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SUMMARY:Diversity in Mathematics 2020
DESCRIPTION:We propose a multi-year\, multi-level approach to promoting diversity and inclusivity in STEM. The annual two-week program encompasses concurrent\, partially overlapping events targeting two distinct groups: \n(a) A summer school for top undergraduate women in Canada and the northwest United States\, specializing in mathematics or a related STEM field such as computer science\, physics and statistics. The program will expose them to the many facets of the mathematical sciences in an intense two week immersion. Career opportunities in academia and industry will be given equal emphasis. We hope to encourage these gifted young women to continue on to graduate school\, an arena where women are still seriously under-represented. \n(b) An interactive math camp that runs as a companion program to the summer school. The target demographic here involves high school students in grades 10 and 11\, irrespective of gender\, with an aptitude for science and mathematics but from under-privileged groups.
URL:https://aarms.math.ca/event/diversity-in-mathematics-2020/
LOCATION:Vancouver
CATEGORIES:AARMS sponsored events
ORGANIZER;CN="Malabika Pramanik":MAILTO:malabika@math.ubc.ca
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SUMMARY:Math Kitchen Party: organized by Connie Stewart (UNB Saint John)
DESCRIPTION:Hierarchical linear model with power law function on transmission of COVID-19 in Italy: Modelling and regression analysis\nYoutian Hao (UNB Fredericton)\nCOVID-19 growth data were typically collected from each region of a country\, and the transmission rate usually varies in different area. By adopting a power law with exponential cutoff function into hierarchical linear model\, it becomes possible to reveal the relationship between COVID-19 transmission rate and some regional level covariates of interest. A two-level hierarchical linear model is constructed\, where the first level includes a PLEC function with Poisson link\, and the second level incorporates parameters from level-one with regional level covariates. Modelling and regression analysis approach is implemented based on the model with Italian COVID-19 transmission data. \nWhy Most Published Research Findings Are False\nHugh Chipman (Acadia)\nMany scientific studies declare a “statistically significant” result but then can’t be replicated. What’s going on? Can we no longer trust statistics? Is this the end of the world as we know it? \nMusical Guests\n\nMichele Millar (MSVU)\nAugusto Suarez Garcia (UNBSJ)\n\nThis is a virtual zoom meeting.  If you would like to attend\, please email the organizers for connection details. \n[more information about the Math Kitchen Party summer talk series]
URL:https://aarms.math.ca/event/math-kitchen-party-2020-08-06/
LOCATION:Zoom seminar
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