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X-WR-CALNAME:Australian Data Science
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20200101T000000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220412
DTEND;VALUE=DATE:20220414
DTSTAMP:20220321T053743Z
CREATED:20220321T053612Z
LAST-MODIFIED:20220321T053743Z
UID:3119-1649721600-1649894399@australiandatascience.net
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:20220330T100000
DTEND;TZID=Australia/Brisbane:20220330T103000
DTSTAMP:20220301T000944Z
CREATED:20220210T045615Z
LAST-MODIFIED:20220301T000944Z
UID:3009-1648634400-1648636200@australiandatascience.net
SUMMARY:AI4Pandemics Talk #18: Bridget Haire\, Kirby Institute
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: Bridget Haire\, Kirby Institute \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-18-bridget-haire-kirby-institute/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220316T100000
DTEND;TZID=Australia/Brisbane:20220316T104500
DTSTAMP:20220301T001051Z
CREATED:20220228T234602Z
LAST-MODIFIED:20220301T001051Z
UID:3072-1647424800-1647427500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #17: Michaël Chass\, Centre Hospitalier de l’Université de Montréal
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: Michaël Chass\, Centre Hospitalier de l’Université de Montréal \nTitle: CODA-19: Collaborative data analysis to improve clinical care in patients with COVID-19
URL:https://australiandatascience.net/event/ai4pandemics-talk-17-michael-chass-centre-hospitalier-de-luniversite-de-montreal/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220307T120000
DTEND;TZID=Australia/Brisbane:20220307T130000
DTSTAMP:20220307T215001Z
CREATED:20220208T014856Z
LAST-MODIFIED:20220307T215001Z
UID:2986-1646654400-1646658000@australiandatascience.net
SUMMARY:Women in Data Science Day 2022
DESCRIPTION:As part of International Women in Data Science (WiDS) Day\, the ADSN hosted a panel discussion featuring some of Australia’s top women in Data Science! \nHere is the video from that panel discussion. Below the video are details about our panellists.\n \n“Raising the Bar for Australian Data Science”\nThe panel explored how we as a Data Science Network can increase recognition of Data Science as a discipline in its own right\, and representation in terms of more inclusive participation. Also\, we investigated where and how we should best apply our Data Science. \nOur panel:\n \nModerator: Dr Kate Helmstedt\, QUT & WiDS @ ADSN Ambassador \n\nProf Flora Salim\, Deputy Director\, RMIT Centre for Information Discovery & Data Analytics (CIDDA); Incoming Professor and Cisco Chair of Digital Transport\, UNSW Sydney\nProf Joanna Batstone\, Director\, Monash Data Futures Institute\, Monash University\nA/Prof Jessica Kasza\, President\, Statistical Society of Australia\nD/Prof Kerrie Mengersen\, Director\, QUT Centre for Data Science\nProf Sally Cripps\, Research Program Director\, Analytics & Decision Sciences at CSIRO/Data 61\n\n  \nWiDS @ Australian Data Science Network is an independent event that is organized by the Australian Data Science Network as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide\, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.
URL:https://australiandatascience.net/event/women-in-data-science-day-2022/
LOCATION:South Australia
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220302T110000
DTEND;TZID=Australia/Brisbane:20220302T120000
DTSTAMP:20220209T035117Z
CREATED:20220209T035011Z
LAST-MODIFIED:20220209T035117Z
UID:3005-1646218800-1646222400@australiandatascience.net
SUMMARY:Four recommendations to make research code visible
DESCRIPTION:Do you want to release and make your code available? Do you support or train others to make their code available? \nAt this webinar hosted by the Australian Research Data Commons (ARDC)\, we will cover the four recommendations to make research code more visible. We will also \ndiscuss the alignment of these recommendations with the FAIR Principles for research software (FAIR4RS). \nWe welcome everyone from the research community interested in making code more visible\, including: \n\nResearchers who code\neResearch services staff\nDigital Librarians\nEMCRs interested in open science\, computational reproducibility and research integrity.\n\nFind out more/Register\nSpeaker: Paula Andrea Martinez is the ARDC Software Project Coordinator and ReSA Community Manager. She is leading implementation activities from the ARDC National Research Software Agenda (https://bit.ly/rs-agenda) to See\, Shape and Sustain research software. She is a co-chair of the FAIR4RS WG\, co-host of the Visible Research Software IG\, and a co-author of the 4OSS lesson and the Top 10 FAIR Data & Software Things. She has developed strategic planning and work packages for research software to be recognised as a first-class scholarly output of research.
