Tanya Rosenblat

Tanya Rosenblat is a Professor at the University of Michigan's School of Information, focusing on interdisciplinary research at the intersection of economics, social networks, and global health. Her primary appointment reflects active engagement in academic research and teaching within a major research university.

Her research spans Labor Economics, Behavioral Economics, and Global Health Equity, with specific expertise in non-cognitive skills in labor markets, social network effects on behavior, news reporting bias analysis using AI, and HIV/AIDS interventions. Recent work examines belief formation processes, social norm perception during crises like COVID-19, and caste-based labor market discrimination in India.

Analysis of her 15 most recent publications reveals a strong methodological focus on randomized controlled trials, field experiments, and computational approaches including large language models for news analysis. Geographically, her work concentrates on Sub-Saharan Africa (particularly Mozambique), India, and the United States, addressing health equity through technical solutions, women's empowerment, and social determinants of health.

Rosenblat's research has attracted significant funding, including the RAPID grant for collaborative COVID-19 research examining norms, risk-taking, information dissemination, and trust. Her fieldwork in Mozambique demonstrates commitment to real-world health challenges in resource-constrained settings.

Her global health work specifically targets HIV/AIDS and malaria prevention through education of underserved populations and healthcare worker training, aligning with frameworks addressing social determinants of health and technical solutions for health equity.