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DTSTART;TZID=America/Halifax:20240927T120000
DTEND;TZID=America/Halifax:20240927T130000
DTSTAMP:20260504T205753
CREATED:20240919T161147Z
LAST-MODIFIED:20240923T160705Z
UID:26191-1727438400-1727442000@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: What I’m Doing As a Grad Student
DESCRIPTION:Date: Friday\, September 27\, 2024\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: Chase Building Room 319 (3rd Floor)\, 6297 Catine Way\, Department of Mathematics and Statistics\, Dalhousie University\, Halifax \nWhat is it like to do research as a grad student? In the kick-off to CANSSI Atlantic’s Atlantic Canada Data Science Tour\, three master’s students and one PhD student in statistics at Dalhousie University will talk about the path that led them to graduate studies in statistics and the research they are doing. The host will be Joanna Mills Flemming\, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic. \nWe invite you to join us in person or online! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nPresenters\n\n  \n“Spatiotemporal Modelling of Lobster Abundance”\nJoseph Barss\, MSc student in statistics\, co-supervised by Professors Joanna Mills Flemming and Theo Michelot \n“Statistics and Fish: How Our Expertise Can Benefit Ecology and Fisheries Science”\nRaphaël McDonald\, PhD student in statistics\, co-supervised by Professor Joanna Mills Flemming and David Keith (Fisheries and Oceans Canada) \n“Event-based Validation Metrics for Hydrodynamic Models”\nEthan O’Connell\, MSc student in statistics\, supervised by Professor Michael Dowd \nFatma Sarhan\, MSc student in statistics\, supervised by Professor Orla Murphy
URL:https://canssi.ca/events/atlantic-tour-grad-students/
LOCATION:Dalhousie University\, Chase Building Room 319 (3rd Floor)\, 6297 Catine Way\, Halifax\, Nova Scotia\, B3H 4R2\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Atlantic-Tour-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240910T100000
DTEND;TZID=America/Toronto:20240910T170000
DTSTAMP:20260504T205753
CREATED:20240619T182356Z
LAST-MODIFIED:20240819T213822Z
UID:25722-1725962400-1725987600@canssi.ca
SUMMARY:CANSSI Quebec’s Postdoc Day 2024
DESCRIPTION:Join Us\nOn September 10\, CANSSI Quebec will host Postdoc Day 2024 at Concordia University. It’s a chance for the entire statistical sciences community to get to know Quebec-based postdoctoral fellows doing statistics-centred research. The event will feature research presentations by postdocs from across the province and will conclude with a reception. \nWe hope you’ll be able to join us. \nSee a blog post about last year’s Postdoc Day (includes presentation abstracts and YouTube recording). \nEvent Details and Registration\nDate: Tuesday\, September 10\, 2024\nLocation: Concordia University\, 1400 De Maisonneuve W\, Montreal\, LB 921.04 (J.W. McConnell Building) \nREGISTER ON EVENTBRITE \nSchedule\nThe event will take place in the Conference Room of the Department of Mathematics and Statistics of Concordia University (LB 921.04). \n9:45 a.m. | Welcoming Remarks \n10:00 a.m. | Presentation 1 | Rishikesh Yadav (HEC Montréal and McGill University) | Sparse Spatiotemporal Dynamic Generalized Linear Models for Inference and Prediction of Bike Counts \n10:45 a.m. | Presentation 2 | Lara Malayeff (McGill University) | An Adaptive Enrichment Design Using Bayesian Model Averaging for Selection and Threshold-identification of Tailoring Variables \n11:30 a.m. | Presentation 3 | Sébastien Jessup (Concordia University) | Flexible Extreme Thresholds Through Generalised Bayesian Model Averaging \n12:15 p.m. | Lunch Break \n1:15 p.m. | Presentation 4 | Arthur Chatton (Université de Montréal) | What If We Had Built a Prediction Model with a Survival Super Learner Instead of a Cox Model 10 Years Ago? \n2:00 p.m. | Presentation 5 | Chi-Kuang Yeh (University of Waterloo and McGill University) | Positive and Unlabeled Data: Model\, Estimation\, Inference\, and Classification \n2:45 p.m. | Presentation 6 | Dante Mata (Université du Québec à Montréal) | Title to come \n3:30 p.m. | Presentation 7 | Marie Michaelides (Concordia University) | Bayesian Time Varying Conditional Copula Models for Spatio-Temporal Dependence in Crop Yield Data \n4:15 p.m. | Reception
URL:https://canssi.ca/events/canssi-quebecs-postdoc-day-2024/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:CANSSI Quebec
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Postdoc-Day-2024-for-newsletter-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240708T083000
DTEND;TZID=America/Vancouver:20240710T130000
DTSTAMP:20260504T205753
CREATED:20240319T010916Z
LAST-MODIFIED:20240614T162441Z
UID:25123-1720427400-1720616400@canssi.ca
SUMMARY:CANSSI-CRT Workshop on Modern Methods in Survey Sampling
DESCRIPTION:About This Event\n\n\n\n\n\n\nComplex surveys play an important role in providing information for policy makers and the general public as well as many scientific areas\, such as public health and social science research. The objective of this workshop is to take stock of new developments in the field of survey data\, to bring together some of the most active researchers in the field\, and to identify the current challenges. The workshop is the final activity of a three-year Collaborative Research Team project funded by the Canadian Statistical Sciences Institute. The project is titled Modern Methods in Survey Sampling. The workshop will cover a range of topics\, including \n\nMachine learning methods\nData integration techniques\nHigh-dimensional data\nSmall area estimation\n\nFor more information\, please contact David Haziza at dhaziza@uottawa.ca. \n\n\n\n\nRegistration\nThis three-day event will take place at the University of Ottawa in Ottawa\, Ontario\, Canada. Registration for the event is C$250 and includes the cost of all lunches and coffee breaks. \nA limited number of no-cost guest passes are available for graduate students with limited funding. Please contact David Haziza at dhaziza@uottawa.ca for details. \nREGISTER ON EVENTBRITE \n\n\n\n\nLocation\nSITE Building (STEH0104)\nUniversity of Ottawa\n800 King Edward Avenue\nOttawa\, Ontario \n\n\n\n\nAccommodations\nResidence rooms for graduate students: The organizers have arranged free accommodation for graduate students in the University of Ottawa’s Rideau Residence at 290 Rideau Street. \nThe residence rooms have two double beds and can accommodate up to four people. They come with a private bathroom\, a mini-fridge and microwave\, and air conditioning. \nIf you would like to reserve a residence room\, please contact David Haziza at dhaziza@uottawa.ca. \nHotel accommodations: We have reserved a block of rooms at the Novotel Ottawa City Centre (Novotel Ottawa) at a reduced rate. The reduced rate is 175 Canadian dollars per night + taxes.  \nYou can make a reservation using three different modes (see below). What’s important is that\, regardless of the mode you choose\, you need to use the following code to get the reduced price: 1265702 \nOption 1: You can reserve a room by email. Please write to novotelottawa@novotelottawa.com and mention the code. \nOption 2: You can reserve by phone at 001-613-230-3033\, but don’t forget to mention the code. \nOption 3: You can use the following link  https://book.passkey.com/e/50793164. When making the reservation using this link\, please select “attendee” to continue. \nProgram\nMonday\, July 8\, 2024\n8:15 – 8:45 Registration \n8:45 – 9:00 Introductory remarks \nChair: David Haziza \n9:00 – 9:40 Fitting Classification Trees to Complex Survey Data | Jean Opsomer\, WESTAT \n9:40 – 10:20 Bayesian Tree Models for Data from a Complex Design | Daniell Toth\, U.S. Bureau of Labor Statistics) \n10:20 – 10:50 Coffee break | Session in honour of J.N.K. Rao \n10:50 – 11:20 Permutation Tests Under a Rotating Sampling Plan With Clustered Data | Jiahua Chen\, University of British Columbia \n11:20 – 11:50 Optimal Predictors of General Small Area Parameters Under an Informative Sample Design | Isabel Molina\, Universidad Complutense Madrid \n11:50 – 12:20 Bayesian Empirical Likelihood Methods for Complex Survey Data | Changbao Wu\, University of Waterloo \n12:30 – 14:00 Lunch \nChair: Changbao Wu \n14:00 – 14:40 Random Forests and Mixed Effects Random Forests for Small Area Estimation of General Parameters | Nikos Tzavidis\, University of Southampton \n14:40 – 15:10 Use of Random Forests in Small Area Estimation | Kevin Bosa\, Statistics Canada \n15:10 – 15:40 Coffee break \n15:40 – 16:20 Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling | Jae-Kwang Kim\, Iowa State University \n16:20 – 17:00 Variance Estimation for Survey Estimators Based on Statistical Learning Models| Mehdi Dagdoug\, McGill University \n17:00 – 17:30 Small Area Estimation with Random Forests and the LASSO | Victoire Michal\, McGill University \nTuesday\, July 9\, 2024\nChair: Changbao Wu \n9:10 – 9:50 Weight Smoothing via Design Modeling in Complex Surveys | F. Jay Breidt\, NORC at the University of Chicago \n9:50 – 10:30 Optimal Transport Methods in Survey Sampling | Yves Tillé\, Université de Neuchâtel \n10:30 – 11:00 Coffee break \n11:00 – 11:40 Combining Probability and Non-probability Samples Using Semi-parametric Quantile Regression and a Non-parametric Estimator of the Participation Probability | Emily Berg\, Iowa State University \n11:40 – 12:20 Some New Developments on Likelihood Approaches to Estimation of Participation Probabilities for Non-probability Samples | Jean-François Beaumont\, Statistics Canada \n12:30 – 14:00 Lunch \nChair: David Haziza \n14:00 – 14:40 Statistical Methods for Sampling Cross-classified Populations Under Constraints | Louis-Paul Rivest\, Université Laval \n14:40 – 15:10 Logistic Regression on Linked Data from a Secondary Analyst Perspective | Goldwyn Millar\, Statistics Canada \n15:10 – 15:40 Coffee break \n15:40 – 16:20 Design-based Conformal Prediction for Survey Sampling | Jerzy Wieczorek\, Colby College \n16:20 – 17:00 Improving Estimates from the Survey on Household Income and Wealth Using Administrative Data with Measurement Error via Structural Equation Models | Giovanna Ranalli\, Università degli Studi di Perugia \n17:00 – 17:30 Inference from Nonrandom Samples Using Bayesian Machine Learning | Yutao Liu\, Boehringer Ingelheim \nWednesday\, July 10\, 2024\nChair: Changbao Wu \n9:10 – 9:50 Data Integration with Nonprobability Sample: Semiparametric Model-assisted Approach | Sixia Chen\, University of Oklahoma \n9:50 – 10:30 QR Prediction for Statistical Data Integration | Camelia Goga\, Université de Bourgogne Franche Comté \n10:30 – 11:00 Coffee break \n11:00 – 11:40 Inference for Big Data Assisted by Small Area Methods: An Application on SDGs Sensitivity of Enterprises in Italy | Gaia Bertarelli\, Ca’ Foscari University of Venice \n11:40 – 12:10 Generalized Least Squares in Non-monotone Missing Data | Caleb Leedy\, Iowa State University \n12:10 – 12:40 Propensity Score Weighting with Post-treatment Survey Data | Wei Liang\, University of Waterloo \n12:45 Lunch
URL:https://canssi.ca/events/workshop-survey-sampling/
LOCATION:University of Ottawa\, 75 Laurier Avenue East\, Ottawa\, Ontario\, K1N 6N5\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Haziza-2024-Survey-Sampling-Workshop-EN-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240607T100000
DTEND;TZID=America/Vancouver:20240607T110000
DTSTAMP:20260504T205753
CREATED:20240319T033945Z
LAST-MODIFIED:20240611T194750Z
UID:24943-1717754400-1717758000@canssi.ca
SUMMARY:2024 CANSSI Town Hall
DESCRIPTION:If you’ve been meaning to explore what CANSSI can offer you\, the 2024 CANSSI Town Hall is for you. \nThe Town Hall will take place on Friday\, June 7\, from 10:00 to 11:00 a.m. PDT on Zoom. \nIt is open to all members of the statistical sciences community. If you are interested in receiving a fast-paced overview of CANSSI’s programs\, activities\, and plans for the future from CANSSI Director Don Estep\, we invite you to join your colleagues from across Canada for this session. \nThis event has passed. \nWATCH THE VIDEO RECORDING \nOnce you have registered\, you will receive a Zoom link for the session via email. \nAgenda\n\nProgram changes\nNational retreat\nMentoring\nImage competition\n\nNOTE: If you are a CANSSI representative for your university\, note that the Town Hall will occur immediately after the 2024 CANSSI Annual General Meeting (AGM)\, which will take place from 9:30 to 10:00 a.m. PDT\, also on Zoom. CANSSI representatives will receive materials and a Zoom link for the AGM via email.
