Computational Social Science, Network Scientist
Northwestern University
Joined April 2017
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Please check our new paper!
🎓 Deeply grateful to my wonderful collaborators: @chingjin120, Chaoming Song, Johannes Bjelland, @UzziLeadership and @dashunwang.
📄 Quantifying the Dynamics of Network Detachment Across Scientific, Technological, Commercial, and Pharmacological Domains
doi.org/10.1002/advs.78029
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Ching Jin retweeted
📢 After a five-year journey, our paper is finally out in Advanced Science!
A large literature on innovation asks how new ideas, technologies and products become widely adopted. But how do people detach from an innovation, and why does that sometimes happen almost overnight? 🧵
Ching Jin retweeted
Excited to be organizing the three-day symposium, Assessing and Imagining the Impact of GenAI on Science, with @aj_alvero and colleagues at Cornell!
Scientists are already using generative artificial intelligence (GenAI) to draft papers, analyze data and generate hypotheses, but how is this technology changing the process of scientific discovery, and what should be its role going forward?
To explore these questions, the Assessing and Imagining the Impact of Generative AI on Science Symposium will feature diverse experts from across Cornell, academia and industry engaging in discussions of how GenAI is being used in research, and the implications for policy, funding and the public trust.
The symposium will be held March 3-5 in Gates Hall and the Computing and Information Science Building.
@Cornell_Bowers @CornellRsrch @CornellCAS @CornellCALS
More: news.cornell.edu/stories/202….
ALT A glowing light bulb with the letters "AI" inside sits atop a computer chip surrounded by intricate circuitry, symbolizing artificial intelligence.
✨ Thrilled to be part of this journey! new insights into prizes, recognition, and discovery
This #nobelprize2025 we ask: recognition first—or innovation?
Check our study for the answers:
The distinctive innovation patterns and network embeddedness of scientific prizewinners @PNASNews pnas.org/doi/10.1073/pnas.24…
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Ching Jin retweeted
I'm releasing the v2.0 version of my guide on using LLM (mainly OpenAI models) for computational social science tasks. Major changes:
- Adopt the new Responses API.
- Better handling of the structured output.
Link below. Please star if you find it useful~
I'm Hiring: Postdoc at Warwick
Join me to delve into the study of Scientific Prize. Successful candidate will work closely with me at Warwick, and will have the opportunity to collaborate with leading scientists at Northwestern, Cornell and many more.
warwick-careers.tal.net/vx/c…
Ching Jin retweeted
How do humans of today think and feel differently than humans of the past? This week, @TesCharlesworth joins #WedatNICO to discuss mapping long-term changes in attitudes and stereotypes using empirical records.
🗓️ Wed 11/15 at 12pm US Central
🔗 bit.ly/WedatNICO
Ching Jin retweeted
"The History of our Minds: Evidence for Co-Evolution of Cultural and Psychological Processes". This week, @josh_c_jackson joins our speaker series to discuss new methods of studying the “psychological fossil record".
🗓️ Wed 10/25 at 12pm US Central
🔗 bit.ly/WedatNICO
Ching Jin retweeted
Announcing our fall seminar speakers! 🍂 Starting 9/27 w/ talks by @ComplexGates, Raissa D'Souza, Satoru Suzuki, @yian_yin, @josh_c_jackson, @malcolmmaciver, @VickyCYang and @TesCharlesworth. Join us each Wed at 12pm US Central: bit.ly/WedatNICO
#WedatNICO #ComplexSystems
ALT Wednesdays at NICO fall 2023 seminars speaker flyer featuring Alexander Gates, Raissa D'Souza, Satoru Suzuki, Yian Yin, Joshua Jackson, Malcolm MacIver, Vicky Chuqiao Yang, and Tessa Charlesworth.
Wow, Cool!
We are excited to introduce the Ryan Institute on Complexity. Led by Profs. Dashun Wang, Ben Jones, and Brian Uzzi, this revolutionary research lab is designed to change the way business, markets, and societal issues are studied. Learn more: #KelloggLeader kell.gg/7krb
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Ching Jin retweeted
🌟As #ICSSI2023 nears, we are thrilled to highlight our world-renowned speakers! Our first panel on Monday, June 26, will be 'AI for Science' featuring Tom Hope, Mario Krenn, Brian Uzzi, and Kanjun Qui!🙌
View our website for a peak at the full schedule➡️icssi.org
ALT A flyer for the ICSSI "AI for Science Panel". It depicts four images of panelists Tom Hope (Hebrew University), Mario Krenn (Max Plank Institute), Brian Uzzi (Northwestern University), and moderator Kanjun Qiu (Generally Intelligent).
Ching Jin retweeted
"Machine Learning with a Star Wars Twist". This Wed, we are excited to host Mark Tschopp from @ArmyResearchLab, who will share his experience designing #machinelearning courses that cater to a wide audience. #WedatNICO
🗓️ Wed 5/10 at 12pm US Central
🔗 bit.ly/WedatNICO
Ching Jin retweeted
Lightning Talks! This Wednesday, we're thrilled to host research talks by @rodabhari, Oh-Hyun Kwon, and @ywu2450. Join us at noon in Chambers Hall or hop on via Zoom. #ComplexSystems #DataScience #WedatNICO
🗓️ Wed 5/3 at 12pm US Central
🔗 bit.ly/WedatNICO
Congratulations! Brian! @UzziLeadership
Finally, the 2022 @netscisociety Euler Award goes to Brian Uzzi
Congratulations @UzziLeadership !!!
@netsci2022 #NetSci2022
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Ching Jin retweeted
Our latest paper on public use and funding of science: buff.ly/3aojxZd
Is scientific research an isolated ‘ivory tower’ activity? @dashunwang et al. analyze five large datasets and show that science public use in patents, news and policy documents closely matches research funding and impact within science. @KelloggCSSI
buff.ly/3aojxZd
Ching Jin retweeted
A proliferation of prizes is boosting both science and scientists. It’s also raising concerns about equity and potential downsides, writes @PhysicsMagazine citing research from @UzziLeadership and colleagues. physics.aps.org/articles/v15…
Ching Jin retweeted
check out our forthcoming paper in @NeurIPSConf - 👏Automatic Symmetry Discovery👏with Lie Algebra Convolutional Network! led by @nimatabari at @KelloggCSSI #KelloggAI
Interesting paper on automatic symmetry discovery for CNN arxiv.org/abs/2109.07103 by @nimatabari @RobinSFWalters @YanchenLiu13 @dashunwang @yuqirose using Lie algebras in place of Lie groups, you can discover continuous symmetries from data instead of assuming them!