1 citations · 1 across the 10 of their papers we have counts for
12 papers
Actionable Insights from Observational Data: The Case of Advanced Classes in K-12 Education
Nabit Bajwa, Seth B. Hunter, Sanmay Das
A fundamentally challenging question in K-12 education is about the effects of taking more advanced or challenging classes. It is particularly complex because students (and/or thei…
Scarcity and Predictive Uncertainty: Implications for Societal Resource Allocation
Shafkat Farabi, Patrick J. Fowler, Sanmay Das
An emerging literature examines the critical question of when and how prediction can be useful in allocating scarce societal resources. We examine a novel variant of this question:…
Benchmarking Geospatial Foundation Models for Agriculture Applications
Zhuocheng Shang, Sanmay Das, Ahmed Eldawy
Geospatial foundation models pretrained on satellite imagery promise broad generalization across remote sensing tasks and regions, but their geographic transferability has not been…
Can LLMs Rank? A Tale of Triads and Triage
Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler +1
From housing allocation for households experiencing homelessness to triage in emergency departments, LLMs are increasingly being considered as judges of consequential decisions tha…
Budgeting Discretion: Theory and Evidence on Street-Level Decision-Making
Gaurab Pokharel, Sanmay Das, Patrick J. Fowler
Street-level bureaucrats, such as caseworkers and border guards routinely face the dilemma of whether to follow rigid policy or exercise discretion based on professional judgement.…
SMaRT: Online Reusable Resource Assignment and an Application to Mediation in the Kenyan Judiciary
Shafkat Farabi, Didac Marti Pinto, Wei Lu +4
Motivated by the problem of assigning mediators to cases in the Kenyan judicial system, we study an online resource allocation problem where incoming tasks (cases) must be immediat…
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…
Street-Level AI: Are Large Language Models Ready for Real-World Judgments?
Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler +1
A surge of recent work explores the ethical and societal implications of large-scale AI models that make "moral" judgments. Much of this literature focuses either on alignment with…
Who Pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies
Tasfia Mashiat, Patrick J. Fowler, Sanmay Das
AI-powered scarce resource allocation policies rely on predictions to target either specific individuals (e.g., high-risk) or settings (e.g., neighborhoods). Recent research on ind…
Active Geospatial Search for Efficient Tenant Eviction Outreach
Anindya Sarkar, Alex DiChristofano, Sanmay Das +3
Tenant evictions threaten housing stability and are a major concern for many cities. An open question concerns whether data-driven methods enhance outreach programs that target at-…
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action
Tasfia Mashiat, Alex DiChristofano, Patrick J. Fowler +1
There has been considerable recent interest in scoring properties on the basis of eviction risk. The success of methods for eviction prediction is typically evaluated using differe…
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
Gaurab Pokharel, Sanmay Das, Patrick J. Fowler
Street-level bureaucrats interact directly with people on behalf of government agencies to perform a wide range of functions, including, for example, administering social services…