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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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Winnipeg:20250425T083000
DTEND;TZID=America/Winnipeg:20250425T170000
DTSTAMP:20250407T235700Z
CREATED:20250225T045417Z
LAST-MODIFIED:20250407T235700Z
UID:27407-1745569800-1745600400@canssi.ca
SUMMARY:CANSSI Prairies Workshop: Processing and Forecasting with Epidemic Surveillance Data
DESCRIPTION:Date: Friday\, April 25\, 2025\nTime: 8:30 a.m.–5:00 p.m.\nPlace: Hybrid (in person and on Zoom); University of Manitoba\, Fort Garry Campus\, Armes Building\, Room 200 \nWorkshop Description\nThis one-day workshop on “Processing and Forecasting with Epidemic Surveillance Data\,” led by Daniel J. McDonald\, Professor of Statistics at the University of British Columbia\, is the third in the CANSSI Prairies Workshop Series in Data Science. We invite you to join us either in person or online. \nProfessor McDonald outlines his presentation as follows: \n“In this workshop\, I will demonstrate how to use R to load\, process\, inspect\, and forecast aggregate epi surveillance data. I will be presenting a few case studies to motivate the entire pipeline from signal discovery to the production of nowcasts and forecasts. The focus will be on aggregate signals (not line list data)\, such as the counts of new hospitalizations per day per location. I will highlight three software packages our group is developing to aid in these tasks: epidat(r/py) for data acquisition\, epiprocess for signal processing and exploration\, and epipredict for producing forecasts. The sessions will include interactive worksheets and labs for hands-on practice. By the end\, attendees will be equipped to produce forecasts for submission to the Canadian Respiratory ForecastHub.” \nProgram Schedule\n\nData Access\, Versioning\, and Revisions\nNowcasting\nRt Estimation\, Renewal Equations and Compartmental Models\nForecasting and Ensembling\n\nCost and Registration\n\nStudents: $30\nNon-students: $50\n\nREGISTER ON EVENTBRITE \nAbout the Speaker\nDaniel J. McDonald is Associate Professor of Statistics at the University of British Columbia in Vancouver. Before joining UBC\, he spent 8 years on the faculty at Indiana University\, Bloomington. Daniel did his undergraduate studies at Indiana University where he received a Bachelor of Science in Music with a concentration in cello performance from the Jacobs School of Music and a Bachelor of Arts in economics and mathematics. He received his PhD in Statistics in 2012 from Carnegie Mellon University\, and his dissertation was awarded the Umesh Gavasakar Memorial Thesis Award. In 2017\, he was a recipient of the Indiana University Trustees Teaching Award. In 2018\, he received a National Science Foundation CAREER award. \nDaniel’s methodological research involves the estimation and quantification of prediction risk\, especially for complex dependent data. This includes the application of statistical learning techniques to time series prediction problems\, as well as investigations of cross-validation for risk estimation. To promote adoption of these methods\, he prioritizes open-source software development in R and lower-level languages\, with packages available on CRAN\, GitHub\, and Bioconductor. On the applied side\, previous work focussed on applications in economics\, engineering\, neuroscience and atmospheric science. Current work examines methods for understanding and modelling epidemiological data\, especially forecasting\, nowcasting\, and software development with Carnegie Mellon University’s Delphi Research Group. \n\nAbout the Series\nThe CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions\, participants have the opportunity to explore new topics\, learn cutting-edge techniques\, and connect with experts in the field.
URL:https://canssi.ca/events/canssi-prairies-mcdonald/
LOCATION:University of Manitoba (Fort Garry Campus)\, 66 Chancellors Circle\, Winnipeg\, Manitoba\, R3T 2N2\, Canada
CATEGORIES:CANSSI Prairies
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Prairies-Workshop-April-2025.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250410T130000
DTEND;TZID=America/Toronto:20250410T140000
DTSTAMP:20250416T010447Z
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/
LOCATION:Manitoba
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/NISS-CANSS-CoLab-Apr-10-EN-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20250404T120000
DTEND;TZID=America/Halifax:20250404T130000
DTSTAMP:20250326T191443Z
CREATED:20250317T174132Z
LAST-MODIFIED:20250326T191443Z
UID:27560-1743768000-1743771600@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: MURPH: Generating Reproducible Ecological Research Through Accessible Data Management and Communication Practices
DESCRIPTION:Date: Friday\, April 4\, 2025\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: Room 137\, Huggins Science Hall\, Acadia University\, and on Zoom \nJoin Us\nThis talk will be presented by Paige Levangie\, an MSc student in the Department of Biology at Acadia University in Nova Scotia. It’s the sixth and final event in this year’s Atlantic Canada Data Science Tour\, a hybrid seminar series organized by CANSSI Atlantic and geared toward upper-level undergraduates in statistics or computer science programs. The host will be Hugh Chipman\, Professor in the Department of Mathematics and Statistics at Acadia University. \nWe invite you to join us in person or online! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nPresentation Abstract\nThe introduction of research data management policy in Canada and subsequent data management plans attempt to provide more standard approaches to conducting and communicating research data to ensure that it is FAIR: (1) Findable\, (2) Accessible\, (3) Interoperable\, and (4) Reusable. Globally\, the emergence of the FAIR principles promotes the use of open access research tools to help format\, analyze\, and communicate research data. Making research data available is a crucial component to current research data management policy that requires researchers to upload research data to online repositories like OBIS\, GBIF\, and Dataverse. These repositories each have differing data standards (e.g.\, the Darwin Core Archive) that can be confusing to understand and use. In addition to data formats and storage\, coding languages like R and accompanying interface software RStudio are popular and used to analyze and visualize data within many disciplines including ecology\, yet require training and expertise. The increasing popularity of Large Language Models like ChatGPT and CoPilot to help create code to solve complex problems complicates the ability to provide detailed and accurate user prompts and contributes to researchers being undertrained and/or overconfident in their research data management abilities. \nCurrent infrastructure for research data management tools is not equipped to address the growing variety in data formats and types within different ecological fields. Researchers are not equipped or trained with the proper skills and attempt to meet research data management policy requirements after the fact. This causes most ecological research to lack reproducibility and limits accessibility. To combat a lack of understanding in data formatting and coding skills\, an open access free interactive tool\, MURPH\, was created to allow researchers to upload research data and produce various outputs. These outputs will allow users to reformat research data into OBIS format (using Darwin Core standards)\, and produce plots\, tables\, and maps. Users receive outputs and code used to generate them outside of the tool\, which serves as a guide for future work. Overall\, this tool is aimed to increase the knowledge\, education\, and understanding of research data management and communication practices in ecological research as they are made to be accessible\, interactive\, reproducible\, and presented in formats that are broadly understood by online repositories. \nAbout the Presenter\nPaige Levangie is from West Hants\, Nova Scotia\, and has attended Acadia University since 2021. She completed her Bachelor of Science Honours at Queen’s University and moved back home to start her master’s immediately after graduation. She is passionate about open research\, data management\, and coding in R. Outside of school\, Paige spends most of her time curling\, hanging out with her dogs\, or cheering on her husband’s tug-of-war team.
URL:https://canssi.ca/events/atlantic-tour-murph/
LOCATION:Acadia University\, 15 University Avenue\, Wolfville\, Nova Scotia\, B4P 2R6\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Atlantic-Tour-Apr-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20250404T103000
DTEND;TZID=America/Vancouver:20250404T120000
DTSTAMP:20250317T185206Z
CREATED:20250312T043357Z
LAST-MODIFIED:20250317T185206Z
UID:27501-1743762600-1743768000@canssi.ca
SUMMARY:CANSSI SSC and 2025 Van Eeden Seminar: From Diffusion Models to Schrödinger Bridges—When Generative Modeling Meets Optimal Transport
DESCRIPTION:Date: Friday\, April 4\, 2025\nTime: 10:30–12:00 Pacific time\nLocation: Online or in person at the Earth Sciences Building (ESB) 5104\, 2207 Main Mall\, University of British Columbia\, Vancouver\, B.C. \nJoin Us\nThis special event represents a convergence of the CANSSI SSC Seminar on Innovations in Statistics and Data Science and the Constance van Eeden Seminar\, an annual event held at the University of British Columbia. \nThe CANSSI SSC Seminar is a new series co-sponsored by CANSSI and the Statistical Society of Canada (SSC) that brings distinguished researchers in statistical sciences to CANSSI member universities across Canada. The series promotes interactions between leading researchers and statistical sciences faculty members and students\, particularly at smaller institutions. \nThe Constance van Eeden seminar is a yearly event in which graduate students from the University of British Columbia (UBC)’s Department of Statistics vote for their favourite statisticians. The winner is contacted by the organizing committee and invited to give a talk in the department’s seminar. The speaker spends one or two days on campus\, and graduate students have the opportunity to have lunch and dinner with them. \nRegistration\nTo register for online or in-person participation\, visit the event web page. \nAbout This Year’s Speaker\nThis year’s speaker is Dr. Arnaud Doucet\, Professor of Statistics at the University of Oxford and Senior Staff Research Scientist at Google DeepMind. Dr. Doucet’s research interests lie in the development and analysis of efficient computational methods for inference and learning\, machine learning\, signal processing\, and related areas. \nHis talk is titled “From Diffusion Models to Schrödinger Bridges—When Generative Modeling Meets Optimal Transport.” \n  \nPresentation Abstract\nDenoising diffusion models have revolutionized generative modeling. Conceptually\, these methods define a transport mechanism from a noise distribution to a data distribution. Recent advancements have extended this framework to define transport maps between arbitrary distributions\, significantly expanding the potential for unpaired data translation. However\, existing methods often fail to approximate optimal transport maps\, which are theoretically known to possess advantageous properties. In this talk\, we will show how one can modify current methodologies to compute Schrödinger bridges—an entropy-regularized variant of dynamic optimal transport. We will demonstrate this methodology on a variety of unpaired data translation tasks.
