Requires the Administrator of the Federal Aviation Administration to leverage big data analytics and machine learning in reviewing requests for certificates of waiver under section 107.200 of title 14, Code of Federal Regulations.Requires the Administrator of the Federal Aviation Administration to improve waiver request processes by leveraging big data analytics and machine learning.Adopts a performance- and risk-based approach for waiver requests. Prohibits open-ended prompts unless necessary. Utilizes big data and machine learning for waiver data. Publishes waivers online, protecting proprietary info. Expedites similar waiver modifications and renewals. Considers property access control.
Requires the Administrator of the Federal Aviation Administration to leverage big data analytics and machine learning in reviewing requests for certificates of waiver under section 107.200 of title 14, Code of Federal Regulations.Adopts a performance- and risk-based approach for reviewing waiver requests under section 107.200 of title 14, CFR.
Improves the waiver application process and prohibits the use of open-ended descriptive prompts, except for unusual or irregular operations.
Leverages data, including big data analytics and machine learning, from previous waiver requests.
Requires consideration of control over access to real property within the operation area and recognizes safety enhancements from such control.
Publishes all issued certificates of waiver on the FAA website, including terms, conditions, limitations, and airspace class, while protecting proprietary information.
Allows streamlined approval for waiver applications substantially similar to previously approved ones.
Establishes an expedited review process for modifying or renewing previously issued waivers.