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DTSTART;TZID=America/Winnipeg:20260427T090000
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SUMMARY:CANSSI Prairies Workshop: Statistical Network Analysis for Omics Data
DESCRIPTION:Date: Monday\, April 27\, 2026\nTime: 9:00–16:45 Central Time\nPlace: University of Manitoba\, Fort Garry Campus\, Armes Building\, Room 201\, and on Zoom \nWorkshop Description\n“Statistical Network Analysis for Omics Data\,” led by Ali Shojaie\, Norm Breslow Endowed Faculty Professor and Interim Chair in the Department of Biostatistics and Professor in the Department of Statistics at the University of Washington\, is the sixth presentation in the CANSSI Prairies Workshop Series in Data Science. We invite you to join us either in person or online. \nThis one-day workshop introduces statistical network analysis methods for omics data. This includes an introduction to methods for inferring undirected and directed graphical models as well as methods for identifying individual (sets of) omics variables associated with various phenotypes/outcomes. Time permitting\, network-based methods for time-course data will also be covered. In addition to introducing methodology\, the workshop will also include hands-on data analysis using the R programming language. \nThe content is intended for diverse audiences and can accommodate graduate students and faculty in a wide range of areas\, as long as they are familiar with statistics at an undergraduate level and computing with the R programming language.  \nProgram Schedule\n9:00–10:00 | Introduction: A Network Primer \n10:00–10:15 | Break \n10:15–12:00 | Analysis of Network-Structured Data \n12:00–13:00 | Lunch \n13:00–14:45 | Learning Undirected Networks \n14:45–15:00 | Break \n15:00–16:45 | Learning Directed Networks \nCost and Registration\nThe registration cost is the same for both in person and online participants. \n\nStudents: $25\nNon-students: $50\n\nREGISTER ON EVENTBRITE \n\nAbout the Presenter\nAli Shojaie is the Norm Breslow Endowed Faculty and Interim Chair in the Department of Biostatistics and Professor in the Department of Statistics at the University of Washington (UW). He is the Founding Director of the Summer Institute for Statistics in Big Data (SISBID) at UW and Lead of the Data Management and Statistics (DMS) Core of the UW Alzheimer’s Disease Research Center (ADRC). Dr. Shojaie’s research lies in the intersection of statistical machine learning\, statistical network analysis and applications in biology and public health. He is an elected Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS) and recipient of the 2022 Leo Breiman Award from the ASA Section on Statistical Learning and Data Science (SLDS). \n\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-shojaie/
LOCATION:University of Manitoba (Fort Garry Campus)\, 66 Chancellors Circle\, Winnipeg\, Manitoba\, R3T 2N2\, Canada
CATEGORIES:CANSSI Prairies
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DTSTART;TZID=America/Vancouver:20260501T093000
DTEND;TZID=America/Vancouver:20260501T154500
DTSTAMP:20260427T012748
CREATED:20260109T051030Z
LAST-MODIFIED:20260417T175320Z
UID:28606-1777627800-1777650300@canssi.ca
SUMMARY:Florence Nightingale Day 2026 at Simon Fraser University
DESCRIPTION:On May 1\, CANSSI and the Department of Statistics and Actuarial Science will celebrate Florence Nightingale Day 2026 at Simon Fraser University! \nThis 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 statistics and data science. 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. \nSFU’s Florence Nightingale Day 2026 will take place at the university’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 and data science. The day has three goals: \n\nTo give participants an understanding of the strong benefits of studying statistics and data science for their future career paths\nTo give participants a glimpse of what studying statistics and data science in university is like\nTo promote diversity in statistics and data science by encouraging and inspiring high school students from all communities to explore statistical sciences\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 statistics and data science.