URL:https://canssi.ca/events/canssi-ssc-2025-van-eeden-seminar/
LOCATION:University of British Columbia\, Earth Sciences Building (ESB) 5104\, Vancouver\, British Columbia\, V6T 1Z4\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-SSC-Van-Eeden-2025-v1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250320T130000
DTEND;TZID=America/Toronto:20250320T140000
DTSTAMP:20250319T234607Z
CREATED:20250219T210850Z
LAST-MODIFIED:20250319T234607Z
UID:27308-1742475600-1742479200@canssi.ca
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/
LOCATION:Manitoba
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/NISS-CANSS-CoLab-Mar-20-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250314T103000
DTEND;TZID=America/Toronto:20250314T143000
DTSTAMP:20250312T184155Z
CREATED:20241216T215802Z
LAST-MODIFIED:20250312T184155Z
UID:26868-1741948200-1741962600@canssi.ca
SUMMARY:CANSSI Quebec 2025 Stats in a Flash Competition
DESCRIPTION:Event date: Friday\, March 14\, 2025\nEntry deadline: Friday\, March 7\, 2025\nTime: 10:30 a.m.–2:30 p.m. ET\nLocation: Hall Building\, Room H-1220\, Concordia University\, Montreal\, Quebec\, and on Zoom \nCould you present your statistics research in three minutes? \nThat’s the challenge facing participants in CANSSI Quebec’s second annual Stats in a Flash: 180-Second Thesis Competition. \nThis year’s event has a twist: In addition to the regular competition for master’s and PhD students\, there will be a new non-competitive section for Quebec faculty members willing to take up the challenge of presenting their statistics research while taking the opportunity to discuss potential openings in their research groups. \nInterested in participating? See the instructions below. \nInterested in watching in person or online? Register as an attendee on Eventbrite. \nUse this Zoom link to watch the event. \nHow It Works\nGraduate Students\nThe Stats in a Flash competition is designed to promote academic excellence as well as to foster effective communication and presentation skills. It provides a unique platform for participants to showcase their research and enhance their communication abilities within the statistical sciences community. \n\nThe student competition is open to full-time master’s and PhD students in thesis-based statistical sciences programs at Quebec universities.\nParticipants deliver a three-minute presentation based on their primary research with the help of a single PowerPoint slide. The presentations may be done in either French or English.\nAll presentations must be delivered in person\, and all participants agree to be photographed and digitally recorded and to allow any recordings to be made public.\nA panel of judges evaluates the presentations based on communication\, comprehension\, and engagement.\n\nPrizes of $500\, $250\, and $125 will be awarded for the top presentations\, and there will also be a special Audience Choice Prize of $125. \nFor the full rules and regulations\, read this PDF document. \nTo enter the Stats in a Flash competition\, register as a student presenter on Eventbrite. \nFaculty Members\nFor 2025\, the event will include a separate non-competitive session in which faculty members from Quebec universities are invited to use the same format—a three-minute talk with one PowerPoint slide—to present their statistical sciences research. Faculty participants will also be given time (over and above the three minutes!) to discuss potential openings in their research groups. \nTo participate as a faculty member\, register as a faculty presenter on Eventbrite. \nSchedule\n10:30–11:30 a.m. | Faculty presentations \n11:30 a.m.–12:30 p.m. | Complimentary lunch for participants and attendees \n12:30–2:00 p.m. | Student presentations \n2:15 p.m. | Distribution of prizes
URL:https://canssi.ca/events/canssi-quebec-2025-stats-in-a-flash-competition/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:CANSSI Quebec
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Quebec-Stats-Flash-2025-EN-2.png
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20250308T100000
DTEND;TZID=America/Vancouver:20250308T153500
DTSTAMP:20250303T200442Z
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
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20250307T120000
DTEND;TZID=America/Halifax:20250307T130000
DTSTAMP:20250220T232902Z
CREATED:20250214T064450Z
LAST-MODIFIED:20250220T232902Z
UID:27297-1741348800-1741352400@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: Mediation Analysis of Recurrent Events
DESCRIPTION:Date: Friday\, March 7\, 2025\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: On Zoom\, live from Memorial University of Newfoundland \nThis talk will be presented by Shenita Pramij\, a PhD student in the Department of Mathematics and Statistics at Memorial University of Newfoundland. It’s the fifth event in the Atlantic Canada Data Science Tour\, a hybrid seminar series organized by CANSSI Atlantic and geared toward upper-level undergraduates in statistics or computer science programs. The host will be Yildiz Yilmaz\, Associate Professor of Statistics in the Department of Mathematics and Statistics at Memorial University. \nThis event will be online only\, live from Memorial University of Newfoundland. We invite you to join us! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nPlease note that this talk will begin at noon Atlantic time (not Newfoundland time). \nAbout the Presentation\nInferring the direct effects of exposure in recurrent event processes\, while accounting for mediating factors\, is crucial\, yet conventional approaches face significant limitations in the presence of complex causal relationships. We introduce two methods to address these challenges. We first explore a two-stage sequential G-estimation method to estimate the controlled direct effect of a randomly assigned exposure\, while accounting for potential mediators and confounders\, using intensity-based models of recurrent event processes. We also introduce a novel one-stage estimation method based on the estimating equations framework\, leveraging the sequential G-estimation principle. We demonstrate that both methods yield unbiased controlled direct effect estimates. The one-stage method also enables the analytical derivation of an estimator for the standard error of the direct effect estimator. We illustrate our approach using a hospital readmission dataset of colorectal cancer patients to estimate the controlled direct effect of sex differences on hospital readmission. \nAbout the Presenter\n\nShenita Pramij is a PhD student in Statistics at Memorial University of Newfoundland. Her research focuses on mediation analysis\, with a particular emphasis on estimating controlled direct effects in recurrent event processes. She has broad interests in modelling complex processes with applications in healthcare and public policy\, particularly in using statistical methods to analyze disease dynamics and assess intervention effects. \nBeyond her doctoral research\, Shenita has extensive experience in the public sector as a compliance researcher\, where she applies causal inference techniques to evaluate the impact of policies and interventions on compliance. Her work aims to enhance decision-making in public policy and inform targeted interventions. \nShenita holds a Master of Science in Statistics and a Bachelor of Science in Pure Mathematics from Memorial University.
