SLED Opportunity · NEW YORK · NEW YORK
AI Summary
The City University of New York (CUNY) is seeking information on AI platforms that enhance student success through predictive analytics. They are particularly interested in tools that identify at-risk students and improve retention without centralized data warehouses. Responses are due by July 10, 2025, at 2:00 PM. Contact Joanne Gill for more details.
The City University of New York (CUNY) is issuing this RFI to gather information about platforms that leverage artificial intelligence and predictive analytics to support student success. This includes—but is not limited to—tools that help academic advisors identify at-risk students, deliver targeted interventions, and improve retention and graduation outcomes through early warning systems and customized student insights. CUNY is interested in models that produce highly interpretable, individual-level predictions based on longitudinal institutional data— without requiring the construction of a centralized data warehouse or reliance on regression-based inference models that produce generalized rather than individualized outputs. Platforms that support iterative retraining and collaborative development are of high interest. Due date:07/10/2025 2:00 PM County(ies): All NYS counties Location: New York
SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.
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