\n\nHow to Participate\nSpace is limited\, 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 2026\, we can make it easy by providing transportation and a free lunch for you and your students. \nNOTE: We have reached our capacity and are no longer accepting group applications for this year. If you would like to be put on a list for next year\, please contact us at info@canssi.ca to express your interest. \n\n\nStudents\nIf you would like to attend on your own\, please sign up here and we’ll contact you as soon as possible. \n\nNote that we can reimburse you for your travel costs to and from the event. \n\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\n\nDaniel Smith (Undergraduate\, Data Science)\n\n\nFergus Dalton (Master’s Student\, History\, Quantitative\, and Theoretical (HQT) Psychology)\n\n\nDeclan O’Sullivan (Undergraduate\,  Molecular Biology and Biochemistry Major)\n\n\nSarah Jassim (Undergraduate\, Health Science)\n\n\nNancy Nanqian Tang (Undergraduate\, Actuarial Science)\n\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 Basaraba (Staff Data Scientist\, Workstream)\nZhi Yuh Ou Yang (Data Analyst\, BC Centre for Disease Control)\nZubia Mansoor (Manager\, AI at lululemon)\nYing Li (Analyst\, Statistics Canada)\nJacob Sande (Actuarial Analyst\, Milliman)\n\n\n\n\n2:00–2:15\nWrap-up\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 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 many post-secondary institutions\, including Simon Fraser University\, the University of Alberta\, the University of Toronto (co-sponsored by CANSSI Ontario)\, York University\, the Université de Montréal\, and the University of New Brunswick. \nCANSSI is a major co-sponsor and co-organizer of Florence Nightingale Day together with the Caucus for Women in Statistics and the American Statistical Association. It’s part of our effort to attract high school students from traditionally under-represented and disadvantaged groups to study statistics and data science. Our vision is to expand Florence Nightingale Day to become a national event involving high school students across Canada. \nIn 2026\, CANSSI will support events at multiple locations. 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-2026-at-sfu/
LOCATION:Simon Fraser University (Halpern Centre)\, Burnaby\, British Columbia\, V5A 1S6\, Canada
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/FN-Day-2026-at-SFU-Alt1-EN.png
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DTSTART;TZID=America/Toronto:20260501T103000
DTEND;TZID=America/Toronto:20260501T140000
DTSTAMP:20260427T012748
CREATED:20200127T212037Z
LAST-MODIFIED:20260207T075646Z
UID:28744-1777631400-1777644000@canssi.ca
SUMMARY:CANSSI Quebec 2026 Stats in a Flash Competition
DESCRIPTION:Event date: Friday\, May 1\, 2026\nEntry deadline: Friday\, April 24\, 2026\nTime: 10:30–14:00 ET\nLocation: Hall Building\, room to be determined\, Concordia University\, Montreal\, Quebec \nCould you present your statistics research in three minutes? \nThat’s the challenge facing grad students and faculty members in CANSSI Quebec’s third annual Stats in a Flash: 180-Second Thesis Competition. \nFor master’s and PhD students\, the event is a chance to develop their presentation skills\, draw attention to their research\, and win prizes. \nFor faculty members\, the event offers an opportunity to highlight their research and discuss potential openings in their research groups. \nInterested in participating? See the instructions below. \nInterested in watching the action? Register as an attendee on Eventbrite. \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\nFaculty members from Quebec universities are invited to participate in a separate non-competitive session using 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\n10:30–11:15 | Faculty presentations \n11:30–12:30 | Student presentations \n12:30–13:30 | Complimentary lunch for participants and attendees \n13:30–14:00 | Distribution of prizes
URL:https://canssi.ca/events/2026-stats-in-a-flash/
LOCATION:Concordia University\, 1400 De Maisonneuve Boulevard W\, Montreal\, Quebec\, H3G 1M8\, Canada
CATEGORIES:CANSSI Quebec
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DTSTART;TZID=America/Vancouver:20260506T120000
DTEND;TZID=America/Vancouver:20260506T133000
DTSTAMP:20260427T012748
CREATED:20260318T174349Z
LAST-MODIFIED:20260413T042231Z
UID:28941-1778068800-1778074200@canssi.ca
SUMMARY:EDI Workshop: The Myths vs. Realities of Faculty Leadership
