For Researchers & Policymakers
De-identified mobility data at scale.
MobilityLens aggregates platform-wide mobility outcomes alongside authoritative external datasets — with strict de-identification and cohort minimums built into every query.
Research tools designed for rigor
Cohort comparison
Compare mobility outcomes across cohorts defined by geography, age band, capital type, household size, or program participation — with statistical significance indicators on every metric.
Geographic heatmaps
Visualize mobility barriers, opportunity gaps, social capital density, and income distribution at ZIP, county, or metro-area level. Exportable as GeoJSON or CSV.
Longitudinal tracking
Track EMS score trajectories over time for de-identified cohorts. See which intervention types correlate with sustained upward mobility versus short-term gains.
Export-ready datasets
Download structured, de-identified datasets in CSV or JSON. Every field includes a data dictionary, vintage label, and citation metadata.
REST API access
Query the research dataset programmatically via the MobilityLens REST API. OAuth 2.0 authentication. Rate-limited by research tier. Full OpenAPI 3.0 specification provided.
Policy simulation
Model the projected impact of policy changes on specific cohorts — income threshold adjustments, benefit phase-outs, minimum wage shifts. Results include confidence intervals and source citations.
De-identification is not a policy. It's an architecture.
Privacy protection is enforced at the pipeline level — before data reaches any research interface.
No PII, ever
Name, contact information, case notes, and all identifying attributes are stripped before data enters the research pool. This is enforced at the pipeline level — not the application layer.
Cohort minimum of 50
No metric is returned for a cohort with fewer than 50 distinct individuals. If a query would surface a suppressed metric, the API returns a clear suppression notice — never an approximation.
Categorical fields only
Income is an age band, not a dollar figure. ZIP is present, but names, addresses, and case IDs are absent. Every field in the research schema is categorical or ordinal — never raw.
Credentialed access
Research access requires institutional affiliation and a signed data use agreement. Access is scoped by dataset, geography, and research purpose.
Datasets available to credentialed researchers
United for ALICE
County-level household survival budgets and ALICE thresholds (2018–2023)
Opportunity Insights
Intergenerational mobility rates, upward mobility predictors, and college attendance data by geography
Social Capital Atlas
Economic connectedness, clustering, and civic engagement scores by county
Census ACS
5-year estimates for income, employment, household composition, and housing by census tract
MobilityLens Platform
De-identified EMS scores, capital assessments, and case outcomes from consenting NGO tenants
How to apply for research access
Submit application
Provide institutional affiliation and research purpose
Data use review
Our team reviews scope, privacy risk, and data minimization
Sign DUA
Execute a data use agreement covering permitted use and re-identification prohibition
API credentials
Receive scoped API keys and dataset documentation
Ready to bring rigorous mobility data to your research?
Applications are reviewed on a rolling basis. Typical turnaround is 5 business days.
Apply for Research Access