Bachelor of Arts (Honours) (B.A. Hons.), University of Delhi
Master of Arts (M.A.), Jawaharlal Nehru University
M.A.; Ph.D. (Jawaharlal Nehru University)
Assistant Professor and Assistant Dean, Placement and Internships
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| ORCID ID | 0000-0002-6744-4787 |
| Key Expertise | Agrarian Change, Development, Poverty, Labour, Agriculture, Inflation, Artificial Intelligence, Statistics, Food Security |
Bachelor of Arts (Honours) (B.A. Hons.), University of Delhi
Master of Arts (M.A.), Jawaharlal Nehru University
M.A.; Ph.D. (Jawaharlal Nehru University)
Dr. Prachi Bansal is an Assistant Professor of Economics at Jindal School of Government and Public Policy (JSGP). Her research primarily focuses on agriculture, labor markets, and economic development, with extensive experience in field-based research and the use of large-scale socio-economic datasets.
Her doctoral research, “Labour Absorption in Indian Agriculture since Independence: A Study based on Farm Enterprise Data” (JNU, 2017-2022), examined workforce dynamics in Indian agriculture. She has conducted large-scale socio-economic field surveys across Jharkhand, Andhra Pradesh, Haryana, Uttar Pradesh, Punjab, and Udaipur, gaining firsthand insights into rural labor markets. She is trained in handling secondary datasets such as the NSS, PLFS, and ASI, applying rigorous empirical methods to study employment, wages, and agrarian change.
She has worked as an Agricultural Statistician at the Food and Agriculture Organization (FAO), Thailand, where she contributed to projects on data anonymization, women’s participation in agriculture, and Sustainable Development Goals. As a Consultant at the International Labour Organization (ILO), Geneva, she worked on issues related to child labor, forced labor, and human trafficking, receiving a competitive ILO seed grant for her research on “Modern Forms of Debt-Bondage in Rural India.” She also secured the Azim Premji Foundation Research Funding Grant (2021) for her work on the care economy in India.
In addition to her primary research on agriculture and labor, her secondary field of study is data science and AI/ML applications in economics and policy analysis. She teaches courses on Machine Learning, Python, and Statistics using R. She explores the application of computational methods in economic research, leveraging AI and statistical tools for data-driven policymaking.
She has been actively involved in expanding access to quantitative education. In 2023, she conducted India’s first workshop on teaching R to visually impaired students at Azim Premji University, pioneering methods to make quantitative methods accessible to all. Since 2017, she has been a visiting faculty at the Asian College of Journalism, teaching Quantitative Methods using R to journalists in the Bloomberg Program. She recently conducted a workshop on NSS data exploration at the University of Kashmir for faculty and post-graduate students.
She also serves as the Disability Support Committee Representative at JSGP, working on initiatives to enhance accessibility and inclusion in higher education.
International Trade
Mathematics for Economics
Python Programming
Economics of Poverty and Inequality
Statistical Analysis using R
Statistical Methods and Data Analysis (Coursera) Masters in Public Policy (Live Sessions for Coursera)
Artificial Intelligence: Applications in Economics and Public Policy
Nominated for Best Paper under Macroeconomics at Delhi School of Economics, Winter School, 2024: Inflation Inequality Measurement in India
Awarded a grant of Rs. 10 lakhs (13,250 USD) from Azim Premji Foundation, Research Funding Programme, 2021. Project: Employment in the Care Sector inIndia: Assessing the Coverage Gap of Care Service Provisions. Duration: April 2022-Dec 2023
Awarded a seed grant of 10,000 USD by International Labour Organization (ILO), Geneva. Project: “From Research to Action: Using Knowledge to Accelerate Progress in the Elimination of Child Labor and Forced Labour” (RTA) in August 2021. Grant awarded to only ten researchers globally.
Senior Research Fellowship (SRF), University Grants Commission, India, 2019-2021
Scholarship of 1500 euros for selection in the online course offered by AGTER and the International Land Coalition entitled “Analyzing land grabbing and sharing for action”, June-July 2020
Awarded a grant of Rs. 10 lakhs (13,250 USD) from Azim Premji Foundation, Research Funding Programme, 2021. Project: Employment in the Care Sector inIndia: Assessing the Coverage Gap of Care Service Provisions. Duration: April 2022-December 2023
Awarded a seed grant of 10,000 USD by International Labour Organization (ILO), Geneva. Project: “From Research to Action: Using Knowledge to Accelerate Progress in the Elimination of Child Labor and Forced Labour” (RTA) in August 2021. Grant awarded to only ten researchers globally.
Visiting Faculty at the Asian College of Journalism, Chennai. Course: Quantitative Methods and R Programming (2017-present).
Agricultural Statistician,Food and Agriculture Organization of the United Nations, FAORAP, Thailand Project: Data Anonymization Techniques, SDG 5a.1, Statistical Briefs for Women’s Participation in Agriculture in Bhutan, Timor-Leste, Cambodia, Indonesia, and Nepal, 2022
Consultant/External Collaborator, International Labour Organization, Geneva 2021-2022
Agricultural Statistician 2021 Food and Agriculture Organization of the United Nations, FAORAP, Thailand
Indian Society of Agriculture Economics
The Indian Econometric Society (TIES)
Agricultural Statistician 2022 Food and Agriculture Organization of the United Nations, FAORAP, Thailand Project: Data Anonymization Techniques, SDG 5a.1, Statistical Briefs for Women’s Participation in Agriculture in Bhutan, Timor-Leste, Cambodia, Indonesia, and Nepal
Consultant/External Collaborator International Labour Organization, Geneva 2021-2022 Project 1: “Modern Forms of Debt-Bondage in Rural India”, paper based on a seed grant of 10,000 USD, From Research to Action: Using Knowledge to Accelerate Progress in the Elimination of Child Labor and Forced Labor Project 2: Development of 10 Country Briefs for SDG Alliance 8.7 Countries on the issue of child labour, forced labour and human trafficking
Agricultural Statistician 2021 Food and Agriculture Organization of the United Nations, FAORAP, Thailand Project: Data Anonymization Techniques on Spatial and Non-Spatial Data
| ORCID ID | 0000-0002-6744-4787 |
| Key Expertise | Agrarian Change, Development, Poverty, Labour, Agriculture, Inflation, Artificial Intelligence, Statistics, Food Security |