Inaugural

CANSSI PRAIRIES SUMMIT

May 24-25 | University of Manitoba

Join us in-person or online for a workshop, invited talks, panel discussions & networking

About the CANSSI Prairies Summit Event

This 2-day event marks the launch of the Canadian Statistical Sciences Institute’s fourth regional centre, CANSSI Prairies (covering Manitoba, Saskatchewan, Northwest Territories and Nunavut). Day 1 of the Summit consists of an afternoon workshop and a virtual student poster session. Day 2 features a full day of activities including a keynote address, two panel discussions, invited talks, and an in-person student poster session.

COMPLETE INFORMATION AND ACCESS TO TICKETS CAN BE FOUND AT THE CANSSI EVENT WEBPAGE:

CANSSI PRAIRIES SUMMIT WEBPAGE

What is CANSSI?

Launched in November 2012, the Canadian Statistical Sciences Institute (CANSSI) is a national virtual institute offering the leadership and infrastructure necessary to increase and further develop statistical sciences research in Canada and promote the discipline. Building on the international stature of the Canadian statistical community, CANSSI seeks to develop all areas of the statistical sciences, including interdisciplinary research where statistical innovation is essential to the development of other disciplines. Through national networks of researchers, CANSSI will tackle the big research questions in statistics of importance to science and the public interest, and will establish links with other disciplines and organizations that are heavy users and producers of data.

SUMMIT SCHEDULE

DAY 1 | Tuesday, May 24

1-4 p.m. CDT | WORKSHOP – Statistical Language Modelling with R

Dr. Dave Campbell, Carleton University & Bank of Canada

ATTEND IN PERSON or ONLINE

Senate Chamber, E3-262 EITC, Fort Garry Campus, University of Manitoba OR via Zoom (link distributed after registration)

Workshop Description

Analysis of numeric and categorical data has unlocked incredible insights over the past century. However, tools for these data types are not amenable to the contents of legal documents, news briefings, emails, product descriptions, or social media posts. Text data requires a different set of tools to extract descriptive insights and test hypotheses. This workshop will use R and Tidyverse tools to showcase statistical language modelling tools through hands-on tutorials outlining common use cases. Extensions and more complex modelling approaches will be outlined along with their costs, risks, and potentially more meaningful insights. The first half of the workshop will focus on sentiment analysis; producing descriptive statistics and performing hypothesis tests. The second half will focus on clustering documents. Bring a computer with RStudio (version >2021.09.0) and R (version >4.1) installed and be prepared to run the analysis live during the workshop. Code and datasets will be provided for the hands-on workshop.

Prerequisite: Familiarity with Base R and/or Tidyverse

About Dr. Dave Campbell

Dr. Dave Campbell is computational statistics methodologist with a penchant for collaboration and a strong interest in ensuring student employability. He is a full Professor in the School of Mathematics and Statistics and the School of Computer Science at Carleton University and also the Assistant Director of Data Science Applications at the Bank of Canada.

Before moving to Ottawa in 2019, Dave was an Associate Professor at Simon Fraser University in the Department of Statistics and Actuarial Science, where he led the creation of their BSc in Data Science. He was the inaugural President of the Data Science and Analytics Section of the Statistical Society of Canada and a co-organizer of the Vancouver Learn Data Science Meetup (>5000 members).

Dr. Campbell researches inferential algorithms at the intersections of statistics with machine learning, computing, and applied mathematics to solve problems in forensic science, environmental toxicology, paleo-climatology, psychology, economics, and more. He has co-authored discussion papers in Bayesian Analysis and the Journal of the Royal Statistical Society (series B) and been awarded over $3.5 million in research grants. His recent projects include identifying orcas from underwater acoustic hydrophones and predicting when they will cross into shipping lanes (funded by the Department of Fisheries and Oceans), improving uncertainty quantification methods for nuclear magnetic resonance (funded by the National Research Council of Canada), and developing inferential statistical language processing tools for quantifying covariate effects in language. At Carleton he supervises a team of grad students and post-doctoral fellows. At the Bank of Canada he is often hiring new recruits with strong computing and statistics skills. Find him on LinkedIn.

4-5 p.m. CDT | VIRTUAL STUDENT POSTER SESSION – Research innovations in Statistics and Data Science

Registration Deadline May 13, 2022

As part of the CANSSI Prairies Summit on May 24–25, the CANSSI Prairies Regional Centre is holding a Student Poster Competition. The competition is open to undergraduate and graduate students at all universities in Manitoba and Saskatchewan. We invite submissions about methodological and applied research in statistical and data sciences from all disciplines. Cash prizes will be awarded for top posters.

