About the Institute

The Labor Risk Institute is an independent research organization focused on understanding how automation and artificial intelligence affect workers and labor markets.

Mission

The Labor Risk Institute was established to provide rigorous, empirical research on the labor market implications of technological change. We aim to inform public discourse, guide policy decisions, and help workers understand how automation may affect their occupations.

Our work bridges the gap between academic research and practical application, translating complex economic analysis into accessible insights for policymakers, journalists, and the general public.

Organization

Research Team

Our research staff includes labor economists, data scientists, and policy analysts with expertise in technological change and labor market dynamics.

Advisory Board

Senior advisors from academic institutions and policy organizations provide guidance on research priorities and methodology.

Data Partners

We collaborate with government statistical agencies, academic research centers, and industry partners to access comprehensive labor market data.

Research Methodology

Data Sources

We utilize Bureau of Labor Statistics occupational data, Census Bureau surveys, and proprietary datasets on AI adoption and automation deployment.

Analytical Framework

Our research employs econometric methods including regression analysis, difference-in-differences estimation, and machine learning classification techniques.

Peer Review

All publications undergo internal review and, where appropriate, external peer review before release.

Transparency

We publish our methodological documentation and, where permitted, make datasets available for replication.

Research Principles

  • Independence from industry and political influence in research design and findings
  • Commitment to methodological rigor and empirical evidence
  • Transparency in data sources, assumptions, and limitations
  • Accessibility of research findings to non-specialist audiences