Lightnews — Scholar-powered news

Reposted by The Warren Center for Network & Data Sciences

Jonathan D. Moreno @jonathanmoreno.bsky.social · 2d

Great podcast conversation about my book Impromptu Man with host Jon Katz and his other guest Chris Flohr.

Winning with full scene engagement- Jonathan D. Moreno & Chris Flohr

YouTube video by Jon Katz - Fairfax Criminal Defense Lawyer

youtu.be

1

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 2d

Over the past year, the environmental consequences of AI have been under intense scrutiny. “AI uses energy, and it doesn’t care where that energy is coming from,” said Warren Center faculty affiliate Benjamin C. Lee to Smithsonian Magazine. www.smithsonianmag.com/science-natu...

A.I. Is on the Rise, and So Is the Environmental Impact of the Data Centers That Drive It

The demand for data centers is growing faster than our ability to mitigate their skyrocketing economic and environmental costs

www.smithsonianmag.com

Reposted by The Warren Center for Network & Data Sciences

Kevin Werbach @kwerb.com · 3d

What does it take to turn the theoretical ideal of fair AI into something organizations can implement? This week on The Road to Accountable AI, I spoke with Derek Leben, Carnegie Mellon professor and author of the new book, AI Fairness.

Visit accountableai.net or your favorite podcast platform.

1

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 4d

“We can be more open, curious and exploratory when speaking with others rather than avoid controversies or start off pushing our viewpoint,” says Warren Center faculty affiliate Emily Falk to Scientific American. www.scientificamerican.com/article/good...

Good Conversations Don’t Require Everybody to Agree, Neuroscience Shows

Brain imaging is illuminating the patterns linked to productive, positive dialogue, and those insights could help people connect with others

www.scientificamerican.com

2 2

Reposted by The Warren Center for Network & Data Sciences

Alex Engler @alexengler.bsky.social · 6d

Join our first public event on October 21, 𝗧𝗵𝗲 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝗰 𝗥𝗲𝗽𝗲𝗿𝗰𝘂𝘀𝘀𝗶𝗼𝗻𝘀 𝗼𝗳 𝗠𝗲𝗱𝗶𝗮 𝗙𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻!

This is the launch of our event series, designed to share essential research on what ails, and how we can improve, the information environment.

Attend via zoom: mediafragmentation-online.eventbrite.com

1 3 6

Reposted by The Warren Center for Network & Data Sciences

Aaron Roth @aaroth.bsky.social · 6d

The FORC 2026 call for papers is out! responsiblecomputing.org/forc-2026-ca... Two reviewing cycles with two deadlines: Nov 11 and Feb 17. If you haven't been, FORC is a great venue for theoretical work in "responsible AI" --- fairness, privacy, social choice, CS&Law, explainability, etc.

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

1 8 13

Reposted by The Warren Center for Network & Data Sciences

Aaron Roth @aaroth.bsky.social · 5d

isps.yale.edu/events/2025/...

“Agreement and Alignment for Human-AI Collaboration,” Aaron Roth, UPenn | Institution for Social and Policy Studies

isps.yale.edu

1 1 5

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 6d

Are loyalty programs worth it for retailers? Warren Center faculty affiliate Peter Fader says yes, but only if they are designed for customer lifetime value. Read more here: penntoday.upenn.edu/...

Reposted by The Warren Center for Network & Data Sciences

Natalie Collina @ncollina.bsky.social · 9d

Appearing in SODA 2026! Last year we had a 3-page SODA paper, this one is 107 pages. Next time I’m thinking we swing way back the other way and just submit a twitter/bluesky thread

Aaron Roth @aaroth.bsky.social · Apr 9

Suppose you and I both have different features about the same instance. Maybe I have CT scans and you have physician notes. We'd like to collaborate to make predictions that are more accurate than possible from either feature set alone, while only having to train on our own data.

