CANSSI National

Overview Nowadays, statisticians and health data scientists actively work together on the frontier of biological, medical, and public health research. The transdisciplinary collaboration not only develops the modern foundations of Health Data Science but also accelerates the pace of scientific discovery and innovation. The 2nd CANSSI-NISS Health Data Science Workshop will be held on August […]

Watch the Videos This event is past, but recordings of the sessions are available online: Keynote lecture (see description below) Panel discussion (see description below) Short talks (four presenters; see descriptions below) Lightning talks (15 presenters; see descriptions below) Conclusion (including announcement of meme contest winners) Connect with the Community The CANSSI Showcase is an […]

Date: Friday, November 15, 2024 Time: 7:45 a.m.–3:30 p.m. Pacific time Location: Online Connect with the Community The CANSSI Showcase is an annual celebration of the work being done by Canadian statistical sciences researchers, postdoctoral fellows, and students—and a chance to connect with Canada’s statistical sciences community. CANSSI Showcase 2024 will be held virtually on […]

Date: Saturday, March 8, 2025 Time: 10:00 a.m.–3:35 p.m. Pacific time, followed by a social hour Location: UBC Earth Sciences Building, Room 5104, 2207 Main Mall, Vancouver, B.C. CANSSI is proud to co-sponsor the Spring 2025 UBC/SFU Joint Statistics Seminar. The UBC/SFU Joint Statistics Seminar is jointly hosted by the graduate students of the University […]

Date: Thursday, March 20, 2025 Time: 1:00–2:00 p.m. Eastern time Location: On Zoom Join Us Join us for the NISS-CANSSI Collaborative Data Science Webinar Series: Changing Climate, Changing Data—A Journey of Statisticians and Climate Scientists. This webinar features Claudie Beaulieu (University of California, Santa Cruz) and Rebecca Killick (Lancaster University), with moderation by Emily Casleton […]

Date: Thursday, April 10, 2025 Time: 1:00–2:00 p.m. Eastern time Location: On Zoom About the Presentation Join us for the second NISS-CANSSI Collaborative Data Science Webinar: Astronomy & Cosmic Emulation. This webinar explores the role of statistical modelling and computational techniques in advancing our understanding of the universe. Featuring Kelly Renee Moran (Los Alamos National […]

Florence Nightingale Day 2025 at Simon Fraser University is coming up! This one-day event is part of an international celebration that gives high school students, especially those from traditionally under-represented groups, a chance to explore educational and career opportunities in statistical sciences. It is named after Florence Nightingale, the widely known founder of modern nursing […]

Date: Thursday, May 8, 2025 Time: 1:00–2:00 p.m. Eastern time Location: On Zoom Join Us Join us for the next NISS-CANSSI Collaborative Data Science Webinar, titled “From MPEG-4 to Deep Learning: Transforming Audio-Visual Analytics for Healthcare and Beyond.” This webinar will explore the evolution of audio-visual analytics from traditional compression standards like MPEG-4 and H.264 […]

Date: Saturday, May 24, 2025 Time: All day Location: University of Saskatchewan, 105 Administration Place, Saskatoon, Sask. S7N 5A2 CANSSI is proud to be a co-sponsor of the Thirteenth Annual Canadian Statistics Student Conference (CSSC 2025). CSSC 2025 will take place at the University of Saskatchewan in Saskatoon, Saskatchewan, on Saturday, May 24, 2025, the […]

Date: Tuesday, June 10, 2025 – NEW DATE! Time: 1:00–2:00 p.m. Eastern time Location: On Zoom Join Us Join us for the next NISS-CANSSI Collaborative Data Science Webinar, titled “Data Science Techniques for Control of Assistive Devices after Neurological Injury.” Presentation Abstract Join us for an enlightening session that promises to showcase the transformative power […]

Get the big picture on what CANSSI has been—and will be—doing by attending the 2025 CANSSI Town Hall. This year's Town Hall will take place on Friday, June 13, from 10:00 to 11:00 a.m. PT, on Zoom. It is open to all members of the statistical sciences community and will feature a fast-paced overview of […]