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SUMMARY:Florence Nightingale Day 2025 at Simon Fraser University
DESCRIPTION:Florence Nightingale Day 2025 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 2025 will be co-hosted on Friday\, May 2\, 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 ask questions about studying and working in statistics. The day has three goals: \n\nTo give participants an understanding of the strong benefits of studying statistics for their future career paths\nTo give participants 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\nLunch is free for all participating students and teachers! \nWhat Happens at Florence Nightingale Day\nWhat does the day look like? Check out these stories and photos from past events: \n\nFlorence Nightingale Day 2024\nFlorence Nightingale Day 2023\n\n\nFlorence Nightingale Day gives high school students a chance to ask questions and explore activities related to statistical sciences.\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 2025\, 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.* \n*We’ve reached our maximum capacity and can’t accept more classes for this year’s celebration. However\, we invite you to use the form to express your interest in bringing your class or group to next year’s celebration\, expected to take place in early May 2026. \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\nUndergraduate and Graduate Student Panel \n\nPriansh A. (Undergraduate\, Psychology)\nRoxana Darvishi (Master’s Student\, Statistics)\nJuliet Fowler (Master’s Student\, Computational Neuroscience)\nKathleen Moody (Undergraduate\, Criminology)\nKun Peng (Andy) Zhang (Undergraduate\, Computer Science)\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\nKristen Bystrom (Data Scientist\, Yelp)\nYing Li (Analyst\, Statistics Canada)\nHa Dinh (Senior Data Scientist\, Shopify)\nLin Zhang (Assistant Professor\, SFU)\nDuong Vu (Senior Data Scientist\, MasterCard)\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\, the University of Toronto (co-sponsored by CANSSI Ontario)\, the Université de Montréal\, and the University of New Brunswick. 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 2025\, CANSSI will support events at multiple locations\, including Simon Fraser University\, the University of Alberta\, the University of Toronto\, York University\, and the Université de Montréal. Our goal is to expand the number of sites each year. Check out these photos from the Florence Nightingale Day 2024 celebrations organized by CANSSI and the hosting universities. \nFor an international list of upcoming Florence Nightingale Day celebrations\, visit this page.
URL:https://canssi.ca/events/fnday-2025-at-sfu/
LOCATION:Simon Fraser University (Halpern Centre)\, Burnaby\, British Columbia\, V5A 1S6\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-2025-at-SFU-EN-3.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250410T130000
DTEND;TZID=America/Toronto:20250410T140000
DTSTAMP:20260530T155205
CREATED:20250415T222513Z
LAST-MODIFIED:20250416T010447Z
UID:27659-1744290000-1744293600@canssi.ca
SUMMARY:NISS-CANSSI Collaborative Data Science Webinar: Astronomy & Cosmic Emulation
DESCRIPTION:Date: Thursday\, April 10\, 2025\nTime: 1:00–2:00 p.m. Eastern time\nLocation: On Zoom \nAbout the Presentation\nJoin us for the second NISS-CANSSI Collaborative Data Science Webinar: Astronomy & Cosmic Emulation. This webinar explores the role of statistical modelling and computational techniques in advancing our understanding of the universe. Featuring Kelly Renee Moran (Los Alamos National Laboratory) and Katrin Heitmann (Argonne National Laboratory)\, the presentation will highlight how statistical emulation accelerates complex astrophysical simulations\, enabling researchers to study cosmic structures more efficiently. Key statistical concepts discussed include iterative space-filling designs\, statistical smoothing techniques\, and Gaussian process based emulation and calibration. Emily Casleton (Los Alamos National Laboratory) will moderate the session\, guiding an engaging conversation at the intersection of data science\, astronomy\, and high-performance computing. \nREGISTER ON ZOOM \n\nAbout the Speakers\nKelly Renee Moran is an applied statistician at Los Alamos National Laboratory (LANL)\, where she applies statistical modelling and computational tools to tackle complex problems across multiple scientific disciplines. From astrophysics to epidemiology\, Moran’s expertise helps researchers extract meaningful insights from their data. Moran joined LANL’s Statistical Sciences Group in 2020 after working intermittently with the lab over five years. Her early interest in applied statistics led her to LANL as an undergraduate at Clemson University\, where she engaged with the lab’s epidemiology group. She later pursued a PhD in statistics at Duke University with a Department of Energy Computational Science Graduate Fellowship (DOE CSGF)\, completing multiple research practicums at Los Alamos before joining full-time. Her research spans a wide array of topics. She has contributed to epidemiology by analyzing internet search data to forecast global disease trends and\, during the COVID-19 pandemic\, studied how viral variants spread based on demographics and immunity factors. In space science\, Moran worked with data from NASA’s Interstellar Boundary Explorer (IBEX) satellite to determine whether different particle detection events could stem from a common heliosphere signal. Additionally\, she has played a key role in cosmological modelling\, developing an emulator to predict the matter power spectrum from large-scale simulations\, enabling researchers to study cosmic structure more efficiently. Beyond research\, Moran has also contributed to occupational safety at LANL by automating systems for monitoring employee health and hazard exposure. She is an active member of LANL’s Computational\, Computer\, and Statistical Sciences (CCS) division\, where she helps foster professional development and collaboration among early-career researchers. Moran’s interdisciplinary approach and problem-solving mindset make her an invaluable contributor to LANL’s mission\, advancing knowledge across scientific frontiers through data-driven discovery. \nKatrin Heitmann is a Physicist and Computational Scientist at Argonne National Laboratory in the High Energy Physics Division. She is also a Senior Associate for the Kavli Institute for Cosmological Physics at the University of Chicago and a member of NAISE at Northwestern University. Before joining Argonne\, Katrin was a staff member at Los Alamos National Laboratory. Her research currently focuses on computational cosmology\, in particular on trying to understand the causes for the accelerated expansion of the universe. She is responsible for large simulation campaigns with HACC (Hardware/Hybrid Accelerated Cosmology Code) and for the tools in the associated analysis library\, CosmoTools. Katrin is a member of several major astrophysical surveys that aim to shed light on this question and was until recently the spokesperson for the LSST Dark Energy Science Collaboration. Her research interests include cosmology; study of dark energy\, dark matter\, and inflation; and high-performance computing. \nAbout the Moderator\nEmily Casleton is a Statistician in the Statistical Sciences Group at Los Alamos National Laboratory (LANL) and was recruited to LANL as a summer student at the 2012 Conference on Data Analysis (CoDA). She joined the Lab as a postdoc in 2014 after earning her PhD in Statistics from Iowa State University. Since converting to staff in 2015\, Emily has routinely collaborated with seismologists\, nuclear engineers\, physicists\, geologists\, chemists\, and computer scientists on a wide variety of cool data-driven projects. Most recently\, her research focus has been on testing and evaluating large AI models. She holds a BS in Mathematics and Political Science from Washington & Jefferson College\, 2003; an MS in Statistics from West Virginia University\, 2006; and a PhD in Statistics from Iowa State University. \nAbout the NISS-CANSSI Collaborative Data Science Webinar Series\nIn an era where data transcends traditional boundaries\, fostering interdisciplinary collaboration has never been more crucial. Together with the National Institute of Statistical Sciences (NISS)\, we are proud to present the NISS-CANSSI Collaborative Data Science webinar series dedicated to showcasing data scientists and domain scientists from diverse scientific fields who collaborate to advance science. This initiative celebrates the power of collaboration\, demonstrating how the fusion of data science with various disciplines can drive innovation\, solve complex problems\, and push the frontiers of knowledge beyond the realm of statistics. \nEach session will feature two speakers: a data scientist and a subject matter expert from another domain who have successfully partnered to achieve impactful results. Through their shared experiences and insights\, attendees will gain a deeper understanding of the collaborative processes that bridge gaps between different scientific landscapes. These seminars will not only highlight successful partnerships but also provide a platform for exchanging ideas\, methodologies\, and best practices that inspire new collaborations.
