Request for Information Mission Analytics Technology and Research for Innovative Exploitation (MATRIX)

Closed Pre-Solicitation Posted

This opportunity was awarded. See the award notice from , or the latest solicitation from .

Solicitation number
FA8650-21-S-6002
Agency
Responses due
Set-aside
No set-aside

Opportunity facts

Notice details come from SAM.gov. Updated .

About this opportunity

The Air Force Research Laboratory seeks information to support the Mission Analytics Technology and Research for Innovative eXploitation program. This program will conduct research to develop enhanced workflows and rapidly prototype software to improve analytic reasoning and insight generation from complex data sources to support military operations. Respondents should describe experience in agile software development, cloud platforms, knowledge elicitation techniques, cognitive systems engineering, experiment design and evaluation, machine learning, data science, and handling classified data up to the Top Secret level. Responses of no more than seven pages are due by February 22, 2021 and shall be submitted electronically to the contracting officer.

There is no set-aside designated for this opportunity. Potential work includes research in areas such as human-machine teaming, human performance, psychological processes, and physiological indicators to amplify analytic efficiency and effectiveness across military mission environments. By combining perspectives from human factors and cognitive systems engineering with data and computer science methods, innovative technology solutions may be created and transitioned to revolutionize analytics for warfighters over the next five years.

Notice text

The Air Force Research Laboratory, 711th Human Performance Wing, Mission Analytics Branch (711HPW/RHWA) located at Wright- Patterson AFB (WPAFB) is in the planning stage for a research program to conduct basic and applied scientific and technical research to inform fundamental design principles and theories in human-machine teaming, human performance, psychological processes, and physiological indicators to enhance Airman analytic efficiency and effectiveness across a variety of mission environments. Progress must be achieved through solutions that team human analysts with automated decision support analytics to amplify their joint ability to monitor and make sense of the world beyond what either human or automation can achieve independently.  By combining perspectives and principles from human factors and cognitive systems engineering with methods and technologies from data and computer science, this results in the creation and transition of innovative technology solutions that can revolutionize analytics for the warfighter in a variety of domains.

Files

File Type Posted
FA8650-21-S-6002 MATRIX RFI_FINAL.pdf PDF

Notice history

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