In an era where data-informed decision-making is becoming increasingly important in all areas of society, fostering interdisciplinary collaboration in data science has never been more crucial. Together with the National Institute of Statistical Sciences (NISS), we are proud to present the NISS-CANSSI Collaborative Data Science webinar series dedicated to showcasing data scientists and domain scientists from diverse scientific fields who collaborate to advance science. This initiative celebrates the power of collaboration, demonstrating how the fusion of data science with various disciplines can drive innovation, solve complex problems, and push the frontiers of knowledge beyond the realm of statistics.
Each session will feature two speakers: a data scientist and a subject matter expert from another domain who have successfully partnered to achieve impactful results. Through their shared experiences and insights, attendees will gain a deeper understanding of the collaborative processes that bridge gaps between different scientific landscapes. These seminars will not only highlight successful partnerships but also provide a platform for exchanging ideas, methodologies, and best practices that inspire new collaborations.
Our mission is to create a vibrant community where data-driven approaches enhance research across fields such as biology, environmental science, engineering, social sciences, and more. By showcasing real-world examples of interdisciplinary teamwork, we aim to empower scientists and data professionals alike to embark on joint ventures that harness the full potential of their combined expertise.
Join us in celebrating the transformative impact of collaboration. Whether you are a seasoned data scientist, a researcher from another discipline, or simply passionate about the possibilities that emerge when diverse minds converge, this seminar series offers invaluable opportunities to learn, connect, and innovate together.
Together, let’s bridge disciplines and unlock new horizons through the power of data-driven collaboration.
Webinar Schedule
We’ll add more event links as they become available.
March 20, 2025 | Session 1 | Claudie Beaulieu and Rebecca Killick
