Research Identifies Factors That Make Correcting Misinformation About Science More Successful

A new study from Dolores Albarracín and Research Associate Man-pui Sally Chan explains the circumstances under which corrections of misinformation about science are most likely to work or fail, as well as the characteristics of the corrections most likely to succeed.

Communication
Health Management
Nursing
Psychology

Consensus and Contagion in Society

Omnia 101: Generative AI

Bhuvnesh Jain and Greg Ridgeway, co-directors of the Data Driven Discovery Initiative, explain ChatGPT and generative AI, and what this technology means for learning and education.

Criminology
Physics and Astronomy

Ubiquity of Data

How to Make Flying Less Terrible

Flight delays and cancellations always increase during the peak summer travel months. But this summer, airlines are also battling with staff and tech issues, and weather disruptions could make things worse, writes Gad Allon in his recent Slate op-ed.

Operations Information and Decisions

Ubiquity of Data

AI For the Antitrust Regulator

Cary Coglianese lays out the potential, and the considerations, for antitrust regulators to use machine learning and artificial intelligence algorithms.

Law
Political Science

Social Norms for Algorithms

Mathematical model that ‘changed everything’ turns 25

In 1998, Steven Strogatz and Duncan Watts proposed a mathematical model that would not only provide a way of seeing and understanding a wide range of networks, but would mobilize scientific communities across disciplines to turn toward their study. The work ushered in the modern era of network science.

Communication
Computer and Information Science
Operations Information and Decisions

Resilience in Networked Systems

What Makes News Get Shared Widely? The Answer Is in Your Head.

Why do some social media posts get shared widely, while others go unnoticed? A new study from Emily Falk's Communication Neuroscience Lab suggests that targeting self-and-social areas of the brain encourages information sharing online.

Communication
Marketing
Psychology

Evolution, Emergence and the Brain

The Growth and Impact of Generative AI

On the the premiere episode of Penn Engineering's "Innovation & Impact" podcast, Michael Kearns, Chris Callison-Burch, and Robert Ghrist discuss the growth and impact of generative AI.

Computer and Information Science
Electrical and Systems Engineering

Social Norms for Algorithms

Why is Machine Learning Trending in Medical Research but not in Our Doctor’s Offices?

Konrad Kording's new Community for Rigor aims to communicate that just because incorporating machine learning into biomedical research can introduce room for bias doesn’t mean scientists should avoid it. They just need to understand how to use it in a meaningful way.

Bioengineering
Neuroscience

Social Norms for Algorithms

Social conformity in pandemics: How our behaviors spread faster than the virus itself

Researchers led by Erol Akçay and former postdoc Bryce Morsky have produced a model for disease transmission that factors in the effects of social dynamics, specifically, how masking and social distancing are affected by social norms.

Biology

Consensus and Contagion in Society

Can anyone predict the future of cryptocurrency right now?

“The crypto space changes so rapidly that making predictions is always dangerous,” says Kevin Werbach, who sees the absence of an explicit legal framework in the U.S. as a key challenge. for the future of the blockchain and digital-asset industry.

Legal Studies & Business Ethics

Resilience in Networked Systems