Projects explore the role of joy in learning
Research
Across 21 projects funded by a Stanford Accelerator for Learning seed grant, researchers set out to understand how joyful learning experiences help students, educators, and communities thrive.
Kids’ speech can signal risk of future mental health problems
Research
In a Stanford-led study, the way preteens talked could predict whether they developed conditions like depression or anxiety six years later.
Laura Carstensen on longevity’s big moment
Q&A
As she prepares to step down after nearly 20 years leading the Stanford Center on Longevity, Carstensen reflects on the greatest challenges and opportunities of longer lives.
Making policing more fair, one data point at a time
News
Stanford GSB professor Jennifer Eberhardt analyzed thousands of police stops to reveal how officers’ words predict escalation. Now, advances in AI could take that research further – and faster.
AI overly affirms users asking for personal advice
Research
Not only are AIs far more agreeable than humans when advising on interpersonal matters, but users also prefer the sycophantic models.
Stanford tool helps students navigate uncertainty
Research
Researchers have developed an instrument that reframes ambiguity as a learnable skill, helping students and educators better prepare for an unpredictable future.
What does it mean to be reasonable?
Research
In a new book, Stanford philosopher Krista Lawlor explores how understanding this elusive trait can foster more productive dialogue about what really matters.
New book explores how to overcome tension between conflicting identities
Q&A
In Churn, social psychologist Claude Steele examines why diverse settings can feel uncomfortable – and shares an antidote to transform these experiences.
Jennifer Eberhardt is analyzing police bias with AI
In the News
Jennifer Eberhardt, professor of psychology and of organizational behavior, on the goals of her research on police body-worn cameras.
Social media research tool lowers the political temperature
Research
A new method created by Stanford researchers reduces polarization by downranking antidemocratic and highly partisan posts on X.