2 21

Reposted by The Warren Center for Network & Data Sciences

Aaron Roth @aaroth.bsky.social · 8d

To contribute to common knowledge :-) I too have been integrating AI tools closely into my research. This paper arxiv.org/abs/2507.09683 with @mkearnsphilly.bsky.social
and Emily was my first experiment with this, and it was just accepted to SODA. I'll describe the process in thread.

Networked Information Aggregation via Machine Learning

We study a distributed learning problem in which learning agents are embedded in a directed acyclic graph (DAG). There is a fixed and arbitrary distribution over feature/label pairs, and each agent or...

arxiv.org

1 3 22

Reposted by The Warren Center for Network & Data Sciences

Annenberg School at Penn @asc.upenn.edu · 10d

Applications for the Master of Communication and Media Industries (MCMI) are now open!

Interested in developing your skills in research, critical inquiry, and applied practice at one of the world’s leading Communication schools?

🔗 Visit our website to learn more:

Master of Communication and Media Industries (MCMI)

Rooted in Annenberg’s tradition of academic excellence and public impact, this master’s program offers a chance to develop your skills in research, critical inquiry, and applied practice. It equips st...

www.asc.upenn.edu

2 1

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 10d

“AI demands an interdisciplinary approach,” says Warren Center affiliate Chris Callison-Burch. That philosophy shapes his teaching as much as his research, with students experiencing the exact same rigor online as they would on campus. online.seas.upenn.ed...

1

Reposted by The Warren Center for Network & Data Sciences

Jonathan D. Moreno @jonathanmoreno.bsky.social · 10d

A traumatic moment for the American scientific community.

The Rise and Unraveling of America’s Science Pact

The system of federally funded research gave the U.S. wealth, power, and prestige. Its future is now uncertain.

thereader.mitpress.mit.edu

1 7 8

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 12d

The future of #AI inferencing workloads is uncertain because demand depends on the pace of “technology uptake” among individuals and enterprises, Warren Center faculty affiliate Benjamin C. Lee told MarketWatch. www.marketwatch.com/...

Reposted by The Warren Center for Network & Data Sciences

Community for Rigor @comm4rigor.bsky.social · 13d

The C4R25 Conference was a great success! Thanks to all whon joined us in Philadelphia and stay tuned for C4R26
@kordinglab.bsky.social
@carlbergstrom.com
@jasonwilliamsny.bsky.social
@rridrobot.bsky.social
@retractionwatch.com

1 3 5

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 16d

Thank you to all who joined our AI Research Mixer last week! We had 13 great faculty talks, over 30 student/postdoc posters, and Jenn Wortman Vaughan, Senior Principal Research Manager at Microsoft Research, delivered the keynote on generative AI. ai.seas.upenn.edu/ai...

Reposted by The Warren Center for Network & Data Sciences

Annenberg School at Penn @asc.upenn.edu · 17d

New from Vice Dean Emily Falk: "Our findings suggest one set of possibilities for people navigating conversations with those across divides. We can be more open, curious and exploratory when speaking with others rather than avoid controversies or start off pushing our viewpoint."

Scientific American @sciam.bsky.social · 17d

Brain imaging is illuminating the patterns linked to productive, positive dialogue, and those insights could help people connect with others

Good Conversations Don’t Require Everybody to Agree, Neuroscience Shows

Brain imaging is illuminating the patterns linked to productive, positive dialogue, and those insights could help people connect with others

www.scientificamerican.com

1 1

Reposted by The Warren Center for Network & Data Sciences

Cary Coglianese @cary-coglianese.bsky.social · 17d

Berger v. United States (1934): “The United States Attorney is the representative…of a sovereignty whose obligation to govern impartially is as compelling as its obligation to govern at all.” www.theregreview.org/2020/06/29/c...