URL:https://canssi.ca/events/niss-canssi-cds-apr2025/
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/NISS-CANSS-CoLab-Apr-10-EN-2.png
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DTSTART;TZID=America/Toronto:20250320T130000
DTEND;TZID=America/Toronto:20250320T140000
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CREATED:20250219T210850Z
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SUMMARY:NISS-CANSSI Collaborative Data Science Webinar: Changing Climate\, Changing Data—A Journey of Statisticians and Climate Scientists
DESCRIPTION:Date: Thursday\, March 20\, 2025\nTime: 1:00–2:00 p.m. Eastern time\nLocation: On Zoom \nJoin Us\nJoin us for the NISS-CANSSI Collaborative Data Science Webinar Series: Changing Climate\, Changing Data—A Journey of Statisticians and Climate Scientists. This webinar features Claudie Beaulieu (University of California\, Santa Cruz) and Rebecca Killick (Lancaster University)\, with moderation by Emily Casleton (Los Alamos National Laboratory). The discussion will explore how climate change impacts society and the critical role of statistical methods in understanding climate variability and trends. The speakers will highlight their research on whether global warming is accelerating\, share insights into their collaboration\, and discuss challenges in publishing statistical work in environmental science. Ethical considerations in climate data analysis will also be examined. Don’t miss this opportunity to gain valuable perspectives at the intersection of statistics and climate science! \nPresentation Abstract\nClimate change is impacting our society in many different ways. Scientifically and societally\, we need to accurately estimate the magnitude of these changes to inform and lead societal adaptation and mitigation to ongoing and future change. Understanding the underlying mechanisms of these changes necessitates robust characterization and quantification of observed and simulated data. This talk will introduce our ongoing work in quantifying climate change and variability\, centred around the current debate as to whether global warming is accelerating\, or not. We will touch on how our collaboration started and evolved\, the pros and cons of publishing statistical work in environmental journals\, and ethical quandaries. \nREGISTER ON ZOOM \n\nAbout the Speakers\nDr. Claudie Beaulieu is an Assistant Professor of Ocean Sciences at the University of California (UC)\, Santa Cruz\, whose groundbreaking work in environmental data science has earned her a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF). This prestigious award supports her integrated research and education program\, which focuses on understanding climate variability and climate change by leveraging data science techniques. Dr. Beaulieu’s research addresses the critical need to comprehend the drivers of oceanic and climatic variability and change. Her work tackles the challenge of analyzing the increasingly complex environmental data made available through advances in climate and ocean monitoring\, observational platforms\, and Earth system modelling. By applying statistical and machine learning methods\, she aims to maximize insights from observational data and model simulations. Dr. Beaulieu earned her PhD in Water Sciences from the Institut National de la Recherche Scientifique Centre Eau Terre et Environnement in Quebec. She conducted postdoctoral research in atmospheric and oceanic sciences at Princeton University and was a lecturer in the School of Ocean and Earth Science at the University of Southampton before joining the UC Santa Cruz faculty in 2018. Through her research\, education\, and outreach efforts\, Dr. Beaulieu is shaping the future of climate science and environmental data analysis\, while inspiring and equipping the next generation of environmental scientists. \nRebecca Killick is a Senior Lecturer in Statistics at Lancaster University and joined the Centre for Health Informatics\, Computing\, and Statistics (CHICAS) in March 2021 following a discipline-hopping award from the Engineering and Physical Sciences Research Council (EPSRC). After completing their PhD in 2012 within the Mathematics and Statistics department\, Rebecca was a Postdoctoral Research Associate before obtaining a lectureship in Mathematics and Statistics in 2013. Alongside her departmental role\, Rebecca is Head of the Lancaster University Women’s Network and Furness College Advisor. In 2019 they were the first UK recipient of the “Young Statistician of the Year” award from the European Network for Business and Industrial Statistics\, which recognizes the work of young people in introducing innovative methods\, promoting the use of statistics\, and/or successfully using it in daily practice. Rebecca sees their research as a feedback loop\, being inspired by problems in real-world applications\, creating novel methodology to solve those problems and then feeding these back into the problem domain. Their primary research interests lie in development of novel methodology for the analysis of univariate and multivariate nonstationary time series models. This covers many topics including developing models\, model selection\, efficient estimation\, diagnostics\, clustering\, and prediction. Rebecca is highly motivated by real-world problems and has worked with data in a range of fields including Bioinformatics\, Energy\, Engineering\, Environment\, Finance\, Health\, Linguistics\, and Official Statistics. Rebecca is passionate about ensuring the availability and accessibility of research in the form of open-source software. As part of this\, they advocate to the statistical community the importance of recognition of research software as an academic output\, are Co-Editor in Chief of the Journal of Statistical Software\, and are a member of the rOpenSci statistical software peer review board. \nAbout the Moderator\nEmily Casleton is currently the Deputy Group Leader of the statistical sciences group at the Los Alamos National Laboratory (LANL)\, but was recruited to LANL as a summer student at the 2012 Conference on Data Analysis (CoDA). She joined the Lab as a postdoc in 2014 after earning her PhD in Statistics from Iowa State University. Since converting to staff in 2015\, Emily has routinely collaborated with seismologists\, nuclear engineers\, physicists\, geologists\, chemists\, and computer scientists on a wide variety of cool data-driven projects. Most recently\, she has been the PI of a data analytics project under the NA-22 venture MINOS; co-organizer of the invited CCS-6 seminar series; and co-chair of CoDA\, the conference that brought her to LANLA a decade ago. She holds a BS in Mathematics and Political Science from Washington & Jefferson College\, 2003; an MS in Statistics from West Virginia University\, 2006; and a PhD in Statistics from Iowa State University\, 2014. \nAbout the NISS-CANSSI Collaborative Data Science Webinar Series\nIn an era where data transcends traditional boundaries\, fostering interdisciplinary collaboration has never been more crucial. Together with the National Institute of Statistical Sciences (NISS)\, we are proud to present the NISS-CANSSI Collaborative Data Science webinar series dedicated to showcasing data scientists and domain scientists from diverse scientific fields who collaborate to advance science. This initiative celebrates the power of collaboration\, demonstrating how the fusion of data science with various disciplines can drive innovation\, solve complex problems\, and push the frontiers of knowledge beyond the realm of statistics. \nEach session will feature two speakers: a data scientist and a subject matter expert from another domain who have successfully partnered to achieve impactful results. Through their shared experiences and insights\, attendees will gain a deeper understanding of the collaborative processes that bridge gaps between different scientific landscapes. These seminars will not only highlight successful partnerships but also provide a platform for exchanging ideas\, methodologies\, and best practices that inspire new collaborations.
