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US Army Research Institute for the Behavioral and Social Sciences (ARI) – Call for White Papers

Home / Funding Opportunity / US Army Research Institute for the Behavioral and Social Sciences (ARI) – Call for White Papers

US Army Research Institute for the Behavioral and Social Sciences (ARI) – Call for White Papers

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ARI is seeking white papers under the Broad Agency Announcement for Basic, Applied and Advanced Scientific Research (W911NF-23-S-0010).

 

Developing NCO Promotion Situational Judgement Test 

  • up to USD$1.8M over 4 years.  Initial 12 month phase (USD$350,000) plus 3 optional sequential 12 month phases (USD$350,000; USD$550,000; USD$550,000)
  • White papers due 2 August 2023.
  • BAA Topic II A.2 – a.ii: Holistic Personnel Assessment
  • Research objectives
    • Review key Army resources on NCO attributes and leader development (eg Army Talent Attribute Framework, Army Leader Requirements Model) to inform NCO research
    • Develop and validate (criterion-related) a static version of an SJT tailored for junior NCO promotion
    • Extend beyond the static SJT with a scientific, innovative approach and develop a computer adaptive SJT prototype applicable across NCO ranks

 

Tactical Decision-Making Exercises to Assess and Develop Leader Critical Thinking Competencies

  • Up to USD$950,000 over 3 years. Initial 12 month phase (USD$350,000) plus 2 optional sequential 12 month phases (USD$350,000; USD$250,000)
  • White papers due 17 August 2023.
  • BAA TOPIC II A.2-.b.4: Assessing and Developing Junior Leader Competencies for Multidomain Operations
  • ARI is seeking to leverage advances in artificial intelligence to develop a diagnostically focused tactical decision-making system. This system should present tactical decision-making exercises in such a way that a student-leader is required to explain his/her thought process, thus allowing instructors to diagnose misconceptions and knowledge gaps at a deeper level than traditional testing allows. In this way, a model of critical thinking development across the career trajectory may be developed.
  • This research should be theory-driven and pursue the goal of building purposeful training exercises that can probe individuals’ task-relevant problem representations in order to diagnose specific misconceptions and knowledge gaps.

 

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