The Department of Defense is offering the FY17 JPC-1/MSIS MACH Learning Award to support research in developing predictive machine learning modeling systems for early training needs prediction, aiming to improve training efficiency for military and public education. The grant seeks to define evaluation criteria, develop measuring tools, and create a prototype predictive model using real data and knowledge. The research outcomes will enable testing in a laboratory setting and interface description, without the need for full interface functionality. Closing date for submissions is May 12, 2017.
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 |
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Related Documents
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