Introduction DTI engages the world’s leading scientists to conduct research and train practitioners in the Science of Digital Transformation – operating at the intersection of artificial intelligence, machine learning, cloud computing, internet of things, big data analytics, organizational behavior, public policy, and ethics. DTI research analyzes new business operation models, develops methods for organizational change management, investigates methods for protecting privacy, and advances dialog related to the ethical implications of AI. Central to the Institute’s research is the development and validation of algorithms and designs that can dramatically improve societal systems, for example, in healthcare, transportation, education, and national security.

Projects are reviewed on the basis of their scientific merit; prior accomplishments by principal investigators and co-principal investigators; the use of AI, machine learning, data analytics, and cloud computing; potential for impact; and suitability for testing methods at scale. Interdisciplinary and multi-institution projects are favored. Recipients are encouraged to conduct breakthrough research and to pursue and establish larger research projects with federal and other funding sources. Award recipients disseminate the results of their research during the award period, and all research results, methods, and algorithms, including algorithms and software, are made available in the public domain (non-exclusive royalty-free).

Acknowledgment Digital Transformation Institute funded researchers should acknowledge the publication and results of their work as follows: “This work was supported in part by the Digital Transformation Institute.”