URL:https://canssi.ca/events/atlantic-tour-mediation-analysis/
LOCATION:Memorial University\, St John's\, Newfoundland and Labrador\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Atlantic-Tour-Mar-EN-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20250214T120000
DTEND;TZID=America/Vancouver:20250214T133000
DTSTAMP:20241028T234138Z
CREATED:20241025T172354Z
LAST-MODIFIED:20241028T234138Z
UID:26608-1739534400-1739539800@canssi.ca
SUMMARY:Get Comfortable Being Uncomfortable: Engaging in Dialogue About Favoritism and Fairness
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community\, often in partnership with Academic Impressions\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 1.5-hour online workshop led by Sandra Miles\, Head of Practice for Team Development at Academic Impressions. \nThis session can be used to fulfill the CANSSI EDI requirement for CANSSI-supported researchers. \nRegistration\nREGISTER FOR THIS WORKSHOP \nWorkshop Description\nDuring this virtual workshop\, we will explore the ways in which feelings of defensiveness and discomfort can be very common when engaging in conversations around favoritism and unfairness. Even those who have done extensive reading on topics related to conflict management can find themselves fumbling if they haven’t yet reflected on how their personal feelings may impact the ways they show up in the world—and in these difficult conversations. To get more comfortable engaging in these dialogues\, we must first lean into the discomfort of individual reflection and actions that prepare us to enter into them in an open and effective way. You will be given a workbook of activities\, tools\, and resources to help you move beyond simply understanding these key concepts. Throughout the workshop\, you will begin the hard work of interpreting how favoritism can show up in every aspect of the work we do\, and how an orientation around fairness improves relationships\, morale\, and trust. \nLearning Outcome\nAfter participating\, you will leave with tools to identify a propensity towards favoritism and become more intentional in your interactions with colleagues and students. \nWho Should Attend\nFaculty who are ready to move beyond a baseline readiness to effectively engage in difficult conversations. You will be equipped with tools and best practices to help you feel more comfortable participating in these dialogues in the future. \n\nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Team Development\, 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. In 2024\, she transitioned to specialize in the team development space supporting the growth of trust and effectiveness of high-performing teams among leaders in higher education. \nSandra completed her doctoral work at Florida State University in 2012\, earning a PhD 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/get-comfortable/
LOCATION:Manitoba
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Get-Comfortable-EN-1.png
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20250131T120000
DTEND;TZID=America/Halifax:20250131T130000
DTSTAMP:20250116T175413Z
CREATED:20241231T063158Z
LAST-MODIFIED:20250116T175413Z
UID:26936-1738324800-1738328400@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: Your Data Are a Fingerprint: Why Anonymization is Not Anonymous and How Statistics Can Protect You
DESCRIPTION:Date: Friday\, January 31\, 2025\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: On Zoom\, live from the University of New Brunswick (Saint John) \nThis talk will be presented by Dylan Spicker\, an Assistant Professor in the Department of Mathematics and Statistics at the University of New Brunswick (Saint John). It’s the fourth event in the Atlantic Canada Data Science Tour\, a hybrid seminar series organized by CANSSI Atlantic and geared toward upper-level undergraduates in statistics or computer science programs. The host will be Joanna Mills Flemming\, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic. \nThis event will be online only\, live from the University of New Brunswick. We invite you to join us! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nAbout the Presentation\nThe collection and analysis of data have become ubiquitous across nearly every domain (including healthcare\, social media\, and government). Much of the information that is collected\, stored\, and analyzed is private or sensitive\, and as such\, there is increasing pressure to ensure that individual privacy is maintained. Failure to do so can have serious consequences for the individuals involved. Unfortunately\, privacy researchers have demonstrated that every statistical analysis can inadvertently leak private information unless the analysis is designed to meet rigorous standards of privacy. This is true even when the data have been “anonymized” by removing personal identifiers (such as names\, addresses\, or social insurance numbers). In this talk\, we will explore these privacy pitfalls and outline the work that researchers are doing to overcome them. \nAbout the Presenter\n\nDylan Spicker (they/them) is an Assistant Professor at the University of New Brunswick (Saint John). \nThey completed their PhD at the University of Waterloo in the summer of 2022 and their postdoc at McGill University in 2023. \nDylan’s research focuses on areas of causal inference\, and specifically methodologies related to dynamic treatment regimes. During their graduate studies\, their research focused on measurement error and causal inference. Briefly\, measurement error occurs whenever we are interested in measuring something and we do a bad job of it. This happens in almost every study that is run\, and unfortunately means that the conclusions that we draw may not be accurate; statistical work on measurement error tries to correct this. Causal inference asks questions of the form “Does X cause Y?” (For instance\, “Does smoking cause lung cancer?” (Yes\, it does.)) They have a keen interest in providing a theoretical basis for (comparatively) straightforward methods\, which are easy to use for non-statisticians\, while exhibiting provably good theoretical properties. \nDuring their postdoc\, Dylan explored problems related to privacy and dynamic treatment regimes\, where they sought to determine ways that an individual’s personal health data can be protected\, while gleaning the useful insights that we seek. \nOutside of causal inference and measurement error\, Dylan is interested in machine learning\, and in particular in trying to establish a statistical basis for novel machine learning techniques (including questions related to inference\, interpretability\, and model selection). \nDylan previously did an undergraduate degree in Finance and Mathematics at Queen’s University (they transferred there after completing their first year at the University of Waterloo/Wilfrid Laurier University in the “Double Degree” program)\, and a Master of Statistics at Waterloo. \nOutside of their research\, they pay very close attention to sports\, mostly hockey (and how statistics is\, or should be\, applied there)\, play music (without any connection to statistics)\, and enjoy board/video games (with varying degrees of statistical relevance). They have a cat (Charles) who is wonderful.
URL:https://canssi.ca/events/atlantic-tour-data-fingerprint/
LOCATION:University of New Brunswick Saint John\, 100 Tucker Park Rd\, Saint John\, New Brunswick\, E2K 5E2\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/atlantic-tour-jan31.png
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BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241129T120000
DTEND;TZID=America/Halifax:20241129T130000
DTSTAMP:20241105T235407Z
CREATED:20241104T180056Z
LAST-MODIFIED:20241105T235407Z
UID:26624-1732881600-1732885200@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: Using Machine Learning to Forecast Changes in Canada’s Food Prices: Canada’s Food Price Report 2025
DESCRIPTION:Date: Friday\, November 29\, 2024\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: 550 University Ave\, Charlottetown\, Prince Edward Island\, Canada C1A 4P3 \nThis talk will be presented by Kristina Kupferschmidt\, an Assistant Professor in the School of Mathematical and Computational Sciences at the University of Prince Edward Island. It’s the third event in the Atlantic Canada Data Science Tour\, a hybrid seminar series organized by CANSSI Atlantic and geared toward upper-level undergraduates in statistics or computer science programs. The host will be Joanna Mills Flemming\, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic. \nWe invite you to join us in person or online! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nAbout the Presentation\nUnderstanding how food prices change is essential for Canadian households\, especially with recent inflation and global challenges impacting affordability. Each year\, Canada’s Food Price Report (CFPR) predicts food price trends for the coming year. While recent reports have used machine learning (ML) to improve these forecasts\, the 2024 and 2025 editions have also incorporated a “human-in-the-loop” approach to model development. In this study\, we explored new strategies for working with food pricing experts to further improve forecast reliability. We investigated how different types of models predict changes in food prices and examined how sensitive these models are to various sets of data. \nAbout the Presenter\nKristina Kupferschmidt is a newly appointed Assistant Professor in the School of Mathematical and Computational Sciences at the University of Prince Edward Island. She recently completed a PhD in computer engineering with a focus on machine learning at the University of Guelph. \nKristina’s research focuses on applied artificial intelligence (AI). Her interests lie in responsible AI deployment and improving the real-world translation of machine learning (ML) technologies. She has co-founded two companies\, worked as a biomedical engineer and ML developer in both small startup and industry environments\, and is currently the Lead Scientist-in-Residence for the NEXT-AI accelerator program. In addition to her work\, Kristina serves as the co-chair of the CEPS Indigenization\, Equity\, Diversity\, and Inclusion Committee and is actively conducting research on inclusivity within the field of AI.
URL:https://canssi.ca/events/atlantic-tour-using-machine-learning/
LOCATION:University of Prince Edward Island\, 550 University Avenue\, Charlottetown\, Prince Edward Island\, C1A 4P3\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Atlantic-Tour-Nov-29-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20241128T153000
DTEND;TZID=America/Toronto:20241128T163000
DTSTAMP:20241208T030130Z
CREATED:20241116T165850Z
LAST-MODIFIED:20241208T030130Z
UID:26676-1732807800-1732811400@canssi.ca
SUMMARY:CANSSI SSC Seminar: Predictive Modeling and Balance Property through Autocalibration
DESCRIPTION:Date: Thursday\, November 28\, 2024\nTime: 3:30–4:30 p.m. ET\nLocation: Université du Québec à Montréal\, Pavillon Président Kennedy\, 201\, Av. Président Kennedy\, PK-5115\, Montréal (Métro Place des Arts) and online \nThis hybrid talk by Julien Trufin (Université Libre de Bruxelles\, Belgium) is part of the CANSSI SSC Seminar on Innovations in Statistics and Data Science\, a new series co-sponsored by CANSSI and the Statistical Society of Canada that brings distinguished researchers in statistical sciences to CANSSI member universities across Canada. The series promotes interactions between leading researchers and statistical sciences faculty members and students\, particularly at smaller institutions. \nThis event is hosted by the Centre de recherche facultaire en statistique et science des données (STATQAM) at Université du Québec à Montréal. \nWe invite you to join the presentation in person or online. \nThis event is past. \nWATCH THE RECORDING\n(password: z^E=#K@5) \nAbout the Presentation\nMachine learning techniques provide actuaries with predictors exhibiting high correlation with claim frequencies and severities. However\, these predictors generally fail to achieve financial equilibrium and thus do not qualify as pure premiums. Autocalibration effectively addresses this issue since it ensures that every group of policyholders paying the same premium is on average self-financing. This talk proposes to look at recent results concerning autocalibration. In particular\, we present a new characterization of autocalibration which enables us to identify whether a predictor is autocalibrated or not\, we study a method (called balance correction) for obtaining an autocalibrated predictor from any regression model\, we highlight the effect of balance correction on resulting pure premiums\, and finally we go through some performance criteria that are particularly relevant for autocalibrated predictors. \nAbout the Presenter\nJulien Trufin has been a Professor of Actuarial Science in the Department of Mathematics at the Université Libre de Bruxelles (ULB) since 2023. He was an Associate Professor between 2014 and 2023 in the same department. Previously\, he was an Assistant Professor between 2012 and 2014 at Université Laval in Quebec\, Canada. His main research fields are: \n\nRisk classification: insurance pricing and machine learning techniques\nLoss reserving: collective and individual methods\nCredibility theory\nStochastic inequalities: stochastic orders and dependence concepts\nRisk measures\nRuin theory\n\nHe is an editor for two international journals: \n\nCo-Editor of the European Actuarial Journal (2021–present);\nAssociate Editor of ASTIN Bulletin: The Journal of the International Actuarial Association (2018–present).\n\nHe also served as Associate Editor of Methodology and Computing in Applied Probability from 2015 to 2024.
