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CIVIC-PG Track B: Understanding Native American Tribal Residents Needs through Better Data and Query Systems

CIVIC-PG Track B: Understanding Native American Tribal Residents Needs through Better Data and Query Systems
CIVIC-PG Track B:通过更好的数据和查询系统了解美洲原住民部落居民的需求
批准号:
2228275
负责人:
Hosagrahar Jagadish
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-10-01 至 2024-03-31

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中文摘要
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英文摘要
The Little Traverse Bay Bands of Odawa Indians (LTBB) administration currently works with a patchwork of data silos that limits their ability to identify and address the needs of their residents. This project defines a central “database of record” containing a comprehensive set of indicators about LTBB residents and their community, such as their demographics, health, education, the economy, the natural environment, employment, housing, public safety and transportation. The database incorporates tribal knowledge in addition to standard community indicators, and includes key terms from the tribal language. This project is an important component of supporting tribal nations’ effort to develop data strategies and data sovereignty. The project incorporates technical advances in the design of this database, including: integrating existing data sets with large variations; interpolating missing values; addressing data equity, using this database to inform future data collection strategies, and making the database easy to use by tribal government employees in multiple departments and with varying levels of technical skills. Data collection is expensive, and hence must be used sparingly. This project uses a smart mix of integration and interpolation to minimize the need for fresh data collection. It builds upon the team's past work on data equity to ensure that the results obtained are equitable. In past research, there have been many recent technical advances that facilitate collecting, integrating, and analyzing data. Nevertheless, such advances often address one component of the data-driven decision making process, and integrating multiple such advances into a data project can be challenging because of the many real-life “wrinkles” that get assumed away in most academic research. This project identifies and addresses key considerations that are often missing in an academic research environment, and thus advances research generalizability through real-life deployment in a scenario with high social value. In Stage 2 of this project, the team will build a database of record, along with query facilities that are easy to use. The resulting database of record will drive the strategic direction of the tribal government, including through better targeted effort in seeking and allocating resources, and through better identifying citizens with unmet needs.This project is in response to the Civic Innovation Challenge program—Track B. Bridging the gap between essential resources and services & community needs—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
Collaborative Research: III: MEDIUM: Responsible Design and Validation of Algorithmic Rankers
III: Medium: Collaborative Research: Fairness in Web Database Applications
BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution
Collaborative Research: Framework for Integrative Data Equity Systems
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