DESCRIPTION:As part of its professional development initiatives\, CANSSI is pleased to offer a workshop designed for faculty considering or transitioning into leadership roles. For many faculty\, moving into a leadership position can conjure images of sacrifice or the “dark side\,” but it can also present meaningful opportunities to make a positive impact within your institution. \n\nWe invite you to join this 90-minute session\, where we’ll debunk some of the myths surrounding faculty leadership and explore practical ways that taking on a leadership role can yield impactful engagement. You will also reflect on your own beliefs about leadership and identify the pros and cons of stepping into such a role. \nRegistration\nREGISTER FOR THIS WORKSHOP \n  \n\nWorkshop Leader\n \nCorinne Nicolas\, PhD\, PCC\n\nCorinne is Academic Impressions’ Head of Practice for Faculty Success\, a member of the Coaching Team\, and an ICF-certified coach. As the Head of Practice\, she partners with institutions to design and facilitate trainings and programs that foster the development of the leadership skills and mindsets needed for faculty to thrive\, advance in their careers\, and engage in sustainable\, high-impact leadership within their institutions. \nCorinne is deeply committed to supporting the professional growth of faculty and aspiring leaders so they can expand their professional impact. Her passion for this work stems from a 25-year career in higher education\, as a faculty and mid-level faculty leader in both liberal arts college and research university settings\, where she learned alongside and led colleagues navigating diverse stages of academic life. That commitment inspired her “second act”: leaving academia to launch her own coaching practice dedicated to serving faculty and academic leaders\, and eventually joining Academic Impressions in 2023. \nBorn and raised in France\, Corinne earned a PhD in English Composition from Indiana University of Pennsylvania\, as well as Master’s degrees\, in Education and English respectively\, from Tusculum University and the University of Haute Bretagne\, France. She is an avid beach lover\, who likes to experience new places\, values time with her family and is on a quest to bake the perfect baguette.
URL:https://canssi.ca/events/edi-workshop-the-myths-vs-realities-of-faculty-leadership/
CATEGORIES:CANSSI National,EDI
ATTACH;FMTTYPE=image/png:https://canssi.ca/wp-content/uploads/EDI-French-2025-Sep-EN-3.png
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DTSTART;TZID=America/Toronto:20260508T130000
DTEND;TZID=America/Toronto:20260508T140000
DTSTAMP:20260427T012748
CREATED:20260224T202745Z
LAST-MODIFIED:20260408T015009Z
UID:28897-1778245200-1778248800@canssi.ca
SUMMARY:NISS-CANSSI Collaborative Data Science: Bayesian Reconstruction of Ion Temperature and Amplitude Profiles in Inertial Confinement Fusion Diagnostics
DESCRIPTION:Date: Friday\, May 8\, 2026\nTime: 13:00–14:00 Eastern time\nLocation: On Zoom \nJoin Us\nJoin us for “Bayesian Reconstruction of Ion Temperature and Amplitude Profiles in Inertial Confinement Fusion Diagnostics” at the May NISS-CANSSI Collaborative Data Science Webinar. \nREGISTER ON ZOOM \nPresentation Abstract\nInertial confinement fusion (ICF) experiments rely on accurate ion temperature and emission measurements to diagnose plasma conditions and improve performance. However\, due to technical challenges and limited signal\, existing ion temperature diagnostics lack spatial resolution\, integrating measurements over the neutron source. The speakers present a Bayesian framework that uses Gaussian processes to model spatially varying ion temperature and emission amplitude profiles from imaging data. The approach combines a forward physics model with Markov Chain Monte Carlo inference to reconstruct profiles from synthetic datasets generated under realistic conditions\, while providing uncertainty quantification through posterior credible intervals. Results show that the GP-based model can recover spatially resolved temperature and amplitude structure with quantified uncertainty\, enabling a new capability for ICF experiments. \nThe webinar will feature Ky D. Potter (Statistics PhD candidate at Simon Fraser University) and Chris Danly (Director’s Postdoctoral Fellow at Los Alamos National Laboratory (LANL)). It