URL:https://canssi.ca/events/niss-canssi-cds-webinar-session-1/
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/NISS-CANSS-CoLab-Mar-20-EN.png
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20250308T100000
DTEND;TZID=America/Vancouver:20250308T153500
DTSTAMP:20260530T155205
CREATED:20250219T034550Z
LAST-MODIFIED:20250303T200442Z
UID:27324-1741428000-1741448100@canssi.ca
SUMMARY:Spring 2025 UBC/SFU Joint Statistics Seminar: Lessons Learned from Developing and Maintaining Open-Source Software
DESCRIPTION:Date: Saturday\, March 8\, 2025\nTime: 10:00 a.m.–3:35 p.m. Pacific time\, followed by a social hour\nLocation: UBC Earth Sciences Building\, Room 5104\, 2207 Main Mall\, Vancouver\, B.C. \nCANSSI is proud to co-sponsor the Spring 2025 UBC/SFU Joint Statistics Seminar. \nThe UBC/SFU Joint Statistics Seminar is jointly hosted by the graduate students of the University of British Columbia (UBC) Department of Statistics and the Simon Fraser University (SFU) Department of Statistics and Actuarial Science. The Spring 2025 event is the second of two events taking place in the 2024/2025 academic year. The Fall 2024 event was organized by graduate students from SFU\, and the Spring 2025 event is organized by graduate students from UBC. Over its 20-year history\, the event has offered Statistics and Actuarial Science graduate and undergraduate students at both schools an opportunity to network with their peers and to attend accessible talks about the research work of their fellow students and faculty. \nThe Spring 2025 event includes talks given by six students (three from UBC and three from SFU)\, followed by a presentation on “Lessons Learned from Developing and Maintaining Open Source Software” by Professor Geoff Pleiss (Assistant Professor\, Department of Statistics\, UBC). \nThe day will also include multiple opportunities for networking and socializing. Note that this event is in-person only. \nRegistration\nTo express your interest in presenting or to register for the event\, visit the event web page. \nSchedule\n(All times are Pacific Time) \n\n\n\nTime\nActivity\n\n\n10:00–10:30 a.m.\nBreakfast\n\n\n10:30–10:35 a.m.\nWelcome Message\n\n\n10:35–11:00 a.m.\nSpeaker 1: Agam Sanghera (UBC)\n\n\n11:05–11:30 a.m.\nSpeaker 2: George Thomas (SFU)\n\n\n11:35 a.m.–12:00 noon\nSpeaker 3: Seren Lee (UBC)\n\n\n12:00 noon–1:00 p.m.\nLunch\n\n\n 1:00–1:25 p.m.\nSpeaker 4: Hashan Peiris (SFU)\n\n\n1:30–1:55 p.m.\nSpeaker 5: Rachel Lobay (UBC)\n\n\n2:00–2:25 p.m.\nSpeaker 6: Hasitha Jayaneththi (SFU)\n\n\n2:25–2:35 p.m.\nBreak\n\n\n2:35–3:35 p.m.\nProfessor Geoff Pleiss (UBC)\nLessons Learned from Developing and Maintaining Open-Source Software\n\n\n3:40 p.m.\nNetworking and Drinks at Browns Crafthouse UBC\n\n\n\n 
URL:https://canssi.ca/events/ubc-sfu-joint-statistics-seminar/
LOCATION:University of British Columbia\, Earth Sciences Building (ESB) 5104\, Vancouver\, British Columbia\, V6T 1Z4\, Canada
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/UBCSFU-Seminar-Spring-2025-Alt-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20241115T074500
DTEND;TZID=America/Vancouver:20241115T153000
DTSTAMP:20260530T155205
CREATED:20241008T190459Z
LAST-MODIFIED:20241113T210201Z
UID:26263-1731656700-1731684600@canssi.ca
SUMMARY:CANSSI Showcase 2024
DESCRIPTION:Date: Friday\, November 15\, 2024\nTime: 7:45 a.m.–3:30 p.m. Pacific time\nLocation: Online \nConnect with the Community\nThe CANSSI Showcase is an annual celebration of the work being done by Canadian statistical sciences researchers\, postdoctoral fellows\, and students—and a chance to connect with Canada’s statistical sciences community. \nCANSSI Showcase 2024 will be held virtually on Friday\, November 15\, 2024. It will be a wonderful opportunity for you to: \n\nHear about the work being done within Canada’s statistical sciences community\nShowcase your research (especially if you are a graduate student\, postdoc\, or early career 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 Hongtu Zhu (University of North Carolina at Chapel Hill)\, 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 a 12-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 \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 \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: “Revolutionizing Medical Data Analysis: Uniting AI and Statistics for Breakthroughs and Challenges”\nSpeaker: Hongtu Zhu (University of North Carolina at Chapel Hill)\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 in Data Science\, Machine Learning\, and AI”\nModerator: Bei Jiang\nPanellists:\n \n\nAlexandre Bouchard (University of British Columbia)\nLinglong Kong (University of Alberta)\nAurélie Labbe (HEC Montréal)\nBhramar Mukherjee (Yale School of Public Health)\nHongtu Zhu (University of North Carolina at Chapel Hill)\n\nSee the panel description below\n\n\n10:45–11:00\nBreak\n\n\n11:00–12:15\nCANSSI Short Talks \n\nMai Ghannam (University of Ottawa): “Block Maxima Methods in Heavy-tailed Heteroskedastic Models”\nKehinde Olobatuyi (University of Victoria): “Multi-event Dynamic Capture-Recapture Model for Big Data: Estimating Undetected COVID-19 Cases in British Columbia\, Canada”\nAlex Sharp (University of British Columbia): Title to come\nRishikesh Yadav (HEC Montréal): “Sparse Spatiotemporal Dynamic Generalized Linear Models for Inference and Prediction of Bike Counts”\n\n\n\n\n12:15–12:30\nBreak\n\n\n12:30–3:15\nLightning Talks \n\nElham Afzali (University of Manitoba)\nPankaj Bhagwat (University of Alberta)\nIlhem Bouderbala (Université Laval)\nForough Fazeli Asl (University of Alberta)\nRajitha Rajitha Senanayake (McMaster University)\nDivya Sharma (York University)\nZheng Yu (University of Calgary)\n\n\n\n\n3:15–3:30\nWrap-up\n\n\n\n\nKeynote Lecture\nRevolutionizing Medical Data Analysis: Uniting AI and Statistics for Breakthroughs and Challenges\n \nAbstract: This talk provides an insightful overview of integrating artificial intelligence (AI) and statistical methods in medical data analysis. It is structured into three key sections: \n\nIntroduction to Medical Image Data Analysis: This section sets the stage by outlining the fundamentals and significance of medical image analysis in healthcare\, charting its evolution and current applications.\nState-of-the-Art AI Applications and Statistical Challenges: Here\, we explore the impact of AI\, particularly deep learning\, on medical imaging\, and address the accompanying statistical challenges\, such as data quality and model interpretability.\nOpportunities for Statisticians: The final section highlights the critical role of statisticians in refining AI applications in medical imaging\, focusing on opportunities for advancing algorithmic accuracy and integrating statistical rigour. The talk aims to demonstrate the crucial synergy between AI and statistics in enhancing medical data analysis\, emphasizing the evolving challenges and the vital contributions of statisticians in this domain.\n\nAbout the Keynote Speaker \nDr. Hongtu Zhu is a tenured professor of biostatistics\, statistics\, radiology\, computer science\, and genetics at University of North Carolina at Chapel Hill. He was DiDi Fellow and Chief Scientist of Statistics at DiDi Chuxing between 2018 and 2020 and was Endowed Bao-Shan Jing Professorship in Diagnostic Imaging at MD Anderson Cancer Center between 2016 and 2018. He is an internationally recognized expert in statistical learning\, medical image analysis\, precision medicine\, biostatistics\, artificial intelligence\, and big data analytics. He has been an elected Fellow of the American Statistical Association and the Institute of Mathematical Statistics since 2011. He received an established investigator award from Cancer Prevention Research Institute of Texas in 2016 and received the INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice in 2019. He has published more than 340 papers in top journals including Nature\, Science\, Cell\, Nature Genetics\, PNAS\, AOS\, JASA\,Biometrika\, and JRSSB\, as well as 55+ conference papers in top conferences including NeurIPS\, AAAI\, KDD\, ICDM\, ICML\, MICCAI\, and IPMI. \nPanel Discussion\nThe Role of Statistics in Data Science\, Machine Learning\, and AI\nAbout the Panellists\n\n\n\n\nAbout Alexandre Bouchard: Alexandre Bouchard is a Professor of Statistics at the University of British Columbia. He received his PhD in computer science from the University of California\, Berkeley. His research focuses on computational Bayesian methods and applications in cancer genomics and phylogenetics.