The research grounding our tools
We do not trust plausible-sounding numbers. Every simulator, myth-vs-fact card, and policy claim in this catalog cites peer-reviewed research, federal evaluation reports, or authoritative agency guidance.
Yin (2026) — Causal effects of the ABLE Act
Working Paper 2026-05 from the RISEI Lab at Northwestern University uses staggered state-level ABLE Act rollouts to identify causal effects on financial inclusion, labor-market participation, and wages of adults with disabilities.
Cited in: ABLE simulator, Emerging Issues Radar, Voice Ask.
Research by focus area
Financial inclusion evidence
- Yin (2026) — Causal ABLE effects, WP 2026-05
- SSA POMS SI 01130.740 — ABLE / SSI interaction
- ABLE NRC state comparison 2024
- Nebraska Enable Annual Report 2024
- IRS 26 U.S.C. §529A — statutory framework
Accommodation cost + ROI
- JAN 2024 Cost/Benefit Survey — 56% zero cost, 10:1 ROI
- EARN accommodation research review 2023
- DOL WHD accommodation policy guidance
- ODEP Section 501 federal agency reports
RETAIN evaluation
- DOL RETAIN Phase 2 Evaluation (2024) — +12pp retention
- Mathematica Impact Analysis (KY, KS, OH cohorts)
- SSA Ticket to Work outcome studies
- DOL RTW cost-benefit meta-analysis
Recovery-Ready evidence
- SAMHSA Recovery-Ready Workplace Toolkit
- EARN Mental Health Toolkit (2024)
- Kennedy Forum State Parity Scorecard
- SSA SSDI mental health claim data (2020-2024)
- MHPAEA DOL EBSA Enforcement Report 2024
Public-sector benchmarks
- EEOC MD-715 Federal Agency Reports
- EEOC State and Local Government Workforce Reports
- BLS state-year employment reports (2020-2024)
- Rehabilitation Act Section 501 guidance
- Governors' Model Employer executive orders (5-state review)
Secondary transition
- RSA-911 outcomes data (FY 2023, FY 2024)
- DOL ETA apprenticeship completion rates by disability status
- CAPE-Youth policy briefs on Pre-ETS
- Data.gov WIOA state performance reports
Our AI governance framework
Every AI-augmented capability in this catalog operates under a documented governance framework aligned with the DOL Artificial Intelligence Literacy Framework and federal AI policy guidance.
Human accountability
Subject matter expert reviews every AI-generated policy product before delivery.
Model provenance
Documented model version tracking and auditable prompt histories.
Disclosure
Users see when a product includes AI-assisted content and its citation.
Limitations
AI does not make policy recommendations or substitute for SME expertise.