Bayesian Statistical Modeling for Shelf-Life Prediction

A subcontract opportunity has been posted by the NASA Shared Services Center under the National Aeronautics and Space Administration for the development of Bayesian statistical models to analyze nutrient and sensory degradation data from 24 space food items, with the goal of predicting shelf-life and extrapolating those findings to a full menu of over 200 items. The work requires advanced statistical modeling techniques capable of handling complex, limited datasets typical of space food systems, and must produce robust, scalable predictions that account for environmental variables encountered in space missions. The contract is designated as a Small Business Set Aside under NAICS code 541620, indicating it is reserved for small businesses, and the place of performance is specified as Houston, Texas with a zip code of 77058. The solicitation was posted on August 4, 2026, with a firm response deadline of August 11, 2026, at 6:00 PM Eastern Time, and the nature of the agreement is classified as a subcontract, suggesting the successful proposer will be working under a prime contractor or existing NASA contract structure.