Black Lives Matter: Now What?
If you find yourself asking what you can do to spark change and help prevent the next George Floyd murder, my advice is: start engaging in positive deviance.
June 04th, 2020
bias
May 09th, 2020
Chaos Has a Light Side: A Conversation with Lulu Miller
When NPR science reporter Lulu Miller heard about a taxonomist who sewed names directly onto his fish specimens after the 1906 earthquake ruined his collection, her ears perked up.
April 05th, 2020
In Times of Disagreement, How to Find Unsticking Points
How a single ten-minute “deep canvassing” conversation can enduringly reduce prejudice.
February 14th, 2020
#BehavioralValentines: Psyched To Be Yours
This #BehavioralValentines, we are psyched to be yours.
January 27th, 2020
Research Lead: Social Tipping Points, a Marshmallow Dilemma, the Most Annoying Sound in the World, and more
The Research Lead is a monthly digest connecting you to noteworthy academic and applied research from around the behavioral sciences.
December 09th, 2019
“Further Exploration Needed in Women”—the Hidden Sexism in Scientific Research
Science is set up in a way that systematically penalizes research on females and female-related health issues…but not necessarily for the reasons you think.
November 11th, 2019
Solving the Problem of “Obviousness” with Prediction Platforms
In the fall issue of Public Opinion Quarterly in 1949, sociologist Paul Lazarsfeld pulled one of my favorite social science head fakes of all time.
May 29th, 2019
The Bias Inside: A Conversation With Psychologist Jennifer Eberhardt
Drawing on her nearly three decades of work on bias as a researcher and advisor to police forces across the country, psychologist and MacArthur Fellow Jennifer Eberhardt has penned a new book.
May 21st, 2019
Hiring Isn’t Rocket Science: Why the Most Boring Strategy Is Best
To fix the hiring process, we have to replace hubris with heuristics.
April 23rd, 2019
Broadening the Nature of Behavioral Design
How might our sense about what we should solve, or even what qualifies as a problem worth solving, be biased by how we think about what we can solve?
