The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Cornell University. The 5-year grant, with a start date of August 15, 2024, will fund research to improve public decision-making by developing statistical methods to understand and account for biases in crowdsourced data. The project aims to: 1) measure biases in crowdsourced incident reporting and community health monitoring data, which can be spatially correlated and varied; 2) audit responses to crowdsourced reports when resources are constrained; and 3) collaborate with government and non-profit stakeholders to improve the entire crowdsourced data response pipeline. The research will contribute new methods for Bayesian inference, optimization, machine learning, and data-driven decision-making to address challenges in complex environments like education, health, and government.
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