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 […]

Date: Thursday, October 9, 2025 Time: 1:00–2:00 p.m. Eastern time Location: On Zoom Join Us Join us for “Working with Physicists on Quantum ML” at the next NISS-CANSSI Collaborative Data Science Webinar. Presentation Abstract The National Institute of Statistical Sciences (NISS) and the Canadian Statistical Sciences Institute (CANSSI) are pleased to present a collaborative webinar […]

Date: Thursday, November 20, 2025 Time: 1:00–2:00 p.m. Eastern time Location: On Zoom Join Us Join us for “Deep Learning with ECG Data in the ICU: From Modelling to Actionable AI” at the next NISS-CANSSI Collaborative Data Science Webinar. Presentation Abstract This session will examine how deep learning methods can be leveraged to analyze electrocardiogram […]