URL:https://australiandatascience.net/event/four-recommendations-to-make-research-code-visible/
LOCATION:South Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220224T120000
DTEND;TZID=Australia/Brisbane:20220224T130000
DTSTAMP:20220222T044130Z
CREATED:20220202T235423Z
LAST-MODIFIED:20220222T044130Z
UID:2968-1645704000-1645707600@australiandatascience.net
SUMMARY:ARDC Panel Discussion: Improve visibility of research software for career advancement
DESCRIPTION:ARDC Panel Discussion: Improve visibility of research software for career advancement \nResearch software is not only an essential part of doing research\, but it is an important research output. The producers of pipelines\, workflows and software packages are increasingly being recognised for their contributions. How can you make\, share and maintain good research software in a way that will advance your career? \nDo you write code for your research? Are you making these new workflows\, pipelines\, scripts or computational methods available as software? Do you see your software contributions as a pathway to impact your career? If you answer yes to any of these questions\, please join us! \nFor this panel discussion\, the Australian Research Data Commons (ARDC) has invited people who invest a lot of their time\, writing\, reviewing and maintaining bioinformatics software tools. We will have a wide-ranging discussion on how this benefits researchers and others\, the effect on career development\, research impact via software and what can be done to increase the recognition for this work. \nThe panel discussion will run for approximately 45 minutes\, followed by a Q&A session. \nMC: A/Prof Denis Bauer\, Principal Research Scientist\, Transformational Bioinformatics\, CSIRO \nPanelists: \n\nA/Prof. Kim-Anh Lê Cao\, NHMRC Career Development Fellow\, School of Mathematics and Statistics\, The University of Melbourne\nDr Sonika Tyagi\, Central Clinical School\, Monash University\nMr Fred Jaya\, School of Life and Environmental Sciences\, University of Sydney\nProfessor Gordon Smyth\, The Walter and Eliza Hall Institute of Medical Research (WEHI)\n\nThis event is co-hosted by the ARDC\, Australian BioCommons and the ABACBS. \nIt forms part of the implementation of the ARDC National Research Software Agenda to make research software more visible\, better cited and maintained. \nHow to join: This webinar is free to join but you must register for a place in advance.
URL:https://australiandatascience.net/event/ardc-panel-discussion-improve-visibility-of-research-software-for-career-advancement/
LOCATION:South Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220224T120000
DTEND;TZID=Australia/Brisbane:20220224T130000
DTSTAMP:20220220T232237Z
CREATED:20220125T000839Z
LAST-MODIFIED:20220220T232237Z
UID:2883-1645704000-1645707600@australiandatascience.net
SUMMARY:ADSN Data Ethics Workshop #2
DESCRIPTION:ADSN Data Ethics Workshop #2\nThis is the second of two workshops/discussions in our data ethics series for the Australian Data Science Network. The aim of this series is to share open questions\, spark discussion\, and facilitate collaborations. \nThe workshops will be led by Professor Rachel Thomas\, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. We will hear a series of lightning talks from our guest  guest speakers followed by a discussion with all participants. Our speakers for this workshop are: \n\nCatarina Pinto Moreira (QUT): “Towards Human-Centric XAI using Eye Tracking in Chest Xrays”\nYves Saint James Aquino (Univ of Wollongong):  “Narrow vs Broad Understandings of Algorithmic Bias among Stakeholders in Healthcare AI”\nMichael Evans (Evans AI): “The Role of Policy in Data Ethics”\n\nZOOM LINK\nPassword: 762923 \nRequest a Calendar Invite
URL:https://australiandatascience.net/event/adsn-data-ethics-workshop-2/
LOCATION:Zoom
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220210T190000
DTEND;TZID=Australia/Brisbane:20220210T200000
DTSTAMP:20220131T014649Z
CREATED:20220131T014531Z
LAST-MODIFIED:20220131T014649Z
UID:2899-1644519600-1644523200@australiandatascience.net
SUMMARY:AI and Data Science for Social Good - Monash Prato Dialogue
