Opportunity ID: 290635

General Information

Document Type: Grants Notice
Funding Opportunity Number: W81XWH-17-R-MSI1
Funding Opportunity Title: JPC-1 MSIS MACH Learning Award
Opportunity Category: Discretionary
Opportunity Category Explanation:
Funding Instrument Type: Cooperative Agreement
Grant
Procurement Contract
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards: 2
Assistance Listings: 12.420 — Military Medical Research and Development
Cost Sharing or Matching Requirement: No
Version: Synopsis 1
Posted Date: Dec 12, 2016
Last Updated Date:
Original Closing Date for Applications: May 12, 2017
Current Closing Date for Applications: May 12, 2017
Archive Date: Jun 11, 2017
Estimated Total Program Funding: $3,200,000
Award Ceiling:
Award Floor:

Eligibility

Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility”
Additional Information on Eligibility:

Additional Information

Agency Name: Dept. of the Army — USAMRAA
Description: The FY17 JPC-1/MSIS MACH Learning Award supports research to determine, define, and validate predictive machine learning modeling systems that predict early stages of training needs in order to eliminate the current culture of just-in-time training or not being able to offer refresher training in an efficient manner. The intended outcomes are relevant for military and general public training and educational purposes.
The FY17 JPC-1/MSIS MACH Learning Award seeks metrics/evaluation criteria, the definition of those metrics/evaluation criteria, and specific measuring tools to obtain (collect) and potentially analyze the metrics/evaluation criteria needed to develop a sufficient algorithm for use in the prediction of training needs, both in the skill acquisition phase and in refresher training. It is also seeking a proof-of-concept and/or prototype (depending on award vehicle) in which the proposed predictive model works together with incoming data/information from different, well-evidenced sources. The models need to use real data/information/knowledge and need to compare against known guidelines within the relative medical discipline and a comparable, peer-level group.
The outcomes of the research will allow data/information/knowledge into the proof-of-concept and/or prototype (depending on award vehicle) model. The model needs to be tested in a laboratory-type environment, preferably by a subawardee with no active participation in the development of the model. Actual interfaces will need to be described and defined in the outcome, but functionality of the entire defined interface does not need to be demonstrated in the delivered proof-of-concept and/or prototype (depending on award vehicle).
Link to Additional Information:
Grantor Contact Information: If you have difficulty accessing the full announcement electronically, please contact:

CDMRP Help Desk

Phone: 301-682-5507

Email: help@eBRAP.org

Email:help@eBRAP.org

Version History

Version Modification Description Updated Date

Folder 290635 Full Announcement-JPC-1 MSIS MACH Learning BAA -> JPC-1_FY17 MACH Learning BAA_GG2.pdf

Packages

Agency Contact Information: CDMRP Help Desk
Phone: 301-682-5507
Email: help@eBRAP.org

Email: help@eBRAP.org

Who Can Apply: Organization Applicants

Assistance Listing Number Competition ID Competition Title Opportunity Package ID Opening Date Closing Date Actions
12.420 PKG00229732 Dec 12, 2016 May 12, 2017 View

Package 1

Mandatory forms

290635 RR_SF424_2_0-2.0.pdf

290635 RR_Budget_1_4-1.4.pdf

290635 PerformanceSite_2_0-2.0.pdf

290635 AttachmentForm_1_2-1.2.pdf

Optional forms

290635 RR_SubawardBudget30_1_4-1.4.pdf

2025-07-09T10:45:09-05:00

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