Emerging Data Science Methodology Development

The contract seeks the development of innovative data science methodologies tailored for transportation systems, with a focus on predictive maintenance, anomaly detection in infrastructure, and real-time decision support using data from IoT devices and sensors. The work requires advanced analytical techniques to process and interpret large-scale, high-velocity sensor data, enabling proactive identification of failures, irregularities in structural health, and dynamic response capabilities for transportation operations. Applicants must demonstrate expertise in machine learning, signal processing, and scalable data pipelines designed for deployment in complex, real-world transit environments. This subcontract is issued under NAICS code 541719 for research and development in the physical, engineering, and life sciences, with a response deadline of August 7, 2026. The contracting entity is the Department of Transportation through its 693JJ3 Acquisition and Grants Management office, and the performance location is not specified. Participants are expected to deliver novel, practical algorithms and frameworks that can be integrated into existing transportation monitoring systems, with emphasis on scalability, accuracy, and operational readiness. The initiative aims to modernize infrastructure management through cutting-edge data science, targeting outcomes that improve safety, efficiency, and resilience across transportation networks.