All Insights

Watch, read, or listen to all insights.
Filter by
Insights / Research BriefApr 12, 2021

What We Teach About Race and Gender: Representation in Images and Text of Children’s Books

Anjali Adukia, Alex Eble, Emileigh Harrison, Hakizumwami Birali Runesha, Teodora Szasz
Educators and caregivers are generally thoughtful about choosing books to read to their young children, or when selecting books for children to read themselves. They may look for books that entertain, educate, and otherwise incorporate values that they hold dear. However, if those values include race and gender diversity, they will have to search a little harder.
Topics:  Early Childhood Education, K-12 Education
Insights / Video

Watch: What We Teach About Race and Gender: Representation in Images and Text of Children’s Books

Children learn many things from the books they read, and some of the most important...
Topics:  Early Childhood Education, K-12 Education
Interactive

Race and Gender in Children’s Books

Interact with the charts below to compare out how race, gender, and age are represented in various categories of children's books throughout the last century.
Topics:  Early Childhood Education, K-12 Education
Insights / Video

Watch: Innovation — From Idea to Reality: A Conversation Richard Sandor and Steven Kaplan

In an insightful and engaging conversation presented by the University of Chicago’s Becker Friedman Institute,...
Topics:  Technology & Innovation
Insights / Research BriefJan 22, 2021

Simple and Credible Value-Added Estimation Using Centralized School Assignment • Measuring Racial Discrimination in Algorithms

With the aggregation of more and more data, and with improvements in machine learning methods, firms and policymakers have developed algorithms to help them make decisions. For example, banks and credit card companies use algorithms to make decisions relating to a consumer’s creditworthiness. The idea is not only to make accurate assessments but to also remove any prejudice or other qualitative errors that could occur when people make such high-stakes decisions.
Topics:  K-12 Education, Technology & Innovation
Insights / Research BriefJan 22, 2021

Comparing Conventional and Machine-Learning Approaches to Risk Assessment in Domestic Abuse Cases

The numbers are staggering. Domestic abuse affects nearly one-third of all women world-wide who are in a relationship, including one-fourth of US women and one-third of English women who suffer physical or sexual abuse at the hands of an intimate partner.
Topics:  Technology & Innovation
Insights / Podcast episodeJan 13, 2021

The Big Tech Threat?

Eduardo Porter, Tess Vigeland, Eric Posner, Chad Syverson
The expanding market influence of tech companies has sparked new fear of an old economic...
Topics:  Technology & Innovation
Insights / Podcast episodeNov 05, 2020

Deep Dive Series – The Future of Money?

Eduardo Porter, Tess Vigeland, Eric Budish, Brian Platz, Yuval Rooz, Luigi Zingales
If use of cash continues to wane, will cryptocurrency be the new dollar bill? Is...
Topics:  Technology & Innovation