CANSSI Showcase—November 19–20, 2021
Join us for the 1st Annual CANSSI Showcase, a virtual event celebrating the work of our researchers, postdocs, and students. This two-day event, running Friday, November 19 and Saturday, November 20, will be a great opportunity for you to meet the national statistical and data science community, hear about career opportunities, and learn about different ways CANSSI can support your work. This event will take place using Gather and Zoom. Find out more about registration, including signing up for a Lightning Talk or the Poster Session online.
DATE & TIME (EST / PST) – EVENT
Day 1: Friday, November 19
12:00 / 9:00 – Welcome
12:15 / 9:15 – Collaborative Research Team Presentations by Mahmoud Torabi and Changbao Wu
13:45 / 10:45 – Break
14:00 / 11:00 – CANSSI Program Overview—Meet the Directors
14:45 / 11:45 – Lightning Talks by Postdocs and Graduate Students
16:00 / 13:00 – Break
16:30 / 13:30 – EDI Townhall
Day 2: Saturday, November 20
12:00 / 9:00 – Panel Session: Innovations in Data Analytics and Data Science: What’s New at Statistics Canada?
15:00 / 12:00 – Break
15:30 / 12:30 – Lightning Talks by Postdocs and Graduate Students
16:30 / 13:30 – CRT Presentations by Tianyu Guan and Ken Peng
17:15 / 14:15 – Poster Session, Networking & Social Hour
CANSSI Distinguished Postdoctoral Program—Second Stage
In the second stage, CANSSI will solicit applications from eligible candidates for our CANSSI Distinguished Postdoctoral Fellowship. Applications will be due January 3, 2022.
Project proposals from the first stage will be posted on November 15, 2021. Mentors of successful proposals are encouraged to contact potential applicants to encourage them to apply. Applicants will provide a ranked list of 2 or 3 of the posted projects that interest them. After CANSSI adjudication of candidates, successful candidates and potential faculty mentors will have two weeks to meet and evaluate the fellowship. The offer will be fulfilled if both the mentors and the potential fellow accept. Find out more online.
CANSSI New Researcher Graduate Student Exchange Scholarship (NR-GSES)
CANSSI is introducing a program specifically for new faculty in statistical sciences (actuarial science, biostatistics, statistics, inferential data science). The CANSSI New Researcher-Graduate Student Exchange Scholarship (NR-GSES) is designed to help new researchers gain experience in mentoring graduate students by co-advising with an experienced mentor and providing enhanced research training for graduate students. The NR-GSES supports MSc and PhD students jointly advised by a junior faculty member and an experienced faculty member. The faculty can be at the same university or at different universities.
The new researcher supervisor must be within the first three years of their first academic tenure track position and have never held an individual researcher grant from NSERC, CIHR, or SSHRC. The experienced co-supervisor must have successfully graduated a PhD student and have held at least one NSERC Discovery Grant. The NR-GSES provides up to $8,000 stipend over a year. Both faculty supervisors and NR-GSES scholarship holders will participate in CANSSI-EDI.
Applications for a NR-GSES are submitted by the potential new researcher supervisor. Approval is on a rolling basis. The award is made upon submission of confirmation of student admission to the program and acceptance of the award.
Spring 2022 Townhall Event—Biases in Student Teaching Evaluations
CANSSI is collaborating with AARMS (Atlantic Association for Research in Mathematical Sciences), CRM (Le Centre de recherches mathématiques), and PIMS (Pacific Institute for Mathematical Sciences) to offer a national townhall on biases in student teaching evaluations. A presentation by Philip B. Stark (Department of Statistics, University of California Berkeley) will cover recent and past research on the systemic and severe biases in student teaching evaluations (SET) as well as issues with the use of SET in professional evaluation of faculty. The presentation will be followed by a question and answer session. We are inviting all university administrators, deans, department chairs, faculty, and students to participate.
More details will be online soon!