Prachi Bansal

Areas of Interest & Expertise

  • Agrarian Change
  • Labour Economics
  • Food Security
  • Gender
  • Computational Methods in Economics
  • Data, Development, and Democracy
  • Disability Inclusion


Prachi completed her PhD from the Centre for Informal Sector and Labour Studies, Jawaharlal Nehru University (JNU). She also has a master’s degree in Economics from JNU

Her research interests include field-based research and working with large-scale unit-level datasets. Her research spans agrarian issues, food security, labour, and land acquisition. Her PhD thesis was on labour absorption in Indian agriculture. 

She has extensive experience working with UN organisations. She has worked as an Agricultural Statistician at the Food and Agriculture Organisation (FAO) of the United Nations, Thailand. She developed expertise in data-anonymisation techniques, the use of geospatial data, handling micro-data for different countries, and calculating different Sustainable Development Goal (SDG) indicators. 

She has worked with the International Labour Organisation, Geneva as a consultant on issues related to bonded labour, child labour, forced labour, and human trafficking.

She has been teaching quantitative methods at the Asian College of Journalism (ACJ), Chennai since 2017. Presently, she is also working on making data analysis easier and accessible for visually impaired scholars through the use of innovative pedagogical methods.

She has presented her research work on various platforms, including the University of Oxford, International Labour Organisation (ILO), as a keynote speaker at the International Year of Pulses 2016 Regional Dialogue for Asia and the Pacific, Mongolia.


Chapters in Edited Books

Journal Articles

Book Review

Online Articles


Provision of training

  • Bansal, P. (Forthcoming). Data analysis for the visually impaired, Azim Premji University, 
  • Bansal, P. (2022, November 28 – December 2). SDG 5a1 compilation for Bhutan and Indonesia, technical meetings to compile farm-based SDG indicators and anonymised geospatial data layers, FAORAP, Bangkok.
  • Bansal, P. (2020, January 1). Sustainable Development Goals Indicator 2.3.1, and 2.3.2 related to productivity and incomes of small – scale food producers, training on SDG2 (End hunger, achieve food security, and improved nutrition and promote sustainable agriculture), National Survey Systems Training Academy, NSSO.
  • Bansal, P. (2019, May 1). Sustainable Development Goals Indicator 2.3.1, 2.3.2 and 2.4.1 related to productivity and incomes of small – scale food producers, Introductory workshop on SDG indicators related to food and agriculture, Food and Agriculture Organisation (FAO) of the United Nations, New Delhi.