I study how artificial intelligence and other emerging technologies reshape work, inequality, and public policy.
My goal is to produce evidence that helps governments, organizations, and workers navigate the opportunities and risks created by artificial intelligence and technological change.
Contact: nazarenoll@vcu.edu · LinkedIn
CV · Research · Teaching · Google Scholar
AI & Work
Examining how AI transforms tasks, occupations, and well-being.
Platform Economy
Studying gig and platform work arrangements, and their effects on workers and markets.
Inequality & Social Protection
Analyzing drivers and patterns of inequality and the role of social protection in promoting inclusivity.
Policy Evaluation
Using causal methods and data to evaluate the impact of policies and regulations.
AI & the Future of Work
NSF-funded survey experiment: How do scholarly predictions about AI's impact influence workers, policymakers, and business leaders?
Multidisciplinary systematic literature review (SLR): Synthesizing evidence from over 1,000 studies on AI and workers.
Methodological innovation: Developing LLM-assisted screening methods for SLRs.
In collaboration with GRAIL.
REGULATING AI
Mapping emerging AI regulation across US states.
Analyzing how equity considerations are incorporated into AI governance
Additional studies underway.
In collaboration with RISE.
AI Legislation
How AI regulation is emerging as a fragmented landscape across the US states.
Ridesharing in Brazil
How Uber's entry changed driver profiles and job outcomes in Brazil.
Forthcoming (preprint)
Caught in the Net
How precarious workers experienced the expanded safety net during COVID-19.
Journal article · Online first
Wired and Working
How broadband expansion affected employment and opportunity in rural America.
Journal article · 2025