\n\n\n\nAbout Linglong Kong: Dr. Linglong Kong is a professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. He holds a Canada Research Chair in Statistical Learning and a Canada CIFAR AI Chair. He is a fellow of the American Statistical Association (ASA) and a fellow of the Alberta Machine Intelligence Institute (AMII). His publication record includes more than 100 peer-reviewed articles in top journals such as AOS\, JASA\, and JRSSB as well as top conferences such as NeurIPS\, ICML\, ICDM\, AAAI\, and IJCAI. Dr. Kong currently serves as associate editor of the Journal of the American Statistical Association\, the Annals of Applied Statistics\, the Canadian Journal of Statistics\, and Statistics and its Interface. Additionally\, Dr. Kong was a member of the Executive Committee of the Western North American Region of the International Biometric Society\, chair of the ASA Statistical Computing Session program\, and chair of the webinar committee. He served as a guest editor of the Canadian Journal of Statistics and Statistics and its Interface\, associate editor of the International Journal of Imaging Systems and Technology\, guest associate editor of Frontiers of Neurosciences\, chair of the ASA Statistical Imaging Session\, and member of the Statistics Society of Canada’s Board of Directors. He is interested in functional and neuroimaging data analysis\, statistical machine learning\, robust statistics and quantile regression\, trustworthy machine learning\, and artificial intelligence in smart health.\n\n\n\nAbout Aurélie Labbe: Aurélie Labbe is a professor in the Department of Decision Sciences and holder of the FRQ-IVADO Chair in Data Science. She specializes in large-scale data analysis. With a master’s degree in Statistics from Université de Montréal and a PhD in the same discipline from the University of Waterloo\, she has spent over 15 years developing statistical tools for big data with applications in the fields of genomics\, neuroscience\, and biostatistics. Since joining HEC Montréal in 2016\, her research interests have largely focused on the analytical challenges generated by data from intelligent transportation systems. Aurélie Labbe is also active in the community\, as she has been appointed scientific co-director of IVADO since October 2023\, and director of the StatLab at the Centre de Recherche en Mathématiques (CRM) since July 2023.\n\n\n\nAbout Bhramar Mukherjee: Professor Bhramar Mukherjee is currently appointed as Anna M.R. Lauder Professor of Biostatistics and Professor of Chronic Disease Epidemiology at the Yale School of Public Health (YSPH). Professor Mukherjee serves as the inaugural Senior Associate Dean of Public Health Data Science and Data Equity at YSPH. She holds a secondary appointment in the Department of Statistics and Data Science and is affiliated with the MacMillan Center and the Institute for the Foundations of Data Science. She serves on the Yale Cancer Center Director’s cabinet. \nDr. Mukherjees’s research interests span statistical methods for analyzing electronic health records\, gene-environment interaction studies\, data integration\, data equity\, shrinkage estimation\, and the analysis of environmental mixtures. Collaboratively\, she contributes to areas such as cancer\, cardiovascular diseases\, reproductive health\, exposure science\, and environmental epidemiology. With over 390 publications in statistics\, biostatistics\, medicine\, and public health\, Professor Mukherjee is globally recognized for her research contributions in integrating genetic\, environmental and health outcome data. She has served as the Principal Investigator on methodology grants funded by the National Science Foundation (NSF) and the National Institutes of Health (NIH).\n\n\n\nAbout Hongtu Zhu: See the Keynote Lecture section above.\n\n\n\n 
URL:https://canssi.ca/events/canssi-showcase-2024/
CATEGORIES:CANSSI National
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240209T093000
DTEND;TZID=America/Vancouver:20240209T163000
DTSTAMP:20260530T155205
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
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20231117T074500
DTEND;TZID=America/Vancouver:20231117T153000
DTSTAMP:20260530T155205
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;VALUE=DATE:20230803
DTEND;VALUE=DATE:20230805
DTSTAMP:20260530T155205
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230802
DTEND;VALUE=DATE:20230806
DTSTAMP:20260530T155205
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:20260530T155205
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:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230607T120000
DTEND;TZID=America/Vancouver:20230607T140000
DTSTAMP:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230509T153000
DTEND;TZID=America/Vancouver:20230510T163000
DTSTAMP:20260530T155205
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/
CATEGORIES:CANSSI National,CANSSI Ontario
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/tchetgen-talk.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230504T120000
DTEND;TZID=America/Vancouver:20230504T140000
DTSTAMP:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20230217T130000
DTEND;TZID=America/Toronto:20230217T163000
DTSTAMP:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230203T093000
DTEND;TZID=America/Vancouver:20230203T151500
DTSTAMP:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230202T110000
DTEND;TZID=America/Vancouver:20230202T123000
DTSTAMP:20260530T155205
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20230125T100000
DTEND;TZID=America/Vancouver:20230125T120000
DTSTAMP:20260530T155205
CREATED:20220818T032805Z
LAST-MODIFIED:20230207T223344Z
UID:17808-1674640800-1674648000@canssi.ca
SUMMARY:Cultural Humility: A Framework to Mitigate Personal Bias & Techniques to Build Greater Capacity
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. \nWe invite you to join us for this two-hour online workshop led by Sana Loue of Case Western Reserve University School of Medicine. \n  \nWATCH THE WEBINAR RECORDING\n(Use this passcode to access the recording: Canssi-Pims_01.25.23) \nDOWNLOAD THE PRESENTATION SLIDES \n  \nLearning Objective\nParticipants will learn techniques and strategies to increase their own cultural humility and how to apply these techniques and strategies to mitigate the ways that bias shows up in day to day interactions. \nProgram\nWe all have biases that show up in our interactions and perceptions of others. But these biases can be problematic when they are used unconsciously or consciously to judge\, misinterpret\, or limit our interactions with others. How often do you pause and reflect on your social interactions and ask yourself “What did I assume about this person that was not accurate”? By reflecting and holding ourselves accountable for how biases show up in our interactions\, we not only encourage our own personal growth\, but we also create opportunity to fully understand another person’s lived experience. During the first half of this workshop\, you will understand the root cause of your biases and develop a practice that helps mitigate bias in your interactions with others. \nWe’ll use the time in the second half to learn and practice techniques that you can incorporate into your daily routine to help you become a more culturally conscious and sensitive individual. Simply put\, you’ll learn how to integrate the often competing responses from your head and heart. These techniques will help you become more aware of your own biases and how they get triggered in your interactions with others\, maintain better self control in the moment when your biases are triggered\, and cultivate more meaningful growth in yourself as well as in your relationships with others. \nSection 1: Understanding Bias & Cultural Humility\nFirst\, our instructor will help you understand personal bias including how you develop and sustain your biases over time. Next\, you will learn the definition of cultural humility and apply this framework to explore your own biases through two exercises. \nSection 2: Identifying Barriers to Developing Cultural Humility\nWe will discuss and identify possible barriers that prevent you from applying cultural humility in your interactions with others\, including: \n\nRecognizing your personal triggers\nForgiving yourself and others for missteps\nBelieving that you or others can change\n\nSection 3: Applying Cultural Humility\nOur instructor will guide you through a facilitated exercise that will help you foster cultural humility in your daily routine to identify\, analyze\, challenge\, and mitigate your personal biases. \nSection 4: Techniques to Increase Cultural Humility\nYou’ll be introduced to each of the following techniques: journaling\, body scans\, accountability partners\, and mindfulness meditation. You’ll have the opportunity to apply them to a case study and discuss how they can be used to help you reflect and modulate your thoughts and behaviors. \nWorkshop Faculty\nSana Loue\, J.D.\, Ph.D.\, M.P.H.\, M.S.S.A.\, M.A.\, LISW\, CST-T\, AVT\nProfessor in the Department of Bioethics at Case Western Reserve University School of Medicine \nDr. Loue holds secondary appointments in Psychiatry and Global Health at the School of Medicine and in Social Work at the Mandel School of Applied Social Sciences at CWRU. She served as the medical school’s inaugural Vice Dean for Faculty Development and Diversity from 2012–2020. Dr. Loue has been trained in law (JD)\, epidemiology (PhD)\, medical anthropology (PhD)\, social work (MSSA)\, secondary education (MA)\, public health (MPH) and theology (MA) and is ordained as an interfaith minister through the New Seminary in New York and as a Modern Rabbi\, through Rabbinical Seminary International\, also in New York. Her empirical research has focused on HIV risk and prevention\, severe mental illness\, family violence\, and research ethics. \nRead Sana’s full bio here.