URL:https://canssi.ca/events/2024-town-hall/
LOCATION:Nova Scotia
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2024-CANSSI-Town-Hall-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240602
DTEND;VALUE=DATE:20240603
DTSTAMP:20260504T205753
CREATED:20240319T175351Z
LAST-MODIFIED:20240322T001026Z
UID:25139-1717286400-1717372799@canssi.ca
SUMMARY:2024 SSC Annual Meeting in St. John’s
DESCRIPTION:The 2024 Statistical Society of Canada Annual Meeting (SSC 2024) will take place at Memorial University in St. John’s\, Newfoundland and Labrador\, from June 2 to 5. CANSSI is proud to be a sponsor of this always vibrant gathering. \nIn addition to supplying a reason to travel to a beautiful location\, SSC 2024 will offer a chance to connect with statisticians from across Canada and beyond while participating in a wide range of workshops and invited talks by exceptional speakers. \nCANSSI Director Don Estep and Deputy Director Andrea Benedetti will participate in a Q & A session about CANSSI\, and a separate session will spotlight CANSSI postdocs. \nThe early-bird registration deadline for SSC 2024 is April 14. The regular registration deadline is June 1. \nVisit the SSC 2024 website for full details. \nNote that the Twelfth Annual Canadian Statistics Student Conference will take place at the same location one day before the SSC Annual Meeting.
URL:https://canssi.ca/events/2024-ssc-annual-meeting/
LOCATION:Nova Scotia
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/SSC-2024-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240601T080000
DTEND;TZID=America/Vancouver:20240601T170000
DTSTAMP:20260504T205753
CREATED:20240206T035307Z
LAST-MODIFIED:20240222T174458Z
UID:24847-1717228800-1717261200@canssi.ca
SUMMARY:Canadian Statistics Student Conference 2024
DESCRIPTION:CANSSI is proud to be a co-sponsor of the twelfth annual Canadian Statistics Student Conference (CSSC 2024)\, which will take place at Memorial University in St. John’s\, Newfoundland and Labrador\, on Saturday\, June 1\, 2024\, the day before the Statistical Society of Canada 2024 Annual Meeting opens. \nThis conference is all about engaging students through research presentations\, statistical skills development workshops and talks\, and an interactive career session with invited statisticians from different professional areas. \nIt’s a wonderful opportunity for undergraduate\, master’s\, and PhD students to present their statistics-related research through oral presentations and in-person or virtual posters. \nRegistration and Abstract Submissions Are Open!\nIf you would like to present your research at CSSC 2024\, submit your presentation abstract by Friday\, March 1. \nGeneral registration for the conference is open between now and Wednesday\, May 15. \nFOR MORE INFORMATION\, VISIT THE CSSC 2024 WEBSITE.
URL:https://canssi.ca/events/cssc-2024/
LOCATION:Memorial University\, St John's\, Newfoundland and Labrador\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CSSC-2024-BANNER-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240524T093000
DTEND;TZID=America/Vancouver:20240524T133000
DTSTAMP:20260504T205753
CREATED:20240525T012629Z
LAST-MODIFIED:20240525T013447Z
UID:25583-1716543000-1716557400@canssi.ca
SUMMARY:Florence Nightingale Day 2024 in Atlantic Canada
DESCRIPTION:Florence Nightingale 2024 in Atlantic Canada will take place at the University of New Brunswick Saint John on May 24\, 2024. \nCANSSI Atlantic will host this event\, which gives high school students the chance to explore studies and careers in statistical sciences. \nSchedule\n9:30–9:45 a.m. Registration Name tags and T-shirts \n9:45–10:00 a.m. | Welcome | Introductions | Who is Florence Nightingale? \n10:00–10:45 a.m. | Interactive Activity 1 (M&M Activity) \n10:45–11:15 a.m. | Campus Tour \n11:15 a.m.–12:00 p.m. | Panel (Phil Munz\, Joanna Mills Flemming\, Anson Green\, Maggie Brown) \n12:00–12:30 p.m. | Lunch \n12:30–1:15 p.m. | Interactive Activity 2 (Statistical Ecology) \n1:15–1:30 p.m. | Wrap-Up \nAbout Florence Nightingale Day\nFlorence Nightingale Day was launched in the U.S. in 2018. Since then\, it has become an international one-day initiative with in-person activities for local high school students organized at colleges and universities and virtual activities for students from all over the world. In the U.S.\, it has been celebrated at a number of institutions\, including Ohio State University\, Harvard University\, and the University of Texas at Dallas. In Canada it has been celebrated at Simon Fraser University and at the University of Toronto (co-sponsored by CANSSI Ontario). CANSSI is a major co-sponsor and co-organizer of Florence Nightingale Day together with the Caucus for Women in Statistics and the American Statistical Association. It’s part of our developing effort to attract under-represented and disadvantaged high school students to study statistical sciences. Our vision is to expand Florence Nightingale Day to become a national event involving high school students across Canada. \nIn 2024\, CANSSI will support events at Simon Fraser University\, the University of Toronto\, and potentially other universities. Our goal is to expand the number of sites each year. Check out these photos from the Florence Nightingale Day 2023 celebration organized by CANSSI and the Department of Statistics and Actuarial Science at SFU. \nFor an international list of upcoming Florence Nightingale Day celebrations\, visit this page.
URL:https://canssi.ca/events/fn-day-2024-atlantic-canada/
LOCATION:Nova Scotia
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-Atlantic-2024.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240522
DTEND;VALUE=DATE:20240525
DTSTAMP:20260504T205753
CREATED:20240405T190011Z
LAST-MODIFIED:20240406T043416Z
UID:25270-1716336000-1716595199@canssi.ca
SUMMARY:Ottawa Mathematics and Statistics Conference 2024
DESCRIPTION:CANSSI is proud to co-sponsor this year’s Ottawa Mathematics and Statistics Conference (OMSC 2024). \nThe OMSC is organized by the University of Ottawa Mathematics and Statistics Graduate Students’ Association. It provides a venue for graduate students in mathematics and statistics to showcase their original research. Alongside the student talks\, expert mathematicians from Canadian universities and industry will give keynote talks and host workshops. Participants are encouraged to submit abstracts for contributed talks during which they can present their original research or interesting mathematical topics. The conference will also be hosting a Three-Minute Thesis competition; students are welcome to register with a thesis title. Moreover\, to facilitate networking\, the organizers will be hosting a variety of social events. Although this conference is built for graduate students in mathematics and statistics programs\, it remains open to all undergraduate students and postdoctoral researchers wishing to participate. \nThe conference will be hosted in person at the University of Ottawa from May 22 to 24\, 2024. \nVisit the conference website for more details and to register.
