This Government Contract opportunity from Nuclear Regulatory Commission was posted on September 26, 2023. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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R--HOW to NEUTRALIZE EFFECT of COGNITIVE BIASES on REGULATORY SAFETY EVALUATION

Awarded

31310023R0068Federal

Submission Closed09/26/2023, 12:00:00 AM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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AI Contract Overview

The Nuclear Regulatory Commission has issued a contract focused on neutralizing the impact of cognitive biases within regulatory safety evaluations to ensure performance-based, risk-informed conclusions are reached consistently across different designs and reviewers. While the research is intended for broad application in nuclear safety, there is a specific emphasis on safety-related digital automation and its interactions with human environments. The ultimate goal is to establish a consistently implementable capability that ensures correct safety conclusions are reached regardless of the evaluator. The scope of work requires the development of a technical basis for practical tools, methods, and guidance, which must be validated through a pilot program. This initiative includes a comprehensive transformation plan to update internal processes, procedures, and guidance documents, as well as a strategy to enhance the capabilities of licensing reviewers. Key deliverables include the establishment of these practical approaches, a pilot-scale demonstration of their effectiveness, and the documented building of staff capability.

General Info

Agency

Nuclear Regulatory Commission

Contract Value

$149,978

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

MD, USA

Set-Aside

NONE

Awardee

GEORGE MASON UNIVERSITY

Award Issued Date

09/26/2023, 12:00:00 AM UTC

Documents

No documents available

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Timeline

1 update

PhaseAwarded

PostedMay 9

Presolicitation

Type ChangedJun 2

Presolicitation → Solicitation

Notice updatedJun 15

The notice title changed.

AwardedSep 26

Contract was awarded

Submission Closed

09/26/2023, 12:00:00 AM UTC

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Organization & Contact Information

AgencyNuclear Regulatory Commission

Contacts1 person available

OfficeROCKVILLE, MD, 20855, USA

Organization / AgencyNuclear Regulatory Commission

Office AddressROCKVILLE, MD, 20855, USA

Contacts

Jeffrey R. Mitchell

contact@example.gov

+1 (555) 000-0000

Full Description

Title: How to Neutralize Effect of Cognitive Biases on Regulatory Safety Evaluation. This project aims to enable performance-based risk-informed regulatory safety evaluation without letting evaluators cognitive biases influence the safety conclusion. Although the result of this research is expected to be useful broadly in nuclear safety, safety-related digital automation and its interactions with its environment (esp. humans) are emerging as the objects of increasing concern. NRC expects a demonstrated consistently implementable capability to neutralize cognitive biases in performance-based risk-informed licensing reviews to the extent necessary for reaching correct safety conclusions across different types of designs and safety functions and with consistency across reviewers. Ideally, the solution should be applicable to all kinds of licensing reviews for safety evaluation. The scope includes a comprehensive plan for transformation from the current state to the desired state, demonstrated (through a pilot) to be implementable. It includes plans for revisions and additions to the relevant guidance documents and internal processes and procedures and transformation of the capabilities of licensing reviewers. 1) Establish the technical basis to develop practical approaches (e.g., guidance, methods, or tools) for neutralizing the effect of cognitive biases on regulatory safety evaluation - validated at a pilot scale. 2) Demonstrate, at a pilot scale, that the practical approaches can be implemented effectively. 3) Build staff capability - demonstrated at a pilot scale.