Substance abuse is on the rise in America, but the federal government has an opportunity to leverage data analytics for an effective response.
Get answers to frequently asked questions about the challenge.
Cash prizes include $500 for first place, $300 for second place, and $150 for third place.
Competitor submissions will be evaluated across four objective areas: innovation, feasibility, impact, and AI adoption.
LMI and the University of Virginia (UVA) School of Data Science have teamed up to bring an entrepreneurship competition to Grounds. This challenge calls on innovators to spur progress around health equity solutions through the design of artificial intelligence (AI) to drive insights that are coupled with adoption strategies.
LMI and the UVA School of Data Science are seeking innovative, impactful, and attainable solutions that use artificial intelligence (AI) and/or machine learning (ML) to address a health equity issue.
Learn about the background for the challenge, including definitions of health equity, explainable AI, and AI adoption and change management.
Learn the terms and conditions for participation in the data entrepreneurship challenge, including eligibility, submission, prize payment, and intellectual property.
David supplies subject matter expertise to the Department of Defense (DoD) parts management and diminishing manufacturing sources and material shortages (DMSMS) communities.
Dr. David Pustai is the vice president of LMI’s science & technology (S&T) service line, focused on providing expert advisory and innovative support services to resolve critical scientific and technical challenges for national security.