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DTSTAMP:20260405T055729
CREATED:20231031T180748Z
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UID:106827-1698832800-1698850800@guides.uoguelph.ca
SUMMARY:Flu & COVID Vaccine Clinic
DESCRIPTION:Student Health Services offers flu shots & COVID vaccines\, FREE and available to any student\, faculty or staff member\, plus the Guelph community members. You can get one or both vaccines on campus during one of our Vaccine Clinics with no appointment required (see uoguel.ph/2023-vaccines for dates).
URL:https://guides.uoguelph.ca/event/flu-covid-vaccine-clinic-5/
LOCATION:Ontario
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DTSTART;TZID=America/Toronto:20231101T120000
DTEND;TZID=America/Toronto:20231101T130000
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CREATED:20231025T201408Z
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UID:106647-1698840000-1698843600@guides.uoguelph.ca
SUMMARY:One Health Seminar Series: Anthropogenic Impacts on Environmental Systems
DESCRIPTION:Our society is inseparable from the environment\, whether it’s the planetary-level impact of greenhouse gas emissions on climate change or the local impact of Toronto’s urban expansion on forest biodiversity. Liane Miedema will introduce us to three different scales of anthropogenic impacts on the environment and the implications of the increasingly complicated interface between human society and natural systems.
URL:https://guides.uoguelph.ca/event/one-health-seminar-series-anthropogenic-impacts-on-environmental-systems/
LOCATION:McLaughlin Library\, 480 Gordon Street\, Guelph\, Ontario\, Canada
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CREATED:20231020T190017Z
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UID:106481-1698843600-1698847200@guides.uoguelph.ca
SUMMARY:Protecting Individual Privacy in Machine Learning
DESCRIPTION:Abstract: Modern machine learning systems are trained on massive amounts of data. It turns out that\, without special care\, machine learning models are prone to regurgitating or otherwise revealing information about individual data points. This is problematic when parts of the training data are sensitive or contain private information\, as is commonly the case in many settings of interest. Dr. Kamath will discuss differential privacy\, a rigorous notion of data privacy\, and how it can be used to provably protect against such inadvertent data disclosures by machine learning models. He will focus particularly on recent approaches that simultaneously employ both non-sensitive and sensitive data\, granting significant improvements in the utility of privately trained models. He will also discuss pitfalls with these methods and potential paths forward for the field. \nBio: Gautam Kamath is an Assistant Professor at the David R. Cheriton School of Computer Science at the University of Waterloo\, and a Canada CIFAR AI Chair and Faculty Member at the Vector Institute. He has a B.S. in Computer Science and Electrical and Computer Engineering from Cornell University\, and an M.S. and Ph.D. in Computer Science from the Massachusetts Institute of Technology. He is interested in reliable and trustworthy statistics and machine learning\, including considerations such as data privacy and robustness. He was a Microsoft Research Fellow\, as a part of the Simons-Berkeley Research Fellowship Program at the Simons Institute for the Theory of Computing. He serves as an Editor in Chief of Transactions on Machine Learning Research. He is the recipient of the Faculty of Math Golden Jubilee Research Excellence Award\, an NSERC Discovery Accelerator Supplement\, and was awarded the Best Student Presentation Award at the ACM Symposium on Theory of Computing.
URL:https://guides.uoguelph.ca/event/protecting-individual-privacy-in-machine-learning/
LOCATION:Ontario\, Canada
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DTSTART;TZID=America/Toronto:20231101T150000
DTEND;TZID=America/Toronto:20231101T163000
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CREATED:20231020T185057Z
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UID:106453-1698850800-1698856200@guides.uoguelph.ca
SUMMARY:Equity Essentials: Call it out? Identifying and Responding to Microaggressions
DESCRIPTION:This session will identify the systems and attitudes that contribute to microaggressions and discuss strategies for responding effectively. By the end of this workshop you will: \n– Gain a broader awareness of how oppression affects the lived experience of equity-deserving groups\, and the specific context of EDI on post-secondary campuses.\n– Understand how dominant groups perpetuate\, actively or unconsciously\, oppression.\n– Be able to apply key concepts related to anti-racism\, oppression\, privilege\, and tokenism.\n– Understand how unconscious bias affects individuals and communities; and\n– Be able to identify microaggressions and apply appropriate and effective responses to microaggressions.
URL:https://guides.uoguelph.ca/event/equity-essentials-call-it-out-identifying-and-responding-to-microaggressions/
LOCATION:Ontario\, Canada
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