The U.S. Department of Defense (DoD) has a long tradition of scientific and technical innovation. Maintaining this edge requires the identification and cultivation of Emerging Technology Leaders (ETLs) at the officer level, as well as optimal allocation of technical expertise (both military and civilian) across the broader DoD enterprise. To meet this need, Kairos Research proposes to develop a novel data analytics tool called TALENT (Targeting Army Leaders with Expertise in Novel Technologies). TALENT applies deep neural network (DNN)-based analysis of CVs/resumes with graph-based representations of technical fields of study to enable the identification, recruitment, selection, development, and distribution of ETLs. In so doing, TALENT aligns with the Armys plan to develop a 21st Talent Management System that incorporates mature people analytics with data infrastructure and reporting, statistical analyses, model-building, and data science techniques.
