Regulatory Consulting at Urban Institute

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Created by Rohan Shah. Rohan is an Umbrex Consulting Fellow and a college student at the University of Pennsylvania majoring in Philosophy, Politics, and Economics, expected graduation in 2029. Rohan plans to pursue a career in consulting after graduation.

Name of the Consulting Firm Urban Institute
HQ Location Washington, DC, United States
Size Mid (500+)
Website https://urban.org

Overview

The Urban Institute is a top nonpartisan research organization where AI policy runs through the lens of equity. Its researchers and data scientists study how federal, state, and local governments actually deploy AI and generative AI across public services — and where those systems help or harm the communities that depend on them.

AI-Focused Regulatory Work

Urban occupies a distinctive spot in the AI-policy landscape: it is neither a pure think tank nor a build shop, but a research institution that governments trust to tell them whether an algorithm is working for people or quietly working against them. As agencies race to adopt AI under 2025’s federal guidance, Urban’s insistence on measuring benefits and harms together — and documenting them into a ‘virtuous cycle of learning’ — gives policymakers an evidence base most vendors can’t offer.

Notable AI Policy Work

  • Filed a public comment on the National Science Foundation’s 2025 National AI R&D Strategic Plan, arguing — against the prevailing narrative — that too little AI regulation can stall progress as surely as too much, with local governments serving as the real-world laboratories for public-service AI.
  • Runs an active research agenda on equitable AI: racial bias in Medicaid risk-adjustment algorithms, NLP to surface bias in child-welfare systems, and tenant-screening algorithms that can exclude renters of color.
  • Maintains a Technology and Data practice area plus open data tools and modeling used widely across the policy community.

Thought Leadership

  1. Public Comment on NSF’s 2025 National AI R&D Strategic Plan
    Urban’s public comment on the 2025 National AI R&D Strategic Plan, arguing too little AI regulation can stall progress as surely as too much.
  2. With AI and Automated Systems Rapidly Developing, a Focus on Equity Can Maximize Benefits for All
    Urban on centering equity as AI and automated systems spread — from Medicaid algorithms to child-welfare and tenant-screening tools.
  3. Advancing Equity: Data and Analytic Tools for Federal Policies and Programs
    Urban’s data and analytic tools to help federal agencies advance equity in policies and programs.

Clients

Top target — AI + urban/social policy