Data science has the potential to improve defense acquisition processes, which includes the full range of activities related to development, procurement, test and evaluation, deployment, and sustainment of materiel to serve military missions and needs. The Department of Defense (DoD) seeks to capitalize on innovations in data science and analytics to increase the efficiency of acquisition programs to meet rapidly evolving mission needs, identify alternative solutions to long-standing acquisition challenges, enable timely deployment of new systems, and ensure cost containment. To move toward more data-driven decisionmaking within the defense acquisition workforce, DoD seeks to identify necessary data science skills, options for training, and models for building teams with enhanced data capabilities.
To identify relevant data science skills and capabilities necessary for the acquisitions workforce and develop a framework for training and educating acquisition professionals, the National Academies of Sciences, Engineering, and Medicine's Board on Mathematical Sciences and Analytics convened a virtual workshop on April 14, 2020. This publication provides a brief overview of the day's activities, panel specific observations or suggestions from individual speakers, and highlights overarching themes.
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