works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.GT2026

Effort Matters in Score-Based Admissions: How Retaking and Aggregation Shape Test Scores

Christine Ling, Diptangshu Sen, Juba Ziani

The paper models how students allocate effort across multiple test retakes and shows that common scoring policies like superscoring can inflate scores and increase wealth-based dis…

cs.GT2026

The Impact of Competition on Outcomes of Score-Based College Admissions

George Bentley, Diptangshu Sen, Juba Ziani

We study how the design of admissions policies affects the ability of students admitted to universities. In our model, applicants have a multi-dimensional ability, which is a combi…

cs.CY2026

Fixed Points and Stochastic Meritocracies: A Long-Term Perspective

Gaurab Pokharel, Diptangshu Sen, Sanmay Das +1

We study group fairness in the context of feedback loops induced by meritocratic selection into programs that themselves confer additional advantage, like college admissions. We in…

cs.GT2026

Data Sharing with Endogenous Choices over Differential Privacy Levels

Raef Bassily, Kate Donahue, Diptangshu Sen +2

Motivated by the rapid push to decentralize sharing of data, we study whether large-scale data sharing coalitions can form in a decentralized manner under differential privacy when…

cs.CY2026

When Should a Principal Delegate to an Agent in Selection Processes?

Benjamin Fish, Diptangshu Sen, Juba Ziani

Decision-makers in high-stakes selection processes often face a fundamental choice: whether to make decisions themselves or to delegate authority to another entity whose incentives…

cs.GT2025

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty

Valia Efthymiou, Chara Podimata, Diptangshu Sen +1

We study strategic classification in binary decision-making settings where agents can modify their features in order to improve their classification outcomes. Importantly, our work…