Peter Haas and Alexandra Meliou were awarded a $600K grant from the National Science Foundation for the project “Scalable In-Database Prescriptive Analytics for Dynamic Environments”.

Summary: The project aims to augment prior work on in-database support for constrained optimization problems with capabilities to handle dynamic environments. Specifically, the project will extend prior methods to handle data uncertainty at scale via in-database support for large-scale stochastic integer linear programs (ILPs) that are specified by the user as “stochastic package queries” (SPQs) using an extension of the SQL database query language.