IGoR is an ARPA-H program aimed at making biomedical research more rigorous and efficient through an interconnected research ecosystem. Its planned components include mechanistic models of complex diseases, an AI-enabled system to identify knowledge gaps and recommend experiments, standardized protocols intended to support reproducibility, and a network of qualified laboratories that return data to refine the models. The program describes this system as a way to connect disease modeling, experiment design, and execution, and to help researchers investigate questions that may be difficult to address with conventional approaches.