URL:https://canssi.ca/events/cultural-humility/
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-Cultural-Humility-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Whitehorse:20221216T120000
DTEND;TZID=America/Whitehorse:20221216T124500
DTSTAMP:20260530T155205
CREATED:20220215T033023Z
LAST-MODIFIED:20230106T043646Z
UID:15948-1671192000-1671194700@canssi.ca
SUMMARY:CANSSI/SSC Cross-Country Tour | The Development of a COVID-19 Self-Assessment Risk Model to Mitigate Case Importation Risk in Yukon
DESCRIPTION:Dr. Lisa Kanary\, Instructor\, Mathematics & Statistics\, School of Business and Leadership\, Yukon University\nHosted by Dr. Joanna Mills Flemming\, CANSSI Associate Director\, Atlantic Region \nNEW DATE!\nFriday\, December 16 | 12:00–12:45 p.m. MT\nYukon University\, Whitehorse\, Yukon\nOn Zoom \n  \nWATCH THE VIDEO RECORDING \n  \nPresentation Abstract: Most travel restrictions imposed during the COVID-19 pandemic applied to all travellers\, regardless of origin of departure or individual behaviour. Such measures do not account for the role that behaviour plays in an individual’s probability of encountering an infectious individual and contracting COVID-19. We present a statistical model\, designed for use in the Yukon Territory\, that estimates an individual’s probability of being a contact of an infectious person as a function of disease prevalence and the daily activities the individual engaged in during the two weeks prior to the date of assessment. Our tool presents a method for estimating contact probability that could be adopted by jurisdictions considering border travel restrictions\, facility closures or group size limits\, or for individuals evaluating their own behaviours. \nAbout Lisa Kanary: Dr. Kanary is an instructor in the School of Business and Leadership at Yukon University in Whitehorse\, Yukon. She also coordinates the Bachelor of Business Administration degree program that Yukon University offers. \nOriginally from Nova Scotia\, Dr. Kanary moved to the Yukon in 2013. Since arriving in the north\, she has spent time in many different areas of the University\, such as instructing in the Schools of Science\, and Academic Skills and Development\, developing the Climate Change certificate\, performing research at the YukonU Research Centre. Wearing many hats at the University has given her a unique perspective of the many avenues and opportunities students can pursue. \nCurrently\, Dr. Kanary’s background is in applied math. She is the primary business statistics knowledge holder and teaches statistics classes in the Bachelor of Business Administration. Lisa infuses her classes with real world experience by partnering students with community groups and industry to work through statistical problems and challenges. Lisa also continues to be active in research as a data scientist and math modeller. She is currently working on math models that pertain to COVID-19 with a number of colleagues locally and around the globe. She is excited to support YukonU research and students on their journey forward.
URL:https://canssi.ca/events/tour-kanary/
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-X-C-Tour-Dec-16-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20221125T074500
DTEND;TZID=America/Vancouver:20221125T163000
DTSTAMP:20260530T155205
CREATED:20220901T203728Z
LAST-MODIFIED:20230727T042358Z
UID:18951-1669362300-1669393800@canssi.ca
SUMMARY:CANSSI Showcase 2022
DESCRIPTION:WATCH A RECORDING OF THE INTRODUCTION AND KEYNOTE LECTURE \nDOWNLOAD THE PRESENTATION SLIDES FOR THE KEYNOTE LECTURE \nWATCH A RECORDING OF THE PANEL DISCUSSION \nWATCH A RECORDING OF PRESENTATIONS BY CANSSI DISTINGUISHED POSTDOCTORAL FELLOWS AND COLLABORATIVE RESEARCH TEAMS \nWATCH A RECORDING OF THE LIGHTNING TALKS \nConnect with the Community\nThe CANSSI Showcase is an annual celebration of the work being done by CANSSI-supported researchers\, postdoctoral fellows\, and students. \nThe CANSSI Showcase 2022 will be held virtually on Friday\, November 25. It will be a wonderful opportunity for you to: \n\nConnect and network with Canada’s statistical and data 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 presentations by our Collaborative Research Teams\, a panel discussion on careers\, lightning talks\, a poster session and social hour\, plus a special keynote address. \nYou’ll leave with new inspiration\, deeper connections\, and a richer understanding of what is happening across Canada. \nShowcase Your Research\nWhether you are a student\, a postdoctoral fellow\, or a faculty member\, the Showcase offers you several ways to present your work. Find the presentation format that fits you and then register as a presenter to save your spot. \nLightning talks (12-minute online presentation slots) \n\nOpen to graduate students\, postdoctoral fellows\, and early-career faculty members\n\nPoster session (online presentation slots) \n\nOpen to undergraduate students\, graduate students\, and postdoctoral fellows\n\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. \nPRESENTER REGISTRATIONS CLOSED \nRegister to Attend\nDon’t miss this chance to connect with the statistical and data sciences community. \nWe’ll even email a FREE $20 Starbucks gift card to everyone who attends the poster session and social hour!* \nREGISTRATIONS CLOSED \n*To receive the gift card\, you will be asked to confirm that you are a student\, faculty member\, or researcher at a CANSSI member university or a government entity or research institute or enterprise in Canada\, and you will be required to submit your email address from this organization after attending the poster session and social hour. \nShowcase Schedule\n(We will add more details as they become available.) \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: “Veridical Data Science with a Case Study to Seek Genetic Drivers of a Heart Disease”\nSpeaker: Bin Yu (University of California\, Berkeley)\nSee the lecture abstract below\n\n\n9:00–9:15\nBreak\n\n\n9:15–10:45\nPanel Discussion: “Current Innovations in Statistics and Data Science in Environmental Statistics”\nPanellists: Charmaine Dean (University of Waterloo)\, Johanna Neslehova (McGill University)\, Will Welch (University of British Columbia)\, and Xuebin Zhang (Environment and Climate Change Canada)\nSee the panel description below\n\n\n10:45–11:00\nBreak\n\n\n11:00–12:15\nTalks by CANSSI Distinguished Postdoctoral Fellows and Collaborative Research Teams \n\nArafeh Bigdeli (Harvard University): “Personalized Risk Assessment in Pediatric Kidney Transplantation Using Metabolomics Data”\nFrancois-Michel Boire (HEC Montreal): “Stochastic Dynamic Programming Under Alternative Processes”\nAlina Selega (Lunenfeld-Tanenbaum Research Institute) “Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows”\nTeresa Tsui (Hospital for Sick Children): “Accounting for Uncertainty in Health Utilities to Inform Cancer Drug Funding Decisions”\nRim Cherif (HEC Montreal): “A Dynamic Program Under Levy Processes for Valuing Corporate Assets”\n\nPresenter bios\n\n\n12:15–1:15\nLunch\n\n\n1:15–3:15\nLightning Talks \n\nDevan Becker (Wilfrid Laurier University): “Variants of Concern from Wastewater Samples: Challenges and Opportunities”\nMd Erfanul Hoque (University of Manitoba): “A Heterogeneous Random Effects Covariance Matrix in Longitudinal Data with Missing Responses and Mismeasured Covariates”\nInesh Prabuddha (University of Manitoba): “Bayesian Hierarchical Models with Applications in Fisheries Ecology”\nYou Liang (Toronto Metropolitan University): “Long-Term Interval Forecasts of Demand using Data-Driven Dynamic Regression Models”\nSulalitha Bowala Mudiyanselage (University of Manitoba): “Optimizing Portfolio Risk of Cryptocurrencies Using Data-Driven Risk