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Title: Proposed Data Model and Prototype Software for Improving the Efficiency and Efficacy of the Transportation Research Board Annual Meeting Paper Peer Review Process
Accession Number: 01764117
Record Type: Component
Abstract: The Annual Meeting of the Transportation Research Board (TRB) is attended by over 13,000 participants. The core feature of the meeting are sessions devoted to the presentation of research. Research papers are submitted to TRB and assigned to TRB committees for peer review. The TRB committees are composed of approximately 25 to 35 volunteers from academia and industry. These committees review research papers and curate worthy entries into Annual Meeting sessions during the narrow time window from the paper deadline on August 1st to the posting of the preliminary Annual Meeting agenda around November 1st. For committees that receive large numbers of papers (in the 50 to 150 range), this is a difficult task. The proposition put forward in this paper is that well-organized data and proactive analysis can improve the efficiency and fairness of the paper peer review process. A proposed data model and prototype software is presented and discussed. A demonstration of the software is included.
Supplemental Notes: This paper was sponsored by TRB committee AED50 Standing Committee on Artificial Intelligence and Advanced Computing Applications.
Report/Paper Numbers: TRBAM-21-00655
Language: English
Corporate Authors: Transportation Research BoardAuthors: Ory, DavidWang, SijiaShivaraman, GayathriPagination: 20p
Publication Date: 2021
Conference:
Transportation Research Board 100th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Data and Information Technology; Research; Transportation (General)
Source Data: Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00655
Files: TRIS, TRB, ATRI
Created Date: Dec 23 2020 11:20AM
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