Biography

Prashant Garg is an economist whose research focuses on economic and social measurement, using advanced tools from machine learning, econometrics, and network science. His interests include science and innovation, economic and social networks, production, and information and media. He is a Research Associate at the University of Cambridge (May-July'26) and an Associate Fellow at INET Oxford, having completed his PhD in Economics at Imperial College London. In September 2026, he will join Bocconi University as a Postdoctoral Researcher.

Research Areas

Methods and foundations of economics
Progress, technology & innovation
Economic inequality
Climate and environment
Economic paradigm change

Programme Teams

Economics, Inequality & Opportunity (EIO)

Related Projects

Employment, Equity and Growth

This research programme supported by the Resolution Foundation showed that while rich countries have faced common challenges in an era of globalization and rapid technological change, institutions and policy responses mattered in the extent improvements in incomes and living standards were shared.
Labour Markets

Our team studies how labour market institutions and policies -- from minimum wages to collective bargaining -- influence the distribution of earnings, and how the power of employers affects the fortunes of low-wage workers.
Large Language Models for Inequality Research

Our team pursues two strands of research, examining (1) how the rise of artificial intelligence affects employment patterns, income inequality, and wealth inequality, and (2) how these new tools can reveal new insights into patterns of inequality.
Poverty & Income Inequality

Our team aims to provide evidence-based guidance on how state policies can make life better for low-income households.
Social Mobility & Economic Opportunity

Using a mix of administrative and survey data, we study how childhood exposure to poverty shapes later-life outcomes, and which policies are most effective at breaking the intergenerational cycle of poverty.