Measures”\nSihaoyu Gao (UBC): “Nonlinear Mixed-Effects Models for HIV Viral Load Trajectories Before and After Antiretroviral Therapy Interruption\, Incorporating Left Censoring” \nQian Ye (UBC): “Joint Mean-Variance Inference for Nonlinear Mixed-Effects Models with Measurement Errors and Outliers”\nNaitong Chen (UBC) WITHDRAWN\nMarc Parsons (McGill University): “A Comparison of Flexible Covariate Parametrizations for Estimating Non-linear Interactions in a Cox Proportional Hazards Model” \nHaihan Xie (University of Alberta): “Differentially Private Regularized Stochastic Convex Optimization with Heavy-tailed Data”\nJinhan Xie (University of Alberta): “Statistical Inference for Smoothed Quantile Regression with Streaming Data”\nJames McVittie (University of Regina): “Survival Analysis Methods for Combined Cohort Data”\nJapjeet Singh (University of Manitoba): “Data-Driven Risk Forecasting Models for Cryptocurrencies”\n\nPresenter bios\n\n\n3:15–4:30\nPoster Session and Social Hour: Gather.Town \n\nXuankang Zhu (Simon Fraser University)\nMasudul Islam (University of Manitoba)\nJiaqi Li (University of Alberta)\nAzizur Rahman (University of Manitoba)\nJames McVittie (University of Regina)\nSulalitha Bowala Mudiyanselage (University of Manitoba)\n\nPresenter bios\n\n\n\nKeynote Lecture\nVeridical Data Science with a Case Study to Seek Genetic Drivers of a Heart Disease \n“AI is like nuclear energy—both promising and dangerous.” – Bill Gates\, 2019. \nData Science is a pillar of artificial intelligence (AI) and has driven most recent cutting-edge discoveries in biomedical research and beyond. Human judgement calls are ubiquitous at every step of a data science life cycle\, e.g.\, in choosing data cleaning methods\, predictive algorithms and data perturbations. Such judgement calls are often responsible for the “dangers” of AI. \nTo maximally mitigate these dangers\, we introduce in this talk a framework based on three core principles: Predictability\, Computability and Stability (PCS). The PCS framework unifies and expands on the best practices of machine learning and statistics. PCS emphasizes reality check through predictability and takes a full account of uncertainty sources in the whole data science life cycle\, including those from human judgment calls such as those in data curation/cleaning. PCS consists of a workflow and documentation and is supported by our software package v-flow. Next we illustrate the usefulness of PCS in development of iterative random forests (iRF) for predictable and stable non-linear interaction discovery (in collaboration with the Brown Lab at LBNL and Berkeley Statistics). Finally\, in the pursuit of genetic drivers of a heart disease called hypertrophic cardiomyopathy (HCM) as a CZ Biohub project in collaboration with the Ashley Lab at Stanford Medical School and others\, we use iRF and UK Biobank data to recommend gene-gene interaction targets for knock-down experiments. We then analyze the experimental data to show promising findings about genetic drivers of HCM. \nAbout Bin Yu: Bin Yu is Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the departments of Statistics and of Electrical Engineering and Computer Sciences (EECS) at the University of California\, Berkeley. She leads the Yu Group\, which consists of 15–20 students and postdocs from Statistics and EECS. Formally trained as a statistician\, her research extends beyond the realm of statistics. Together with her group\, her work has leveraged new computational developments to solve important scientific problems. This is done by combining novel statistical machine learning approaches with the domain expertise of her many collaborators in neuroscience\, genomics and precision medicine. \nShe and her team develop relevant theories to understand random forests\, including deep learning for insight and guidance for practices. \nShe is a member of the U.S. National Academy of Sciences and of the American Academy of Arts and Sciences. Other past accomplishments include: \n\nPresident of the Institute of Mathematical Statistics (IMS)\nGuggenheim Fellow\nTukey Memorial Lecturer of the Bernoulli Society\nRietz Lecturer of IMS\nA COPSS E.L. Scott prize winner\n\nCurrently\, she is serving on the editorial board of Proceedings of the National Academy of Sciences (PNAS) and the scientific advisory committee of the UK The Alan Turing Institute for data science and AI. \nPanel Discussion\nCurrent Innovations in Statistics and Data Science in Environmental Statistics \nObjective: To share cutting-edge statistical methodology for environmental statistics and the role of research collaborations in the development of these innovations. \nThe primary goal of the Showcase is providing a venue for young researchers to share their research with the statistical community\, to highlight the achievements of young researchers\, and to provide information useful for young researchers in terms of establishing a career. The Panel is a major event of the Showcase that draws a lot of interest. \nAbout Charmaine Dean: Dr. Charmaine B. Dean (Ph.D.\, University of Waterloo) is Vice-President\, Research and International\, at the University of Waterloo. In this role\, she provides leadership in the areas of research and innovation\, commercialization\, and internationalization. She is also responsible for building strategic alliances and partnerships with other academic institutions\, governments\, businesses\, and industries at the domestic and international levels. \nSeveral key portfolios are managed by her office\, including the university-level Centres and Institutes and several major industrial partnerships spanning various units in the university. She has drawn a focus to ethics and social impact related to technology developments through various initiatives and is a key driver for equity and diversity in the context of research and internationalization. \nPrior to joining the University of Waterloo\, Dr. Dean served as the Dean of Science at Western University from 2011 to 2017. She also played a major role in establishing the Faculty of Health Sciences at Simon Fraser University\, as the Associate Dean of that Faculty\, and was the founding Chair of the Department of Statistics and Actuarial Science at Simon Fraser University. \nDr. Dean has led several other organizations (e.g.\, Statistical Society of Canada)\, has served on others (e.g.\, Natural Sciences and Engineering Research Council of Canada)\, and received numerous awards for her work (e.g.\, the CRM-SSC prize\, FAAAS\, FASA\, FIMS). \n\nAbout Johanna Neslehova: Johanna G. Nešlehová is a Professor of Statistics in the Department of Mathematics and Statistics at McGill University\, Montréal\, Canada. Her current research interests lie in extreme-value analysis\, causal inference\, and dependence modelling with applications in climate science\, hydrology and risk management. \nShe is an Elected Member of the International Statistical Institute and a Fellow of the Institute of Mathematical Statistics. She is the recipient of the 2019 CRM-SSC Prize in Statistics and McGill’s 2019 Carrie M. Derick Award for Graduate Supervision and Teaching. She is Editor-in-Chief of The Canadian Journal of Statistics\, and serves as Québec Representative on the Board of Directors of the Statistical Society of Canada as well as as an ordinary Council Member of the Bernoulli Society. \nAbout Will Welch: Will Welch joined the Department of Statistics\, University of British Columbia\, as a Professor in 2003\, and was Head of Department from 2003 until 2008 and Interim Head August–December 2018.  Prior to that he was at the University of Waterloo for 16 years.  