Politics, Prosecutors, and Procedural Fairness | The Regulatory Review

President Trump contravenes fundamental fairness by exerting political pressure over prosecutors.

www.theregreview.org

1 2

Reposted by The Warren Center for Network & Data Sciences

Annenberg Public Policy Center @appc.upenn.edu · 17d

In a new piece for @sciam.bsky.social, neuroscientist Emily Falk @asc.upenn.edu @appc.upenn.edu writes that brain imaging is illuminating the patterns linked to productive, positive dialogue. www.scientificamerican.com/article/good...

Good Conversations Don’t Require Everybody to Agree, Neuroscience Shows

Brain imaging is illuminating the patterns linked to productive, positive dialogue, and those insights could help people connect with others

www.scientificamerican.com

4 3

Reposted by The Warren Center for Network & Data Sciences

Kleinman Center for Energy Policy @kleinmanenergy.bsky.social · 19d

PODCAST: Auditors promise integrity in carbon markets. New research suggests the reality is far more complicated. On Energy Policy Now, Cynthia Giles and Cary Coglianese explain why.

The Conflicted Role of Auditors in Carbon Markets - Kleinman Center for Energy Policy

Energy policy research from the University of Pennsylvania

kleinmanenergy.upenn.edu

2 2

Reposted by The Warren Center for Network & Data Sciences

Ted Satterthwaite @ted-satterthwaite.bsky.social · 18d

Delighted to see the paper describing the Reproducible Brain Charts open data resource now out in @cp-neuron.bsky.social. Paper + link to data below; huge congrats to @goliashf.bsky.social @milhammichael.bsky.social and the whole RBC team. Lots of people (>2,500 downloads) are already using RBC!

Cumulative RBC downloads over time. Lots of people are using RBC, with >2,500 downloads by time of RBC paper publication. Woo!!

6 8

Reposted by The Warren Center for Network & Data Sciences

Aaron Roth @aaroth.bsky.social · 18d

The opportunities and risks of the entry of LLMs into mathematical research in one screenshot. I think it is clear that LLMs will make trained researchers more effective. But they will also lead to a flood of bad/wrong papers, and I'm not sure we have the tools to deal with this.

4 6 31

Reposted by The Warren Center for Network & Data Sciences

University of Pennsylvania Carey Law School @penncareylaw.bsky.social · 18d

Prof. Cary Coglianese (@cary-coglianese.bsky.social) shared insights on regulatory excellence with leaders from 18 Australian regulators, highlighting integrity, competence, and engagement as central to building public trust. Watch his interview & slides: https://penncareylaw.news/3IcrQbG

Cary Coglianese on regulatory excellence

International expert Professor Cary Coglianese shares practical insights on how integrity, engagement and performance can shape better regulation.

penncareylaw.news

2 1

Reposted by The Warren Center for Network & Data Sciences

Carl T. Bergstrom @carlbergstrom.com · 19d

It was to see some many friends in Philadelphia for the @comm4rigor.bsky.social meeting a couple of weeks ago. Together we are developing free online materials for researchers interested in doing rigorous science.

The first units are coming soon at c4r.io.

Photos: Eric Sucar

Carl Bergstrom, laptop in lap, gesturing to Konrad Kording

Conference attendees gather for a group portrait on the steps of Philadelphia's Second Bank of the United States

Carl Bergstrom speaking at the C4R meeting

4 14 120

The Warren Center for Network & Data Sciences @warrencenter.bsky.social · 18d

Warren Center Director Michael Kearns said he understood the push to "let many more people make a decent living from (art)."

But, he cautioned, "when you make something that was scarce abundant, it'll change people's perceptions about its value."

AI-backed robot painting aims to boost artist income

Montreal-based artist Audrey-Eve Goulet was initially uncertain as she watched an AI-powered robotic arm reproduce one of her works, but said the outcome was "really impressive."Goulet had agreed to work with Acrylic Robotics, a Montreal-based company that says it aims to help artists earn a living by making high-quality replicas of their work, with their consent.

finance.yahoo.com