Manpower/Personnel/Training Technology

Abstract

This Program Element (PE) designs and validates applied behavioral and social science research to enhance the Soldier Lifecycle (e.g., selection, assignment, training, and leader development) and human relations (e.g., unit cohesion). This PE develops new personnel measures and methods that more fully assess potential and predict performance, behavior, attitudes, and resilience. These technologies also provide innovative and effective Talent Management methods to optimize individual and team performance to ensure the Army can meet mission requirements in uncertain and complex environments. This PE develops new performance measures and metrics for individuals and units, designs innovative training methods, and conducts scientific assessments to inform Human Capital policy and programs. Research in this PE will result in effective non-materiel solutions to help the Army adjust to changes in force size and structure, a variety of mission demands and contexts, challenges in human relations, and budgetary constraints. Work in this PE complements PE 0603007A (Manpower, Personnel and Training Advanced Technology). The cited work is consistent with the Under Secretary of Defense for Research and Engineering priority focus areas, the Army Vision, the Army's Talent Management Strategy, and the Army Modernization Strategy. Work is performed by the Army Research Institute (ARI) for the Behavioral and Social Sciences at Fort Belvoir, VA.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2022
Source ID
0602785A_2_2040_PB_2022
Change Summary Explanation
Funding was decrease by $0.683 million due to the Army Artificial Intelligence Task Force (AITF) planned on doing talent management research in 6.2 and 6.3. As part of the EE PEG 2.5 Trade space Assessment, the Army Research Institute (ARI) was used as a bill payer for this talent management work. The funding from the trade space assessment was left in the original APEs with the intention of creating a new task specific to AI in talent management. G-1 does not want any funding for the AITF to be mixed with their APEs. The subject of AITF involvement in talent management beyond basic research will be addressed in POM23. $0.683 million of FY22-23 will be realigned into Program Element 0603040 (Artificial Intelligence and Machine Learning Advanced Technologies), Project CL1 (AI Enhanced Intel Operations Advanced Technologies).
Service Agency Name
Army

Entities

Organizations

  • United States Army

Tags

Communities of Interest

  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Attrition
  • Cohesion
  • Engineering
  • Environment
  • Job Satisfaction
  • Learning
  • Life Cycles
  • Machine Learning
  • Manpower
  • Military Occupational Specialties
  • Military Research
  • Resilience
  • Social Sciences
  • Task Forces
  • Training
  • United States

Readers

  • Military Science and Technology Research and Modernization.
  • Organizational Psychology.

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