Data Solutions Lab

Building Tools for Better Decisions

The Data Solutions Lab develops data-centric tools for housing and land use modeling, empowering policymakers, researchers, and advocates to make informed decisions regarding community housing.


Rigorously Research-Backed

Our data tools are anchored in rigorous academic and policy research from the Terner Center for Housing Innovation at UC Berkeley and other national research centers.

Transparent Methods

Our transparent methods give users confidence to inform analysis and make decisions.

Efficiently Adaptable

We build tools that can efficiently grow and adapt across different communities to meet the nation’s housing challenges at scale.

Our First Tool

Housing Supply Simulator

Test how raising height limits, changing the number of units allowed, or reducing setback requirements will independently and collectively affect what types of housing gets built at the neighborhood, city, or county-wide scale.

Understand financial feasibility and overall likelihood of development across building types, zoning types, or neighborhoods within an area. Identify bottlenecks and simulate how changes to fees, timelines, and incentives could spur certain types of housing development.

Measure how policy changes could differentially affect housing production close to transit, in communities at risk of displacement, in fire risk areas or across a host of other important considerations.

Focus Communities

  • Los Angeles
  • San Francisco
  • San Jose
  • Arcata
  • San Diego
  • County of Sonoma
  • County of Los Angeles
  • San Mateo

Roll It out in your area