URL:https://canssi.ca/events/ottawa-mathematics-and-statistics-conference-2024/
LOCATION:University of Ottawa\, 75 Laurier Avenue East\, Ottawa\, Ontario\, K1N 6N5\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/OMSC-2024-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240510T120000
DTEND;TZID=America/Vancouver:20240510T143000
DTSTAMP:20260504T205753
CREATED:20201217T034108Z
LAST-MODIFIED:20240523T173452Z
UID:24457-1715342400-1715351400@canssi.ca
SUMMARY:Let’s Talk About Race and Collective Responsibility
DESCRIPTION: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\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 2.5-hour online workshop led by Sandra Miles\, Head of Practice\, EDI\, Academic Impressions. \nRegistration\nThis event has passed. \nWATCH THE WEBINAR RECORDING\n(Use this passcode: Lt8iF+P!) \nDOWNLOAD THE PRESENTATION SLIDES (PDF) \nWorkshop Description\nIt is no surprise that racial tensions are alive and well and continue to do harm\, in every facet of life and work in higher education. For example\, those who are Black-presenting do not get to choose or operate from the historically privileged social identities such as class\, age\, or ableism that White-presenting people do. In this session\, therefore\, you will learn how race dynamics between these two groups play out in European countries versus the North American context. You will also examine how you communicate subconsciously to avoid or shut down conversations\, either as a defense mechanism or to prohibit critical dialogue about racial inequity. Finally\, you will learn strategies that will help us\, as a collective\, to move forward while simultaneously embracing the new challenges that are sure to come our way. \nThe workshop’s discussion will follow this structure: \n\nSetting the stage\nWhy do so many conversations about race end so poorly?\nWhy do we need to talk about race?\nHow do we engage in this work?\na.   Defining key terms\nb.   Traditional vs. transformational views\nc.   Just let it go\nFinal Q & A\n\nLearning Outcome\nAfter participating\, you will have greater understanding of how your individual actions around racial inequity connect back to our collective responsibility. \nWho Should Attend\nThis workshop is designed for faculty and students across all levels and functional areas who are (a) seeking an opportunity for self-development\, and (b) committed to supporting the advancement of diversity and inclusivity efforts on their campus. \n\nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/lets-talk-about-race/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Lets-Talk-About-Race.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Winnipeg:20240429T090000
DTEND;TZID=America/Winnipeg:20240429T164500
DTSTAMP:20260504T205753
CREATED:20240311T194448Z
LAST-MODIFIED:20240321T220210Z
UID:24998-1714381200-1714409100@canssi.ca
SUMMARY:CANSSI Prairies Workshop: Statistical Analysis of Network Data
DESCRIPTION:Join Us\nThis one-day workshop on “Statistical Analysis of Network Data\,” led by Eric Kolaczyk\, professor of statistics at McGill University\, is the second in the CANSSI Prairies Workshop Series in Data Science. Plan to attend on Monday\, April 29\, 2024\, either online or in person at the University of Manitoba’s Fort Garry campus. \nThe workshop\, presented at the level of Kolaczyk and Csardi (2020)\, will include four sessions on the following topics: \n\nBackground and terminology\nBasic elements of network visualization and characterization\nA hands-on session in R covering visualization\, characterization\, and a quick look at community detection\nRegression and prediction on networks\n\nCost and Registration\nCDN$75 – Students\nCDN$100 – Non-students \nCoffee break refreshments and lunch will be provided for in-person participants. \nIf you would like to attend\, but the cost of the event is an issue for you\, please reach out to canssi@umanitoba.ca. \nREGISTER ON EVENTBRITE \nLocation and Schedule\nThe workshop will take place in Room 200\, Armes Building\, at the University of Manitoba’s Fort Garry campus. All times are Central Daylight Time. Sessions will also be accessible online via Zoom. \n9:00–10:30 a.m. | Session 1 | Background and terminology \n10:30–10:45 a.m. | Morning Coffee Break \n10:45 a.m.–12:15 p.m. | Session 2 | Basic elements of network visualization and characterization \n12:15–1:30 p.m. | Lunch Break \n1:30–3:00 p.m. | Session 3 | A hands-on session in R covering visualization\, characterization and a quick look at community detection \n3:00–3:15 p.m. | Afternoon Coffee Break \n3:15–4:45 p.m. | Session 4 | Regression and prediction on networks \nAbout the Speaker\nEric Kolaczyk\, PhD\nProfessor\, Department of Mathematics and Statistics\, McGill University \nEric Kolaczyk was born in 1968 in Chicago\, Illinois. He obtained a BS degree in mathematics from the University of Chicago\, and MS and PhD degrees in statistics from Stanford University. He is currently on the faculty in the Department of Mathematics and Statistics at McGill University. He was on the faculty in the Department of Mathematics and Statistics at Boston University from 1998 through 2022\, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l’Universite Paris VII. For almost a decade he taught an annual short-course at l’École Nationale de la Statistique et de l’Administration Économique (ENSAE) in Paris. \nHe is an elected fellow of the American Statistical Association (ASA)\, the Institute of Mathematical Statistics (IMS)\, and the American Association for the Advancement of Science (AAAS)\, an elected senior member of the Institute for Electrical and Electronics Engineers (IEEE)\, and an elected member of the International Statistical Institute (ISI). \nAbout the Series\nThe CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions\, participants have the opportunity to explore new topics\, learn cutting-edge techniques\, and connect with experts in the field.
URL:https://canssi.ca/events/canssi-prairies-kolaczyk/
LOCATION:University of Manitoba (Fort Garry Campus)\, 66 Chancellors Circle\, Winnipeg\, Manitoba\, R3T 2N2\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Prairies-Workshop-April-2024-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240425T160000
DTEND;TZID=Europe/Amsterdam:20240425T160000
DTSTAMP:20260504T205753
CREATED:20240405T222536Z
LAST-MODIFIED:20240406T000850Z
UID:25277-1714060800-1714060800@canssi.ca
SUMMARY:Embracing Equality in the Changing World of Statistics: ISI Women In Statistics Webinar
DESCRIPTION:We are happy to announce that CANSSI Director Don Estep will be one of three invited speakers at “Embracing Equality in the Changing World of Statistics\,” the International Statistical Institute (ISI) Women in Statistics Webinar #3\, on April 25\, 2024\, at 4:00 p.m. Central European Summer Time. His talk on “Chipping Away at Equity” will be based on experiences gained with the success of the equity aspects of programs offered by CANSSI. \nHis participation is an indication of the high priority that CANSSI places on promoting equity\, diversity\, and inclusion in its programs and within the broader statistical sciences community. \nThe other speakers at the webinar will be Denise Silva\, current ISI Vice-President and Editor of the Statistical Journal of the IAOS\, and Ksenija Dumicic\, Chair of the ISI Committee on Women in Statistics. \nVisit the event web page for full details about the presentations and speakers and to register.
URL:https://canssi.ca/events/embracing-equality/
LOCATION:Nova Scotia
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/ISI-Women-in-Statistics-Webinar-2024-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240404T150000
DTEND;TZID=America/Vancouver:20240404T170000
DTSTAMP:20260504T205753
CREATED:20240326T185400Z
LAST-MODIFIED:20240327T025337Z
UID:25223-1712242800-1712250000@canssi.ca
SUMMARY:2024 Constance van Eeden Seminar: Ethical AI Is More Than Loss Functions
DESCRIPTION:Join Us\nThe Constance van Eeden seminar is a yearly event in which graduate students from the University of British Columbia (UBC)’s Department of Statistics vote for their favourite statisticians. The winner is contacted by the organizing committee and invited to give a talk in the department’s seminar. The speaker spends one or two days on campus\, and graduate students have the opportunity to have lunch and dinner with them. \nCANSSI is proud to be a co-sponsor of this year’s event on April 4\, 2024\, with guest speaker Sherri Rose\, Professor of Health Policy and Co-Director of the Health Policy Data Science Lab at Stanford University. \nLocation\nAttend the event online or in person: \nEarth Sciences Building (ESB) 5104\n2207 Main Mall\nUniversity of British Columbia\nVancouver\, B.C. \nRegistration\nThere is no cost to participate. \nREGISTER TO ATTEND THIS EVENT IN PERSON \nREGISTER TO WATCH THIS EVENT ON ZOOM \nPresentation Abstract\nWhat constitutes a fair algorithm and the ethical use of data is context specific. Algorithms are not neutral and optimization choices will reflect a specific value system and the distribution of power to make these decisions. Data also reflect societal bias\, such as structural racism. Ethics and fairness research for health AI spans many fields\, including policy\, medicine\, computer science\, sociology\, and statistics. Considerations go well beyond loss functions and typical measures of statistical assessment. This talk includes discussion of team construction\, who decides the research question\, minimum standards for research quality\, reproducibility\, least publishable units\, and community engaged research. Overarching themes are also that centering health equity and developing methodology tailored to specific health questions are critical given the stakes involved. \nAbout the Guest Speaker\nSherri Rose\, Ph.D.\, is a Professor of Health Policy and Co-Director of the Health Policy Data Science Lab at Stanford University. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy\, Dr. Rose works on risk adjustment\, ethical algorithms in health care\, comparative effectiveness research\, and health program evaluation. She has published interdisciplinary projects across varied outlets\, including Biometrics\, Journal of the American Statistical Association\, Journal of Health Economics\, Health Affairs\, and New England Journal of Medicine. In 2011\, Dr. Rose coauthored the first book on machine learning for causal inference\, with a sequel text released in 2018. Starting 2024\, Dr. Rose will be co-teaching a new course at Stanford\, Methods for Reproducible Population Health and Clinical Research. \nDr. Rose has been honoured with an NIH Director’s Pioneer Award\, NIH Director’s New Innovator Award\, the ISPOR Bernie J. O’Brien New Investigator Award\, and multiple mid-career awards\, including the Gertrude M. Cox Award. She was named a Fellow of the American Statistical Association in 2020 and received the 2021 Mortimer Spiegelman Award\, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. Her research has been featured in The New York Times\, USA Today\, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019 to 2023. \nShe received her Ph.D. in Biostatistics from the University of California\, Berkeley\, and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. \nAbout the Constance van Eeden Seminar\nThe van Eeden seminar is supported by the Constance van Eeden fund\, which was established by Dr. van Eeden (1927–2021) in 1998. Dr. van Eeden was a mathematical statistician who made foundational contributions to estimation in restricted parameter spaces and nonparametric statistics. \nThe van Eeden fund is used to support many other activities on top of the student-invited speaker talk\, such as inviting visiting professors for a week or more; organizing statistics summer schools; and giving out admissions awards to promising graduate students. \nSee the fund’s webpage to learn more!
