Research

Work in progress

1. Effects of Social Movements on Student Bias in Faculty Evaluations

   Vasundhara Sharma, Deepa Mani, Aditya Karanam, and Shivansh Gupta

   2026

   Work in progress

   Abs

   Draft in preparation. This project studies how social movements influence bias in student evaluations of faculty, with a focus on behavioral and perceptional changes.

2. The Generative AI Dilemma: Enhancing Productivity while Managing Technical Debt in Open Source Development

   Vasundhara Sharma, Aditya Karanam, and Shivansh Gupta

   2026

   Work in progress

   Abs

   Under model development. This paper investigates the behavioral consequences of generative AI adoption in open-source software development. Using large-scale observational data, it studies how AI-assisted coding alters developer sorting across projects, the match between expertise and task requirements, and patterns of contribution. The findings aim to shed light on how AI tools reshape incentives, coordination, and long-term project sustainability.

3. Examining Effects of AI Disclosure on Early-Stage Ventures

   Vasundhara Sharma, Anitesh Barua, Ashish Agarwal, Aketi Gayatri, and Shivansh Gupta

   2026

   Work in progress

   Abs

   Draft in preparation. This paper studies how transparency about artificial intelligence reshapes market behavior in creative funding contexts. Using a platform-level policy change as a source of exogenous variation, we show that mandatory AI disclosure leads to significant declines in funding outcomes. We argue that disclosure activates a multi-channel devaluation process, wherein perceptions of reduced human effort, diminished authenticity, and heightened skepticism jointly suppress support. By linking causal estimates with discourse-based evidence, the study highlights how transparency can trigger adverse belief formation in environments where value is closely tied to human authorship.

Research assistance

1. Platform Design to Curb Misinformation

   Vasundhara Sharma, Anitesh Barua, and Ashish Agarwal

   2025

   Research assistance
2. Hidden Ads in YouTube Kids Videos: Effects of Platform Policy Changes

   Vasundhara Sharma, Sumeet Kumar, and Ashish Agarwal

   2025

   Research assistance

Patent

1. Method and System for Classifying and Detecting True Well Control Events During Drilling Operations

   Jaspreet Singh, Somnath Das, Shivansh Gupta, Idris Kagdi, and Rohit Kumar

   2023

   Patent

   Abs

   Indian Patent, Published and under review, Patent No. 202311057956

Paper presentation

1. Automated Analysis through Natural Language Processing of DGMS Fatality Reports on Indian Non-Coal Mines

   Himanshu Shekhar, Shivansh Gupta, and Siddharth Aggarwal

   In International Conference on Information Systems and Computer Networks, 2021

   Paper presentation

   Abs

   Mining activities pose a major threat to the safety of mine workers due to the inherent risky nature of the job. To realize the objective of preventing fatal and non-fatal injuries, it is imperative for a mine management to analyze site specific mine safety data. This paper is the first attempt to automate the analysis of Directorate General Mines Safety (DGMS) fatality reports on Indian non-coal mines. It is done by text mining and natural language processing (NLP) techniques. The proposed method sidesteps multiple man hours of scrutinizing each report and technical expertise required in analyzing mining accidents. The authors have taken 6 years’ worth of data ranging from 2010–2015 published by DGMS. The attempt revealed valuable insights into the causes of injuries such as accidents occurrence is highest in states of Rajasthan followed by Andhra Pradesh. The leading indicators of fatality included falling from heights, age between 28 to 32 years, worker class of ‘mazdoors’, and shift timings between 10 AM and 2 PM. Furthermore, results show accidents happened mostly in small scale stone mines. This will be a step forward for the Indian mining industry to extract meaningful results from more such text data quickly and accurately to make better decisions. The methodology can be extended to the Indian coal mining industry easily.