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CANSSI/SSC Cross-Country Tour | The Development of a COVID-19 Self-Assessment Risk Model to Mitigate Case Importation Risk in Yukon

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

Dr. Lisa Kanary, Instructor, Mathematics & Statistics, School of Business and Leadership, Yukon University Hosted by Dr. Joanna Mills Flemming, CANSSI Associate Director, Atlantic Region NEW DATE! Friday, December 16 | 12:00–12:45 p.m. MT Yukon University, Whitehorse, Yukon On Zoom   WATCH THE VIDEO RECORDING   Presentation Abstract: Most travel restrictions imposed during the COVID-19 […]

Cultural Humility: A Framework to Mitigate Personal Bias & Techniques to Build Greater Capacity

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

As part of its Equity, Diversity, and Inclusion (EDI) program, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community, often in partnership with Academic Impressions. We invite you to join us for this two-hour online workshop led by Sana Loue of Case Western Reserve University School of Medicine.   WATCH THE […]

van Eeden Seminar: The Four Pillars of Machine Learning

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

The van Eeden seminar is presented each year by the University of British Columbia’s Department of Statistics. The invited speaker is a prominent statistician chosen by the department’s graduate students. This year’s vitual seminar is sponsored by CANSSI and features Dr. Kevin Patrick Murphy, a research scientist at Google. For more information and to register […]

Florence Nightingale Day 2023

Simon Fraser University (Halpern Centre) Burnaby, British Columbia, Canada

Florence Nightingale is widely known as the founder of modern nursing, but she was also a ground-breaking statistician who is credited with inventing the pie chart. Florence Nightingale Day is an international celebration that invites high school students, especially those from traditionally under-represented groups, to follow in her footsteps by exploring studies and careers in […]

Best Practice in Ethical Data Analysis

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

This virtual workshop, which is presented by the Centre de recherches mathématiques (CRM) StatLab and supported by CANSSI, will showcase best practices in thoughtful and ethical handling of demographic data. A particular focus will be common questions that arise in the analysis of variables on race, ethnicity, sexuality, and disability. These include the challenges presented […]

Microaggressions: They Aren’t Being Too Sensitive

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

As part of its Equity, Diversity, and Inclusion (EDI) program, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community, often in partnership with Academic Impressions (opens in a new tab). We invite you to join us for this two-hour online workshop led by Sandra Miles of Academic Impressions.   WATCH THE […]

Eric Joel Tchetgen Tchetgen Will Speak at the 2023 Distinguished Lecture Series in Statistical Sciences

CANSSI and CANSSI Ontario are excited to present Eric Joel Tchetgen Tchetgen as the guest speaker for this year’s Distinguished Lecture Series in Statistical Sciences at the University of Toronto. Dr. Tchetgen Tchetgen will present two talks: An (un)Holy Union: Causal Inference, Semiparametric Statistics and Machine Learning in the Age of Data Science (May 9, […]

Mentoring 101: How to Get What You Need to Thrive in the Academy

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

As part of its Equity, Diversity, and Inclusion (EDI) program, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community. We invite you to join us for this two-hour online workshop developed by the National Center for Faculty Development & Diversity and led by Dr. Joy Gaston Gayles, professor of higher education […]

2023 CANSSI Town Hall

Queen's University 127 Jeffery Hall, 48 University Avenue, Queen's University, Kingston, Ontario, Canada

WATCH THE VIDEO RECORDING DOWNLOAD THE TOWN HALL PRESENTATION SLIDES (PDF) If you’ve been meaning to explore what CANSSI can offer you, the 2023 CANSSI Town Hall is for you. The Town Hall will take place on Friday, June 16, from 10:00 to 11:00 a.m. PT on Zoom. It is open to all members of […]

IASE 2023: Fostering Learning of Statistics and Data Science

University of Toronto 700 University Ave, Toronto, Ontario, Canada

Are you interested in “Fostering Learning of Statistics and Data Science”? That’s the theme of IASE 2023, a satellite conference being organized by the International Association for Statistical Education (IASE) and the International Association for Statistical Computing (IASC) as a lead-up to the 64th World Statistics Congress in Ottawa. CANSSI is a co-sponsor of the […]

23rd Meeting of New Researchers in Statistics and Probability

University of Toronto 700 University Ave, Toronto, Ontario, Canada

The 23rd Meeting of New Researchers in Statistics and Probability will take place from August 2 to 5, 2023, at the University of Toronto. It is co-sponsored by the Institute of Mathematical Statistics (IMS), the National Science Foundation (NSF), the University of Toronto, and the Canadian Statistical Sciences Institute (CANSSI). The conference is designed to […]

2nd CANSSI-NISS Health Data Science Workshop

University of Waterloo 200 Ring Rd, Waterloo, Ontario, Canada

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 […]