Fields of Interest
Broad Methodological Areas: Econometrics, Machine Learning, Causal Inference
Specialisation: Program Evaluation, Recommendation Systems, Crowdsourcing.
Broad Application Areas: AI & Society; Technology & Labour; ML Innovations for Social Science
Specialisation: Algorithmic bias, Skilling and Certification, Gender and STEM, Gender and Mobility
PhD. Thesis
Machine Learning Techniques in Applied Econometrics (slides)
Awards and Grants
Principal Investigator, CoImpact Gender Fund Grant for study on “Fixing the Leak: Advancing STEM Innovation and Inclusion in India, One Woman Scientist at a Time”. Co-Principal Investigator from 2022-2023, Principal Investigator 2023- present. Project Website: STEMtheGap. Grant amount: USD 500,000 (2022).
Principal Investigator, Google Award for Inclusion Research for study on “The Road Less Travelled: Contextualzing and Measuring Bias in Crowdsourced Street Safety Ratings in India ”. Grant amount: USD 35,000 (2021).
Principal Investigator, Multi-Institutional Faculty Interdisciplinary Research Project Grant for study on “Algorithmic Bias and the Law”. Grant amount: INR 20 lakhs (2021).
Principal Investigator, NCAER National Data Innovation Center Grant for “Asset Index Estimation using Deep Learning on Images” as Principal Investigator. INR 6 lakhs (2019).
Co-Principal Investigator, University of Chicago Delhi Center Grant for study on “Improving Skilling, Signalling and Safety in the Indian Informal Labour Market”. Grant amount: USD 30,000 (2019).
Dudley Seers Memorial Prize for Best Article, Journal of Development Studies. Prize Amount: GBP 1500 (2021).
Co-Principal Investigator, University of Chicago Delhi Center Grant for study on “Characterizing the Skill Space in India’s Urban Informal Market”. Grant amount: USD 15,000 (2017).
William Larimer Mellon PhD Fellowship, Carnegie Mellon University (2009-2015).
Graduate Workshop in Computational Social Science Scholarship, Santa Fe Institute (2011).
Published and Forthcoming Work (by application area)
AI & Society:
“Algorithms and Recidivism: A Multi-disciplinary Systematic Review” Arul George Scaria, Vidya Subramanian, Nevin K George, Nandana Sengupta. Proceedings of AAAI/ACM Conference on AI, Ethics, and Society, Forthcoming.
"Assessing the Feasibility and Ethics of Economic Status Prediction using Deep Learning on Household Images." Dar, Aatif Nisar, Nandana Sengupta, and Chetan Arora. ACM Journal on Computing and Sustainable Societies, 2024 (paper).
“In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India” Nandana Sengupta, Ashwini Vaidya and James Evans. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency, 2023. (paper)
“A Global South perspective for ethical algorithms and the State” Nandana Sengupta, Vidya Subramanian, Anwesh Mukhopadhyay and Arul George Scaria. Nature Machine Intelligence, 2023. (paper)
Technology & Labour:
“Do Online Certifications Improve Job Market Outcomes? Evidence from an IT Skills Certification Platform in India” Nandana Sengupta, Neaketa Chawla, Anna Agarwal and James A Evans. Information Economics and Policy, 2023. (paper)
“The Skills Space in Informal Work: Insights from Bangalore Slums” Nandana Sengupta, Sarthak Gaurav and James Evans. Journal of Development Studies, 2021. (paper). *Awarded the Dudley Seers Memorial Prize for Best Article in Journal of Development Studies, 2021
ML Innovations for Social Science:
“Sparse Data Reconstruction, Missing Value and Multiple Imputation through Matrix Factorization” Nandana Sengupta, Madeleine Udell, Nati Srebro and James Evans. Sociological Methodology, 2022. (paper)
“Inference for the Linear IV Model Ridge Estimator Using Training and Test Samples” Fallaw Sowell and Nandana Sengupta. Stats, 2021. (paper)
“On the Asymptotic Distribution of Ridge Regression Estimators using Training and Test Samples” Nandana Sengupta and Fallaw Sowell. Econometrics, 2020. (paper)
“Simple Surveys: Preference Retrieval Inspired by Recommendation Systems” Nandana Sengupta, Nati Srebro and James Evans. Social Science Computer Review, 2019. (paper)
“Adaptive Sampling for Course Ranking” Sumeet Katariya, Lalit Jain, Nandana Sengupta, James Evans and Robert Nowak . AISTATS, 2018. (paper)
Others:
“Justice Delayed: A district-wise empirical study on the Indian judiciary” Rathan Sudheer, Varsha Aithala and Nandana Sengupta. Journal of Indian Law and Society, 2021. (paper)
“Is India’s Safe Motherhood Scheme Leading to Better Child Health Care Practices?” Nandana Sengupta and Aakanksha Sinha. Global Social Welfare, 2017. (paper)
Book Chapters:
Sengupta, Nandana. “An Introduction to Machine Learning for Social Science Applications”, Data Science for Decision Making, edited by Faiz Hamid and Deep Mukherjee, Springer, Forthcoming.
Working Papers (by application area)
AI & Society:
“Attitudes towards Algorithm use in Society: A Behavioral Experiment from India” Nandana Sengupta, Nevin George, Arul George Scaria.
“Household Economic Status Prediction with Images: Evaluating the usefulness of Neural Network Techniques” Aatif Nisar, Nandana Sengupta, Chetan Arora.
“Can Crowdsourced Safety Data Accurately Predict Safety Perceptions of Women from Low-Income Urban Settlements?” Nandana Sengupta, Aditya Medury and Sameer Ali.
Technology & Labour:
“A Foot in the Door: A Critical Analysis of the Supernumerary Seats for Girls in the IITs” Nandana Sengupta, Rohit Munshi, Ravinder Kaur.
“Does Negative Marking Lead to Gendered Exam Taking Behavior: Experimental Evidence from India” Swati Sharma, Nandana Sengupta, Sumitava Mukherjee.
“Gender Differences in Faculty Productivity and Knowledge Generation: An Empirical Analysis from India” Nandana Sengupta, Rohit Munshi, Ankita Baidya.
“Mind Your Language: English Proficiency and Engineering Graduates’ Job Market Experience in India” Neaketa Chawla, Nandana Sengupta, Anna Agarwal and James A Evans.