DESCRIPTION:The Monash Prato Dialogue is a Distinguished Lecture series on Artificial Intelligence and its impact on society.\n \n\n\n\n\nAbout this event\n\nWhile AI has a great potential to improve sustainability and address climate change\, its use may also have a negative environmental impact\, given the greenhouse gases emitted when training data and computation-intensive AI systems. \n\n\nIn this lecture\, Dr Taddeo will present principles and recommendations to support a governance strategy to leverage the opportunities offered by AI for the climate crisis in a responsive\, evidence-based\, and ethically sound manner. \nDATE: 10 February 2022\nTIME: 8-9 pm AEDT \n  \nAbout the speaker\nDr Mariarosaria Taddeo is Associate Professor and Senior Research Fellow at the Oxford Internet Institute\, University of Oxford\, and is Defence Science and Technology Fellow at the Alan Turing Institute. Her work focuses mainly on the ethical analysis of Artificial Intelligence\, cybersecurity\, cyber conflicts\, and ethics of digital innovation. Her area of expertise is Philosophy and Ethics of Information. Her research has been published in major journals like Nature\, Nature Machine Intelligence\, Science\, and Science Robotics. Since 2019\, she leads a DSTL (Defence Science Technology Laboratory\, Ministry of Defence UK) funded research project on the Ethics of AI in National Defence. \nREGISTER NOW
URL:https://australiandatascience.net/event/ai-and-data-science-for-social-good-monash-prato-dialogue/
LOCATION:Zoom
CATEGORIES:Webinar
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220128T120000
DTEND;TZID=Australia/Brisbane:20220128T130000
DTSTAMP:20220125T025442Z
CREATED:20220111T235910Z
LAST-MODIFIED:20220125T025442Z
UID:2784-1643371200-1643374800@australiandatascience.net
SUMMARY:ADSN Data Ethics Workshop #1
DESCRIPTION:This is the first of two workshops/discussions in our data ethics series for the Australian Data Science Network. \nWe will hear a series of lightning talks on topics including data validity\, Indigenous-led AI\, the false hope of explainability\, and value alignment in AI.  Half the time will be spent in discussion with all participants. The aim of this series is to share open questions\, spark discussion\, and facilitate collaborations. \nThe workshops will be led by Professor Rachel Thomas\, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. Our guest speakers for this workshop are: \n\nBen Hutchinson (Google Sydney) – Checking Assumptions Regarding Data Validity\nLauren Oakden-Rayner (Univ of Adelaide) – The False Hope of Explainability in Medicine\nAaron Snoswell (QUT) – The Value Alignment Problem in AI\nCathy Robinson (CSIRO) – Indigenous-led AI \n\nZOOM LINK\nPassword: 762923 \nREQUEST A CALENDAR INVITE\n 
URL:https://australiandatascience.net/event/data-ethics-workshop-1/
LOCATION:Zoom
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220119T100000
DTEND;TZID=Australia/Brisbane:20220119T104500
DTSTAMP:20220119T070556Z
CREATED:20211213T064650Z
LAST-MODIFIED:20220119T070556Z
UID:2774-1642586400-1642589100@australiandatascience.net
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/
LOCATION:South Australia
CATEGORIES:Past event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220110
DTEND;VALUE=DATE:20220205
DTSTAMP:20211129T235611Z
CREATED:20211129T235520Z
LAST-MODIFIED:20211129T235611Z
UID:2767-1641772800-1644019199@australiandatascience.net
SUMMARY:AMSI Summer School 2022 – Hybrid event hosted by UTS
DESCRIPTION:Study up to two of our eight honours-level mathematical science subjects with specialist lecturers from around Australia. You can even take a subject for credit! Deepen your knowledge\, explore a new branch of mathematics or get a fresh perspective on your research. With program extras including social events\, special lectures and a Careers Day featuring potential employers\, there has never been a better time to expand your mathematical world. We welcome all honours and postgraduate students\, and early career researchers in the mathematical sciences and cognate disciplines to join us. Scholarships available.
