Hao Peng (彭浩)
Postdoctoral Fellow @ NICO
Kellogg School of Management
hao.peng@kellogg.northwestern.edu
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About
Hao Peng is a Postdoc at the Kellogg School of Management. He works with Brian Uzzi at the Northwestern Institute on Complex Systems.
His research is in computational social science, social networks, and innovation management. He studies the dissemination of innovation, AI for scientific advancement, and diversity in science & business. His research aims to generate novel insights that can help organizations leverage the full potential of human capital and machine intelligence to
accelerate discoveries and breakthroughs.
Dr. Peng holds a Ph.D. from University of Michigan School of Information and a BS in Information Management from Sun Yat-sen University.
His work has been published in top venues such as PNAS and Science Advances, and reported by international media outlets including The Washington Post, Le Monde, and New Scientist. His scholarship has won top awards and prizes from 2019 SciPy Conference and 2021 Annual Meeting of the Association for Information Science and Technology.
Updates
- 04/2024: I will join the School of Data Science at City University of Hong Kong as an Assistant Professor this year!
- 03/2024: Check out my interview with Science Magazine about our paper on ethnic disparities in science news reporting!
- 01/2024: Super excited about my WED@NICO talk on why and how to facilitate idea adoption in science!
- 01/2024: New paper studying author names and how often they are (un)mentioned in science news published in QSS.
- 09/2022: New paper studying novelty and acceptance published in PNAS!
- 04/2022: New paper studying retracted papers and their misinformation published in PNAS!
- 10/2021: Our team won the best paper award of SIG/MET at ASIS&T 2021!
- 02/2021: New paper accepted by Science Advances! Check out this interactive map of innovation landscape.
- 11/2020: New paper studying the speed of information diffusion accepted by PRE!
- 09/2020: New Scientist wrote a story about our paper on ethnic bias in author mentions in science reporting!
- 09/2019: Our Echo Demo won the 2nd Prize in the John Hunter Excellence in Plotting Contest at SciPy 2019!
Preprints
* denotes equal contribution.
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Promotional Language and the Adoption of Innovative Ideas in Science
Hao Peng*, Huilian Sophie Qiu*, Henrik Barslund Fosse, Brian Uzzi
[R&R at PNAS]
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The Gender Gap in Scholarly Self-Promotion on Social Media
Hao Peng, Misha Teplitskiy, Daniel M. Romero, Emőke-Ágnes Horvát
[In Review] | arXiv
Selected Publications
Please visit my Google Scholar profile for more details.
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Author Mentions in Science News Reveal Widespread Disparities Across Name-inferred Ethnicities
Hao Peng, Misha Teplitskiy, David Jurgens
Quantitative Science Studies 1-23 (2024)
Link
Press: New Scientist | Science Magazine | The Conversation | Fast Company | LSE Impact Blog
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Is Novel Research Worth Doing? Evidence From Peer Review at 49 Journals
Misha Teplitskiy, Hao Peng, Andrea Blasco, Karim R. Lakhani
PNAS 119, e2118046119 (2022)
Link | PDF
Press: Michigan News
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Dynamics of Cross-Platform Attention to Retracted Papers
Hao Peng, Daniel M. Romero, Emőke-Ágnes Horvát
PNAS 119, e2119086119 (2022)
Link | PDF
Press: Washington Post | Le Monde | Deutschlandfunk | Northwestern Now | Inside Higher ED | Retraction Watch
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Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations
Hao Peng, Qing Ke, Ceren Budak, Daniel M. Romero, Yong-Yeol Ahn
Science Advances 7, eabb9004 (2021)
Link | PDF | Map
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Network Modularity Controls the Speed of Information Diffusion
Hao Peng, Azadeh Nematzadeh, Daniel M. Romero, Emilio Ferrara
Physical Review E 102, 052316 (2020)
Link | PDF
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Social Influence and Unfollowing Accelerate the Emergence of Echo Chambers
Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer
Journal of Computational Social Science (2020)
Link | Demo
Press: Scientific American | The Conversation | Altmetric Page
Fun
On my free time, I enjoy workout and travel. I shoot street and portrait photography. I love many kinds of authentic food.