Kellogg Chair of Technology at Kellogg, Founding director, Center for Science of Science and Innovation, Northwestern University
Evanston, IL
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🔥Download the Science of Science book for FREE🔥
We're VERY excited to make the whole book freely available: dashunwang.com/book/the-scie…
Please help us RT & let everyone know of this resource!
#ScienceOfScience
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Dashun Wang retweeted
Excited to share our new paper in Science: “Disorder-promoted stability.”
It shows when heterogeneity across nodes—or interactions—can make complex networks more stable, with implications for ecosystems, power grids, materials, and beyond.
science.org/doi/10.1126/scie…
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Dashun Wang retweeted
Introducing: Time Machine Experiments 🚀 ⏳
in which participants 'travel' to the past, and interact with a mind from the year 1930 (simulated by an AI with knowledge cut-off).
Preprint: arxiv.org/pdf/2609.15468
This is an example of what we recently called "Science Fiction Science" (Sci-Fi-Sci)
Led by our @Max_Planck_CHM member @hiromu1996 @schimmelrob and Ezequiel Lopez-Lopez, together with @LevinBrinkmann Alejandro H. Artiles and Jean-Francois Bonnefon @azimshariff
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wow @benedictevans is on fire this week: "In other words, the common factor in all of these manifestos and tweets is that the first half always makes a bunch of terrifying assertions about the way the world is going to change, and the second half, where they propose their remedies, demonstrates that the author doesn’t understand anything about the ways the world actually changes."
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Dashun Wang retweeted
Is AI-assisted writing having an impact on research funding?
Using data from @DSDimensions, this study published in @PNASNews looks into how U.S. federal agencies are funding research in the age of LLMs.
Led by @dashunwang & @qian_yifan:
doi.org/10.1073/pnas.2601439…
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Dashun Wang retweeted
While #AI is increasing the quantity of studies scientists can produce, it may also be narrowing the breadth of discovery. 🕵️♂️
A new @KelloggSchool study examines how large language model use is reshaping the public funding landscape: spr.ly/6015B1qHWz
ALT Graphic that features a quote from study co-author Dashun Wang. It reads: \"Science advances by exploring ideas that don\u2019t yet look obvious. If AI increasingly learns from yesterday\u2019s successful proposals, one of the questions we should ask is whether tomorrow\u2019s scientific portfolio becomes less adventurous.\"
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Dashun Wang retweeted
The Legibility Gap: How Gender Equity Interventions Redistribute Recognition Across Cultures arxiv.org/abs/2608.20827
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Dashun Wang retweeted
Students/young researchers -
If you're interested in AI/ML applied to bibliometric and science-of-science problems, and can work for a US-based startup, I'd love to talk to you about some cool @RefineDotInk projects
Please DM me or email ben@refine.ink
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Exciting faculty opening at Northwestern's McCormick School of Engineering, in partnership with Northwestern Innovation Institute. This candidate can be placed in any department within the Engineering school, with initial preference in IEMS or ESAM. It's open-ranked with a preference for senior candidates. I'm chairing the committee with @noshir and Danny Abrams. Please help us spread the word! and please feel free to get in touch if interested!
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Matt Marx (@marxmatt), professor of entrepreneurship and innovation in the SC Johnson College of Business, is @Cornell’s new vice provost for entrepreneurship, innovation and external engagement. His appointment begins July 1. @CornellDyson news.cornell.edu/stories/202…
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Exciting tenure-line hiring at @KelloggSchool!! Led by Northwestern Innovation Institute. Open to all ranks, including junior, adv junior, and senior. Can be hosted in any Kellogg dept as the tenure home. focus area: innovation / science of science / AI.
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Note the timeline is different than typical b-school timelines - we will start reviewing applications by July! I'm chairing the search. Please apply soon if interested! And get in touch if you want to chat!
More info: facultyrecruiting.northweste…
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Very well argued and articulate - from @pierre_azoulay in @ScienceMagazine today: science.org/doi/10.1126/scie…
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fantastic work by an awesome group of people! bravo! check it out!!
✨New paper out @SpringerNature✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we custom-built. Do engagement-based algorithms amplify intergroup, moral & emotional content + does that distort how we see political norms? 🧵
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Wonderful new work by Eddie and team! Wow!! 🤩
New paper in Nature. The more a government controls its domestic media, the more it dominates AI training data, the more pro-regime outputs we get from AI. By scraping the open web, LLMs are unwittingly laundering state-coordinated narratives into seemingly objective answers.
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Another hit from @yian_yin's lab! this time, super timely, important, and scary!!!
📄 Excited to share our latest preprint: the first cross-field audit of LLM-hallucinated citations in science
⚠️ Across arXiv, bioRxiv, SSRN & PMC, we estimate 147K fake citations in 2025 alone — threatening both the quality and equity of scientific work.
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Dashun Wang retweeted
Dashun Wang talking 'airplanes for the mind'
🛩️ are heavier than air, but can fly faster than sound—remind you of another technology that "shouldn't" be able to work, but does?
Excited to announce the 2026 iteration of the Communication & Intelligence Symposium at UChicago!
We have an amazing lineup of speakers @Diyi_Yang @johnhewtt @dashunwang @TomerUllman
We have a simple call for abstract that is due on Apr 15 (links 👇). Please come and share your research!
Co-organized with the awesome @universeinanegg and @divingwithorcas
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Fascinating - Newton's gravity law turns out to be ... correct! largest scale validation. 3 centuries later, are we still doing Newton's homework for us?
science.org/content/article/…
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Fantastic analysis from journal submission data. It is also encouraging to see key findings from our recent @ScienceMagazine paper on #AI impact on science — increased productivity, more complex scientific writing, and emerging quality concerns — echoed in this setting.
How are large language models impacting the submission and review process at high-impact journals? Severely.
Since the release of ChatGPT in 2022, AI-generated and AI-assisted papers, identified by Pangram, drove a 42% increase in submission volume at Organization Science (figure below). While the journal rejected the majority of these submissions, there is a human cost to reviewing papers, which volunteer reviewers are shouldering. AI-generated content is also showing up in reviews, which similarly suffer in quality because of it -- editors at Organization Science found that AI-generated reviews are lower quality, less specific, and less topically diverse than human-written ones.
The problem is not isolated. Earlier this year, ICML desk-rejected 497 papers from authors who submitted AI-generated reviews, after those authors opted into a policy that disallowed the use of AI. Grant funders also saw a surge in applications: the Marie Skłodowska-Curie Actions, a set of major research fellowships for the EU, received 142% more proposals in 2025 compared to 2022.
Many scientific and academic systems implicitly rely on friction as a barrier to entry. LLMs have removed that friction, allowing for a deluge of AI slop that is straining the capacity of these institutions.
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