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Analytics for Safety of NAS

ID: Analytics-for-Safety-of-NAS • Type: Sources Sought • Match:  90%
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Description

Posted: Dec. 19, 2024, 10:17 a.m. EST

Analytics for Safety of NAS

MARKET SURVEY/ REQUEST FOR INFORMATION

This Market Survey/Request for Information (RFI) is being issued in accordance with the Federal Aviation Administration (FAA) Acquisition Management System (AMS) Policy 3.2.1.2.1.

I. PURPOSE

This Market Survey/RFI seeks to identify existing capabilities for advanced analytics using modern Artificial Intelligence (AI) capabilities to improve aviation safety within the industry and meet the FAA's requirements for understanding underlying causal factors for top safety events in the National Airspace System (NAS).

The purpose of this Market Survey/RFI is to:

  • Inform Industry of the FAA's objectives for leveraging AI to enhance aviation safety and solicit Industry feedback.
  • Assess market interest and existing industry capabilities to provide advanced safety analytics solutions.
  • Determine the degree of customization required to integrate existing industry analytics capabilities into the FAA infrastructure.
  • Obtain feedback from Industry on risks, considerations, and other related feedback on improving aviation safety analytics.

II. CURRENT FAA SAFETY ANALYTICS SYSTEMS

Currently, the FAA has internal capabilities such as the Aviation Safety Information Analysis and Sharing (ASIAS) system and other bespoke systems. These capabilities constitute an extensive collection of connected and disconnected systems. These systems are utilized for safety information analysis and sharing across various aviation stakeholders, helping to monitor and improve safety standards within the NAS.

III. SAFETY ANALYTICS END STATE OBJECTIVES

The FAA envisions a new safety analytics system that will vastly expand and accelerate insights from current and additional sources of data and provide a comprehensive understanding of causal factors of safety events to help predict high-risk operations and environments. The end state will be built on commercially available analytics tools that are widely used by a substantial number of companies and organizations to make similar improvements to the safety of operations or to reduce mistakes in operations.

The FAA aims to:

  • Enhance predictive analytics capabilities to identify and mitigate potential safety risks proactively.
  • Leverage AI and machine learning to analyze vast amounts of safety data and derive actionable insights.
  • Integrate various data sources to provide a comprehensive view of aviation safety factors.
  • Improve the overall safety of the NAS through advanced analytics and rapid response to identified risks.

IV. CONSTRAINTS/CHALLENGES

The new safety analytics system requires integration into the existing FAA infrastructure, accounting for FAA safety, security, and integration processes. Key constraints and challenges include:

  • Data Sensitivity: Insights often come from data falling into protected categories (proprietary, PII, security-sensitive, etc.).
  • Data Variety: The data comes from various sources, is not standardized, and may have quality issues.
  • Integration: Ensuring seamless integration with existing FAA systems and compliance with all relevant regulatory and security requirements.
  • Time to Insights: Having the ability to empower users to transform data sets with minimal use of code or through derived insights.

V. REQUEST FOR CAPABILITY STATEMENT

The FAA requests the following information from interested vendors:

  • Capability Statement that demonstrates the vendor's ability and experience in implementing advanced predictive analytics and AI solutions for safety improvements.
  • Description of current solution capabilities and how they meet the FAA's end state objectives for aviation safety analytics.
  • Explanation of any required changes to vendor's solutions and the timeline to deploy these changes to meet FAA's objectives.
  • Describe vendor's ability to leverage a Commercial-off-the-Shelf (COTS) Software-as-a-Service (SaaS) / Platform-as-a-Service (PaaS) solution to satisfy the FAA's end state.
  • Detailed information on the vendor's ability to manage and analyze sensitive and varied data sources.
  • Explanation of how data is accessed by others, how data sets are integrated on vendor's platform, and how data is queried outside the application.
  • Discussion of any assumptions or constraints considered in the capability response.
  • Performance and scalability requirements supported by the system, including limitations such as the number of concurrent users and processing time for data transformations.
  • Risk mitigation approaches that the Government should consider for this effort, including any innovative methods to support an accelerated schedule to achieve the objectives.
  • Discussion of willingness to partner or work with other industry experts to enhance analysis.
  • Discussion of the most critical safety events that may be impacted by the capabilities described in the response.

VI. SUBMISSION DETAILS

Interested parties must provide their responses in writing. Responses must be no more than 15 standard 8.5 X 11 pages long, single spaced, 12-point Times New Roman, and must be in MS Word format. Please limit company background information to one page.

