Housing
IMPACT AREA
Where we live - the neighborhoods and structures - is a strong determinant of how we live.
For low-income households, navigating housing markets involves complex and overwhelming decisions that in turn impact children’s educational outcomes and multi-generational economic mobility.
Learning Collider engages with housing technology platforms, housing experts and researchers, public housing programs, and policymakers to identify and design innovative research opportunities that incorporate:
Providing equitable and actionable information to inform household decisions and policies
Designing optimal low-income housing application processes
Identifying and measuring discriminatory policies in affordable housing
Supporting families’ access to high-opportunity neighborhoods, housing, and schools
HOUSING CHALLENGE PARTNERS
Cornell’s Legal Constructs Lab
Slow Boring By Matt Yglesias
FEATURED RESEARCH PARTNERS
Data Analysis & Resources
→ Read the latest in our Affordable Housing Tech & Data Series
→ Review our White House & HUD Roundtable Presentations
→ Explore Relevant Blog Posts
Active Research Highlights
Algorithm Fairness in Tenant Application Systems
Developing and scaling fair algorithms used by housing providers and administrators in rental decision-making.
Real-Time Data Insights on Section 8 Voucher Holders
Analyzing robust datasets to understand the unit choices and leasing outcomes of low-income households in the U.S.
Environmental Information & Affordable Housing Decisions
Testing the provision of relevant air quality information with online unit listings and measuring effects on rental decisions.
Working Papers & Publications
Supplementary Resources
J-PAL Case Study: Providing School Quality Information to Improve Housing Mobility for Low-income Families
J-PAL Evaluation: Improving Access to Information to Facilitate Moves to Opportunity
J-PAL Resource: Creating Moves to Opportunity (CMTO)
Opportunity Insights Interactive Data Tool: The Opportunity Atlas