He also holds the honorary title of Visiting Professor in the Business School\, Loughborough University\, UK. \nWelch’s research spans computer-aided design of experiments\, quality improvement\, the design and analysis of computer experiments\, statistical methods for drug discovery\, machine/statistical learning\, and environmental applications.  Please see https://scholar.google.com/citations?user=Bus4Xi8AAAAJ&hl=en.  The work on environmental applications includes two CANSSI collaborative research teams.  He has won the American Statistical Association’s Statistics in Chemistry Prize and is a Fellow of the American Statistical Association. \nWelch has served on the editorial boards of Annals of Applied Statistics\, Canadian Journal of Statistics\, and SIAM/ASA Journal on Uncertainty Quantification. He has also served as President of the Business and Industrial Statistics Section of the Statistical Society of Canada and as Associate Director of the Canadian Statistical Sciences Institute (CANSSI). \nAbout Xuebin Zhang: Dr. Xuebin Zhang is Senior Research Scientist with Climate Research Division\, Environment and Climate Change Canada. His main research interest is the understanding of how and why the climate\, in particular its extreme weather and climate events\, has changed over the past century and how it is likely to change in the future. He works closely with the users of climate information. He is a Fellow of the Royal Society of Canada. He serves as Editor-in-Chief for the journal Weather and Climate Extremes. He served as a coordinating lead author for the chapter on Weather and Climate Extreme Events in a Changing Climate of the IPCC 6th Assessment WGI Report\, and he was also a lead author for the IPCC Special Report on managing the risks of extreme events and the 5th Assessment Working Group I Report. He led the assessment on changes in temperature and precipitation for Canada’s Changing Climate Report. \n\n  \n 
URL:https://canssi.ca/events/showcase-2022/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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DTSTART;TZID=America/Toronto:20221118T120000
DTEND;TZID=America/Toronto:20221118T124500
DTSTAMP:20260530T155205
CREATED:20221018T050138Z
LAST-MODIFIED:20221125T035706Z
UID:19684-1668772800-1668775500@canssi.ca
SUMMARY:CANSSI/SSC Cross-Country Tour | Visualization as a Diagnostic Tool for Estimands with Pairwise Matching of Multiple Treatments
DESCRIPTION:Dr. Gabrielle Simoneau\, Senior Principal Biostatistician\, Biogen Digital Health\nHosted by Dr. Joanna Mills Flemming\, CANSSI Associate Director\, Atlantic Region \nFriday\, November 18 | 12:00–12:45 p.m. ET\nBiogen Digital Health\, Montreal\nOn Zoom \n  \nThis event is past. WATCH THE VIDEO RECORDING \n  \nPresentation Abstract: Propensity score matching is among the most popular confounding adjustment methods for comparative effectiveness research in non-randomized settings\, and these methods are increasingly being used for comparisons of more than two treatments. When pairwise matching is applied to estimate treatment effects for multiple pairs of treatments\, the underlying target population changes across the comparisons. This is attributable to the differences in covariate distributions across treatment groups. Consequently\, this results in different treatment effect interpretations for the different underlying populations across the multiple pairwise comparisons. The interpretation of treatment effect estimates in relation to the matching (i.e.\, the target estimand) is rarely clarified and consequently might lead to erroneous conclusions about real-world effectiveness of different treatments. Based on empirical research\, we illustrate that multiple pairwise matching for the investigation of comparative effectiveness of more than two treatments can lead to targeting different estimands. We propose visualization tools to illustrate the problem and clarify the connection between estimand\, target population and pairwise matching to avoid misinterpretations and treatment decision-making errors in clinical practice. \nAbout Gabrielle Simoneau: Dr. Gabrielle Simoneau obtained her PhD in Biostatistics from McGill University in 2019 under the supervision of Drs. Erica Moodie and Robert Platt. In early 2020\, she joined Biogen\, a biotechnology company in neurosciences\, as a biostatistician in a group focused on analytics and methodological innovations for real-world evidence. Her current responsibilities include methods and strategies for comparative effectiveness research\, precision medicine\, and digital health data.
URL:https://canssi.ca/events/tour-simoneau/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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DTSTART;TZID=America/Vancouver:20221114T120000
DTEND;TZID=America/Vancouver:20221114T140000
DTSTAMP:20260530T155205
CREATED:20220818T031553Z
LAST-MODIFIED:20221117T072827Z
UID:17793-1668427200-1668434400@canssi.ca
SUMMARY:Addressing Conflicts Related to Bias\, Privilege\, and Identity in the STEM Fields
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and educational sessions for the statistical sciences community\, often in partnership with Academic Impressions. \nWe invite you to join us for this two-hour online led by Chandani Patel of New York University and co-presented by the Pacific Institute for the Mathematical Sciences (PIMS). \n  \nThis event is over. WATCH THE WEBINAR RECORDING. \n  \nLearning Objective\nAfter participating in this program\, participants will have more confidence in their ability to address conflicts related to bias\, privilege and identity in a variety of settings\, including learning spaces\, academic units\, the classroom\, and research labs. \nProgram\nFaculty in the STEM disciplines can often feel unprepared to address identity based conflict in academic settings. Even those who want to have tough conversations regarding identity\, bias\, and privilege can feel inadequately equipped to facilitate a conversation when a conflict arises. You may be asking yourself: What if I say something wrong? What if I make things worse? \nNo matter the discipline\, these crucial conversations are coming up in every learning space across higher ed and avoiding them is not an option. Every instructor can prepare to notice identity based conflict and intervene to reduce harm. This highly interactive virtual workshop will provide a supportive space to learn about the types of conflict that can arise\, and how to facilitate micro interventions to confront bias and move towards more equitable learning\, teaching\, and research environments. \nThe content will be tailored to faculty working in STEM fields who want to feel more prepared to address identity based conflicts that arise in their classrooms. \nUnderstanding Types of Identity-Based Conflict\nLearn about five types of identity based challenges and how they might present themselves in various settings: \n\nImplicit bias\nMicroaggressions\nStereotyping\nTokenism\nOnly-ness\n\nStrategies to Intervene\, Facilitate conversations\, and Reduce Harm\nAfter learning strategies to respond to identity based conflicts\, attendees will have the opportunity to discuss their own experiences\, ask questions\, receive feedback\, and prepare to intervene in future conflicts. \nWorkshop Faculty\nChandani Patel\nDirector\, Global Diversity Education\, Office of Global Inclusion\, Diversity\, and Strategic Innovation\, New York University \nChandani provides strategic direction for the global diversity education area within the Office of Global Inclusion\, Diversity\, and Strategic Innovation. She focuses particularly on creating inclusive teaching and learning environments for students\, faculty\, and staff and is committed to advancing a more equitable higher education landscape. \nRead Chandani’s full bio here.