URL:https://australiandatascience.net/event/amsi-summer-school-2022-hybrid-event-hosted-by-uts/
LOCATION:South Australia
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/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
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/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211117T100000
DTEND;TZID=Australia/Brisbane:20211117T104500
DTSTAMP:20211026T024058Z
CREATED:20211026T024058Z
LAST-MODIFIED:20211026T024058Z
UID:2739-1637143200-1637145900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #10: Lewis Mitchell\, The University of Adelaide
DESCRIPTION:Zoom Link
URL:https://australiandatascience.net/event/ai4pandemics-talk-10-lewis-mitchell-the-university-of-adelaide/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211103T100000
DTEND;TZID=Australia/Brisbane:20211103T104500
DTSTAMP:20211026T024154Z
CREATED:20211025T223328Z
LAST-MODIFIED:20211026T024154Z
UID:2737-1635933600-1635936300@australiandatascience.net
SUMMARY:AI4Pandemics Talk #9: Romesh Abeysuriya\, Burnet Institute
DESCRIPTION:Title: Long-term COVID-19 strategies with intermittent control measures \nZoom Link \nAbstract: The COVID-19 vaccines used in Australia have all demonstrated high efficacy against severe disease and death. However\, multiple models have shown that the combination of imperfect protection against infection and more infectious variants means that Australia\, and other countries globally\, are unlikely to achieve herd immunity. A key question is therefore what control strategies are proportionate and sustainable\, in a world with high vaccine coverage\, no herd immunity\, and ongoing importations of cases into the community from relaxed quarantine and increased travel. In this seminar\, I will present a modelling study carried out by the Burnet Institute where we used the Covasim model to explore options for using intermittent measures to maintain long-term epidemic control.
URL:https://australiandatascience.net/event/ai4pandemics-talk9-romesh-abeysuriya-burnet-institute/
LOCATION:South Australia
CATEGORIES:Event
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211029T120000
DTEND;TZID=Australia/Brisbane:20211029T133000
DTSTAMP:20210917T055107Z
CREATED:20211001T054839Z
LAST-MODIFIED:20210917T055107Z
UID:2694-1635508800-1635514200@australiandatascience.net
SUMMARY:ADSN Centre Spotlight #6
DESCRIPTION:ADSN Centre Spotlight #6\nJoin us for our final ADSN Centre Spotlight for 2021 as we hear from a few of our partners about what’s happening in their organisation when it comes to data science. \nPartner and communications contacts have been sent a Zoom calendar invitation\, but if you would like to join us\, please send us an email.
URL:https://australiandatascience.net/event/adsn-centre-spotlight-6/
LOCATION:South Australia
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211021T160000
DTEND;TZID=Australia/Brisbane:20211021T170000
DTSTAMP:20211012T024155Z
CREATED:20211012T024155Z
LAST-MODIFIED:20211012T024155Z
UID:2713-1634832000-1634835600@australiandatascience.net
SUMMARY:Responsible AI: From principles to action - Monash Prato Dialogue
DESCRIPTION:Responsible AI: From principles to action – Monash Prato Dialogue\n  \n \nAI is changing the way we work\, live and solve challenges but concerns about fairness\, transparency or privacy are also growing. Ensuring an ethically aligned purpose is more than designing systems whose result can be trusted. \nIt is about the way we design them\, why we design them\, and who is involved in designing them. \nJoin the Monash Data Futures Institute at the Monash Prato Dialogue lecture series in AI as they host Professor Virginia Dignum from Umea University\, who will discuss the need to work towards technical and socio-legal solutions which help AI practitioners in aligning their systems with our societies’ principles and values. \nDate and time:\nThursday 21 Oct\, 5pm AEDT \n  \nREGISTER NOW
URL:https://australiandatascience.net/event/responsible-ai-from-principles-to-action-monash-prato-dialogue/
LOCATION:Zoom
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://australiandatascience.net/wp-content/uploads/2021/10/MDFI-Prato-Dialogue-Prof-Virginia-Dignum-SM-Tile.jpg
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211020T100000
