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DTSTART;VALUE=DATE:20210705
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UID:5806-1625443200-1625875199@aarms.math.ca
SUMMARY:Junior Math and Computer Science Camp
DESCRIPTION:This week-long day camp is an opportunity for students entering\ngrade 5 or 6 in the Annapolis Valley to participate in fun and enriching\nscience-based activities with Acadia faculty and students to develop\ntheir curiosity and enjoyment of math and computer science. It\nrepresents an important piece of a multi-year plan to develop the\nmathematical skills of students in the Annapolis Valley by bringing\nyoung students into the Acadia University outreach program. This will\nbegin the process of positively engaging students with math and\ncomputer science at a critical time in their educational careers.\nBursaries are provided for those who qualify for financial assistance.
URL:https://aarms.math.ca/event/junior-math-and-computer-science-camp/
LOCATION:Acadia University\, Wolfville\, Nova Scotia\, Canada
CATEGORIES:AARMS outreach events
ORGANIZER;CN="Caroline Cochran":MAILTO:caroline.cochran@acadiau.ca
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DTSTART;TZID=America/Halifax:20210712T150000
DTEND;TZID=America/Halifax:20210712T163000
DTSTAMP:20260614T013249
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LAST-MODIFIED:20210708T102825Z
UID:5937-1626102000-1626107400@aarms.math.ca
SUMMARY:AARMS COVID-19 Seminar:  Cindy Feng (Dalhousie)
DESCRIPTION:Spatial-Temporal Modeling of COVID-19 Mortality Risk in Toronto\, Canada\nIn this talk\, a spatial-temporal model for modeling georeferenced COVID -19 mortality data in Toronto\, Canada will be presented. A range of factors and spatial-temporal terms are incorporated into the model. The non-linear and interactive effects of the neighborhood-level factors\, i.e.\, population density and average of income\, are modeled as a two-dimensional spline smoother. The change of spatial pattern over time is modeled as a three-dimensional tensor product smoother. By fitting this model\, the space-time effect can uncover the underlying spatial-temporal pattern that is not explained by the covariates. The performance of the modeling method based on the individual data is also compared to the modeling methods based on the aggregated data in terms of in-sample and out-of-sample predictive checking. The results suggest that the individual-level based analysis provided a better overall model fit and higher predictive accuracy for detecting epidemic peaks as compared to the analysis based on the aggregated data in this application. \nMore information about this seminar series.  This is a virtual zoom seminar.  If you would like to attend\, please email the organizers for connection details.  All times are given in the Atlantic timezone.
URL:https://aarms.math.ca/event/aarms-covid-19-seminar-2021-07-12/
LOCATION:Zoom seminar
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DTSTART;VALUE=DATE:20210726
DTEND;VALUE=DATE:20210807
DTSTAMP:20260614T013249
CREATED:20210719T153708Z
LAST-MODIFIED:20210719T153708Z
UID:6157-1627257600-1628294399@aarms.math.ca
SUMMARY:AARMS Industrial Problem Solving Workshop 2021
DESCRIPTION:The Atlantic Association for Research in the Mathematical Sciences (AARMS) will host its third Industrial Problem Solving Workshop (IPSW) in a purely online format from from July 26 to August 6 \nAbout IPSWs\n\nThe main goals of an IPSW are to build connections between researchers in industry\, non-profit organizations\, and academia.  Organizations based in Atlantic Canada and elsewhere present problems related to their interests\, and participants will break into teams to explore solutions to these problems.  The problems come from a variety of subject areas\, but all are designed to be approachable by students and postdocs with backgrounds in pure mathematics\, modelling\, scientific computing\, computer science\, or data analysis.  Each problem group will be led by one or more university faculty members with expertise relevant to the technical challenge at hand\, but participants with a wide range of interests and expertise are welcome.  Over the course of the workshop\, problem groups will work collaboratively to explore possible solution strategies to the technical challenges and propose longer-term research directions\, as well as make connections to a larger group of companies and academic researchers with similar interests. \n\n\n\n\n\nEvent format\n\nThis year’s IPSW will be a little bit different from previous versions: it is two weeks in duration and convened exclusively online.  Problem solving teams are invited to use AARMS video-conferencing resources to schedule their own problem solving sessions during the course of the workshop.  It is expected that many people will participate on a part-time basis.  We will plan to organize several optional live events during the course of the workshop aimed at networking and career-oriented skills training. \n\n\n\n\n\nPrizes\n\n\nNBIF Award for best problem solving pitch ($500 shared amongst student/postdoc presenters)\nSpringboard Atlantic Award for most valuable student/postdoc problem solver ($500 for one student)\nAARMS Award for best solution ($2000 shared amongst student/postdoc members of the winning team)\nCANSSI Atlantic prize for the most effective use of statistics in problem solving ($200 for one student)\n\n\n\n\n\n\nImportant dates\n\n\nJuly 21\, 2021: Registration deadline\nJuly 23\, 2021: Prerecorded problem presentations from industry and non-academic partners available online\nJuly 26\, 2021: Live Q&A panel from industrial and non-academic representatives\nJuly 26-30\, 2021: Groups meet online to discuss problem solving strategies\nJuly 30\, 2021: Mid-workshop progress presentations\nAugust 3-6\, 2021: Groups meet online to discuss problem solving strategies\nAugust 6\, 2021: Final presentation of problem solutions
URL:https://aarms.math.ca/event/aarms-industrial-problem-solving-workshop-2021/
CATEGORIES:AARMS workshops and conferences
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DTSTART;TZID=America/Halifax:20210726T150000
DTEND;TZID=America/Halifax:20210726T163000
DTSTAMP:20260614T013249
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LAST-MODIFIED:20210719T153453Z
UID:5924-1627311600-1627317000@aarms.math.ca
SUMMARY:AARMS COVID-19 Seminar:  Lam Ho (Dalhousie)
DESCRIPTION:Modelling the dynamics of COVID-19 epidemic\nManaging the COVID-19 pandemic has become the top priority since its inception in late 2019. Modelling the development of the epidemic is a crucial step for governments to make effective public health policies. In this talk\, we will discuss some challenges of studying the dynamics of the COVID-19 epidemic as well as our recent ideas that cut directly to the heart of these challenges. \nMore information about this seminar series.  This is a virtual zoom seminar.  If you would like to attend\, please email the organizers for connection details.  All times are given in the Atlantic timezone.
URL:https://aarms.math.ca/event/aarms-covid-19-seminar-2021-07-26/
LOCATION:Zoom seminar
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