URL:https://canssi.ca/events/addressing-conflicts/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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DTSTART;TZID=America/Toronto:20221014T120000
DTEND;TZID=America/Toronto:20221014T124500
DTSTAMP:20260530T155205
CREATED:20220806T001956Z
LAST-MODIFIED:20230712T184705Z
UID:17497-1665748800-1665751500@canssi.ca
SUMMARY:CANSSI/SSC Cross-Country Tour | The Role of Statisticians and Statistical Thinking in the Pandemic Era
DESCRIPTION:Dr. Lehana Thabane\, Vice-President of Research at St Joseph’s Healthcare—Hamilton; Scientific Director of the Research Institute at St Joseph’s Healthcare; Professor of Biostatistics and Former Interim Chair/Associate Chair of the Department of Health Research Methods\, Evidence\, and Impact at McMaster University\nHosted by Dr. Joanna Mills Flemming\, CANSSI Associate Director\, Atlantic Region \nFriday\, October 14 | 12:00–12:45 p.m. ET\nMcMaster University\, Hamilton\, Ontario\nOn Zoom \n  \nThis event is past. WATCH THE VIDEO RECORDING \n  \nPresentation Abstract: COVID-19 has been the biggest challenge of our lifetime so far. “Statistical thinking” in health is about advancing the welfare or health of society through research—optimal use of information to plan\, diagnose\, prevent\, treat\, and manage health conditions. One of the key roles of a statistician is to support the design of primary studies to generate the evidence\, and systematic reviews synthesizing the evidence to guide policy. Like all scientists\, when the pandemic hit\, I had to pivot my own research to focus on it. I will share my involvement in several COVID-19 research collaborations: \n\nWhat the purpose of the project was\nWhat the key findings were (if available)\nWhat lessons I learnt from these collaborations\n\nAbout Lehana Thabane: Dr. Lehana Thabane is a Vice-President of Research at St Joseph’s Healthcare—Hamilton; Scientific Director of the Research Institute at St Joseph’s Healthcare; Professor of Biostatistics and Former Interim Chair/Associate Chair of the Department of Health Research Methods\, Evidence\, and Impact at McMaster University. He is an Elected Member of the International Statistical Institute\, Fellow of the American Statistical Association\, Fellow of the Society for Clinical Trials\, Fellow of the Canadian Academy of Health Sciences\, and Honorary Foreign Associate Member of the Academy of Science of South Africa. He is the current President of the Society for Clinical Trials for 2022–2023. He is the Editor-in-Chief of the journal Pilot and Feasibility Studies; and he is a member of the editorial board for many journals including Trials\, and Clinical Trials. With an h-index > 100\, Dr. Thabane has co-authored over 1\,000 peer-reviewed manuscripts and mentored over 200 MSc/PhD students.
URL:https://canssi.ca/events/tour-thabane/
CATEGORIES:CANSSI National
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DTSTART;TZID=America/Vancouver:20220511T090000
DTEND;TZID=America/Vancouver:20220511T110000
DTSTAMP:20260530T155205
CREATED:20220818T035335Z
LAST-MODIFIED:20220901T222519Z
UID:17824-1652259600-1652266800@canssi.ca
SUMMARY:CANSSI Townhall on Student Evaluations of Teaching
DESCRIPTION:Philip B. Stark\, Distinguished Professor of Statistics at the University of California (UC)\, Berkeley\, has had an enormous impact on the way student evaluations of teaching are—and aren’t—used to measure teaching effectiveness. On Wednesday\, May 11\, 2022\, from 9:00 to 11:00 a.m. PST\, Dr. Stark will be the guest speaker at an online “CANSSI Townhall on Student Evaluations of Teaching\,” moderated by CANSSI director Don Estep. \nWatch the webinar recording \nShared resources from the event \n\nPresentation slides (Philip B. Stark)\nNotes on Student Evaluations of Teaching (Philip B. Stark)\nPeer Review of Course Instruction (Berkeley Center for Teaching & Learning)\nAn Evaluation of Course Evaluations (ScienceOpen.com)\nGendered Language in Teacher Reviews (benschmidt.org)\nReport of the OCUFA Student Questionnaires on Courses and Teaching Working Group (Ontario Confederation of University Faculty Association)\n\nPresentation abstract\nStudent evaluations of teaching (SET) are widely used in academic personnel decisions as a measure of teaching effectiveness. The way SET are used is statistically unsound\, but worse\, SET are biased and unreliable. Observational evidence shows that student ratings vary with instructor gender\, ethnicity\, and attractiveness; with course rigour\, mathematical content\, and format; and with students’ grade expectations. Experiments show that the majority of student responses to some objective questions can be demonstrably false. A recent randomized experiment shows that giving students cookies increases SET scores. Randomized experiments show that SET are negatively associated with objective measures of teaching effectiveness and biased against female instructors by an amount that can cause more effective female instructors to get lower SET than less effective male instructors. Gender bias also affects how students rate objective aspects of teaching. It is not possible to adjust to the bias\, because it depends on many factors\, including course topic and student gender. Students are uniquely situated to observe some aspects of teaching\, and students’ opinions matter. But for the purposes of evaluating and improving teaching quality\, SET are biased\, unreliable\, and subject to strategic manipulation. Reliance on SET for employment decisions disadvantages protected groups and may violate federal law. For some administrators\, risk mitigation might be a more persuasive argument for ending reliance on SET for employment decisions than appeals to equity: union arbitration and civil litigation over institutional use of SET are on the rise. Several major universities in the U.S. and Canada have already de-emphasized\, substantially re-worked\, or abandoned reliance on SET for personnel decisions. \nAbout the speaker\nPhilip B. Stark is Distinguished Professor of Statistics at the University of California\, Berkeley. Dr. Stark works on inference\, inverse problems\, multiplicity\, nonparametrics\, optimization\, restricted parameters\, sampling with applications including astrophysics\, cosmology\, ecology\, elections\, geophysics\, health\, legislation\, litigation\, marketing\, physics\, public policy\, risk assessment and control\, and uncertainty quantification. He has been awarded a number of honours\, including Fellow of the Institute of Physics and Fellow of the American Statistical Association. Dr. Stark has served as Department Chair and Associate Dean of the Division of Mathematical and Physical Sciences at UC Berkeley.
URL:https://canssi.ca/events/setc/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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DTSTART;TZID=America/Vancouver:20220411T090000
DTEND;TZID=America/Vancouver:20220411T120000
DTSTAMP:20260530T155205
CREATED:20220818T033825Z
LAST-MODIFIED:20220818T034333Z
UID:17811-1649667600-1649678400@canssi.ca
SUMMARY:Get Comfortable Being Uncomfortable: Engaging in Dialogue About Race & Bias
DESCRIPTION:Workshop held on Monday\, April 11\, 2022 \nThis workshop was co-sponsored by CANSSI and the Pacific Institute for the Mathematical Sciences (PIMS). The session was led by Dr. Sandra Miles of Academic Impressions. \nResources from the workshop: \n\nSlide deck from workshop (23 slides\, PDF format)\nVirtual training workbook on racial bias (PDF format)
URL:https://canssi.ca/events/get-comfortable-being-uncomfortable/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20220302T120000
DTEND;TZID=America/Vancouver:20220302T140000
DTSTAMP:20260530T155205
CREATED:20220822T205029Z
LAST-MODIFIED:20220822T205029Z
UID:17820-1646222400-1646229600@canssi.ca
SUMMARY:Cultural Competence
DESCRIPTION:Workshop held Wednesday\, March 2\, 2022 \nThis workshop was presented by the Canadian Centre for Diversity and Inclusion (CCDI). It introduced the concept of cultural competence and provided strategies to help participants increase their self-awareness and awareness of other cultures. It also outlined what workplaces can do to increase cultural competence for more inclusive and productive workplaces. \nCultural competence is the ability to understand\, communicate with and effectively interact with people across cultures. Cultural competence encompasses being aware of one’s own worldview while gaining knowledge of different cultural practices and worldviews.
URL:https://canssi.ca/events/cultural-competence/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:CANSSI National
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