DTEND;TZID=Australia/Brisbane:20211020T104500
DTSTAMP:20211012T024110Z
CREATED:20211012T024110Z
LAST-MODIFIED:20211012T024110Z
UID:2715-1634724000-1634726700@australiandatascience.net
SUMMARY:AI4Pandemics Talk #8: Rebecca Chisholm\, La Trobe University
DESCRIPTION:Title: Contribution of mathematical modelling to COVID-19 response strategies in regional and remote Australian Aboriginal and Torres Strait Islander communities \nZoom Link \n\n\nAbstract:\nThe health and science communities recognised early on in the SARS-CoV-2 pandemic that Aboriginal and Torres Strait Islander Australians were likely to be at high risk of COVID-19 infection and severe outcomes\, due to high rates of comorbidities associated with severe outcomes\, and multiple factors predisposing to increased SARS-CoV-2 transmission. In March 2020\, the Australian Government convened the Aboriginal and Torres Strait Islander Advisory Group on COVID-19 (IAG)\, co-chaired by the Department of Health and the National Aboriginal Community Controlled Health Organisation. The role of the IAG was to develop and deliver a National Management Plan to protect Aboriginal and Torres Strait Islander communities. Our research groups—located at the Doherty Institute\, the Kirby Institute and La Trobe University—were commissioned to carry out modelling\, under the guidance of the IAG\, to help inform aspects of this plan related to regional and remote communities. In this presentation I will describe how we used modelling to address a number of questions of interest to the IAG regarding the importance of a timely response to the first identified case of COVID-19\, who should be quarantined and/or tested in communities\, and whether there is a role for community-wide lockdown in initial containment.
URL:https://australiandatascience.net/event/ai4pandemics-talk-8-rebecca-chisholm-la-trobe-university/
LOCATION:South Australia
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20211019
DTEND;VALUE=DATE:20211021
DTSTAMP:20210916T011109Z
CREATED:20210916T011109Z
LAST-MODIFIED:20210916T011109Z
UID:2664-1634601600-1634774399@australiandatascience.net
SUMMARY:Early Career Researchers Competition
DESCRIPTION:Early Career Researchers Competition\nThe Early Career Researchers Competition is an annual competition run by the Cooperative Research Centres Association celebrating research and challenging early career researchers to enhance their communication skills\, receive peer review\, and gain skills surrounding the presentation of their research to a broad audience. \nFind out more
URL:https://australiandatascience.net/event/early-career-researchers-competition/
LOCATION:South Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211013T100000
DTEND;TZID=Australia/Brisbane:20211013T104500
DTSTAMP:20211026T024143Z
CREATED:20210909T010637Z
LAST-MODIFIED:20211026T024143Z
UID:2631-1634119200-1634121900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #7: Colleen Lau\, UQ
DESCRIPTION:Title: CRISPER: COVID-19 Real-time Information System for Preparedness and Epidemic Response \nZoom Link \nAbstract: A major challenge during the COVID-19 pandemic has been the need to share data and information public while protecting data privacy.  Effective communication of real-time data is critical for informing risk assessment and decision making\, and to support a unified national response. Real-time dashboards have become important platforms for information sharing during the COVID-19 pandemic. This presentation will describe the development of CRISPER\, a COVID-19 Real-time Information System for Preparedness and Epidemic Response\, including the challenges experience.  CRISPER includes a suite of interactive visualisation and mapping tools and automatic alerts for COVID-19 cases\, deaths\, testing\, and contact tracing exposure sites across Australia. The system also allows the use of differential privacy algorithms to protecting data privacy. \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk7-colleen-lau-uq/
LOCATION:South Australia
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211012T120000
DTEND;TZID=Australia/Brisbane:20211012T130000
DTSTAMP:20210917T062022Z
CREATED:20211004T061505Z
LAST-MODIFIED:20210917T062022Z
UID:2700-1634040000-1634043600@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - Optimal decision making: a tribute to female ingenuity