URL:https://canssi.ca/events/2024-constance-van-eeden-seminar-ethical-ai-is-more-than-loss-functions/
LOCATION:Nova Scotia
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2024-Van-Eeden-Seminar-Poster.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240321T173000
DTEND;TZID=America/Toronto:20240321T183000
DTSTAMP:20260504T205753
CREATED:20240110T200906Z
LAST-MODIFIED:20240119T001409Z
UID:24642-1711042200-1711045800@canssi.ca
SUMMARY:Xiao-Li Meng: “Being\, Training\, and Employing Data Scientists”
DESCRIPTION:Being\, Training\, and Employing Data Scientists: Wisdoms and Warnings from Harvard Data Science Review\nOn March 21\, 2024\, the Department of Mathematics and Statistics and the Faculty of Arts and Science at Queen’s University in Kingston\, Ontario\, will host a distinguished lecture with Xiao-Li Meng\, Founding Editor of Harvard Data Science Review and one of the world’s leading statisticians. \nCANSSI is proud to be a sponsor of this unique event. \nThe lecture will be presented in a hybrid format to enable both in-person and online attendance and will be preceded by a reception for in-person attendees. We hope you’ll be able to join us! \nRegistration\nWe invite you to register for the lecture on Eventbrite. You will be asked to indicate whether you are planning to attend in person or online. \nREGISTER ON EVENTBRITE \nSchedule and Location\nThe lecture will be held in Jeffery Hall 127\, 48 University Avenue\, Queen’s University\, in Kingston\, Ontario. \nThe reception for in-person attendees will be held in front of Room 127 in Jeffery Hall. \n5:00–5:30 p.m. EDT | Reception (for in-person attendees)\n5:30–6:30 p.m. EDT | Lecture \nLecture Abstract\n“What Does It Take to Be a Successful Data Scientist?” \n“Is Data Science Education a Jack of All Trades?” \n“How Can We Train Data Scientists When We Can’t Agree on Who They Are?” \nThese thought-provoking questions are the titles of articles in Harvard Data Science Review (HDSR). This talk surveys and reflects on data science training\, employment\, and deployment in the BIG (Business\, Industry\, and Government) world based on such articles\, and many more:   \n\n“Change Through Data: A Data Analytics Training Program for Government Employees” \n“Beyond Unicorns: Educating\, Classifying\, and Certifying Business Data Scientists”\n“Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards”\n“From Unicorn Data Scientist to Key Roles in Data Science: Standardizing Roles”\n“Deployment as a Critical Business Data Science Discipline”\n“When Translation Problems Arise Between Data Scientists and Business Stakeholders\, Revisit Your Metrics”\n”How to Define and Execute Your Data and AI Strategy”\n“A Balanced Perspective on Prediction and Inference for Data Science in Industry”\n“What Are the Values of Data\, Data Science\, or Data Scientists?”\nTo Deploy Machine Learning\, You Must Manage Operational Change—Here Is How UPS Got It Right.  \n\nAbout Xiao-Li Meng\n Xiao-Li Meng\, the Founding Editor-in-Chief of Harvard Data Science Review and the Whipple V. N. Jones Professor of Statistics at Harvard University\, is well known for his depth and breadth in research\, his innovation and passion in pedagogy\, his vision and effectiveness in administration\, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by the Committee of Presidents of Statistical Societies (COPSS) in 2001\, and he is the recipient of numerous awards and honours for his more than 150 publications. In 2020\, he was elected to the American Academy of Arts and Sciences. Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard\, where he served as the Chair of the Department of Statistics (2004–2012) and the Dean of the Graduate School of Arts and Sciences (2012–2017).
URL:https://canssi.ca/events/lecture-xiao-li-meng/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Xiao-Li-Meng-Lecture.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240215T120000
DTEND;TZID=America/Vancouver:20240215T143000
DTSTAMP:20260504T205753
CREATED:20231212T171638Z
LAST-MODIFIED:20240216T222019Z
UID:24454-1707998400-1708007400@canssi.ca
SUMMARY:Privilege as a Bridge\, Not a Barrier
DESCRIPTION: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\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 2.5-hour online workshop led by Sandra Miles\, Head of Practice\, EDI\, Academic Impressions. \nRegistration\nThis event has passed. \nWATCH THE WEBINAR RECORDING\n(Available until March 16\, 2024; use this passcode: Pr1vilege!) \nDOWNLOAD THE PRESENTATION SLIDES (PDF) \nWorkshop Description\nUnderstanding Privilege and its Role in Enhancing Equity: All of us enjoy privilege on some level\, which means all of us have an opportunity to use our privilege in support of those who experience marginalization. But how does one establish credibility and acceptance as an ally when there are so many opportunities to get it wrong? This training aims to remove the stigma and discuss the nuance and variation between performative and authentic connection. This session will identify traditional and less recognizable forms of privilege and provide tools to engage\, create space for\, and include communities where we do not hold membership. \nEach participant will receive a Privilege/Marginalized chart which will serve as the basis for the presentation. \nEngaging in Difficult Conversations with Mentees\, Direct Reports\, and Students: Delivering difficult news is never easy\, but when power dynamics are at play it can be even more stressful for all parties involved. The stakes are even higher when diversity feels more like a barrier than the opportunity it is supposed to be. This session will offer clarity on how to be intentional and compassionate\, while still prioritizing accountability when offering constructive feedback. \nParticipants will engage with a case study which will serve as the basis for the presentation. \nLearning Outcome\nAfter participating\, you will leave with tools to engage in your sphere of influence with meaning\, humility\, and clear intentions for the purpose of cultivating an environment of trust and vulnerability. \nWho Should Attend\nFaculty who are interested in learning about privilege\, microaggressions\, and effective allyship as a leader in higher education. This course is most beneficial to anyone unfamiliar or uncomfortable with communicating across difference with colleagues\, administrative leaders\, and students. \nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/privilege-as-a-bridge/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Privilege-as-a-Bridge.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240209T093000
DTEND;TZID=America/Vancouver:20240209T163000
DTSTAMP:20260504T205753
CREATED:20230927T201044Z
LAST-MODIFIED:20240408T190242Z
UID:23637-1707471000-1707496200@canssi.ca
SUMMARY:Florence Nightingale Day 2024
DESCRIPTION:Florence Nightingale Day 2024 at Simon Fraser University is coming up! This one-day event is part of an international celebration that gives high school students\, especially those from traditionally under-represented groups\, a chance to explore educational and career opportunities in statistical sciences. It is named after Florence Nightingale\, the widely known founder of modern nursing who was also a ground-breaking statistician credited with inventing the pie chart. \nIn British Columbia\, Florence Nightingale Day 2024 will be co-hosted on Friday\, February 9\, by the Canadian Statistical Sciences Institute (CANSSI) and Simon Fraser University (SFU)’s Department of Statistics and Actuarial Science. The event will take place at SFU’s Burnaby campus and will include fun hands-on activities\, panel discussions featuring university students and professionals\, and opportunities for participants to talk to university students about their experiences and interest in studying statistics. The day has three goals: \n\nTo give high school students an understanding of the strong benefits of studying statistics for their future career paths\nTo give high school students a glimpse of what studying statistics in university is like\nTo promote diversity in statistics and data science by encouraging and inspiring high school students from all communities to explore statistics\n\nHigh school students will hear what it’s like to study and work in different areas of statistical sciences\, and they will have the opportunity to ask questions and talk directly with statistics students and professionals. The day will also give them a chance to explore the uses of statistics through engaging games and activities. Lunch is free for all participating students and teachers! \nWhat Happens at Florence Nightingale Day\nWhat does the event look like? Check out these photos from Florence Nightingale Day 2023. \n\n\n\nClose to 30 high school students attended the first CANSSI-sponsored Florence Nightingale Day at Simon Fraser University on February 3\, 2023.\n\n\n\n\n\nStatistics is already more diverse than many other STEM fields. One goal of Florence Nightingale Day is to build on that strength.\n\n\n\n\n\nA number of SFU students shared their experiences with statistics. From left: Yuxin Liu\, Nirodha Epasinghege Dona\, Tom Xie\, Sarah Zwiep\, and Ryan Smith.\n\n\n\n\n\nDerek Bingham\, chair of SFU’s Department of Statistics & Acturial Science\, welcomed students and moderated a career panel.\n\n\n\n\n\nMembers of the career panel described opportunities in statistics and data science. From left: Owen Ward (SFU)\, Lucas Wu (Zelus Analytics)\, Shannon Lo (Statistics Canada)\, Hayley Boyce (Slalom)\, and Kristen Bystrom (Yelp).\n\n\n\n\n\nStudents rotated through group activities\, including the famous Monty Hall Problem.\n\n\n\n\n\nThese students were glued to the screen—in a good way!\n\n\n\n\n\nThe atmosphere was high-energy throughout the group activities …\n\n\n\n\n\n… and the discussion was lively despite the masks.\n\n\n\n\n\nAre those answers? There seems to be some disagreement!\n\n\n\n\n\nBecky Lin\, a lecturer in SFU’s Department of Statistics & Actuarial Science\, played a central role in organizing the event.\n\n\n\n\n\nCANSSI scientific coordinator Nathan Ngongo was a key member of the organizing team.\n\n\n\n\n\nThe first-time event was a huge success\, thanks also to the enthusiastic support of SFU student volunteers\, identifiable by their blue shirts and friendly smiles.\n\n\nHow to Participate\nSpace is limited for this event\, and we can’t guarantee that everyone who signs up will be able to participate. Please use the links below to express your interest\, and we will follow up to confirm your participation. \nHigh School Teachers\nIf you would like to bring your class or a group of students to Florence Nightingale Day 2024\, we can make it easy by providing transportation and a free lunch for you and your students. \nTo express your interest\, please fill out this form and we’ll contact you. \nStudents\nIf you would like to attend on your own\, please sign up here and we’ll contact you. \nVolunteers\nWe are looking for individuals to help us plan and organize the activities for this event. \nIf you are interested in helping out either before the event or on the day\, please sign up here to get more information. \nSchedule of Activities\n(Tentative schedule; all times are Pacific Time) \n\n\n\n\nTime\nActivity\n\n\n9.30–9:45\nRegistration\n\n\n9:45–10:15\nWelcome and Icebreaker Game\n\n\n10:15–11:00\n\nUndergraduate and Graduate Student Panel \n\nSonia Dosanjh (Undergraduate\, Political Science\, with minor in Social Data Analytics)\nJuliet Fowler (Master’s Student\, Computational Neuroscience)\nValerie Kistrina (Undergraduate\, Computer Science\, with minor in Statistics)\nKathleen Moody (Undergraduate\, Criminology)\nHashan Peiris (PhD Candidate\, Actuarial Science)\nRyan Smith (Undergraduate\, Psychology)\n\n\n\n\n11:00–11:15\nBreak\n\n\n11:15–12:30\nInteractive Activities\n\n\n12:30–1:15\nLunch\n\n\n 1:15–2:00\n\nCareer Panel \n\nHayley Boyce (Data Scientist\, Slalom)\nKristen Bystrom (Data Scientist\, Yelp)\nKimberly Kroetch (Data Scientist\, SMT (SportsMEDIA Technology Corp.))\nYing Li (Analyst\, Statistics Canada)\nLin Zhang (Professor\, Statistics and Actuarial Science\, Simon Fraser University)\n\n\n\n\n2:00–2:15\nWrap-up\n\n\n2:15–3.45\nSFU Campus Tour\n\n\n\n\nAbout Florence Nightingale Day\nFlorence Nightingale Day was launched in the U.S. in 2018. Since then\, it has become an international one-day initiative with in-person activities for local high school students organized at colleges and universities and virtual activities for students from all over the world. In the U.S.\, it has been celebrated at a number of institutions\, including Ohio State University\, Harvard University\, and the University of Texas at Dallas. In Canada it has been celebrated at Simon Fraser University and at the University of Toronto (co-sponsored by CANSSI Ontario). CANSSI is a major co-sponsor and co-organizer of Florence Nightingale Day together with the Caucus for Women in Statistics and the American Statistical Association. It’s part of our developing effort to attract under-represented and disadvantaged high school students to study statistical sciences. Our vision is to expand Florence Nightingale Day to become a national event involving high school students across Canada. \nIn 2024\, CANSSI will support events at Simon Fraser University\, the University of Toronto\, and potentially other universities. Our goal is to expand the number of sites each year. Check out these photos from the Florence Nightingale Day 2023 celebration organized by CANSSI and the Department of Statistics and Actuarial Science at SFU. \nFor an international list of upcoming Florence Nightingale Day celebrations\, visit this page.
