Systematizing Confidence in Open Research and Evidence (SCORE)

Closed Pre-Solicitation Posted

Solicitation number
HR001118S0047
Agency
Defense Advanced Research Projects Agency Department of Defense
Responses due
Set-aside
No set-aside

Opportunity facts

NAICS code
541720 Research and Development in the Social Sciences and Humanities
PSC
Not on record

Notice details come from SAM.gov. Updated .

About this opportunity

The Defense Advanced Research Projects Agency seeks proposals to develop automated tools that can assign quantitative Confidence Scores to social and behavioral science research results and claims based on their assessed reproducibility and replicability. Proposals are sought across three technical areas and are due on various dates between June 2018 and March 2019. Evaluation will consider scientific and technical merit, relevance to DARPA's mission, and cost realism. The period of performance is January 2019 to January 2022, comprising initial and subsequent phases.

There is no set-aside designation. Research will involve data curation and algorithms, with anticipated contract types including contracts, cooperative agreements, and other transactions. Awards are not specified but the 36-month period of performance and scope of developing tools to assess confidence in open research suggests multi-million dollar total budgets. Proposals are due by March 12, 2019 for the technical area involving algorithm development to assign confidence scores matching expert assessments.

Notice text

3 versions

Update #3 · Latest ·

The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals for the development and deployment of automated tools to assign Confidence Scores (CSs) to different kinds of Social and Behavioral Science (SBS) research results and claims. CSs are quantitative measures that should enable someone to understand the degree to which a particular claim or result is likely to be reproducible and/or replicable. These tools will assign explainable CSs with a reliability that is equal to, or better than, the best current human expert methods, and will enable a consumer of SBS research to quickly calibrate the level of confidence in the Reproducibility and Replicability (R & R) of a given SBS result or claim. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice..

Update #2 ·

The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals for the development and deployment of automated tools to assign Confidence Scores (CSs) to different kinds of Social and Behavioral Science (SBS) research results and claims. CSs are quantitative measures that should enable someone to understand the degree to which a particular claim or result is likely to be reproducible and/or replicable. These tools will assign explainable CSs with a reliability that is equal to, or better than, the best current human expert methods, and will enable a consumer of SBS research to quickly calibrate the level of confidence in the Reproducibility and Replicability (R & R) of a given SBS result or claim. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice..

Update #1 ·

Added: Jun 12, 2018 1:10 pm The Defense Sciences Office (DSO) at the Defense Advanced Research Projects Agency (DARPA) is soliciting innovative research proposals for the development and deployment of automated tools to assign Confidence Scores (CSs) to different kinds of Social and Behavioral Science (SBS) research results and claims. CSs are quantitative measures that should enable someone to understand the degree to which a particular claim or result is likely to be reproducible and/or replicable. These tools will assign explainable CSs with a reliability that is equal to, or better than, the best current human expert methods, and will enable a consumer of SBS research to quickly calibrate the level of confidence in the Reproducibility and Replicability (R&R) of a given SBS result or claim. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.

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