The Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) is offering this Lagrange grant to develop novel mathematical methods, on both theoretical and algorithmic fronts, aimed at solving complex high-dimensional dynamic data-driven optimization and decision-making problems. This grant is for research that specifically addresses the inherent challenges arising from the nonlinear, nonconvex, and hybrid (continuous, discrete) nature of realistic complex application problems. Proposed solutions must be innovative, as research offering existing optimization methods for application areas is specifically excluded, focusing instead on groundbreaking approaches for advanced decision support and optimization in dynamic environments.
Opportunity ID: 294477
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | HR001117S0039 |
Funding Opportunity Title: | Lagrange |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Cooperative Agreement Other Procurement Contract |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | – |
Assistance Listings: | 12.910 — Research and Technology Development |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Jun 07, 2017 |
Last Updated Date: | – |
Original Closing Date for Applications: | Aug 30, 2017 |
Current Closing Date for Applications: | Aug 30, 2017 |
Archive Date: | Sep 29, 2017 |
Estimated Total Program Funding: | – |
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: | DARPA – Defense Sciences Office |
Description: | The Defense Sciences Office at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals to develop novel mathematical methods, on both the theoretical and algorithmic fronts, which will solve high-dimensional dynamic data-driven optimization and decision-making problems. Proposed research should fully address challenges that arise from the nonlinear, nonconvex, hybrid (continuous, discrete) nature of underlying modeling and optimization of realistic complex application problems. Specifically excluded is research that offers existing solutions and optimization methods for application areas. |
Link to Additional Information: | FedBizOpps |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
BAA Coordinator
Email:Lagrange@darpa.mil |
Version History
Version | Modification Description | Updated Date |
---|---|---|
Related Documents
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 3 Proposal Slide Templates.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 4 Proposal Technical & Management Volume.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 5 Proposal Cost Volume.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Broad Agency Announcement Lagrange 06-07-17.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 1 Abstract Summary Slide.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 2 Abstract Template Tech Description & Cost.pdf
Folder 294477 Full Announcement-HR001117S0039 -> HR001117S0039 Attachment 6 Proposal Admin & Natl Policy Requirements Volume.pdf
Packages
Agency Contact Information: | BAA Coordinator Email: Lagrange@darpa.mil |
Who Can Apply: | Organization Applicants |
Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
---|---|---|---|---|---|---|
12.910 | PKG00233050 | Jun 07, 2017 | Aug 30, 2017 | View |
Package 1
Mandatory forms
294477 RR_SF424_2_0-2.0.pdf
294477 AttachmentForm_1_2-1.2.pdf
Optional forms
294477 SFLLL_1_2-1.2.pdf