House Lawmakers Say No To Encryption Backdoors
OTI welcomes this report, which was signed by the chairmen and ranking members of both committees, as well as a number of other members.
There are Better Priorities than Hunting Down Highly Educated Immigrants
Some Republicans want to threaten school's federal aid eligibility if they don't comply with immigration law.
Interview: Taking a Look at Pre-K Teachers’ Implicit Biases
Do early educators’ implicit biases impact their behavioral expectations and recommendations for suspension and expulsion?
What Does Head Start Look Like in Your State?
A New Report Reveals Just How Misleading National-Level Statistics Can Be
Reducing Violent Extremism: What Works?
A discussion with leading experts on what types of foreign aid do and do not work in reducing violence and violent extremism
In-Person
New America
740 15th St NW #900, Washington, D.C. 20005
Borrowed Time
Income-driven repayment of college loans—a key tool for helping low-income borrowers—may exacerbate the very problems it tries to solve.
It Takes a District: DC’s Strategy for Improving Child Care Quality
OTI Statement on Chairman Wheeler’s Departure
Chairman Wheeler left an indelible mark on our country’s communications policy.
Russia Didn’t Hack the U.S. Election. It Hacked the Voters.
San Diego’s Homeless Senior Population Has More Than Doubled
National studies predict a rise in senior homelessness, a troubling trend that's painfully evident in one California city.
Taking Democracy’s Pulse
Recounts and vote audits don’t just serve to correct errors. They also help us evaluate the status of our electoral system.
The Lessons of Hillbilly Elegy
We need to embrace more flexible definitions of family, stop always reaching for the brass ring, and make room for both/and politics.
The Obama Early Childhood Legacy
The president has used his bully pulpit to lift early education into the national spotlight, but significant work remains.
So Long, 2016
New America CA recapped highlights from 2016.
The Great A.I. Awakening
Gideon Lewis-Kraus wrote for the New York Times about how machine learning is poised to reinvent computing itself.