Image Provenance To Learn (IP2Learn) is a simulation framework that is designed for understanding preservation and reconstruction archival requirements for a class of decisions based on image inspection. IP2Learn allows users to analyze computational costs of information gathering as a function of information granularity and then assess the potential value of preserved information from decision process reconstructions.

University of Illinois at Urbana-Champaign
National Center for Supercomputing Applications (NCSA)