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Weekly Media Update

Week of February 13, 2026

One Billion Posts, One Election

In a recent study, Sandra González-Bailón and colleagues analyzed over one billion Facebook posts published or reshared by more than 110 million users during the months preceding and following the 2020 election. “Social media creates the possibility for rapid, viral spread of content,” González-Bailón said. “Understanding how and when information spreads is essential because the diffusion of online content can have downstream consequences, from whether people decide to vaccinate to whether they decide to join a rally.” 

Upending What We Know About Dark Energy

It wasn’t so long ago that scientists learned the universe is expanding at an ever-quickening pace. Like many in the field, Bhuvnesh Jain at first had a hard time taking seriously the finding—that is, until independent validation came from cosmic microwave background data (radio waves carrying information about the universe’s early days). Today, that breakthrough is considered one of the biggest in cosmology, and yet, despite extensive scientific probing, dark energy remains shrouded in mystery.

Amid Rising Concerns Over Data Centers, Penn’s Supercomputer Aims for Sustainability
2/13: The Daily Pennsylvanian | Benjamin Lee

Measuring Cultural Variation: From Twitter to LLMs
2/13: Penn ILST Seminar | Lyle Ungar

When Better AI Makes Oversight Harder
2/12: Wharton AI & Analytics Insights | Hamsa Bastani

Penn Engineering Launches STEM Initiative for Philadelphia High School Students
2/12: The Daily Pennsylvanian | Robert Ghrist

Rethinking Tennis Strategy Through Data and Coachability
2/11: Wharton Moneyball | Eric Bradlow and Shane Jensen

Wharton Partners With Consulting Company to Model Skill Valuation for Jobs in an AI Era
2/10: The Daily Pennsylvanian | Eric Bradlow

Impossible by Degrees: Cohomology & Bistable Visual Paradox
2/10: arXiv | Robert Ghrist

The Halite Paradox: The 2026 North American Road Salt Stockout and the Fragility of Just-in-Time Infrastructure
2/9: Gad's Newsletter | Gad Allon

The Opposite of Smart Regulation
2/9: The Regulatory Review | Cary Coglianese

This Job Has Become the Ultimate Case Study for Why AI Won’t Replace Human Workers
2/9: CNN Business | René Vidal

Forward vs Inverse Problems: Why High Performance Machine Learning Usually Means Little About How the World Works
2/7: Konrad's Substack | Konrad Kording

AI, Taxi Drivers, and Administrative Law
2/6: Yale Journal on Regulation | Cary Coglianese

Presidents' Award
2/6: Committee of Presidents of Statistical Societies | Weijie Su

Penn Professors Discuss Artificial Intelligence Classroom Policies, University Initiatives
2/6: The Daily Pennsylvanian | René Vidal, Bhuvnesh Jain, and Robert Ghrist

What’s Old Is New Again: A Reflection on Don Lehmann’s Research on Measurements, Models, and Metrics
2/5: The Research Contributions of Donald R. Lehmann to Marketing, Volume 1 | Eric Bradlow

Correctness-Optimized Residual Activation Lens (CORAL): Transferrable and Calibration-Aware Inference-Time Steering
2/5: arXiv | Lyle Ungar

Language-Based Assessments Can Predict Psychological and Subjective Well-Being
2/4: Communications Psychology | Emily Falk

Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents
2/4: arXiv | Hamed Hassani

Taking Standards Seriously: The Case for a Private Standards-Based Approach to AI Governance
2/4: Wharton Accountable AI Forum | Christopher Yoo

College Applications With Non-Homogeneous Application Costs
2/3: ACM Transactions on Economics and Computation | Sampath Kannan and Rakesh Vohra

Spatiotemporal Mapping of Brain Organisation Following the Administration of 2C-B and Psilocybin
2/3: Molecular Psychiatry | Ted Satterthwaite

Optimal Decision-Making Based on Prediction Sets
2/1: arXiv | Edgar Dobriban

Improve the Trade-Off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
2/1: arXiv | Weijie Su

AI Market Forces – A New Gap in Tech Access?
2/1: Silicon Flatirons 2026 Flagship Conference | Christopher Yoo

Selective Adaptation of Beliefs and Communication on Cellular Sheaves
1/30: arXiv | Robert Ghrist

Learning Policy Representations for Steerable Behavior Synthesis
1/29: arXiv | Alejandro Ribeiro

How Gen Z Uses Gen AI—and Why It Worries Them
1/28: Harvard Business Review | Lyle Ungar

Fighting the Opioid Epidemic: Transforming Community Health and Social Connections in Rural Areas of the U.S.
1/23: Annenberg School for Communication | Dolores Albarracín

Studying Wikipedia Browsing Habits to Understand How People Learn
1/23: Annenberg School for Communication | Dani Bassett

Intersections of Inquiry: Annenberg Postdocs Explore Ideas Across Disciplines
1/23: Annenberg School for Communication | Emily Falk

Secrets of Ancient Concrete, and… Data Centers in Space?
1/14: Science Friday | Benjamin Lee

Networked Information Aggregation via Machine Learning
1/13: ACM-SIAM Symposium on Discrete Algorithms (SODA26) | Aaron Roth

Will Inference Move to the Edge?
12/18: Catalyst with Shayle Kann | Benjamin Lee

 
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