The Army plans to groom a new class of “emerging technology leaders” and wants to use data science and machine learning to identify the best soldiers for the job and where their talents are most sorely needed.
Fielding new technologies in the government and military space requires deep technical skills, an encyclopedic knowledge of federal policy and procurement and strong leadership willing to push through barriers and ensure sustained support. Having all these skills in one place usually requires a team of individuals. But having strong technologists in leadership roles can help bridge some of those gaps—especially between IT folks deep in the weeds and top brass floating high above.
Under a forthcoming solicitation under the Army’s Small Business Innovation Research, or SBIR, program, the branch will be asking small businesses for “solutions leveraging data science and/or machine learning techniques that will revolutionize how the Army recruits, develops, selects, and distributes talent across the force.”
The ideal solution will be a data analytics tool that can be used for:
Skill identification: Unbiased identification and estimation of an individual’s skills based on standard CV/resume input. Identification and estimation of a job’s required skills based on a job description.
Talent Recruitment: Strategies for targeting specific workforce sectors with prescribed sectors of elite talent.
Talent Selection: Unbiased assessment and comparison regarding applicability of certain skillsets as compared to workforce requirements.
Talent Development: Tell individuals what their skill deficienci ..
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