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The Warren Center for Network & Data Sciences
@warrencenter.bsky.social
A research center at Penn Engineering, working to foster research and innovation in interconnected social, economic and technological systems.
Despite decades of research, we still don't know how the brain integrates the features of an object into a coherent whole or whether artificial systems perform similar binding. Tomorrow, @KordingLab will give a seminar on "How Brains and Machines Solve the Binding Problem." ai.upenn.edu/penn-ai...
November 17, 2025 at 11:26 PM
Reposted by The Warren Center for Network & Data Sciences
Penn AI Seminar feat. Konrad Kording (PSOM, SEAS)
11-18-25, 12-2 pm
Register: www.eventbrite.com/e/how-brains...
November 17, 2025 at 9:43 PM
Reposted by The Warren Center for Network & Data Sciences
Benefit-Cost Analysis and the Law
SBCA Professional Development Workshop
November 18 & 21, 2025 | 11:00 am-2:00 pm ET
buff.ly/063ep8G

Meet our presenter Cary Coglianese.
Benefit-Cost Analysis and the Law
sbca.memberclicks.net
November 10, 2025 at 5:05 PM
Reposted by The Warren Center for Network & Data Sciences
Oliver Patel, head of AI Governance at AstraZeneca, joins me this week on The Road to Accountable AI to share enterprise AI governance frameworks built from his experience.

Listen to the full episode at https:apple.co/accountable, or your favorite podcast platform.
November 14, 2025 at 5:22 PM
Reposted by The Warren Center for Network & Data Sciences
New @brookings.edu paper w. @kordinglab.bsky.social : Artificial Intelligence Saturation & the Future of Work. Wages can ↗️&↘️with #AI automation, as humans are pushed into physical jobs. In the longer run, intelligence saturation limits benefits from #AI. www.brookings.edu/articles/art... #EconSky
(Artificial) Intelligence saturation and the future of work | Brookings
In a new working paper, UPenn's Konrad Kording and Ioana Marinescu present a novel framework for assessing AI and the future of work
www.brookings.edu
November 14, 2025 at 5:28 PM
In Konrad Kording and Ioana Marinescu's new Brookings Institution paper, they consider how to model an economy with rapidly increasing intelligence capital but slowly increasing physical capital in order to generate meaningful predictions of AI’s wage and output impacts.
(Artificial) Intelligence saturation and the future of work | Brookings
In a new working paper, UPenn's Konrad Kording and Ioana Marinescu present a novel framework for assessing AI and the future of work
www.brookings.edu
November 13, 2025 at 11:57 PM
Reposted by The Warren Center for Network & Data Sciences
How does the Internet govern itself? 🌐

In Advanced Introduction to Internet Governance and Regulation, Prof. Christopher Yoo and Alexander R. Mueller L’21 examine how voluntary, multistakeholder cooperation keeps the Internet open, stable, and secure. https://penncareylaw.news/4hPwTMg
Exploring the Global Governance of the Internet
In a new book, Prof. Christopher S. Yoo and Alexander R. Mueller L’21 trace how a decentralized, multistakeholder model has kept the Internet unified, s...
www.law.upenn.edu
November 13, 2025 at 8:52 PM
Reposted by The Warren Center for Network & Data Sciences
In a new @brookings.edu paper we argue that we should not just divide into capital and labor, but also into intelligence and physical when modeling the economy (attention, economics speak): www.brookings.edu/articles/art...
(Artificial) Intelligence saturation and the future of work | Brookings
In a new working paper, UPenn's Konrad Kording and Ioana Marinescu present a novel framework for assessing AI and the future of work
www.brookings.edu
November 13, 2025 at 4:42 PM
Reposted by The Warren Center for Network & Data Sciences
Postdoctoral Researcher Positions!
November 12, 2025 at 1:23 PM
Reposted by The Warren Center for Network & Data Sciences
AI is growing exponentially at a timescale of months while the economy is growing at a timescale of decades. How should we model the economy with rapidly increasing intelligence tech and slowly increasing physical tech? New AI+econ paper.
November 13, 2025 at 4:42 PM
Reposted by The Warren Center for Network & Data Sciences
Superb work by the stellar @bsevchik.bsky.social — a new fully processed open data resource focused on exec fxn in psychosis and ADHD.

‼️Also‼️ Brooke is applying to PhD programs now— great time to recruit an absolute star ⭐️ + wonderful human.
🧠I am excited to announce that our manuscript introducing a new data resource – PennLEAD (Penn Longitudinal Executive functioning in Adolescent Development) – is now available on bioRxiv. Below are some details highlighting our data resource🧵funded by NIMH R01MH113550
www.biorxiv.org/content/10.1...
November 13, 2025 at 1:26 AM
Reposted by The Warren Center for Network & Data Sciences
We've seen Konrad Kording host this workshop twice, and it really is remarkable how he deftly walks participants through the process of writing a memorable and clear abstract.