URL:https://canssi.ca/events/canssi-ssc-seminar-uqam/
LOCATION:UQAM\, Pavillon Président Kennedy\, 201\, Av. Président Kennedy\, PK-5115\, Montréal\, Québec\, H2X 3Y7\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-SSC-Seminar-Nov-28-3.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20241122T120000
DTEND;TZID=America/Vancouver:20241122T133000
DTSTAMP:20241024T011154Z
CREATED:20241021T022809Z
LAST-MODIFIED:20241024T011154Z
UID:26578-1732276800-1732282200@canssi.ca
SUMMARY:Intersectionality in Higher Education
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community\, often in partnership with Academic Impressions\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 1.5-hour online workshop led by Sandra Miles\, Head of Practice for Team Development at Academic Impressions. \nThis session can be used to fulfill the CANSSI EDI requirement for CANSSI-supported researchers. \nRegistration\nREGISTER FOR THIS WORKSHOP \nWorkshop Description\nHighly inclusive leaders strive to respect and value people from diverse backgrounds based on categories like gender\, race\, class\, sexual orientation\, religion\, ability\, etc. This session will focus on intersectionality—on the ways that individuals can face multiple forms of oppression due to their membership in more than one non-dominant social identity. We will explore how leaders can cultivate inclusion by addressing the complex\, cumulative effects of intersectionality. \nThis interactive presentation empowers participants to explore\, confront\, and recalibrate any personal desire or understandings that may cause us to put our colleagues in boxes based on one identity\, rather than seeing them as the sum total of all of their identities. \nLearning Outcome\nAfter participating\, you will leave with tools to help continuously uncover and deepen your understanding of personal biases and acquire skills to compassionately help others recognize their own biases. \nWho Should Attend\nFaculty who are interested in learning about intersectionality within a higher education setting. This course is most beneficial to anyone unfamiliar with intersectionality or interested in exploring effective intervention techniques to use with colleagues\, administrative leaders\, and students. \n\nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Team Development\, 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. In 2024\, she transitioned to specialize in the team development space supporting the growth of trust and effectiveness of high-performing teams among leaders in higher education. \nSandra completed her doctoral work at Florida State University in 2012\, earning a PhD 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/intersectionality/
LOCATION:Manitoba
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Intersectionality-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20241115T074500
DTEND;TZID=America/Vancouver:20241115T153000
DTSTAMP:20241113T210201Z
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/
LOCATION:Manitoba
CATEGORIES:CANSSI National
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Showcase-Keynote-2024.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20241025T120000
DTEND;TZID=America/Halifax:20241025T130000
DTSTAMP:20241015T220915Z
CREATED:20241009T011118Z
LAST-MODIFIED:20241015T220915Z
UID:26279-1729857600-1729861200@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: Incorporating Data-driven Models towards Actuarial Problems
DESCRIPTION:Date: Friday\, October 25\, 2024\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: MULH2032 (Mulroney Hall)\, 4130 University Avenue\, Antigonish\, Nova Scotia\, Canada B2G 2W5 \nActuarial science is a discipline which draws on the mathematics of probability and statistics to assess financial risks in the field of insurance. With the growing availability of data\, actuaries are continuously updating their modelling frameworks to improve the way they assess risk. This seminar will introduce some of the data-driven approaches that can be used to address real-world actuarial problems and demonstrate how traditional methods can be updated to better prepare actuaries to make informed decisions while modelling future trends. \nThe talk will be presented by Kyran Cupido\, an Assistant Professor in the Department of Mathematics and Statistics at St. Francis Xavier University. It’s the second event in the Atlantic Canada Data Science Tour\, a hybrid seminar series geared toward upper-level undergraduates in statistics or computer science programs. The host will be Joanna Mills Flemming\, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic. \nWe invite you to join us in person or online! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nAbout the Presenter\nKyran Cupido is an Assistant Professor in the Department of Mathematics and Statistics at St. Francis Xavier University in Antigonish\, Nova Scotia. He completed a PhD in Statistics at Arizona State University\, where he specialized in actuarial science. His research interests include geospatial analysis\, spatial regression modelling\, and data science\, with a particular focus on the actuarial domains of longevity risk and property and casualty (P&C) insurance.
URL:https://canssi.ca/events/atlantic-tour-data-driven-models/
LOCATION:St. Francis Xavier University\, 4130 University Avenue\, Antigonish\, Nova Scotia\, B2G 2W5\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Atlantic-Tour-Oct-25-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20240927T120000
DTEND;TZID=America/Halifax:20240927T130000
DTSTAMP:20240923T160705Z
CREATED:20240919T161147Z
LAST-MODIFIED:20240923T160705Z
UID:26191-1727438400-1727442000@canssi.ca
SUMMARY:Atlantic Canada Data Science Tour: What I’m Doing As a Grad Student
DESCRIPTION:Date: Friday\, September 27\, 2024\nTime: 12:00–1:00 p.m. Atlantic time\nLocation: Chase Building Room 319 (3rd Floor)\, 6297 Catine Way\, Department of Mathematics and Statistics\, Dalhousie University\, Halifax \nWhat is it like to do research as a grad student? In the kick-off to CANSSI Atlantic’s Atlantic Canada Data Science Tour\, three master’s students and one PhD student in statistics at Dalhousie University will talk about the path that led them to graduate studies in statistics and the research they are doing. The host will be Joanna Mills Flemming\, Professor in the Department of Mathematics and Statistics and Associate Dean of Graduate and Global Relations at Dalhousie University. Joanna is also the Regional Director of CANSSI Atlantic. \nWe invite you to join us in person or online! (We’ll send you the Zoom link when you register.) \nREGISTER ON EVENTBRITE \nPresenters\n\n  \n“Spatiotemporal Modelling of Lobster Abundance”\nJoseph Barss\, MSc student in statistics\, co-supervised by Professors Joanna Mills Flemming and Theo Michelot \n“Statistics and Fish: How Our Expertise Can Benefit Ecology and Fisheries Science”\nRaphaël McDonald\, PhD student in statistics\, co-supervised by Professor Joanna Mills Flemming and David Keith (Fisheries and Oceans Canada) \n“Event-based Validation Metrics for Hydrodynamic Models”\nEthan O’Connell\, MSc student in statistics\, supervised by Professor Michael Dowd \nFatma Sarhan\, MSc student in statistics\, supervised by Professor Orla Murphy
URL:https://canssi.ca/events/atlantic-tour-grad-students/
LOCATION:Dalhousie University\, Chase Building Room 319 (3rd Floor)\, 6297 Catine Way\, Halifax\, Nova Scotia\, B3H 4R2\, Canada
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Atlantic-Tour-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240910T100000
DTEND;TZID=America/Toronto:20240910T170000
DTSTAMP:20240819T213822Z
CREATED:20240619T182356Z
LAST-MODIFIED:20240819T213822Z
UID:25722-1725962400-1725987600@canssi.ca
SUMMARY:CANSSI Quebec’s Postdoc Day 2024
DESCRIPTION:Join Us\nOn September 10\, CANSSI Quebec will host Postdoc Day 2024 at Concordia University. It’s a chance for the entire statistical sciences community to get to know Quebec-based postdoctoral fellows doing statistics-centred research. The event will feature research presentations by postdocs from across the province and will conclude with a reception. \nWe hope you’ll be able to join us. \nSee a blog post about last year’s Postdoc Day (includes presentation abstracts and YouTube recording). \nEvent Details and Registration\nDate: Tuesday\, September 10\, 2024\nLocation: Concordia University\, 1400 De Maisonneuve W\, Montreal\, LB 921.04 (J.W. McConnell Building) \nREGISTER ON EVENTBRITE \nSchedule\nThe event will take place in the Conference Room of the Department of Mathematics and Statistics of Concordia University (LB 921.04). \n9:45 a.m. | Welcoming Remarks \n10:00 a.m. | Presentation 1 | Rishikesh Yadav (HEC Montréal and McGill University) | Sparse Spatiotemporal Dynamic Generalized Linear Models for Inference and Prediction of Bike Counts \n10:45 a.m. | Presentation 2 | Lara Malayeff (McGill University) | An Adaptive Enrichment Design Using Bayesian Model Averaging for Selection and Threshold-identification of Tailoring Variables \n11:30 a.m. | Presentation 3 | Sébastien Jessup (Concordia University) | Flexible Extreme Thresholds Through Generalised Bayesian Model Averaging \n12:15 p.m. | Lunch Break \n1:15 p.m. | Presentation 4 | Arthur Chatton (Université de Montréal) | What If We Had Built a Prediction Model with a Survival Super Learner Instead of a Cox Model 10 Years Ago? \n2:00 p.m. | Presentation 5 | Chi-Kuang Yeh (University of Waterloo and McGill University) | Positive and Unlabeled Data: Model\, Estimation\, Inference\, and Classification \n2:45 p.m. | Presentation 6 | Dante Mata (Université du Québec à Montréal) | Title to come \n3:30 p.m. | Presentation 7 | Marie Michaelides (Concordia University) | Bayesian Time Varying Conditional Copula Models for Spatio-Temporal Dependence in Crop Yield Data \n4:15 p.m. | Reception