You have a choice of participating in either a virtual or an in-person poster session. Note that the in-person poster session will be on Day 2 (May 25, 2022)

Download a copy of the competition instructions/guidelines here: http://www.canssi.ca/wp-content/uploads/2022/05/Poster-Competition-Instructions.png

DAY 2 | Wednesday, May 25

8-9 a.m. CDT | BREAKFAST

9-10 a.m. CDT | WELCOME AND OPENING TALKS (CONCURRENT)

Welcome message
Dr. Donald Estep, Director, CANSSI
Dr. Brian Mark, Dean, Faculty of Science, University of Manitoba
Dr. Liqun Wang, Head, Department of Statistics, University of Manitoba
Dr. Lisa Lix, Professor and Associate Head, Department of Community Health Sciences & Director, Data Science Platform George &Fay Yee Centre for Healthcare Innovations, University of Manitoba
Additional speakers to be announced

10-11 a.m. CDT | KEYNOTE ADDRESS – Data Science, Statistics and Health, with a Focus on Statistical Learning and Sparsity

Dr. Robert Tibshirani, Stanford University

ATTEND IN PERSON at Basic Medical Sciences Building, Theatre-A (Frederic Gaspard Room) Bannatyne Campus, University of Manitoba

ATTEND ONLINE on Zoom (link distributed after registration)

11-11:30 a.m. CDT | COFFEE BREAK

11:30 a.m.-12:30 p.m. CDT | PANEL DISCUSSION – The Role of CANSSI Prairies in Diversifying Statistics and Data Science

Moderator: Dr. Lisa Lix, University of Manitoba
Dr. Jennifer Bodnarchuk, Senior Data Scientist, Data and Applications Division, Innovation and Technology Department, City of Winnipeg
Ms. Parisa Azimaee, Data Scientist II, Advanced Analytics, The Wawanesa Mutual Insurance Company
Ms. Kristine Kroeker, Data Manager, Synthesis Health
Mr. Justin Dyck, Public Health Officer, Epidemiologist I, Canadian Public Health Service, Public Health Agency of Canada

12:30 p.m.-1:30 p.m. CDT | LUNCH BREAK

1:30 p.m.-2:30 p.m. CDT | STUDENTS AND POSTDOCS PANEL DISCUSSION – What Kinds of Training Do Students in Statistics and Data Science Need?

Moderator: Dr. Robert Tibshirani, Stanford University
Dr. Max Turgeon, Assistant Professor of Statistics, Department of Statistics, University of Manitoba
Mr. Olawale Ayilara, PhD student, Department of Community Health Sciences, University of Manitoba
Dr. Gyanendra Pokharel, Assistant Professor of Statistics, Department of Mathematics and Statistics, University of Winnipeg
Mrs. Tingxuan Wu, PhD student, Department of Mathematics and Statistics, University of Saskatchewan

2:30 p.m.-3:30 p.m. CDT | OVERVIEW TALK – How and Why Quantitative Psychologists Collaborate with Health/Behavioural Scientists

Dr. Sunmee Kim, Department of Psychology, University of Manitoba

3:30 p.m.-3:45 p.m. CDT | CLOSING REMARKS

4 p.m.-5:30 p.m. CDT | RECEPTION

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1 p.m.-5:30 p.m. CDT | IN-PERSON STUDENT POSTER SESSION

Registration Deadline May 13, 2022

You have a choice of participating in either a virtual or an in-person poster session. Note that the virtual poster session will be on Day 1 (May 24, 2022)

Download a copy of the competition instructions/guidelines here: http://www.canssi.ca/wp-content/uploads/2022/05/Poster-Competition-Instructions.png

Inaugural CANSSI Prairies Summit Event | May 24-25, 2022 | University of Manitoba

To attend this event in-person or virtually you must register before May 24, 2022.

Registration fees are as follow:

DAY 1 (SINGLE DAY) WORKSHOP – CA$50.00
DAY 1 (SINGLE DAY) WORKSHOP (Students) – CA$30.00
TWO DAY TICKET (Students) – CA$70.00
TWO DAY TICKET – CA$125.00

Registration and fees can be accessed on the CANSSI Event Page linked below

VANSSI Prairies Summit Registration & Tickets