# Collaborative Research: Ranking of Entities

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of Georgia Research Foundation Inc (GA) · $180,000

## Abstract

With limited resources available to tackle various challenging problems, policy makers and stakeholders often have to prioritize which problems to address in what locations or domains. In statistical terms, this involves the ranking of sub-populations and regions when limited (or no) directly observed data is available, and the available data can be on multiple aspects and of diverse types and modalities. The investigators will address the core theoretical, methodological and algorithmic challenges in such problems of ranking entities in multiple contexts of interest to the nation and to public life. The investigators will also develop techniques for measuring and quantifying the variability and uncertainty of such advanced, data-driven, principled ranking techniques to aid policymakers and stakeholders.

For data to be analyzed using hierarchical models, subject to multiple sources of variability and dependencies, the investigators will develop reliable estimates of the ranks of entities with an appropriate quantification of associated uncertainty. The proposed methodologies will follow a Bayesian framework or a resampling-based frequentist one. While these techniques are primarily computation-driven, the investigators will address theoretical foundations of the proposed approaches both in the Bayesian and in the resampling-based frequentist paradigms. Using scalable computational techniques and leveraging geometric and topological properties of data, the investigators wil

## Key facts

- **NSF award ID:** 2515814
- **Awardee organization:** University of Georgia Research Foundation Inc (GA)
- **SAM.gov UEI:** NMJHD63STRC5
- **PI:** Gauri Datta
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** —
- **Estimated total:** $180,000
- **Funds obligated:** $180,000
- **Transaction type:** Standard Grant
- **Period:** 09/01/2025 → 08/31/2028

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2515814

## Citation

> US National Science Foundation, Award 2515814, Collaborative Research: Ranking of Entities. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2515814. Licensed CC0.

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*[NSF Awards dataset](/datasets/nsf-awards) · CC0 1.0*