URL:https://canssi.ca/events/fnday-2024/
LOCATION:Simon Fraser University (Halpern Centre)\, Burnaby\, British Columbia\, V5A 1S6\, Canada
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-2024-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20231122T120000
DTEND;TZID=America/Vancouver:20231122T143000
DTSTAMP:20260504T205753
CREATED:20231019T002911Z
LAST-MODIFIED:20231127T222225Z
UID:24118-1700654400-1700663400@canssi.ca
SUMMARY:Implicit Bias: What You Don’t Know Might Hurt Someone
DESCRIPTION: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\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 2.5-hour online workshop led by Sandra Miles\, Head of Practice\, EDI\, Academic Impressions. \nRegistration\nThis event has passed. \nWATCH THE WEBINAR RECORDING\n(Available until December 22\, 2023; use this passcode: t*f?#AN4) \nWorkshop Description\nWe live and work in a global\, culturally diverse world and serve students from a plethora of cultural backgrounds. This workshop analyzes these diversities and ways in which we may respond to them. Through discussion and case studies we will examine subconscious bias and common stereotypes that have been normalized by society. We will also explore how various actions and methods of communication may be perceived by others and how generalizations undermine our effectiveness. \nThis interactive presentation empowers participants to explore\, confront\, and recalibrate any personal\, cultural\, or gender biases we may be unaware we are carrying into our day-to-day interactions with the community and colleagues. \nLearning Outcome\nAfter participating\, you will leave with tools to help continuously uncover and deepen your understanding of personal biases and acquire skills to compassionately help others recognize their own biases. \nWho Should Attend\nIndividuals who are interested in learning about implicit bias within a higher education setting. This course is most beneficial to anyone unfamiliar with implicit bias or interested in exploring effective intervention techniques to use with colleagues\, administrative leaders\, and students. \nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/implicit-bias/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Implicit-Bias.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20231117T074500
DTEND;TZID=America/Vancouver:20231117T153000
DTSTAMP:20260504T205753
CREATED:20230926T200902Z
LAST-MODIFIED:20240114T014818Z
UID:23659-1700207100-1700235000@canssi.ca
SUMMARY:CANSSI Showcase 2023
DESCRIPTION:Watch the Videos\nThis event is past\, but recordings of the sessions are available online: \n\nKeynote lecture (see description below)\nPanel discussion (see description below)\nShort talks (four presenters; see descriptions below)\nLightning talks (15 presenters; see descriptions below)\nConclusion (including announcement of meme contest winners)\n\nConnect with the Community\nThe CANSSI Showcase is an annual celebration of the work being done by CANSSI-supported researchers\, postdoctoral fellows\, and students across Canada. \nCANSSI Showcase 2023 will be held virtually on Friday\, November 17. It will be a wonderful opportunity for you to: \n\nConnect and network with Canada’s statistical sciences community\nShowcase your research (especially if you are a graduate student\, postdoc\, or younger faculty member)\nDiscover career opportunities\nGain a better understanding of CANSSI’s activities\nLearn about the different ways CANSSI can support your work\n\nWe invite you to join us for a full schedule of exciting events\, including a keynote presentation by Sallie Ann Keller (U.S. Census Bureau\, University of Virginia)\, a panel discussion with distinguished Canadian and U.S. panellists\, lightning talks by students\, postdoctoral fellows\, and faculty members\, and presentations by CANSSI-funded researchers. \nYou’ll leave with new inspiration\, deeper connections\, and a richer understanding of what is happening across Canada. \nRegister to Showcase Your Research\nWhether you are a student\, a postdoctoral fellow\, or a faculty member\, the Showcase offers you an opportunity to present your work to a national audience through an 8-minute online lightning talk. Register as a presenter to save your spot. \nSpace is limited and presentation slots will be filled on a first-come\, first-served basis. We encourage you to register early if you hope to present. \nREGISTER AS A PRESENTER (closed) \nRegister to Attend\nDon’t miss this chance to connect with Canada’s statistical sciences community. You’ll learn about current research and expand your professional network. \nREGISTER FOR GENERAL ATTENDANCE (closed) \nShowcase Schedule\n\n\n\nTime (PST)\nActivity\n\n\n7:45–8:00\nOpening and Welcome: Introduction of Speaker\n\n\n8:00–9:00\nKeynote Lecture: “Evolving a Data Enterprise to Support Relevant\, Timely\, and Equitable Statistical Products”\nSpeaker: Sallie Ann Keller (U.S. Census Bureau and University of Virginia)\nSee the keynote abstract and speaker bio below\n\n\n9:00–9:15\nBreak\n\n\n9:15–10:45\nPanel Discussion: “The Role of Statistics for Public Good and Good Governance”\nModerator: Meredith Franklin\nPanellists:\n• Josée Bégin (Statistics Canada)\n• F. Jay Breidt (NORC at the University of Chicago)\n• Dave Campbell (Carleton University\, Bank of Canada)\n• Sallie Ann Keller (U.S. Census Bureau)\nSee the panel description below\n\n\n10:45–11:00\nBreak\n\n\n11:00–12:15\nCANSSI Short Talks\nModerator: Audrey Béliveau | Presenter bios\n1. Antonio Herrera Martin (University of Toronto): “Rare Events in Astronomy with Repeating FRBs”\n2. Gracia Dong (University of Toronto | University of Victoria): “Using Capture-Recapture with Data Extracts from Healthcare Records to Estimate Population Sizes of Vulnerable Populations – Applications and Data Quality Issues”\n3. Benjamin Bloem-Reddy (University of British Columbia): “Non-parametric Hypothesis Tests for Distributional Group Symmetry”\n4. Tianyu Guan (Brock University): “Comparison of Individual Playing Styles in Soccer”\n\n\n12:15–12:30\nBreak\n\n\n12:30–3:15\nLightning Talks\nModerator: Saman Muthukumarana | Presenter bios\n1. Alysha Cooper (University of Guelph): “Modelling Benthic Compositions Using Regularized DM Regression”\n2. Ander Diaz-Navarro (Ontario Institute for Cancer Research): “In Silico Generation of Synthetic Cancer Genomes Using Deep Learning Algorithms”\n3. Arthur Chatton (Université de Montréal): “Personalized Dynamic Super Learning”\n4. Carlotta Pacifici (HEC Montréal | University of Bologna): “Dynamic Tail Risk Estimation Using Extreme Value Theory: An Application to the S&P 500 Index”\n5. Cong Jiang (Université de Montréal): “Efficient and Doubly Robust Estimation of COVID-19 Vaccine Effectiveness Under the Test-negative Design”\n6. Di Meng (Wilfrid Laurier University): “Short Selling Incentives and Contingent Convertible Securities”\n7. Harsh Kumar (University of Toronto): “Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health”\n8. Lara Maleyeff (McGill University): “Bayesian Model Averaging for the Identification of Tailoring Variables in Adaptive Factorial Designs”\n9. Luke Hagar (University of Waterloo): “Scalable Power Curves with Targeted Hypercube Sampling”\n10. Nikola Surjanovic (University of British Columbia): “Exploration-agnostic Geometric Ergodicity of Non-reversible Parallel Tempering”\n11. Richard Yan (Simon Fraser University): “A Generalized Phase I/II Dose Optimization Trial Design with Multi-categorial and Multi-graded Outcomes”\n12. Skyepaphora Griffith (Queen’s University): “Spectrogram Smoothing for Estimation of the Evolutionary Power Spectra of Uniformly Modulated Processes”\n13. Surani Matharaarachchi (University of Manitoba | Government of Manitoba): “Long COVID Prediction in Manitoba Using Clinical Notes Data: A Machine Learning Approach”\n14. Xiaoting Li (University of British Columbia): “Estimation of Conditional Value-at-Risk Using Copulas”\n16. Yuan Bian (University of Western Ontario): “A Unified Framework of Analyzing Missing Data and Variable Selection Using Regularized Likelihood”\n\n\n3:15–3:30\nMeme Contest Winners and Wrap-up\nMeme Judges: Rafal Kulik and Léo Raymond-Belzile\n\n\n\n\nKeynote Lecture\nEvolving a Data Enterprise to Support Relevant\, Timely\, and Equitable Statistical Products \nAbstract: This is an exciting time to be part of official statistics. There is growing demand for statistical products that traditional surveys alone cannot address. Stakeholders want timelier\, more accurate\, more granular\, and differently structured information about people\, places\, and the economy than ever before. New data sources and data science innovations allow us to meet those demands. In today’s digital era\, massive amounts of data are generated as we go about our daily lives. This volume of data generated every day\, through commercial and personal transactions and the management of federal\, state\, and local programs\, continues to grow exponentially. This provides an incredible opportunity to revolutionize how we capture and use data to develop relevant products. Instead of limiting ourselves to the data our surveys produce\, we can flip the paradigm to design products based on what data users need. To do this we must integrate our survey data with other data sources. This presentation will share how the U.S. Census Bureau plans to re-envision its data enterprise based on a statistical product–first approach. This approach includes eliciting the purposes and uses our data are to support\, collaborating with internal and external data users to develop the products using ALL our data assets\, and then embracing varying access modes for statistical product dissemination to support stakeholder needs at all levels of data acumen. The research and enabling technologies to support this journey has begun! This work will modernize and transform our official statistical infrastructure. \nAbout the Keynote Speaker \nDr. Sallie Ann Keller is chief scientist and associate director of the U.S. Census Bureau’s Research and Methodology Directorate. She also holds an endowed distinguished professorship in biocomplexity and faculty appointments in the School of Medicine\, Department of Public Health Services; School of Engineering and Applied Science\, Department of Engineering Systems and Environment; and School of Data Science at the University of Virginia (UVA). \nAs chief scientist\, Keller leads the Research and Methodology Directorate’s research centers\, each devoted to domains of investigation important to the future of social and economic statistics. The directorate collaborates with teams across the U.S. Census Bureau and with researchers worldwide to develop innovative scientific solutions and advances to ensure the Census Bureau remains a leader in economic and social measurement. \nKeller is a nationally recognized research scientist with expertise in social and decision informatics\, statistical underpinnings of data science\, and data access and confidentiality. She is a leading voice in creating the science of all data and advancing this research across disciplines to benefit society. \nHer prior positions include director of the Social and Decision Analytics Division within UVA’s Biocomplexity Institute and Initiative; professor of statistics and director of the Social and Decision Analytics Laboratory within the Biocomplexity Institute of Virginia Tech; academic vice president and provost at the University of Waterloo; director of the Institute for Defense Analyses Science and Technology Policy Institute; the William and Stephanie Sick Dean of Engineering at Rice University; head of the Statistical Sciences group at Los Alamos National Laboratory; professor of statistics