Participants can submit the paper to the Manuscript Central of Transportation Science and select "The First INFORMS TSL Data-Driven Research Challenge" type and "Emerging and Cross-functional Topics" area.
The extended submission deadline is April 1st, 2025 (11:59 pm anywhere on Earth).
Background:
The INFORMS Transportation Science and Logistics Society (TSL) and Meituan, a platform offering location-based consumer products and services including entertainment, dining, delivery, travel, and more, are partnering to provide researchers and practitioners worldwide with access to Meituan's operational-level food delivery data in the first INFORMS TSL Data-Driven Research Challenge. This initiative aims to foster data-driven research on real-world challenges. Participants are expected to develop data-driven optimization models using the real data provided by Meituan, to address some of the suggested questions or to explore questions of their interest.
The selected finalists will be invited for a Fast-Track submission to a Special Issue of Transportation Science on "Machine Learning, Analytics, and Optimization in Home Delivery Operations." Fast Track means that the paper will go through one round of review before making an approaching final decision, including a minor revision, conditional acceptance, rejection, or a recommendation for submission to general issues.
Links:
Transportation Science CFP: https://pubsonline.informs.org/page/trsc/calls-for-papers
INFORMS TSL: https://connect.informs.org/tsl/tslresources/datachallenge
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Lei Zhao
Professor
Tsinghua University
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