2nd CANSSI-NISS Health Data Science Workshop

The National Insitute of Statistical Sciences (NISS) works with its affiliate institutions in academia, government and industry to host and sponsor various conferences, workshops, webinars, debates and other events of special interest to the statistical science and data science communities.Subscribe to our Newsletter...Upcoming Events...Contribute to NISS

NATIONAL INSTITUTE OF STATISTICAL SCIENCES

Workshop features 2 keynote speakers, 3 invited sessions, poster competition for students and new researchers, and banquet/dinner on Day 1.

Davis Centre (DC)

<aside>Dates: Thursday-Friday, August 3-4, 2023</aside><h3>F﻿ull details available on the event page here: <a href="https://www.niss.org/events/2nd-canssi-niss-health-data-science-workshop" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://www.niss.org/events/2nd-canssi-niss-health-data-science-workshop</a></h3><h2>Overview</h2>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 3-4, 2023. The two-day workshop brings statisticians and health data scientists from the U.S. and Canada together to explore current approaches and new challenges for learning Big Data in Health Data Science. The two-day workshop consists of two keynote presentations, three invited sessions, a poster competition for students and new researchers, and a banquet/dinner on Day 1.The themed invited sessions will explore current approaches and new challenges in:<ul><li>Statistical Methods for Precision Health </li><li>Causal Inference for Big Health Data</li><li>AI and Health Data Science</li></ul><h2>Registration</h2>F﻿ull Registration Price: ~$270 CAD/$200 USDDiscounted registration fees for this workshop will apply to the following registrants after entered Promo Code provided by NISS Organizers. Please Contact Organizers through Eventbrite to receive your promo code for the discount.<ul><li>Conference Speakers</li><li>CANSSI National Institutional Members </li><li>NISS Affiliate Members </li><li>Students currently enrolled at a university: </li></ul><ul><ul><li>Note - discounted tickets are hidden until promo code is added!</li></ul></ul><h3>NISS Affiliates - this event is Affiliate Award Fund Eligible </h3>Please Note: NISS affiliates can use their Affiliate Award Funds towards registration, please contact your NISS liaison (Check the <a href="https://www.niss.org/affiliates-list" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">List of NISS Affiliates</a>) to learn more about these funds. Registrants from NISS affiliated institutions are eligible for reimbursement after the workshop.<h2>Promo Codes: </h2>Please contact organizer through Eventbrite or email mglenn@niss.org to receive your Promo Code for discounted tickets for CANSSI Members, NISS Affiliates, Students and Speakers. Please do not pay full price for these tickets if you belong in any of the listed categories.To receive your promo code, send your First Name, Last Name, Email address (institutional/university), Organization/University/Institution, Job Title/Occupation, and the Ticket you are purchasing.

<h2>Invited Sessions</h2>Each session 2 hours (120 minutes = four 25-min talks and 20-min Q&A)<h3>Session 1: Statistical Methods for Precision Health </h3>Michael Wallace, University of WaterlooJeremy Taylor, University of MichiganEleanor Pullenayegum, U Toronto, Hospital for Sick ChildrenRob Deardon, University of Calgary <h3>Session 2: Causal Inference for Big Health Data </h3>Debashis Ghosh, Colorado School of Public HealthLan Wen, University of WaterlooShu Yang, North Carolina State UniversityMirielle Schnizer and Cong Jiang, Université de Montréal<h3>Session 3: AI and Health Data Science </h3>Ali Ghodsi, University of WaterlooQi Long, University of PennsylvaniaRob Strawderman, University of RochesterGrace Yi, Western U, Ontario <h3>Organizing Committee: </h3>James Rosenberger, NISS / Penn State UniversityLingzhou Xue, NISS / Penn State UniversityYeying Zhu, University of WaterlooJoel Dubin, University of Waterloo