at Kansas State University; and Statistics Program director at the National Science Foundation. \nKeller is an elected member of the U.S. National Academy of Engineering. She has served as a member of the National Academy of Sciences Board on Mathematical Sciences and Their Applications and the Committee on National Statistics\, and as chair of the Committee on Applied and Theoretical Statistics. She is a fellow of the American Association for the Advancement of Science\, an elected member of the International Statistics Institute\, and a fellow and past president of the American Statistical Association. Keller earned her B.S. and M.S. in mathematics from the University of South Florida and her Ph.D. in statistics from Iowa State University. \nPanel Discussion\nThe Role of Statistics for Public Good and Good Governance \nDescription: Statistics provides the essential framework for developing and evaluating evidence-informed public policy and governance operations. This panel will focus on emerging pressures and opportunities on statistics related to the public good as well as ways in which young statisticians can become involved in this area through research and careers. \nAbout the Panellists \nAbout Josée Bégin: Josée Bégin has a master’s degree in mathematics and statistics (MSc) from the University of Ottawa. She started her career at the Canada Revenue Agency in 1994 before joining Statistics Canada in 2002\, where she gained experience in overseeing large and complex statistical programs. Josée became the Assistant Chief Statistician of the Social\, Health and Labour Statistics Field in January 2023. \nThe Social\, Health and Labour Statistics Field provides accurate\, timely and relevant information across a range of social topics to decision makers at all levels of government\, non-governmental organizations\, researchers and the Canadian public. Its portfolio includes a number of large survey and administrative data programs\, such as the Centre for Population Health Data; the Canadian Centre for Justice and Community Safety Statistics; the Centre for Gender\, Diversity and Inclusion Statistics; and the Centre for Labour Market Information. This field is also home to Canadian census content expertise. \nHer favourite hobbies include yoga and reading. \nAbout F. Jay Breidt: F. Jay Breidt\, PhD\, is a Senior Fellow in the Department of Statistics and Data Science at NORC at the University of Chicago. He is also Professor Emeritus and past Chair of the Department of Statistics at Colorado State University. His expertise is mathematical statistics\, with interests that include survey sampling\, time series\, nonparametric regression\, and uncertainty quantification for complex scientific models. Breidt has an extensive record of refereed publications and has presented over 130 invited short courses\, conference talks\, and academic seminars. Breidt has been an associate editor for seven different journals and Reviews Editor for the Journal of the American Statistical Association. He has served on six review committees for the National Academy of Sciences and has served two terms on the Federal Economic Statistics Advisory Committee. He currently chairs the Census Scientific Advisory Committee for the US Census Bureau. Breidt is an elected Fellow in both the American Statistical Association and the Institute of Mathematical Statistics. \nAbout Dave Campbell: Dr. Dave Campbell is a Full Professor in the School of Mathematics and Statistics and the School of Computer Science at Carleton University. Academically\, he runs a collaborative team researching inferential algorithms at the intersections of statistics with machine learning\, computing\, and applied mathematics to solve problems inspired by industry and government collaborations. 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.  \nDave’s career path maintains a theme of Data Science leadership. He spent two years leading a Data Science team at the Bank of Canada in projects relating to cybersecurity\, forecasting banknote demand\, understanding drivers of inflation\, ensuring data privacy\, and more. Before moving to Ottawa in 2019\, Dave was a Professor at Simon Fraser University\, 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 was a co-organizer of the Vancouver Learn Data Science Meetup.  \nFind him on LinkedIn: https://www.linkedin.com/in/drdavecampbell/  \nAbout Sallie Ann Keller: See the Keynote Lecture section above.
URL:https://canssi.ca/events/showcase-2023/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Showcase-2023-General.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20231004T140000
DTEND;TZID=America/Vancouver:20231004T170000
DTSTAMP:20260504T205753
CREATED:20230928T235455Z
LAST-MODIFIED:20230929T000249Z
UID:23808-1696428000-1696438800@canssi.ca
SUMMARY:Math Beyond the Numbers: An EDI Panel Discussion
DESCRIPTION:CANSSI is happy to share this event\, which can be used to fulfill the EDI requirement for CANSSI-supported researchers. \nEvent Description\nThe Department of Mathematics and Statistics at Concordia University invites you to join an exciting discussion on the significance of equity\, diversity\, and inclusion (EDI) in STEM fields\, with a particular focus on mathematics and statistics. \nThe event will challenge the traditional perception of mathematics as a purely serious subject. Featuring a drag queen host\, a guest speaker (Anthony Bonato\, Professor\, Toronto Metropolitan University\, and Member of the NSERC Committee for Equity\, Diversity\, and Inclusion)\, and a diverse panel (including Mélina Mailhot\, Interim Regional Director\, CANSSI Quebec)\, this event promises an engaging and entertaining atmosphere. By presenting mathematics in a fun and accessible way\, Math Beyond the Numbers aspires to reach a wider audience and emphasize the importance of EDI in STEM\, specifically in the field of mathematics. \nRegistration\nFor more information and to register for in person or online attendance\, visit the event web page.
URL:https://canssi.ca/events/math-beyond-the-numbers/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
ATTACH;FMTTYPE=image/jpeg:https://canssi.ca/wp-content/uploads/MathBeyondTheNumbers-AnEDIPanelDiscussion-scaled.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230907T100000
DTEND;TZID=America/Toronto:20230907T180000
DTSTAMP:20260504T205753
CREATED:20230829T230827Z
LAST-MODIFIED:20230829T231724Z
UID:23490-1694080800-1694109600@canssi.ca
SUMMARY:CANSSI Quebec Postdoc Day
DESCRIPTION:On Thursday\, September 7\, 2023\, CANSSI Quebec will host a Postdoc Day at Concordia University in Montreal and online. \nThis networking opportunity for Quebec postdoctoral fellows is open to the entire statistical sciences community. It will feature eight 35-minute presentations of exciting research in statistical sciences by postdocs from around Quebec\, followed by a reception. The event is designed to give participants a chance to form new connections. \nJoin us in person at Concordia University’s 4TH SPACE\, 1400 De Maisonneuve Boulevard West\, Montreal\, or online. \nSchedule\n10 a.m.–4 p.m. ET | Presentations\n4 p.m.–6 p.m. ET | Reception \nRegistration\nTo attend in person\, register here. \nTo get the Zoom link\, register here.
URL:https://canssi.ca/events/canssi-quebec-postdoc-day/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:CANSSI Quebec
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-QC-Postdoc-Day-Announcement-EN-Poster.png
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BEGIN:VEVENT
DTSTART;TZID=America/Winnipeg:20230822T083000
DTEND;TZID=America/Winnipeg:20230822T170000
DTSTAMP:20260504T205753
CREATED:20230530T230158Z
LAST-MODIFIED:20230801T180429Z
UID:22433-1692693000-1692723600@canssi.ca
SUMMARY:Fundamentals of Causal Inference: With R
DESCRIPTION:Join Us\nThis one-day workshop is the first in the CANSSI Prairies Workshop Series in Data Science. Babette Brumback\, professor emerita in the Department of Biostatistics at the University of Florida\, will speak on “Fundamentals of Causal Interference: With R.” \nJoin us in person or online. \nCost and Registration\nCDN$75 – Students and postdoctoral fellows\nCDN$150 – Non-students \n(In-person attendees will receive a complimentary lunch.) \nRegister by August 8 for in-person attendance and by August 17 for virtual attendance. \nREGISTER HERE \nWorkshop Description\nOne of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. “Fundamentals of Causal Inference: With R” explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models\, including standardization\, doubly robust estimation\, difference-in-differences estimation\, front-door estimation\, and instrumental variables estimation. These methods are compared in terms of estimating the average effect of treatment on the treated (ATT). The fundamentals of mediation analysis and adjusting for time-dependent confounding are also presented. Several real data examples\, simulation studies\, and analyses using R motivate and illustrate the methods throughout. The course assumes familiarity with basic statistics and probability\, regression\, and R. The course will be taught with a blend of lecture and worked examples. \nWorkshop Schedule\n\n8:30–9:00 a.m. | Registration \n\n9:00–9:15 a.m. | Opening Remarks \n\n9:15–10:45 a.m. | Module 1 \n\n10:45–11:00 a.m. | Morning Coffee Break \n\n11:00 a.m.–12:30 p.m. | Module 2 \n\n12:30–1:30 p.m. | Lunch \n\n1:30–3:00 p.m. | Module 3 \n\n3:00–3:15 p.m. | Afternoon Coffee Break \n\n3:15–4:45 p.m. | Module 4 \n\n4:45–5:00 p.m. | Closing Remarks \n\nAbout the Speaker\nBabette Brumback\, PhD\nProfessor Emerita\, Department of Biostatistics\, University of Florida\n \n\nBabette Brumback\, Ph.D.\, is Professor Emerita in the Department of Biostatistics at the University of Florida. Her statistical research has concentrated on methods for longitudinal data analysis\, causal modeling\, bias adjustment\, and analysis of data from complex sampling designs. She has also collaborated extensively on public health and medical studies concerning a broad array of research areas. Her professional activities include serving in 2014–2016 as Chair Elect\, Chair\, and Past Chair of the American Statistical Association Section on Statistics in Epidemiology\, serving in 2015–2016 as President of the Florida Chapter of the American Statistical Association\, serving from 2011–2015 as a member of the National Institutes of Health Study Section on Clinical and Integrative Cardiovascular Sciences\, and serving in 2016–2017 on an Advisory Panel for the MMS Program of the National Science Foundation. She has also served as Associate Editor of Biometrics and as Statistical Editor of Psychosomatic Medicine. Dr. Brumback received her PhD in Statistics from the University of California\, Berkeley\, in 1996\, followed by postdoctoral training in Biostatistics and Epidemiology at the Harvard School of Public Health from 1996–1999. She is an elected member of Delta Omega and a Fellow of the American Statistical Association. \nAbout the Series\nThe CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions\, participants have the opportunity to explore new topics\, learn cutting-edge techniques\, and connect with experts in the field. \nOne More Thing …\nIn conjunction with the workshop\, Babette Brumback will present an in-person statistics seminar on “Interesting Statistical Lessons in Providing Real World Evidence that the ensoETM Device Protects the Esophagus from Thermal Injury During Radiofrequency Ablation” organized by the Department of Statistics at the University of Manitoba on the evening of Monday\, August 21\, 2023. Registration is not required. For details\, visit the event listing on the University of Manitoba website.