The FAA may request one-on-one discussions in which respondents to this Market Survey may be invited to discuss their responses in more detail. Participation, if contacted, is voluntary but would be appreciated. Proprietary or confidential information contained in the Market Survey submissions must be appropriately marked.

Responses must be submitted electronically no later than 5:00 pm EDT on July 12nd, 2024, to the Contracting Officer at SafetyDataChallenge@faa.gov.

Disclaimer:

This is a Market Survey/RFI for informational purposes. The FAA will use responses to this Market Survey/RFI, along with any other information gathered or currently available to select the participants for the Analytics for Safety of the NAS Challenge. The FAA will select Participants based on its review of the participants capabilities and their perceived benefit to NAS safety. The FAA is not seeking or accepting unsolicited proposals. The FAA may request additional information or submissions, or request discussions or in-person meetings in furtherance of the market survey/RFI. The FAA will not pay for any information received or costs incurred in preparing responses to this market survey/RFI. Any costs associated with the market survey/RFI submittal, including the initial submission and any subsequent submissions, discussions, or in-person meetings, if requested by the FAA, are solely at the interested vendor's expense.

This market survey/RFI is not a Screening Information Request (SIR), solicitation, or request for offer (SFO or RFO). No commitment or implied agreement will arise as a result of responding to the market survey/RFI. Submission to this market survey/RFI does not guarantee eligibility or impart a requirement for the market research participant to participate in or receive a SIR, SFO, RFO, or a contract. Consistent with AMS 3.2.1.2.1, the information obtained as a result of the market survey may refine a future acquisition strategy. Any future acquisition strategy may be implemented without public notice unless required by AMS.

Note: The FAR references cited in SAM.gov are not applicable to the Federal Aviation Administration (FAA) as the FAA has its own policies and guidance referenced in the Acquisition Management System (AMS).

Posted: Aug. 22, 2024, 5:13 p.m. EDT
Posted: Aug. 14, 2024, 11:54 a.m. EDT
Posted: July 3, 2024, 1:01 p.m. EDT
Posted: June 27, 2024, 7:12 a.m. EDT
Posted: June 11, 2024, 4:53 p.m. EDT
Background
This Market Survey/Request for Information (RFI) is being issued by the Federal Aviation Administration (FAA) to identify existing capabilities for advanced analytics using modern Artificial Intelligence (AI) capabilities to improve aviation safety within the industry and meet the FAA’s requirements for understanding underlying causal factors for top safety events in the National Airspace System (NAS). The purpose of this Market Survey/RFI is to inform Industry of the FAA’s objectives for leveraging AI to enhance aviation safety, assess market interest and existing industry capabilities, determine the degree of customization required to integrate existing industry analytics capabilities into the FAA infrastructure, and obtain feedback from Industry on risks, considerations, and other related feedback on improving aviation safety analytics.

Work Details
The work involves identifying existing AI and Machine Learning products and capabilities to enable more rapid and insightful analysis of existing safety data. The FAA aims to leverage AI to derive actionable safety insights without being constrained by existing systems or requirements. The effort is considered a proof of concept to understand what is possible with current technologies and to uncover valuable data insights quickly. The FAA seeks to enhance predictive analytics capabilities, leverage AI and machine learning to analyze vast amounts of safety data, integrate various data sources to provide a comprehensive view of aviation safety factors, and improve the overall safety of the NAS through advanced analytics and rapid response to identified risks.

Overview

Response Deadline
July 12, 2024, 5:00 p.m. EDT (original: July 2, 2024, 5:00 p.m. EDT) Past Due
Posted
June 11, 2024, 4:53 p.m. EDT (updated: Dec. 19, 2024, 10:17 a.m. EST)
Set Aside
None
NAICS
None
PSC
None
Place of Performance
United States
Source

Est. Level of Competition
Average
On 6/11/24 Aeronautical Center Acquisitions Division issued Sources Sought Analytics-for-Safety-of-NAS for Analytics for Safety of NAS due 7/12/24.
Primary Contact
Name
Michael Yort   Profile
Phone
None

Documents

Posted documents for Sources Sought Analytics-for-Safety-of-NAS

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Additional Details

Source Agency Hierarchy
TRANSPORTATION, DEPARTMENT OF > FEDERAL AVIATION ADMINISTRATION > 6973FK MIKE MONRONEY AERO CNTR
FPDS Organization Code
6920-00002
Source Organization Code
500025244
Last Updated
Jan. 1, 2025
Last Updated By
michael.yort@faa.gov
Archive Date
Dec. 31, 2024