URL:https://canssi.ca/events/canssi-quebecs-postdoc-day-2024/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:CANSSI Quebec
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Postdoc-Day-2024-for-newsletter-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240708T083000
DTEND;TZID=America/Vancouver:20240710T130000
DTSTAMP:20240614T162441Z
CREATED:20240319T010916Z
LAST-MODIFIED:20240614T162441Z
UID:25123-1720427400-1720616400@canssi.ca
SUMMARY:CANSSI-CRT Workshop on Modern Methods in Survey Sampling
DESCRIPTION:About This Event\n\n\n\n\n\n\nComplex surveys play an important role in providing information for policy makers and the general public as well as many scientific areas\, such as public health and social science research. The objective of this workshop is to take stock of new developments in the field of survey data\, to bring together some of the most active researchers in the field\, and to identify the current challenges. The workshop is the final activity of a three-year Collaborative Research Team project funded by the Canadian Statistical Sciences Institute. The project is titled Modern Methods in Survey Sampling. The workshop will cover a range of topics\, including \n\nMachine learning methods\nData integration techniques\nHigh-dimensional data\nSmall area estimation\n\nFor more information\, please contact David Haziza at dhaziza@uottawa.ca. \n\n\n\n\nRegistration\nThis three-day event will take place at the University of Ottawa in Ottawa\, Ontario\, Canada. Registration for the event is C$250 and includes the cost of all lunches and coffee breaks. \nA limited number of no-cost guest passes are available for graduate students with limited funding. Please contact David Haziza at dhaziza@uottawa.ca for details. \nREGISTER ON EVENTBRITE \n\n\n\n\nLocation\nSITE Building (STEH0104)\nUniversity of Ottawa\n800 King Edward Avenue\nOttawa\, Ontario \n\n\n\n\nAccommodations\nResidence rooms for graduate students: The organizers have arranged free accommodation for graduate students in the University of Ottawa’s Rideau Residence at 290 Rideau Street. \nThe residence rooms have two double beds and can accommodate up to four people. They come with a private bathroom\, a mini-fridge and microwave\, and air conditioning. \nIf you would like to reserve a residence room\, please contact David Haziza at dhaziza@uottawa.ca. \nHotel accommodations: We have reserved a block of rooms at the Novotel Ottawa City Centre (Novotel Ottawa) at a reduced rate. The reduced rate is 175 Canadian dollars per night + taxes.  \nYou can make a reservation using three different modes (see below). What’s important is that\, regardless of the mode you choose\, you need to use the following code to get the reduced price: 1265702 \nOption 1: You can reserve a room by email. Please write to novotelottawa@novotelottawa.com and mention the code. \nOption 2: You can reserve by phone at 001-613-230-3033\, but don’t forget to mention the code. \nOption 3: You can use the following link  https://book.passkey.com/e/50793164. When making the reservation using this link\, please select “attendee” to continue. \nProgram\nMonday\, July 8\, 2024\n8:15 – 8:45 Registration \n8:45 – 9:00 Introductory remarks \nChair: David Haziza \n9:00 – 9:40 Fitting Classification Trees to Complex Survey Data | Jean Opsomer\, WESTAT \n9:40 – 10:20 Bayesian Tree Models for Data from a Complex Design | Daniell Toth\, U.S. Bureau of Labor Statistics) \n10:20 – 10:50 Coffee break | Session in honour of J.N.K. Rao \n10:50 – 11:20 Permutation Tests Under a Rotating Sampling Plan With Clustered Data | Jiahua Chen\, University of British Columbia \n11:20 – 11:50 Optimal Predictors of General Small Area Parameters Under an Informative Sample Design | Isabel Molina\, Universidad Complutense Madrid \n11:50 – 12:20 Bayesian Empirical Likelihood Methods for Complex Survey Data | Changbao Wu\, University of Waterloo \n12:30 – 14:00 Lunch \nChair: Changbao Wu \n14:00 – 14:40 Random Forests and Mixed Effects Random Forests for Small Area Estimation of General Parameters | Nikos Tzavidis\, University of Southampton \n14:40 – 15:10 Use of Random Forests in Small Area Estimation | Kevin Bosa\, Statistics Canada \n15:10 – 15:40 Coffee break \n15:40 – 16:20 Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling | Jae-Kwang Kim\, Iowa State University \n16:20 – 17:00 Variance Estimation for Survey Estimators Based on Statistical Learning Models| Mehdi Dagdoug\, McGill University \n17:00 – 17:30 Small Area Estimation with Random Forests and the LASSO | Victoire Michal\, McGill University \nTuesday\, July 9\, 2024\nChair: Changbao Wu \n9:10 – 9:50 Weight Smoothing via Design Modeling in Complex Surveys | F. Jay Breidt\, NORC at the University of Chicago \n9:50 – 10:30 Optimal Transport Methods in Survey Sampling | Yves Tillé\, Université de Neuchâtel \n10:30 – 11:00 Coffee break \n11:00 – 11:40 Combining Probability and Non-probability Samples Using Semi-parametric Quantile Regression and a Non-parametric Estimator of the Participation Probability | Emily Berg\, Iowa State University \n11:40 – 12:20 Some New Developments on Likelihood Approaches to Estimation of Participation Probabilities for Non-probability Samples | Jean-François Beaumont\, Statistics Canada \n12:30 – 14:00 Lunch \nChair: David Haziza \n14:00 – 14:40 Statistical Methods for Sampling Cross-classified Populations Under Constraints | Louis-Paul Rivest\, Université Laval \n14:40 – 15:10 Logistic Regression on Linked Data from a Secondary Analyst Perspective | Goldwyn Millar\, Statistics Canada \n15:10 – 15:40 Coffee break \n15:40 – 16:20 Design-based Conformal Prediction for Survey Sampling | Jerzy Wieczorek\, Colby College \n16:20 – 17:00 Improving Estimates from the Survey on Household Income and Wealth Using Administrative Data with Measurement Error via Structural Equation Models | Giovanna Ranalli\, Università degli Studi di Perugia \n17:00 – 17:30 Inference from Nonrandom Samples Using Bayesian Machine Learning | Yutao Liu\, Boehringer Ingelheim \nWednesday\, July 10\, 2024\nChair: Changbao Wu \n9:10 – 9:50 Data Integration with Nonprobability Sample: Semiparametric Model-assisted Approach | Sixia Chen\, University of Oklahoma \n9:50 – 10:30 QR Prediction for Statistical Data Integration | Camelia Goga\, Université de Bourgogne Franche Comté \n10:30 – 11:00 Coffee break \n11:00 – 11:40 Inference for Big Data Assisted by Small Area Methods: An Application on SDGs Sensitivity of Enterprises in Italy | Gaia Bertarelli\, Ca’ Foscari University of Venice \n11:40 – 12:10 Generalized Least Squares in Non-monotone Missing Data | Caleb Leedy\, Iowa State University \n12:10 – 12:40 Propensity Score Weighting with Post-treatment Survey Data | Wei Liang\, University of Waterloo \n12:45 Lunch
URL:https://canssi.ca/events/workshop-survey-sampling/
LOCATION:University of Ottawa\, 75 Laurier Avenue East\, Ottawa\, Ontario\, K1N 6N5\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Haziza-2024-Survey-Sampling-Workshop-EN-2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240607T100000
DTEND;TZID=America/Vancouver:20240607T110000
DTSTAMP:20240611T194750Z
CREATED:20240319T033945Z
LAST-MODIFIED:20240611T194750Z
UID:24943-1717754400-1717758000@canssi.ca
SUMMARY:2024 CANSSI Town Hall
DESCRIPTION:If you’ve been meaning to explore what CANSSI can offer you\, the 2024 CANSSI Town Hall is for you. \nThe Town Hall will take place on Friday\, June 7\, from 10:00 to 11:00 a.m. PDT on Zoom. \nIt is open to all members of the statistical sciences community. If you are interested in receiving a fast-paced overview of CANSSI’s programs\, activities\, and plans for the future from CANSSI Director Don Estep\, we invite you to join your colleagues from across Canada for this session. \nThis event has passed. \nWATCH THE VIDEO RECORDING \nOnce you have registered\, you will receive a Zoom link for the session via email. \nAgenda\n\nProgram changes\nNational retreat\nMentoring\nImage competition\n\nNOTE: If you are a CANSSI representative for your university\, note that the Town Hall will occur immediately after the 2024 CANSSI Annual General Meeting (AGM)\, which will take place from 9:30 to 10:00 a.m. PDT\, also on Zoom. CANSSI representatives will receive materials and a Zoom link for the AGM via email.
