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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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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211201T093000
DTEND;TZID=Australia/Brisbane:20211201T103000
DTSTAMP:20211123T051032Z
CREATED:20211123T051032Z
LAST-MODIFIED:20211123T051032Z
UID:2759-1638351000-1638354600@australiandatascience.net
SUMMARY:AI for Social Impact - Monash Prato Dialogue
DESCRIPTION:  \nWith the maturing of AI and multiagent systems research\, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. \nJoin the Monash Data Futures Institute at the Monash Prato Dialogue lecture series in AI as they host Professor Milind Tambe from Harvard University\, who will focus on the problems of public health and conservation\, and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. He will present results from work around the globe in using AI for HIV prevention\, maternal and child care interventions\, TB prevention and COVID modelling\, as well as for wildlife conservation. \n  \nDate and time:\nWednesday 1 December\, 9:30 am AEDT \n  \nREGISTER NOW
URL:https://australiandatascience.net/event/ai-for-social-impact-monash-prato-dialogue/
LOCATION:Zoom
CATEGORIES:Event,Webinar
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211201T100000
DTEND;TZID=Australia/Brisbane:20211201T104500
DTSTAMP:20211026T024926Z
CREATED:20211026T024705Z
LAST-MODIFIED:20211026T024926Z
UID:2747-1638352800-1638355500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #11: Amalie Dyda\, The University of Queensland
DESCRIPTION:Title: Associations between vaccine coverage and vaccine information exposure on Twitter \nZoom link \nAbstract:\nVaccination is a key public health measure to control the spread of vaccine preventable diseases\, highlighted by the current COVID-19 pandemic. However\, uptake of adult vaccination is influenced by a number of factors including awareness\, perceived risk and safety\, which may be affected by exposure to misinformation. With current high levels of social media use\, many individuals may now be influenced by health information in this medium which can include exposure to vaccine misinformation. This seminar will describe a case study\, using Human papillomavirus (HPV) vaccination as an example\, of an investigation into associations between information people are exposed to on social media and levels of vaccination coverage and discuss future directions for research.
URL:https://australiandatascience.net/event/ai4pandemics-talk-11-amalie-dyda-the-university-of-queensland/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211215T100000
DTEND;TZID=Australia/Brisbane:20211215T104500
DTSTAMP:20211213T064026Z
CREATED:20211026T024901Z
LAST-MODIFIED:20211213T064026Z
UID:2749-1639562400-1639565100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #12: Pranesh Padmanabhan\, The University of Queensland
DESCRIPTION:Zoom link \nTitle: Predicting the effectiveness of COVID-19 vaccines and treatments \nAbstract: \nThe raging global COVID-19 pandemic has triggered enormous global efforts to develop and improve COVID-19 vaccines and antiviral treatments. Predicting the efficacy of COVID-19 vaccines and treatments would aid in the identification of optimal vaccine/treatment development and usage strategies. In this talk\, I will first describe our multiscale mathematical model that presents mechanistic links between COVID-19 vaccine efficacies and the vaccine-induced neutralisation antibody responses. I will then discuss a mathematical model of SARS-CoV-2 entry into target cells that unravels an unexpected synergy between antivirals targeting the different virus entry pathways.
URL:https://australiandatascience.net/event/ai4pandemics-talk-12-pranesh-padmanabhan-the-university-of-queensland/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
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