Social psychology
- History
Selected publications
Unequal effects of the COVID-19 pandemic on scientists
Nature Human Behaviour · 2020 · 728 citations
Senior authorCorresponding2021 · 208 citations
1st authorCorrespondingThis is the first comprehensive overview of the 'science of science,' an emerging interdisciplinary field that relies on big data to unveil the reproducible patterns that govern individual scientific careers and the workings of science. It explores the roots of scientific impact, the role of productivity and creativity, when and what kind of collaborations are effective, the impact of failure and success in a scientific career, and what metrics can tell us about the fundamental workings of scien…
Potentially long-lasting effects of the pandemic on scientists
Nature Communications · 2021 · 175 citations
Senior authorCorrespondingTwo surveys of principal investigators conducted between April 2020 and January 2021 reveal that while the COVID-19 pandemic’s initial impacts on scientists’ research time seem alleviated, there has been a decline in the rate of initiating new projects. This dimension of impact disproportionately affects female scientists and those with young children and appears to be homogeneous across fields. These findings may have implications for understanding the long-term effects of the pandemic on scien…
Understanding the onset of hot streaks across artistic, cultural, and scientific careers
Nature Communications · 2021 · 77 citations
Senior authorCorrespondingHot streaks dominate the main impact of creative careers. Despite their ubiquitous nature across a wide range of creative domains, it remains unclear if there is any regularity underlying the beginning of hot streaks. Here, we develop computational methods using deep learning and network science and apply them to novel, large-scale datasets tracing the career outputs of artists, film directors, and scientists, allowing us to build high-dimensional representations of the artworks, films, and scie…
Quantifying the use and potential benefits of artificial intelligence in scientific research
Nature Human Behaviour · 2024-10-11 · 52 citations
articleOpen accessSenior author
Recent grants
APTO: Measuring, Understanding, Predicting, and Accelerating Technology Outcomes
NSF · $8.0M · 2024–2029
Collaborative Research: Understanding Team Success and Failure
NSF · $250k · 2018–2021
Frequent coauthors
- 74 shared
Albert‐László Barabási
- 34 shared
Yian Yin
Cornell University
- 24 shared
Benjamin F. Jones
- 24 shared
Chaoming Song
University of Miami
- 16 shared
Karim R. Lakhani
- 11 shared
Lu Liu
Northwestern University
- 11 shared
James A. Evans
University of Chicago
- 11 shared
Brian Uzzi
McCormick (United States)
Awards & honors
- AFOSR Young Investigator award
- Poets & Quants Best 40 Under 40 Professors
- Junior Scientific Award from the Complex Systems Society
- Erdos-Renyi Prize
- Thinkers50 Radar 2021
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