Using data aggregation, harmonization, fusion, and other data enhancement methods, you can help the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) enhance the utility of NIDDK datasets for AI applications. The goal of the NIDDK Data Centric Challenge will be to generate an “AI-ready” dataset that can be used for future data challenges, and to produce methods that can be used to enhance the AI-readiness of NIDDK data. Participants will enhance data on Type 1 Diabetes available through the NIDDK Central Repository (TEDDY and TrialNet studies). Registration for this challenge closed on 5:00 p.m. EDT on November 30th, 2023. Participants of this Challenge have until 11:59 p.m. EDT on January 22, 2024 (submission deadline extended), to submit their solutions. Check out Challenge.gov to learn more about the challenge, how to enter, eligibility, and prizes: NIDDK Central Repository Data-Centric Challenge