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X-WR-CALNAME:Australian Data Science Network
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
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TZID:Australia/Brisbane
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240624
DTEND;VALUE=DATE:20240706
DTSTAMP:20240522T002914Z
CREATED:20240522T000747Z
LAST-MODIFIED:20240522T002914Z
UID:5553-1719187200-1720223999@australiandatascience.net
SUMMARY:AMSI Winter School 2024
DESCRIPTION:Must apply by 30 May.\n\nDevelop Your Mathematical Science Skills And National Networks\nThe AMSI Winter School is an annual two-week event designed for postgraduate students\, early-career researchers and industry professionals in the mathematical sciences and related disciplines.\n\n\nDelve into the latest research and trends with national and international experts under the 2024 theme of Mathematics for Decision Making Under Uncertainty. Hosted by the University of Queensland from 24 June – 5 July\, the program includes social events\, specialist guest lectures\, participants talks and a careers session to promote networking and collaboration. \nApplicants are strongly encouraged to attend in person to maximise their experience\, however\, can opt to join online. Please note not all elements of the program are available remotely. \nApply by 30 May: https://ws.amsi.org.au/apply/ \nTravel grants are also available. Female\, First Nations and Regional\, Rural and Remote students are strongly encouraged to apply.  Applications for travel grants must be submitted by 30 May: https://ws.amsi.org.au/travel-grants/
URL:https://australiandatascience.net/event/amsi-winter-school-2024/
LOCATION:The University of Queensland & Online
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20240624T180000
DTEND;TZID=Australia/Brisbane:20240624T193000
DTSTAMP:20240522T001857Z
CREATED:20240522T001857Z
LAST-MODIFIED:20240522T001857Z
UID:5556-1719252000-1719257400@australiandatascience.net
SUMMARY:Public Lecture: Dealing with Sensitive Data
DESCRIPTION:AMSI Winter School Public Lecture \n\nGuest Speaker: Distinguished Professor Kerrie Mengersen\, Director of the QUT Centre for Data Science\n\nDealing with Sensitive Data: Many datasets of interest to statisticians are subject to privacy conditions. This can constrain access\, analysis\, sharing and release of results. In this presentation\, we will consider two ways in which this issue might be addressed. The first is through federated learning\, in which the analysis is undertaken in such a way that the data remain in situ and private. The second is synthetic generation of the data\, such that the simulated data retains salient characteristics but retains the required privacy. We provide some extensions to the class of models that can be considered in federated learning\, and an overview of synthetic generation of tabular data. The exposition of these ideas will be motivated by the creation of an Australian Cancer Atlas. \n 
URL:https://australiandatascience.net/event/public-lecture-dealing-with-sensitive-data/
LOCATION:The University of Queensland\, St Lucia\, Queensland\, 4072\, Australia
CATEGORIES:Event
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