URL:https://canssi.ca/events/2024-town-hall/
LOCATION:Manitoba
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2024-CANSSI-Town-Hall-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240602
DTEND;VALUE=DATE:20240603
DTSTAMP:20240322T001026Z
CREATED:20240319T175351Z
LAST-MODIFIED:20240322T001026Z
UID:25139-1717286400-1717372799@canssi.ca
SUMMARY:2024 SSC Annual Meeting in St. John’s
DESCRIPTION:The 2024 Statistical Society of Canada Annual Meeting (SSC 2024) will take place at Memorial University in St. John’s\, Newfoundland and Labrador\, from June 2 to 5. CANSSI is proud to be a sponsor of this always vibrant gathering. \nIn addition to supplying a reason to travel to a beautiful location\, SSC 2024 will offer a chance to connect with statisticians from across Canada and beyond while participating in a wide range of workshops and invited talks by exceptional speakers. \nCANSSI Director Don Estep and Deputy Director Andrea Benedetti will participate in a Q & A session about CANSSI\, and a separate session will spotlight CANSSI postdocs. \nThe early-bird registration deadline for SSC 2024 is April 14. The regular registration deadline is June 1. \nVisit the SSC 2024 website for full details. \nNote that the Twelfth Annual Canadian Statistics Student Conference will take place at the same location one day before the SSC Annual Meeting.
URL:https://canssi.ca/events/2024-ssc-annual-meeting/
LOCATION:Manitoba
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/SSC-2024-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240601T080000
DTEND;TZID=America/Vancouver:20240601T170000
DTSTAMP:20240222T174458Z
CREATED:20240206T035307Z
LAST-MODIFIED:20240222T174458Z
UID:24847-1717228800-1717261200@canssi.ca
SUMMARY:Canadian Statistics Student Conference 2024
DESCRIPTION:CANSSI is proud to be a co-sponsor of the twelfth annual Canadian Statistics Student Conference (CSSC 2024)\, which will take place at Memorial University in St. John’s\, Newfoundland and Labrador\, on Saturday\, June 1\, 2024\, the day before the Statistical Society of Canada 2024 Annual Meeting opens. \nThis conference is all about engaging students through research presentations\, statistical skills development workshops and talks\, and an interactive career session with invited statisticians from different professional areas. \nIt’s a wonderful opportunity for undergraduate\, master’s\, and PhD students to present their statistics-related research through oral presentations and in-person or virtual posters. \nRegistration and Abstract Submissions Are Open!\nIf you would like to present your research at CSSC 2024\, submit your presentation abstract by Friday\, March 1. \nGeneral registration for the conference is open between now and Wednesday\, May 15. \nFOR MORE INFORMATION\, VISIT THE CSSC 2024 WEBSITE.
URL:https://canssi.ca/events/cssc-2024/
LOCATION:Memorial University\, St John's\, Newfoundland and Labrador\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CSSC-2024-BANNER-EN.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240524T093000
DTEND;TZID=America/Vancouver:20240524T133000
DTSTAMP:20240525T013447Z
CREATED:20240525T012629Z
LAST-MODIFIED:20240525T013447Z
UID:25583-1716543000-1716557400@canssi.ca
SUMMARY:Florence Nightingale Day 2024 in Atlantic Canada
DESCRIPTION:Florence Nightingale 2024 in Atlantic Canada will take place at the University of New Brunswick Saint John on May 24\, 2024. \nCANSSI Atlantic will host this event\, which gives high school students the chance to explore studies and careers in statistical sciences. \nSchedule\n9:30–9:45 a.m. Registration Name tags and T-shirts \n9:45–10:00 a.m. | Welcome | Introductions | Who is Florence Nightingale? \n10:00–10:45 a.m. | Interactive Activity 1 (M&M Activity) \n10:45–11:15 a.m. | Campus Tour \n11:15 a.m.–12:00 p.m. | Panel (Phil Munz\, Joanna Mills Flemming\, Anson Green\, Maggie Brown) \n12:00–12:30 p.m. | Lunch \n12:30–1:15 p.m. | Interactive Activity 2 (Statistical Ecology) \n1:15–1:30 p.m. | Wrap-Up \nAbout Florence Nightingale Day\nFlorence Nightingale Day was launched in the U.S. in 2018. Since then\, it has become an international one-day initiative with in-person activities for local high school students organized at colleges and universities and virtual activities for students from all over the world. In the U.S.\, it has been celebrated at a number of institutions\, including Ohio State University\, Harvard University\, and the University of Texas at Dallas. In Canada it has been celebrated at Simon Fraser University and at the University of Toronto (co-sponsored by CANSSI Ontario). CANSSI is a major co-sponsor and co-organizer of Florence Nightingale Day together with the Caucus for Women in Statistics and the American Statistical Association. It’s part of our developing effort to attract under-represented and disadvantaged high school students to study statistical sciences. Our vision is to expand Florence Nightingale Day to become a national event involving high school students across Canada. \nIn 2024\, CANSSI will support events at Simon Fraser University\, the University of Toronto\, and potentially other universities. Our goal is to expand the number of sites each year. Check out these photos from the Florence Nightingale Day 2023 celebration organized by CANSSI and the Department of Statistics and Actuarial Science at SFU. \nFor an international list of upcoming Florence Nightingale Day celebrations\, visit this page.
URL:https://canssi.ca/events/fn-day-2024-atlantic-canada/
LOCATION:Manitoba
CATEGORIES:CANSSI Atlantic
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-Atlantic-2024.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240522
DTEND;VALUE=DATE:20240525
DTSTAMP:20240406T043416Z
CREATED:20240405T190011Z
LAST-MODIFIED:20240406T043416Z
UID:25270-1716336000-1716595199@canssi.ca
SUMMARY:Ottawa Mathematics and Statistics Conference 2024
DESCRIPTION:CANSSI is proud to co-sponsor this year’s Ottawa Mathematics and Statistics Conference (OMSC 2024). \nThe OMSC is organized by the University of Ottawa Mathematics and Statistics Graduate Students’ Association. It provides a venue for graduate students in mathematics and statistics to showcase their original research. Alongside the student talks\, expert mathematicians from Canadian universities and industry will give keynote talks and host workshops. Participants are encouraged to submit abstracts for contributed talks during which they can present their original research or interesting mathematical topics. The conference will also be hosting a Three-Minute Thesis competition; students are welcome to register with a thesis title. Moreover\, to facilitate networking\, the organizers will be hosting a variety of social events. Although this conference is built for graduate students in mathematics and statistics programs\, it remains open to all undergraduate students and postdoctoral researchers wishing to participate. \nThe conference will be hosted in person at the University of Ottawa from May 22 to 24\, 2024. \nVisit the conference website for more details and to register.
