Breakfast and Registration
Please join us in room 213 for a full breakfast to kick off the conference.
Please join us in room 213 for a full breakfast to kick off the conference.
Artificial intelligence is reshaping research practices across disciplines, expanding the scale and complexity of the questions researchers can address. Realizing its potential responsibly, however, depends not only on computing capacity and new analytical methods, but also on research data that are high quality, well described, machine-readable and usable across systems and contexts. As research communities adapt to this changing environment, national coordination can help reduce duplication, connect complementary capabilities and provide shared foundations that individual domains should not need to develop independently. The Canadian Research Data Platform (CRDP) is intended to provide this backbone by connecting infrastructure, services and platforms across Canada’s distributed research ecosystem. National Data Spaces are central to this model, enabling communities to lead the development of the governance, standards and services required within their domains while remaining connected to a broader interoperable environment. In ocean research, this approach can support the integration and reuse of diverse data and capabilities needed to advance the responsible application of AI for understanding and predicting ocean systems.
The data foundations and governance conditions required for responsible and scalable AI in ocean science. Part one.
The data foundations and governance conditions required for responsible and scalable AI in ocean science. Part two.
AI methods and model development, with an emphasis on approaches moving toward operational or applied use. Part one.
All in-person attendees are welcome! This session will bring mentors and mentees together to build connections and make the most of their time at the workshop. Participants will explore what makes an effective mentorship relationship, including the roles of mentors and mentees and the importance of shared expectations. Through guided activities, mentor-mentee pairs will get to know one another, identify their goals for the workshop, and discuss topics, connections, and opportunities they would like to explore throughout the day. The session will also encourage participants to think about how their mentorship connection can support continued learning, professional growth, and relationship-building beyond the workshop.
AI methods and model development, with an emphasis on approaches moving toward operational or applied use. Part two.
Deployment, pipelines, tooling, and repositories — what is required to scale and sustain AI systems in real-world ocean contexts.
Offering insights and wrapping up the day of themed presentations. End of the day for virtual attendees.