URL:https://canssi.ca/events/canssi-prairies-brumback/
LOCATION:University of Winnipeg\, 515 Portage Ave\, Winnipeg\, Manitoba\, R3B 2E9\, Canada
CATEGORIES:CANSSI Prairies
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Prairies-Workshop-Brumback-2.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20230803
DTEND;VALUE=DATE:20230805
DTSTAMP:20260504T205753
CREATED:20230427T194128Z
LAST-MODIFIED:20230503T191810Z
UID:22303-1691020800-1691193599@canssi.ca
SUMMARY:2nd CANSSI-NISS Health Data Science Workshop
DESCRIPTION:Overview\nNowadays\, 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. \nThe 2nd CANSSI-NISS Health Data Science Workshop will be held on August 3–4\, 2023\, at the University of Waterloo in Waterloo\, Ontario. 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. \nThe workshop consists of two keynote presentations (with Charmaine Dean\, University of Waterloo\, and Eric J. Tchetgen Tchetgen\, University of Pennsylvania)\, three invited sessions\, a poster competition for students and new researchers\, and a banquet/dinner on Day 1. \nThe themed invited sessions will explore current approaches and new challenges in: \n\nStatistical Methods for Precision Health\nCausal Inference for Big Health Data\nAI and Health Data Science\n\nRegistration\nDiscounted registration fees for this workshop will apply to the following registrants: \n\nCANSSI National Institutional Members registrants\nNISS Affiliate registrants\nStudents currently enrolled at a university\n\nFor more details and to register\, visit the conference web page. \n 
URL:https://canssi.ca/events/2nd-canssi-niss-health-data-science-workshop/
LOCATION:University of Waterloo\, 200 Ring Rd\, Waterloo\, Ontario\, N2L 3G1\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2nd-CANSSI-NISS-Health-Data-Science-Workshop-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230802
DTEND;VALUE=DATE:20230806
DTSTAMP:20260504T205753
CREATED:20230414T185750Z
LAST-MODIFIED:20230503T213048Z
UID:22068-1690934400-1691279999@canssi.ca
SUMMARY:23rd Meeting of New Researchers in Statistics and Probability
DESCRIPTION: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). \nThe conference is designed to promote networking and interaction among new researchers in the fields of statistics\, biostatistics\, and probability\, including those who expect to hold tenure-track positions in the near future. \nAnyone who has received a PhD in or after 2016\, or expects to receive a PhD by the end of 2023\, is eligible to attend\, although participation is by invitation only\, based upon poster or speed-talk submissions submitted by Monday\, April 24. \nAttendees will present their research through a brief expository talk and/or poster\, and have the chance to mingle throughout the day. There will be longer talks by senior researchers\, and panels on various topics such as publishing\, grant applications\, collaboration\, and mentoring. The conference covers a broad range of topics in statistics\, applied statistics\, and some probability. \nVisit the conference web page for details and the online application form.
URL:https://canssi.ca/events/meeting-of-new-researchers-2023/
LOCATION:University of Toronto\, 700 University Ave\, Toronto\, Ontario\, M5G 1X6\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/IMS-New-Researchers-Conference-V3.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230711
DTEND;VALUE=DATE:20230714
DTSTAMP:20260504T205753
CREATED:20230323T192843Z
LAST-MODIFIED:20230515T215134Z
UID:21741-1689033600-1689292799@canssi.ca
SUMMARY:IASE 2023: Fostering Learning of Statistics and Data Science
DESCRIPTION:Are you interested in “Fostering Learning of Statistics and Data Science”? \nThat’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. \nCANSSI is a co-sponsor of the three-day event\, which will be hosted by the Department of Statistical Sciences at the University of Toronto from July 11 to 13. Those who cannot attend in person may participate virtually. \nThe conference will feature more than 40 presentations and 35 posters\, including three exciting keynote speakers: Chris Wild (University of Auckland\, New Zealand)\, Shingai Manjengwa (Vector Institute for Artificial Intelligence\, Toronto)\, and Jürgen Symanzik (Utah State University). \nRegister now\nEarly-bird registration at reduced rates is open until April 30. \nFor more information and to register\, visit the IASE 2023 website.
URL:https://canssi.ca/events/iase-2023/
LOCATION:University of Toronto\, 700 University Ave\, Toronto\, Ontario\, M5G 1X6\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/IASE-2023-FINAL.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230616T100000
DTEND;TZID=America/Vancouver:20230616T110000
DTSTAMP:20260504T205753
CREATED:20200511T151320Z
LAST-MODIFIED:20230618T041641Z
UID:22441-1686909600-1686913200@canssi.ca
SUMMARY:2023 CANSSI Town Hall
DESCRIPTION:WATCH THE VIDEO RECORDING \nDOWNLOAD THE TOWN HALL PRESENTATION SLIDES (PDF) \nIf you’ve been meaning to explore what CANSSI can offer you\, the 2023 CANSSI Town Hall is for you. \nThe Town Hall will take place on Friday\, June 16\, from 10:00 to 11:00 a.m. PT on Zoom. \nIt is open to all members of the statistical sciences community. If you are interested in receiving a fast-paced overview of CANSSI’s programs\, activities\, and plans for the future\, we invite you to join your colleagues from across Canada for this session. \nREGISTER HERE FOR THE CANSSI TOWN HALL. (Registration closed) \nOnce you have registered\, you will receive a Zoom link for the session via email. \nAgenda\n\nOverview of CANSSI’s budget and core financial commitments.\nUpdates about CANSSI programs\n       a. Graduate Student Enrichment Scholarships changes\n       b. Version 2.0 of Research for Social Good\n       c. Mentoring program\n       d. Community consultation about EDI\nCurrent identity of CANSSI\n\nNOTE: If you are a CANSSI representative for your university\, note that the Town Hall will occur immediately after the 2023 CANSSI Annual General Meeting (AGM)\, which will take place from 9:30 to 10:00 a.m. PT\, also on Zoom. CANSSI representatives will receive materials and a Zoom link for the AGM via email.
URL:https://canssi.ca/events/2023-town-hall/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2023-Town-Hall-REGISTER-BELOW-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230607T120000
DTEND;TZID=America/Vancouver:20230607T140000
DTSTAMP:20260504T205753
CREATED:20230302T201042Z
LAST-MODIFIED:20230308T192417Z
UID:21634-1686139200-1686146400@canssi.ca
SUMMARY:Mentoring 101: How to Get What You Need to Thrive in the Academy
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community. \nWe 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 at North Carolina State University. \nREGISTER ON EVENTBRITE \nProgram\n\nDo you have a reliable and strong network of mentors?\nAre you struggling to cultivate mentoring relationships?\nDo you know the difference between a mentor and a sponsor?\nAre you moving to a new stage of your career and wondering how to find new mentors and sponsors that are appropriate to the next level?\n\nTraditional ideas about mentoring often leave faculty feeling that something is missing in their professional development. In this workshop\, we challenge the conventional wisdom about faculty mentoring and present a new framework to help you re-imagine how mentoring works. All participants will map their current mentoring network\, identify the pressing areas of need that are not being met\, and create a plan to expand their existing mentoring network. \nWorkshop Leader\n\nJoy Gaston Gayles\nProfessor of Higher Education\nNorth Carolina State University \nJoy Gaston Gayles\, Ph.D.\, is a professor of higher education at North Carolina State University. She has established an international reputation for her research on intercollegiate athletics in higher education. Dr. Gayles is well known for her research on women and underrepresented people of color in STEM fields. In 2022\, DIVERSE magazine named Dr. Gayles one of 25 influential women leading higher education. In addition\, she has published more than 50 refereed articles and book chapters on issues of diversity and equity in postsecondary education. Dr. Gayles participated in NCFDD’s Faculty Success Program in 2014 and now serves as a faculty success coach and campus workshop facilitator. She has coached over 100 faculty participants through the FSP program and has facilitated over five dozen campus workshops. Dr. Gayles loves to travel and make memories with her teenagers. As a former student-athlete\, she is a sports and exercise enthusiast.