URL:https://canssi.ca/events/ottawa-mathematics-and-statistics-conference-2024/
LOCATION:University of Ottawa\, 75 Laurier Avenue East\, Ottawa\, Ontario\, K1N 6N5\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/OMSC-2024-EN-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240510T120000
DTEND;TZID=America/Vancouver:20240510T143000
DTSTAMP:20240523T173452Z
CREATED:20201217T034108Z
LAST-MODIFIED:20240523T173452Z
UID:24457-1715342400-1715351400@canssi.ca
SUMMARY:Let’s Talk About Race and Collective Responsibility
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community\, often in partnership with Academic Impressions\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 2.5-hour online workshop led by Sandra Miles\, Head of Practice\, EDI\, Academic Impressions. \nRegistration\nThis event has passed. \nWATCH THE WEBINAR RECORDING\n(Use this passcode: Lt8iF+P!) \nDOWNLOAD THE PRESENTATION SLIDES (PDF) \nWorkshop Description\nIt is no surprise that racial tensions are alive and well and continue to do harm\, in every facet of life and work in higher education. For example\, those who are Black-presenting do not get to choose or operate from the historically privileged social identities such as class\, age\, or ableism that White-presenting people do. In this session\, therefore\, you will learn how race dynamics between these two groups play out in European countries versus the North American context. You will also examine how you communicate subconsciously to avoid or shut down conversations\, either as a defense mechanism or to prohibit critical dialogue about racial inequity. Finally\, you will learn strategies that will help us\, as a collective\, to move forward while simultaneously embracing the new challenges that are sure to come our way. \nThe workshop’s discussion will follow this structure: \n\nSetting the stage\nWhy do so many conversations about race end so poorly?\nWhy do we need to talk about race?\nHow do we engage in this work?\na.   Defining key terms\nb.   Traditional vs. transformational views\nc.   Just let it go\nFinal Q & A\n\nLearning Outcome\nAfter participating\, you will have greater understanding of how your individual actions around racial inequity connect back to our collective responsibility. \nWho Should Attend\nThis workshop is designed for faculty and students across all levels and functional areas who are (a) seeking an opportunity for self-development\, and (b) committed to supporting the advancement of diversity and inclusivity efforts on their campus. \n\nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/lets-talk-about-race/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Lets-Talk-About-Race.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Winnipeg:20240429T090000
DTEND;TZID=America/Winnipeg:20240429T164500
DTSTAMP:20240321T220210Z
CREATED:20240311T194448Z
LAST-MODIFIED:20240321T220210Z
UID:24998-1714381200-1714409100@canssi.ca
SUMMARY:CANSSI Prairies Workshop: Statistical Analysis of Network Data
DESCRIPTION:Join Us\nThis one-day workshop on “Statistical Analysis of Network Data\,” led by Eric Kolaczyk\, professor of statistics at McGill University\, is the second in the CANSSI Prairies Workshop Series in Data Science. Plan to attend on Monday\, April 29\, 2024\, either online or in person at the University of Manitoba’s Fort Garry campus. \nThe workshop\, presented at the level of Kolaczyk and Csardi (2020)\, will include four sessions on the following topics: \n\nBackground and terminology\nBasic elements of network visualization and characterization\nA hands-on session in R covering visualization\, characterization\, and a quick look at community detection\nRegression and prediction on networks\n\nCost and Registration\nCDN$75 – Students\nCDN$100 – Non-students \nCoffee break refreshments and lunch will be provided for in-person participants. \nIf you would like to attend\, but the cost of the event is an issue for you\, please reach out to canssi@umanitoba.ca. \nREGISTER ON EVENTBRITE \nLocation and Schedule\nThe workshop will take place in Room 200\, Armes Building\, at the University of Manitoba’s Fort Garry campus. All times are Central Daylight Time. Sessions will also be accessible online via Zoom. \n9:00–10:30 a.m. | Session 1 | Background and terminology \n10:30–10:45 a.m. | Morning Coffee Break \n10:45 a.m.–12:15 p.m. | Session 2 | Basic elements of network visualization and characterization \n12:15–1:30 p.m. | Lunch Break \n1:30–3:00 p.m. | Session 3 | A hands-on session in R covering visualization\, characterization and a quick look at community detection \n3:00–3:15 p.m. | Afternoon Coffee Break \n3:15–4:45 p.m. | Session 4 | Regression and prediction on networks \nAbout the Speaker\nEric Kolaczyk\, PhD\nProfessor\, Department of Mathematics and Statistics\, McGill University \nEric Kolaczyk was born in 1968 in Chicago\, Illinois. He obtained a BS degree in mathematics from the University of Chicago\, and MS and PhD degrees in statistics from Stanford University. He is currently on the faculty in the Department of Mathematics and Statistics at McGill University. He was on the faculty in the Department of Mathematics and Statistics at Boston University from 1998 through 2022\, and was faculty in the Department of Statistics at the University of Chicago before that. He also has been visiting faculty at Harvard University and l’Universite Paris VII. For almost a decade he taught an annual short-course at l’École Nationale de la Statistique et de l’Administration Économique (ENSAE) in Paris. \nHe is an elected fellow of the American Statistical Association (ASA)\, the Institute of Mathematical Statistics (IMS)\, and the American Association for the Advancement of Science (AAAS)\, an elected senior member of the Institute for Electrical and Electronics Engineers (IEEE)\, and an elected member of the International Statistical Institute (ISI). \nAbout the Series\nThe CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions\, participants have the opportunity to explore new topics\, learn cutting-edge techniques\, and connect with experts in the field.
URL:https://canssi.ca/events/canssi-prairies-kolaczyk/
LOCATION:University of Manitoba (Fort Garry Campus)\, 66 Chancellors Circle\, Winnipeg\, Manitoba\, R3T 2N2\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/CANSSI-Prairies-Workshop-April-2024-1.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20240425T160000
DTEND;TZID=Europe/Amsterdam:20240425T160000
DTSTAMP:20240406T000850Z
CREATED:20240405T222536Z
LAST-MODIFIED:20240406T000850Z
UID:25277-1714060800-1714060800@canssi.ca
SUMMARY:Embracing Equality in the Changing World of Statistics: ISI Women In Statistics Webinar
DESCRIPTION:We are happy to announce that CANSSI Director Don Estep will be one of three invited speakers at “Embracing Equality in the Changing World of Statistics\,” the International Statistical Institute (ISI) Women in Statistics Webinar #3\, on April 25\, 2024\, at 4:00 p.m. Central European Summer Time. His talk on “Chipping Away at Equity” will be based on experiences gained with the success of the equity aspects of programs offered by CANSSI. \nHis participation is an indication of the high priority that CANSSI places on promoting equity\, diversity\, and inclusion in its programs and within the broader statistical sciences community. \nThe other speakers at the webinar will be Denise Silva\, current ISI Vice-President and Editor of the Statistical Journal of the IAOS\, and Ksenija Dumicic\, Chair of the ISI Committee on Women in Statistics. \nVisit the event web page for full details about the presentations and speakers and to register.
URL:https://canssi.ca/events/embracing-equality/
LOCATION:Manitoba
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/ISI-Women-in-Statistics-Webinar-2024-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240404T150000
DTEND;TZID=America/Vancouver:20240404T170000
DTSTAMP:20240327T025337Z
CREATED:20240326T185400Z
LAST-MODIFIED:20240327T025337Z
UID:25223-1712242800-1712250000@canssi.ca
SUMMARY:2024 Constance van Eeden Seminar: Ethical AI Is More Than Loss Functions
DESCRIPTION:Join Us\nThe Constance van Eeden seminar is a yearly event in which graduate students from the University of British Columbia (UBC)’s Department of Statistics vote for their favourite statisticians. The winner is contacted by the organizing committee and invited to give a talk in the department’s seminar. The speaker spends one or two days on campus\, and graduate students have the opportunity to have lunch and dinner with them. \nCANSSI is proud to be a co-sponsor of this year’s event on April 4\, 2024\, with guest speaker Sherri Rose\, Professor of Health Policy and Co-Director of the Health Policy Data Science Lab at Stanford University. \nLocation\nAttend the event online or in person: \nEarth Sciences Building (ESB) 5104\n2207 Main Mall\nUniversity of British Columbia\nVancouver\, B.C. \nRegistration\nThere is no cost to participate. \nREGISTER TO ATTEND THIS EVENT IN PERSON \nREGISTER TO WATCH THIS EVENT ON ZOOM \nPresentation Abstract\nWhat constitutes a fair algorithm and the ethical use of data is context specific. Algorithms are not neutral and optimization choices will reflect a specific value system and the distribution of power to make these decisions. Data also reflect societal bias\, such as structural racism. Ethics and fairness research for health AI spans many fields\, including policy\, medicine\, computer science\, sociology\, and statistics. Considerations go well beyond loss functions and typical measures of statistical assessment. This talk includes discussion of team construction\, who decides the research question\, minimum standards for research quality\, reproducibility\, least publishable units\, and community engaged research. Overarching themes are also that centering health equity and developing methodology tailored to specific health questions are critical given the stakes involved. \nAbout the Guest Speaker\nSherri Rose\, Ph.D.\, is a Professor of Health Policy and Co-Director of the Health Policy Data Science Lab at Stanford University. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy\, Dr. Rose works on risk adjustment\, ethical algorithms in health care\, comparative effectiveness research\, and health program evaluation. She has published interdisciplinary projects across varied outlets\, including Biometrics\, Journal of the American Statistical Association\, Journal of Health Economics\, Health Affairs\, and New England Journal of Medicine. In 2011\, Dr. Rose coauthored the first book on machine learning for causal inference\, with a sequel text released in 2018. Starting 2024\, Dr. Rose will be co-teaching a new course at Stanford\, Methods for Reproducible Population Health and Clinical Research. \nDr. Rose has been honoured with an NIH Director’s Pioneer Award\, NIH Director’s New Innovator Award\, the ISPOR Bernie J. O’Brien New Investigator Award\, and multiple mid-career awards\, including the Gertrude M. Cox Award. She was named a Fellow of the American Statistical Association in 2020 and received the 2021 Mortimer Spiegelman Award\, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. Her research has been featured in The New York Times\, USA Today\, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019 to 2023. \nShe received her Ph.D. in Biostatistics from the University of California\, Berkeley\, and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. \nAbout the Constance van Eeden Seminar\nThe van Eeden seminar is supported by the Constance van Eeden fund\, which was established by Dr. van Eeden (1927–2021) in 1998. Dr. van Eeden was a mathematical statistician who made foundational contributions to estimation in restricted parameter spaces and nonparametric statistics. \nThe van Eeden fund is used to support many other activities on top of the student-invited speaker talk\, such as inviting visiting professors for a week or more; organizing statistics summer schools; and giving out admissions awards to promising graduate students. \nSee the fund’s webpage to learn more!