will be moderated by Emily Casleton (Los Alamos National Laboratory and Chair of the NISS-CANSSI Collaborative Data Science Webinar Planning Committee). \nAbout the Speakers\nKy D. Potter is a Statistics PhD candidate at Simon Fraser University and a Graduate Student Intern in the Statistical Sciences Group (CAI-4) at Los Alamos National Laboratory. Their work sits at the intersection of Bayesian statistics and physics\, with applications spanning inertial confinement fusion\, space and ionospheric physics\, and astrostatistics. Ky focuses on scalable Gaussian process models\, uncertainty quantification\, and statistical emulation for complex\, noisy data. Ky enjoys collaborative\, interdisciplinary research at the interface of statistics and the physical sciences.\nChris Danly is a Director’s Postdoctoral Fellow at Los Alamos National Laboratory. He received his PhD in plasma physics from the University of Rochester and holds master’s degrees in physics and nuclear engineering. Since 2010\, Chris has been a member of LANL’s nuclear imaging team\, leading development of new imaging techniques to diagnose inertial confinement fusion and high energy density physics experiments. He recently joined the lab’s Analysis division\, where his research focuses on applications of fusion ignition\, and global security implications of the private fusion R&D boom.\n\nAbout the Moderator\nEmily Casleton is Chair of the NISS-CANSSI Collaborative Data Science Webinar Planning Committee. She 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\, 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. \n\n\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 features 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 gain a deeper understanding of the collaborative processes that bridge gaps between different scientific landscapes. These seminars 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-may2026/
CATEGORIES:CANSSI National
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20260530T083000
DTEND;TZID=America/Toronto:20260530T170000
DTSTAMP:20260427T012748
CREATED:20260203T195813Z
LAST-MODIFIED:20260203T215607Z
UID:28581-1780129800-1780160400@canssi.ca
SUMMARY:Canadian Statistics Student Conference 2026
DESCRIPTION:Date: Saturday\, May 30\, 2026\nTime: All day\nLocation: McMaster University\, Hamilton\, Ontario \nCANSSI is proud to be a co-sponsor of the Fourteenth Annual Canadian Statistics Student Conference (CSSC 2026). \nCSSC 2026 will take place at McMaster University in Hamilton\, Ontario\, on Saturday\, May 30\, 2026\, the day before the 2026 Statistical Society of Canada Annual Meeting opens in the same location. \nThe CSSC’s primary mandate is to act as a venue for students to present their research through oral or poster presentations. Although oral presentation slots are limited\, the CSSC is committed to offering a poster presentation slot to any interested undergraduate or graduate students to showcase their research in statistics. \nConference Activities\nWe are pleased to announce that the keynote address will be given by Dr. Grace Y. Yi\, Professor and Tier I Canada Research Chair in Data Science at the University of Western Ontario. Dr. Yi was awarded the SSC Gold Medal in 2025. Her research is centred around machine learning with a focus on statistical methods that address modern data challenges related to label noise\, missing data\, and deep learning. \nThe conference will also offer a hands-on scientific workshop led by Dr. Kuan Liu; a career panel consisting of professionals in academia\, government\, and industry; a networking lunch; and social events. More information on these events will be shared at a later date. \nThe CSSC prides itself on being a venue for anyone to learn about statistics. Whether you are a first-year bachelor’s student or a postdoctoral fellow\, we encourage you to attend CSSC 2026 to meet students from other universities and to expand your knowledge of statistics. \nFor more information\, please contact the CSSC organizing committee at ssc.student.conference@gmail.com. \nRegistration\nRegistration and abstract submission are now open. \nVISIT THE CSSC 2026 WEBSITE FOR FULL DETAILS.
URL:https://canssi.ca/events/cssc-2026/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:CANSSI National
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