grant
Explainable Spatial Machine Learning Methods for Complex Socioeconomic Data
Organization Texas A&M UniversityLocation COLLEGE STATION, United StatesPosted 1 Sept 2025Deadline 31 Aug 2028
NSFUS FederalResearch GrantScience FoundationTX
Description preview
The aim of this project is to develop advanced explainable spatial machine learning-based artificial intelligence models and algorithms for clustering and predicting complex spatial data, focusing on problems involving socioeconomic data. These methods help uncover complex spatial patterns and provide a deeper understanding of how socioeconomic…
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