M3 Hackathon Results and Insights Webinar
On December 18, 2024, from 10:00 AM to 11:30 AM EST (UTC-5), the organizers offered an exclusive webinar showcasing the innovative solutions developed during the Managing Maritime Movements (M3) Hackathon. Watch the Zoom Webinar by visiting the recording link and entering the passcode: W5+qnZ#@
Hosted by the University at Albany in collaboration with the Center for Accelerating Operational Efficiency (CAOE) and sponsored by the Department of Homeland Security’s Science and Technology Directorate.
- Link to Webinar Recording: https://urldefense.com/v3/__https://albany.zoom.us/rec/share/WXX9UHncibQI05fprlYA7gKs-nekGZKNiGamHhaqt66vkO39emrJiPo509cM7t-G.OUldBkiczwUkrB2x__;!!IKRxdwAv5BmarQ!eaC94WyoDFtnFzZsM3PA1d9Kc4tcyqZhBIBt4bzghPWHkl0L7fQX9f7i4Fyvk2W4u55ZgybH9RumF5o9KaeJr9yHjqg$
- Passcode: W5+qnZ#@
- Watch an overview of the M3 Hackathon with presentations from the top-performing teams on their cutting-edge small vessel route prediction models.
- Includes a Q&A session to dive deeper into the solutions and insights.
Small vessels present a significant challenge for maritime waterway management. Unlike large vessels, which have well-established trajectory forecasting models, small vessels such as sailboats, fishing vessels, and personal craft often traverse marine environments with limited traffic management capabilities. The sparse data available on small vessel trajectories has hindered the development of effective forecasting methods.
To address this challenge, the University at Albany, in collaboration with the Center for Accelerating Operational Efficiency (CAOE), hosted a global hackathon aimed at the modeling and data analysis communities. The goal was to foster the development of innovative modeling approaches to predict small vessel trajectories. Don’t miss this opportunity to explore advancements in maritime safety and efficiency from leading innovators in the field.
Contact Information
For any questions, please reach out to [email protected].
This project is supported by the U.S. Department of Homeland Security under Grant Award Number 17STQAC00001-07-00. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the U.S. Department of Homeland Security.
