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X-WR-CALDESC:Events for Australian Data Science Network
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TZID:Australia/Brisbane
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20220412
DTEND;VALUE=DATE:20220414
DTSTAMP:20220321T053743Z
CREATED:20220321T053612Z
LAST-MODIFIED:20220321T053743Z
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SUMMARY:Statistical Society Workshop: Introduction to Machine Learning for Health Data
DESCRIPTION:Statistical Society Workshop: Introduction to Machine Learning for Health Data\n\nAdelaide\n\nThis workshop\, presented by Dr Oscar Perez-Concha\, Centre for Big Data Research in Health\, UNSW Sydney introduces the basics for understanding and using machine learning algorithms. \nRegister: https://statsoc.org.au/event-4197015
URL:https://australiandatascience.net/event/statistical-society-workshop-introduction-to-machine-learning-for-health-data/
LOCATION:Adelaide\, Adelaide\, South Australia\, Australia
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220413T100000
DTEND;TZID=Australia/Brisbane:20220413T103000
DTSTAMP:20220301T000702Z
CREATED:20220210T050130Z
LAST-MODIFIED:20220301T000702Z
UID:3012-1649844000-1649845800@australiandatascience.net
SUMMARY:AI4Pandemics Talk #19: Paulo José da Silva\, University of Campinas
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Paulo José da Silva\, University of Campinas \nTitle: Robot dance: using optimization in pandemic simulations \nAbstract:\nIn this talk we will present the Robot Dance framework that allow us to use ideas from control and simulation in mathematical epidemiology models. This allows us not only to simulate the model with fixed parameters but also to capture possible natural variations on parameters that appears in situations like fitting past data when different social distancing measures were taken\, simulate the response to a spike in the number of case that would result into adoption of non-pharmacological mitigation\, design optimal vaccinations campaigns\, etc. Further information
URL:https://australiandatascience.net/event/ai4pandemics-talk-19-paulo-jose-da-silva-university-of-campinas/
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220422T120000
DTEND;TZID=Australia/Brisbane:20220422T130000
DTSTAMP:20220418T233945Z
CREATED:20220418T233753Z
LAST-MODIFIED:20220418T233945Z
UID:3183-1650628800-1650632400@australiandatascience.net
SUMMARY:Data Science in the News - The Future of Floods
DESCRIPTION:Data Science in the News: The Future of Floods\nThe QUT Centre for Data Science presents its latest webinar in its ‘Data Science in the News’ series. This webinar is in response to the recent flooding along Eastern Australia\, our thoughts remain with those who continue to be impacted. \n\n\nAbout this event\n\n\nIn this webinar you will hear insights on predicting extreme rainfall\, flood warning designs\, community resilience\, and urban design solutions from our panel: \n\nDr Kate Saunders\, QUT School of Mathematical Sciences\n\nHow often do we expect extreme rainfall events to happen?\n\n\nProfessor Ana Deletic\, Executive Dean of Engineering\, QUT\n\nThe economic cost of surface run-off – simple urban design solutions could save households from future floods\n\n\nProfessor Amisha Mehta\, QUT Faculty of Business and Law\n\nMind the gap: Towards community-oriented flood warnings\n\n\nAssociate Professor Karen Vella\, Head of QUT’s School of Architecture and Built Environment\n\nBuilding community resilience after disasters \n\n\n\nModerator: Distinguished Professor Kerrie Mengersen\, Director of the QUT Centre for Data Science \n\nREGISTER: https://www.eventbrite.com/e/data-science-in-the-news-future-of-floods-tickets-313998416717 \n 
URL:https://australiandatascience.net/event/data-science-in-the-news-the-future-of-floods/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220427T100000
DTEND;TZID=Australia/Brisbane:20220427T104500
DTSTAMP:20220420T024649Z
CREATED:20220228T233751Z
LAST-MODIFIED:20220420T024649Z
UID:3066-1651053600-1651056300@australiandatascience.net
SUMMARY:AI4Pandemics Talk #20: Lock Yue Chew\, Nanyang Technological University
DESCRIPTION:AI4Pandemics Talk #20: Lock Yue Chew\, Nanyang Technological University\nWelcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel. \nSpeaker: Lock Yue Chew\, Nanyang Technological University \nTitle: Modelling COVID-19 Pandemic with Control Measures using a SEIR Multiplex Network Model\nAbstract:\nIn this talk\, I will present a Susceptible-Exposed-Infectious-Removed (SEIR) model that exploits both multiplex and temporal networks to study the outbreak dynamics of coronavirus infectious diseases (COVID–19) in Singapore. \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-20-chew-lock-ye-nanyang-technological-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220429T100000
DTEND;TZID=Australia/Brisbane:20220429T113000
DTSTAMP:20220408T001106Z
CREATED:20220408T000717Z
LAST-MODIFIED:20220408T001106Z
UID:3166-1651226400-1651231800@australiandatascience.net
SUMMARY:Like the layers of an onion: Reproducibility and transparency in quantitative research
DESCRIPTION:Professor Ben Marwick\, University of Washington (USA)\nFriday\, 29 April\, 10 am – 11:30 am AEST\n\nThe successful reproducibility of research is fundamental to its reliability\, usefulness and value to the research community and to society. However\, as the computational complexity of research increases\, methods and tools for ensuring the reproducibility are yet to become mainstream. In this presentation Prof Ben Marwick (University of Washington) will describe an emerging consensus on ways of improving the computational reproducibility of social and natural science research. A ‘layered reproducibility’ approach to organise the various technologies available to enhance reproducibility in terms of effort to implement and payoff will be described. This approach has five layers and Ben will present their corresponding tools and technologies. \nPresented as part of the University of Wollongong Data and Decision Science Initiative \nREGISTER FOR YOUR WEBINAR LINK
URL:https://australiandatascience.net/event/like-the-layers-of-an-onion-reproducibility-and-transparency-in-quantitative-research/
CATEGORIES:Event,Webinar
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