Knowledge Enhanced Compressive Measurement (KECoM) | Apply Online

Opportunity Summary:

The Knowledge Enhanced Compressive Measurement (KECoM) opportunity was a Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office Broad Agency Announcement (BAA) focused on advancing the basic science and mathematical foundations of how physical signals are measured. The core theme is compressive measurement, meaning measurement approaches that aim to capture the essential information in a signal using fewer measurements than traditional methods might require, especially when measurements are costly, limited, or constrained. A central emphasis of this BAA is the unified use of prior knowledge about the signal or environment together with finite measurement resources. In practice, that means DARPA was looking for research that does not treat sensing, modeling, and inference as separate steps, but instead develops principled frameworks that formally incorporate what is already known (assumptions, models, side information, context, physics, sparsity, structure, or training data) into the measurement design and reconstruction process so that limited sensing resources are used as efficiently as possible.

From an administrative standpoint, the opportunity was identified as Funding Opportunity Number DARPA BAA 10 38, titled "Knowledge Enhanced Compressive Measurement (KECoM)." It fell under the category of Science and Technology and other Research and Development, and it was offered under multiple possible award instruments, including cooperative agreements, grants, other transactions, and procurement contracts, giving DARPA flexibility in how it structured awards depending on the nature of the work and the level of government involvement needed. There was no cost sharing or matching requirement stated, which typically lowers barriers for applicants by not requiring them to provide a specific percentage of project funding from non-federal sources. Eligibility was listed as unrestricted, meaning it was open to a wide range of organizations (for example, universities, companies, nonprofits, and potentially other qualified entities), subject to any clarifications that may have been included in the full announcement text.

The timeline indicates the announcement was posted on February 3, 2010, with an original and current closing date of May 24, 2010, and an archive date of June 24, 2010. This shows it was a time-limited solicitation and is now closed. The short public description signals that proposals were expected to concentrate on foundational questions and enabling theory: what mathematical principles govern the act of measurement itself, how measurement strategies should be designed when only a limited number of measurements are possible, and how prior knowledge can be fused into that process in a rigorous way. While the brief summary does not enumerate specific technical areas, it clearly points toward research topics such as compressive sensing theory, measurement design and optimization, inference and reconstruction under constraints, and formal methods for integrating models or contextual knowledge into sensing pipelines.

For applicants needing access to the full announcement, DARPA provided a point of contact: Dr. Mark A. Neifeld, listed as the BAA Coordinator, with instructions to reach out if there were difficulties accessing the announcement electronically. Overall, KECoM was positioned as a mathematically grounded, high-risk/high-reward research effort aimed at reshaping how sensing and measurement are performed when information is scarce, measurements are expensive, and success depends on making smart use of what is already known about the signal being observed.

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