URL:https://canssi.ca/events/mentoring101/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Banner-Mentoring-101.png
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DTSTART;TZID=America/Vancouver:20230509T153000
DTEND;TZID=America/Vancouver:20230510T163000
DTSTAMP:20260504T205753
CREATED:20230405T044153Z
LAST-MODIFIED:20230414T033311Z
UID:22055-1683646200-1683736200@canssi.ca
SUMMARY:Eric Joel Tchetgen Tchetgen Will Speak at the 2023 Distinguished Lecture Series in Statistical Sciences
DESCRIPTION: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: \n\nAn (un)Holy Union: Causal Inference\, Semiparametric Statistics and Machine Learning in the Age of Data Science (May 9\, 3:30–4:30 p.m. ET)\nSingle Proxy Control (May 10\, 3:30–4:30 p.m. ET)\n\nVisit the event web page for abstracts of the talks and to register for in-person or virtual attendance. \nAbout Eric Joel Tchetgen Tchetgen\nDr. Tchetgen Tchetgen is the inaugural Luddy Family President’s Distinguished Professor in the Department of Statistics at The Wharton School of the University of Pennsylvania as well as an Adjunct Professor of Biostatistics and Epidemiologic Methods at the Harvard Chan School. Dr. Tchetgen Tchetgen has distinguished himself as one of the leading young biostatisticians and epidemiologic methodologists in the world\, having made numerous influential contributions to the development and application of statistical methods for missing data\, causal inference\, and semiparametric regression in social\, genetic and infectious disease epidemiology. In addition to his myriad of research accomplishments\, Dr. Tchetgen Tchetgen is a talented and inspiring teacher and mentor who has published well over 200 papers in top statistical\, epidemiological and medical journals\, produced an impressive record of grant funding\, and has generously and tirelessly served the statistical profession\, both nationally and internationally. He is a hardworking\, creative\, and well-respected leader\, and through his statistical talent\, has dedicated his career to advancing public health. He was awarded the inaugural Rousseeuw Prize for Statistics in 2022 for his contributions to causal inference and its applications in Medicine and Public Health.
URL:https://canssi.ca/events/eric-joel-tchetgen-tchetgen-2023/
LOCATION:Nova Scotia
CATEGORIES:CANSSI National,CANSSI Ontario
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/tchetgen-talk.png
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DTSTART;TZID=America/Vancouver:20230504T120000
DTEND;TZID=America/Vancouver:20230504T140000
DTSTAMP:20260504T205753
CREATED:20220913T163703Z
LAST-MODIFIED:20230508T032355Z
UID:19261-1683201600-1683208800@canssi.ca
SUMMARY:Microaggressions: They Aren’t Being Too Sensitive
DESCRIPTION: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). \nWe invite you to join us for this two-hour online workshop led by Sandra Miles of Academic Impressions. \n  \nWATCH THE WEBINAR RECORDING\n(Available until June 4\, 2023; use this passcode: #1$3uLH%) \nDOWNLOAD THE PRESENTATION SLIDES\nDOWNLOAD THE LIST OF PRIVILEGED AND MARGINALIZED GROUPS \n  \nProgram\nMicroaggressions refer to any language or behaviour that causes unintended offense to a member of a marginalized group. During this session a list of more than 20 categories that can make a person a member of a marginalized or privileged group will be presented for the purpose of clarifying the various ways we all can work to be more intentional in our interactions. The nature of a microaggression is that it is causing offense without intending to\, so the focus will not be on bullying\, but on understanding the difference between intent vs impact. \nObjectives: \n\nIdentify and define microaggressions\nDevelop skills to effectively name\, respond to\, and prevent microaggressions in personal and professional settings\nUnderstanding the role of privilege and implicit bias in recognizing and interrupting microaggressions\nOpportunities to practice deconstructing microaggressions\n\nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/microaggressions/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Banner-Microaggressions-EN.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230217T130000
DTEND;TZID=America/Toronto:20230217T163000
DTSTAMP:20260504T205753
CREATED:20230127T002544Z
LAST-MODIFIED:20230127T002728Z
UID:21472-1676638800-1676651400@canssi.ca
SUMMARY:Best Practice in Ethical Data Analysis
DESCRIPTION: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 by small cell sizes\, considerations of inequality in outcomes\, and discussion of how statistical analyses can be used to raise questions about such inequities in society. The workshop will focus on methodological and applied concerns\, giving attendees immediately useful and actionable advice. \nThe event organizers are Dr. Erica Moodie (McGill University) and Dr. Michael Wallace (University of Waterloo). Speakers include Dr. Rubab Arim and Dr. Evelyne Bougie (Statistics Canada\, Social Analysis and Modelling Division)\, Dr. AJ Lowik (Centre for Gender and Sexual Health Equity)\, Dr. Irene Chen (University of California\, Berkeley and San Francisco)\, and Dr. Emma Pierson (Jacobs Technion-Cornell Institute). \nFor additional information about the program and to register\, visit the event page on the CRM website.
URL:https://canssi.ca/events/best-practice-in-ethical-data-analysis/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Banner-CRM-StatLab-Workshop-Feb-2023.png
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DTSTART;TZID=America/Vancouver:20230203T093000
DTEND;TZID=America/Vancouver:20230203T151500
DTSTAMP:20260504T205753
CREATED:20220901T222021Z
LAST-MODIFIED:20230112T012650Z
UID:19024-1675416600-1675437300@canssi.ca
SUMMARY:Florence Nightingale Day 2023
DESCRIPTION: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. \nFlorence 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 statistics and data sciences. \nIn British Columbia\, Florence Nightingale Day 2023 will be co-hosted on Friday\, February 3\, by us—the Canadian Statistical Sciences Institute (CANSSI)—and Simon Fraser University (SFU)’s Department of Statistics and Actuarial Science. \nThe event will take place at SFU’s Burnaby campus and will include fun hands-on activities\, panel discussions by university students and professionals\, and opportunities for participants to talk to university students about their experiences and interest in studying statistics. \nCareer panelists will speak about their experiences working in different areas of statistical sciences\, potential career paths\, and higher education in the field. Students will have the opportunity to explore the field and have their questions answered during the session through lively conversations. The day will mix engaging activities with friendly discussions to offer a prospective future in statistical and data sciences. Lunch will also be provided for the students and teachers attending. \nThe day has three goals: \n\nTo give high school students an understanding of the strong benefits of studying statistics for their future career paths\nTo give high school students a glimpse of what studying statistics in university is like\nTo promote diversity in statistics and data science by encouraging and inspiring high school students from all communities to explore statistics\n\nSchedule of Activities\n(All times are Pacific Time) \n\n\n\n\nTime\nActivity\n\n\n9.30–10.00\nRegistration\n\n\n10:00–10:15\nWelcome Talk\n\n\n10:15–11:00\nUndergraduate and Graduate Student Panel \n\nNirodha Epasinghege Dona\, PhD student\, statistics\n\nYuxin Liu\, undergraduate\, statistics\nRyan Smith\, undergraduate\, psychology\nTom Xie\, undergraduate\, molecular biology and biochemistry and computer science\nSarah Zwiep\, undergraduate\, computer science with minor in statistics\n\n\n\n\n11:00–11:15\nBreak\n\n\n11:15–12:30\nInteractive Activities\n\n\n12:30–1:15\nLunch\n\n\n 1:15–2:00\nCareer Panel \n\nHayley Boyce\, data scientist\, Slalom\nKristen Bystrom\, data scientist\, Yelp\nShannon Lo\, data scientist\, Statistics Canada\, Text Analytics and Digitalization Section\nOwen Ward\, statistics professor\, Simon Fraser University\nLucas Wu\, data scientist\, Zelus Analytics\n\n\n\n\n2:00–2:15\nWrap-up\n\n\n2:15–3.15\nSFU Campus Tour\n\n\n\n\nFor Students\nInterested in participating as a student? Sign up here if you would like to attend on your own. \nFor Teachers\nIf you would like to bring a class of students to this event\, we can make it easy by providing transportation and free lunch for your students. \nInterested in participating as a teacher? Sign up here and we’ll get in touch. \nFor Volunteers\nWe are looking for individuals to help us plan and organize the activities for this event. If you can help us either before the event or on the day\, please let us know. There are lots of ways to get involved. \nInterested in participating as a volunteer? Sign up here to get more information. \nAbout Florence Nightingale Day\nFlorence Nightingale Day was launched in the U.S. in 2018. Since then\, it has become an international one-day event with in-person activities for local high school students organized at colleges and universities and virtual activities for students from all over the world. In the U.S.\, it was celebrated at Ohio State University\, Harvard University\, and the University of Texas at Dallas in October 2022. It will be celebrated in British Columbia for the first time in February 2023. \nCANSSI is a major co-sponsor and co-organizer of Florence Nightingale Day together with the Caucus for Women in Statistics and the American Statistical Association. It’s part of our developing effort to attract under-represented and disadvantaged high school students to study statistical and data sciences. Our vision is to expand Florence Nightingale Day to become a national event involving high school students across Canada. \nIn February 2023\, CANSSI will support events at Simon Fraser University and the University of Toronto. Our goal is to expand the number of sites each year. \nCheck out these photos from the Florence Nightingale Day celebration organized by CANSSI Ontario and the Department of Statistical Sciences at the University of Toronto on April 9\, 2022.
URL:https://canssi.ca/events/fn-day-2023/
LOCATION:Simon Fraser University (Halpern Centre)\, Burnaby\, British Columbia\, V5A 1S6\, Canada
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-Banner-EN.png
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DTSTART;TZID=America/Vancouver:20230202T110000
DTEND;TZID=America/Vancouver:20230202T123000
DTSTAMP:20260504T205753
CREATED:20230127T035654Z
LAST-MODIFIED:20230207T231852Z
UID:21492-1675335600-1675341000@canssi.ca
SUMMARY:van Eeden Seminar: The Four Pillars of Machine Learning
DESCRIPTION: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. \nFor more information and to register for the seminar\, visit the event page on the UBC statistics department website. \nWATCH THE VIDEO RECORDING OF THIS SEMINAR ON YOUTUBE \nPresentation Abstract\n“I will present a unified perspective on the field of machine learning research\, following the structure of my recent book\, Probabilistic Machine Learning: Advanced Topics (https://probml.github.io/book2). In particular\, I will discuss various models and algorithms for tackling the following four key tasks\, which I call the “pillars of ML”: prediction\, control\, discovery and generation. For each of these tasks\, I will also briefly summarize a few of my own contributions\, including methods for robust prediction under distribution shift\, statistically efficient online decision making\, discovering hidden regimes in high-dimensional time series data\, and for generating high-resolution images.”
URL:https://canssi.ca/events/van-eeden-seminar-machine-learning/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Banner-Van-Eeden-Seminar.png
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