URL:https://canssi.ca/events/2024-constance-van-eeden-seminar-ethical-ai-is-more-than-loss-functions/
LOCATION:Manitoba
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/2024-Van-Eeden-Seminar-Poster.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240321T173000
DTEND;TZID=America/Toronto:20240321T183000
DTSTAMP:20240119T001409Z
CREATED:20240110T200906Z
LAST-MODIFIED:20240119T001409Z
UID:24642-1711042200-1711045800@canssi.ca
SUMMARY:Xiao-Li Meng: “Being\, Training\, and Employing Data Scientists”
DESCRIPTION:Being\, Training\, and Employing Data Scientists: Wisdoms and Warnings from Harvard Data Science Review\nOn March 21\, 2024\, the Department of Mathematics and Statistics and the Faculty of Arts and Science at Queen’s University in Kingston\, Ontario\, will host a distinguished lecture with Xiao-Li Meng\, Founding Editor of Harvard Data Science Review and one of the world’s leading statisticians. \nCANSSI is proud to be a sponsor of this unique event. \nThe lecture will be presented in a hybrid format to enable both in-person and online attendance and will be preceded by a reception for in-person attendees. We hope you’ll be able to join us! \nRegistration\nWe invite you to register for the lecture on Eventbrite. You will be asked to indicate whether you are planning to attend in person or online. \nREGISTER ON EVENTBRITE \nSchedule and Location\nThe lecture will be held in Jeffery Hall 127\, 48 University Avenue\, Queen’s University\, in Kingston\, Ontario. \nThe reception for in-person attendees will be held in front of Room 127 in Jeffery Hall. \n5:00–5:30 p.m. EDT | Reception (for in-person attendees)\n5:30–6:30 p.m. EDT | Lecture \nLecture Abstract\n“What Does It Take to Be a Successful Data Scientist?” \n“Is Data Science Education a Jack of All Trades?” \n“How Can We Train Data Scientists When We Can’t Agree on Who They Are?” \nThese thought-provoking questions are the titles of articles in Harvard Data Science Review (HDSR). This talk surveys and reflects on data science training\, employment\, and deployment in the BIG (Business\, Industry\, and Government) world based on such articles\, and many more:   \n\n“Change Through Data: A Data Analytics Training Program for Government Employees” \n“Beyond Unicorns: Educating\, Classifying\, and Certifying Business Data Scientists”\n“Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards”\n“From Unicorn Data Scientist to Key Roles in Data Science: Standardizing Roles”\n“Deployment as a Critical Business Data Science Discipline”\n“When Translation Problems Arise Between Data Scientists and Business Stakeholders\, Revisit Your Metrics”\n”How to Define and Execute Your Data and AI Strategy”\n“A Balanced Perspective on Prediction and Inference for Data Science in Industry”\n“What Are the Values of Data\, Data Science\, or Data Scientists?”\nTo Deploy Machine Learning\, You Must Manage Operational Change—Here Is How UPS Got It Right.  \n\nAbout Xiao-Li Meng\n Xiao-Li Meng\, the Founding Editor-in-Chief of Harvard Data Science Review and the Whipple V. N. Jones Professor of Statistics at Harvard University\, is well known for his depth and breadth in research\, his innovation and passion in pedagogy\, his vision and effectiveness in administration\, as well as for his engaging and entertaining style as a speaker and writer. Meng was named the best statistician under the age of 40 by the Committee of Presidents of Statistical Societies (COPSS) in 2001\, and he is the recipient of numerous awards and honours for his more than 150 publications. In 2020\, he was elected to the American Academy of Arts and Sciences. Meng received his BS in mathematics from Fudan University in 1982 and his PhD in statistics from Harvard in 1990. He was on the faculty of the University of Chicago from 1991 to 2001 before returning to Harvard\, where he served as the Chair of the Department of Statistics (2004–2012) and the Dean of the Graduate School of Arts and Sciences (2012–2017).
URL:https://canssi.ca/events/lecture-xiao-li-meng/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/Xiao-Li-Meng-Lecture.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Vancouver:20240215T120000
DTEND;TZID=America/Vancouver:20240215T143000
DTSTAMP:20240216T222019Z
CREATED:20231212T171638Z
LAST-MODIFIED:20240216T222019Z
UID:24454-1707998400-1708007400@canssi.ca
SUMMARY:Privilege as a Bridge\, Not a Barrier
DESCRIPTION:As part of its Equity\, Diversity\, and Inclusion (EDI) program\, CANSSI regularly organizes EDI workshops and training sessions for the statistical sciences community\, often in partnership with Academic Impressions\, a leading provider of leadership\, personal development\, and skills-based training opportunities to faculty and staff in higher education. \nWe invite you to join us for this 2.5-hour online workshop led by Sandra Miles\, Head of Practice\, EDI\, Academic Impressions. \nRegistration\nThis event has passed. \nWATCH THE WEBINAR RECORDING\n(Available until March 16\, 2024; use this passcode: Pr1vilege!) \nDOWNLOAD THE PRESENTATION SLIDES (PDF) \nWorkshop Description\nUnderstanding Privilege and its Role in Enhancing Equity: All of us enjoy privilege on some level\, which means all of us have an opportunity to use our privilege in support of those who experience marginalization. But how does one establish credibility and acceptance as an ally when there are so many opportunities to get it wrong? This training aims to remove the stigma and discuss the nuance and variation between performative and authentic connection. This session will identify traditional and less recognizable forms of privilege and provide tools to engage\, create space for\, and include communities where we do not hold membership. \nEach participant will receive a Privilege/Marginalized chart which will serve as the basis for the presentation. \nEngaging in Difficult Conversations with Mentees\, Direct Reports\, and Students: Delivering difficult news is never easy\, but when power dynamics are at play it can be even more stressful for all parties involved. The stakes are even higher when diversity feels more like a barrier than the opportunity it is supposed to be. This session will offer clarity on how to be intentional and compassionate\, while still prioritizing accountability when offering constructive feedback. \nParticipants will engage with a case study which will serve as the basis for the presentation. \nLearning Outcome\nAfter participating\, you will leave with tools to engage in your sphere of influence with meaning\, humility\, and clear intentions for the purpose of cultivating an environment of trust and vulnerability. \nWho Should Attend\nFaculty who are interested in learning about privilege\, microaggressions\, and effective allyship as a leader in higher education. This course is most beneficial to anyone unfamiliar or uncomfortable with communicating across difference with colleagues\, administrative leaders\, and students. \nWorkshop Leader\nSandra Miles\, PhD\nHead of Practice for Diversity/Equity/Inclusion\, Academic Impressions\n \nSandra has spent most of the last two decades serving as a leader and administrator in higher education. Specifically\, she has had extensive experience in managing crisis\, strategic planning\, developing leadership programs\, working with persons with disabilities\, mediating disputes\, and serving as a Dean of Students\, Chief Student Affairs Officer\, Chief Diversity Officer\, and Deputy Title IX Coordinator. In 2022\, Sandra joined Academic Impressions full-time as the Head of Practice for Diversity\, Equity\, and Inclusion\, due to her experience with the organization as a subject-matter expert who facilitated trainings and workshops in higher-ed\, as well as to her passion for making DEI concepts resonate for individuals from all walks of life. \nSandra completed her doctoral work at Florida State University in 2012\, earning a Ph.D. in Higher Education Administration. She also completed her bachelor’s and master’s degrees at the University of Central Florida. In addition to her career and educational achievements\, Sandra is on the editorial board for EVOLVE Magazine – First Coast Edition; is a former Chair of the NASPA Center for Women Board; is a former National Director of the Black Female Development Circle\, Inc.; and is the current President of the Palm Coast-Flagler County Alumnae Chapter of Delta Sigma Theta Sorority\, Inc.
URL:https://canssi.ca/events/privilege-as-a-bridge/
LOCATION:Queen’s University\, 127 Jeffery Hall\, 48 University Avenue\, Queen's University\, Kingston\, Ontario\, K7L 3N8\, Canada
CATEGORIES:EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-Privilege-as-a-Bridge.png
END:VEVENT
END:VCALENDAR