Sign up if there is stil room.
Are you in the process of writing an abstract and could use some help? Join us on December 2 for a virtual workshop with our P.I., Konrad Kording
@kordinglab.bsky.social

🎟️ RSVP at buff.ly/4IJ0Xwu
✨ You can submit an abstract in progress for a chance to have it workshopped live!
Rigorous and Glamorous in 100 Words or Less 2.0 - An abstract-writing workshop with Konrad Kording
It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results.
buff.ly
November 12, 2025 at 6:22 PM
Reposted by The Warren Center for Network & Data Sciences
Truly heroic work by the stellar @cieslakmatt.bsky.social + the HBCD dMRI working group team. Refactored QSIPrep + QSIRecon is the result of nearly 3y of concerted development + testing. It will be a total workhorse for HBCD -- and almost any other dMRI scan. Check it out for your data!!!
November 12, 2025 at 2:18 PM
Reposted by The Warren Center for Network & Data Sciences
Are you in the process of writing an abstract and could use some help? Join us on December 2 for a virtual workshop with our P.I., Konrad Kording
@kordinglab.bsky.social

🎟️ RSVP at buff.ly/4IJ0Xwu
✨ You can submit an abstract in progress for a chance to have it workshopped live!
Rigorous and Glamorous in 100 Words or Less 2.0 - An abstract-writing workshop with Konrad Kording
It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results.
buff.ly
November 12, 2025 at 4:39 PM
A collaborative team led by Warren Center affiliate Ted Satterthwaite and postdoctoral fellow Golia Shafiei has developed Reproducible Brain Charts, a large-scale, open data resource to help researchers link brain development with mental health disorders. penntoday.upenn.edu/...
November 12, 2025 at 12:37 AM
Reposted by The Warren Center for Network & Data Sciences
🚨📣 We’re recruiting a postdoc! 📣🚨
Are you curious about how the environments in which people spend time influence their health? Are you motivated by research that promotes climate action, resilience, and wellbeing?
Read more and apply here: www.asc.upenn.edu/node/5905
Postdoctoral Researcher
www.asc.upenn.edu
November 11, 2025 at 6:28 PM
Reposted by The Warren Center for Network & Data Sciences
The first of two @forcconf.bsky.social 2026 deadlines is tomorrow, Nov 11! I hope everyone is putting finishing polishes on their submissions. For everyone else who doesn't want to miss out on the fun at Harvard this summer, there is another deadline in Feb. responsiblecomputing.org/forc-2026-ca...
FORC 2026: Call for Papers
The 7th annual Symposium on Foundations of Responsible Computing (FORC) will be held on June 3-5, 2026 at Harvard University. Brief summary for those who are familiar with past editions (prior to 2…
responsiblecomputing.org
November 10, 2025 at 2:56 PM
Reposted by The Warren Center for Network & Data Sciences
🎟️ RSVP to the workshop at c4r.io/events and submit your abstract for a chance to have it workshopped with Konrad Kording, live.

➕ Bonus! Participants can use the scientific project planner app, PlanYourScience.com, to kickstart a new study or fine-tune an existing one.
Events
Check out events hosted by the Community for Rigor. We test our materials, run live and online seminars, and hold talks to make better science every day!
c4r.io
November 10, 2025 at 2:59 PM
Reposted by The Warren Center for Network & Data Sciences
✨ It’s hard to write an abstract. It’s harder to write a glamorous one that tells your story without overselling your results.

🛠️ Join us on Tuesday, December 2 @ 12 pm ET for a live abstract-writing workshop led by our P.I., Konrad Kording. RSVP @ c4r.io/events
November 10, 2025 at 2:59 PM
Reposted by The Warren Center for Network & Data Sciences
If you work at the intersection of CS and economics (or think your work is of interest to those who do!) consider submitting to the ESIF Economics and AI+ML meeting this summer at Cornell: www.econometricsociety.org/regional-act...
2026 ESIF Economics and AI+ML Meeting - The Econometric Society
2026 ESIF Economics and AI+ML Meeting (ESIF-AIML2026) June 16-17, 2026 Cornell University Department...
www.econometricsociety.org
November 8, 2025 at 10:37 PM
Using a pair of pre-election surveys conducted 24 years apart, Warren Center faculty affiliate Diana Mutz found that Americans are talking with more people more frequently about politics, primarily those people they agree with politically. penntoday.upenn.edu/...
November 7, 2025 at 8:39 PM
Reposted by The Warren Center for Network & Data Sciences
We're excited to announce the call for papers for #ICML 2026:

icml.cc/Conferences/...

See you in Seoul next summer!
November 7, 2025 at 3:05 PM
Reposted by The Warren Center for Network & Data Sciences
Announcing the 7th Learning Theory Alliance mentoring workshop on November 20. Fully free & virtual!

Theme: Harnessing AI for Research, Learning, and Communicating

Ft @aaroth.bsky.social @andrejristeski.bsky.social @profericwong.bsky.social @ktalwar.bsky.social &more
November 7, 2025 at 4:34 PM
Reposted by The Warren Center for Network & Data Sciences
A new study by the @falklab.bsky.social and colleagues reveals that activity in brain regions associated with reward and social processing can predict the effectiveness of messages:
Brain Activity Reveals What Makes Persuasive Messages Stick
www.asc.upenn.edu
November 5, 2025 at 9:48 PM
Reposted by The Warren Center for Network & Data Sciences
Maybe we've been approaching AI ethics the wrong way?

On this week's episode of The Road to Accountable AI, Ravit Dotan discusses how she shifted her approach, and why AI governance practitioners should be more like chefs.

Listen now: apple.co/accountable or your favorite podcast platform.
November 6, 2025 at 1:22 PM