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DTSTART;VALUE=DATE:20260712
DTEND;VALUE=DATE:20260718
DTSTAMP:20260715T012436Z
CREATED:20260612T012009Z
LAST-MODIFIED:20260715T012436Z
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SUMMARY:12th International Conference on Teaching Statistics : 12 - 17 July 2026
DESCRIPTION:ICOTS 12 _local FT students programme \n\n\n\n\n\nWELCOME TO ICOTS 12\nThe International Conference on Teaching Statistics (ICOTS) is held every four years in different parts of the world\, and is the most important event in the statistics and data education calendar. For the first time ICOTS is being held in Australia\, in Brisbane. \nWhat? Who? When? How?\nThe theme for ICOTS 12 is “What? Who? When? How?” with Main Topics ranging widely over school\, tertiary and workplace contexts within and across disciplines\, technologies\, training and research at all educational levels. \n\n\n\n\n\n\n\n\n\n\nKEYNOTES\nHear and meet the internationally-renowned ICOTS 12 keynote speakers who are leaders and innovators across this broad canvas\, providing insight into today’s world of educational opportunities and challenges. \nThese will be complemented by a plenary on Debates that Delve at ICOTS 12\, with all plenaries built on a rich programme of speakers and topics from around the world. \nOur dinner speaker is the legendary Antony Green\, who is also giving a conference paper.  \nHome
URL:https://australiandatascience.net/event/12th-international-conference-on-teaching-statistics-12-17-july-2026/
CATEGORIES:Past event
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DTSTART;TZID=Australia/Brisbane:20220119T100000
DTEND;TZID=Australia/Brisbane:20220119T104500
DTSTAMP:20220119T070556Z
CREATED:20211213T064650Z
LAST-MODIFIED:20220119T070556Z
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SUMMARY:AI4Pandemics Talk #13: Jude Kong\, York University
DESCRIPTION:Title: The impact of social\, economic\, environmental factors on the dynamics of COVID-19 \nAbstract: The COVID-19 pandemic has reached a stage where there is now sufficient data to infer whether the basic reproduction number (R0) varies across countries\, and what demographic\, social\, and environmental factors\, other than interventions\, characterize vulnerability to the virus. In this talk\, I will present the first global estimate of R0 across all continents\, and the results of a comprehensive investigation on what social\, economic\, and environmental factors characterize vulnerability to the virus. Understanding how space and time dependent factors predispose a community to a different COVID-19 rate of increase is essential to assessing the efficacy of interventions.
URL:https://australiandatascience.net/event/ai4pandemics-talk-13-jude-kong-york-university/
CATEGORIES:Past event
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