DESCRIPTION:ACEMS Virtual Public Lecture – Optimal decision making: a tribute to female ingenuity\nACEMS is proud to host this virtual public lecture celebrating Ada Lovelace Day and the significant contribution of women in STEM. \nRegister now
URL:https://australiandatascience.net/event/acems-virtual-public-lecture-optimal-decision-making-a-tribute-to-female-ingenuity/
LOCATION:South Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211007T090000
DTEND;TZID=Australia/Brisbane:20211007T094500
DTSTAMP:20211012T024755Z
CREATED:20211012T024755Z
LAST-MODIFIED:20211012T024755Z
UID:2728-1633597200-1633599900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #6: Clair Sullivan\, UQ
DESCRIPTION:Title: The Algorithm will see you now
URL:https://australiandatascience.net/event/ai4pandemics-talk-6-clair-sullivan-uq/
LOCATION:South Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211001T090000
DTEND;TZID=Australia/Brisbane:20211001T173000
DTSTAMP:20210903T020902Z
CREATED:20210903T020902Z
LAST-MODIFIED:20210903T020902Z
UID:2602-1633078800-1633109400@australiandatascience.net
SUMMARY:WIMSIG Conference 2021: Celebration of Women in Australian Mathematical and Statistical Sciences
DESCRIPTION:WIMSIG Conference 2021: Celebration of Women in Australian Mathematical and Statistical Sciences\nThe WIMSIG Conference 2021 (postponed from 2020) will now be taking place at a range of “local hubs” on Friday 1st October this year. There will be events in Brisbane\, Sydney\, Melbourne\, Hobart\, Adelaide\, and Perth. This one-day conference will have a mixture of local (in-person) activities and joint online activities. Local activities may include the opportunity for participants to present their research. \nThe COVID-19 situation is ever changing. Contingency plans are in place to ensure an interesting event will take place\, whether you are able to attend in person or online. Local organisers of in person events need to finalise their COVID safe plans\, so please register your proposed attendance. \nRegister now
URL:https://australiandatascience.net/event/wimsig-conference-2021-celebration-of-women-in-australian-mathematical-and-statistical-sciences/
LOCATION:South Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210930T163000
DTEND;TZID=Australia/Brisbane:20210930T180000
DTSTAMP:20210909T065257Z
CREATED:20210909T065257Z
LAST-MODIFIED:20210909T065257Z
UID:2636-1633019400-1633024800@australiandatascience.net
SUMMARY:EC Bayes Seminar: Francesca Crucinio\, University of Warwick - A particle method for Fredholm Integral Equations of the First Kind
DESCRIPTION:EC Bayes Seminar: Francesca Crucinio\, University of Warwick – A particle method for Fredholm Integral Equations of the First Kind\nWe present a novel method for the solution of Fredholm integral equations of the first kind\, a set of ill-posed inverse problems which model\, among others\, reconstruction of images from distorted noisy observations and indirect density estimation. This novel method is based upon a non-standard sequential Monte Carlo (SMC) algorithm which provides a stochastic discretisation of a smoothed expectation maximisation scheme (EMS) usually implemented under the assumption of piecewise constant solutions. The stochastic discretisation provided by SMC does not assume piecewise constant signals and results in smooth approximate solutions. We analyse the theoretical properties of the EMS iteration\, showing existence of a fixed point\, and of the corresponding SMC algorithms. We compare the novel method with alternatives using a simulation study and present results for realistic systems\, including motion deblurring and reconstruction of cross-section images of the brain from positron emission tomography. \nRegister now
URL:https://australiandatascience.net/event/ec-bayes-seminar-francesca-crucinio-university-of-warwick-a-particle-method-for-fredholm-integral-equations-of-the-first-kind/
LOCATION:South Australia
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210924T120000
DTEND;TZID=Australia/Brisbane:20210924T133000
DTSTAMP:20210917T054829Z
CREATED:20210917T054829Z
LAST-MODIFIED:20210917T054829Z
UID:2691-1632484800-1632490200@australiandatascience.net
SUMMARY:ADSN Centre Spotlight #5
DESCRIPTION:ADSN Centre Spotlight #5\nJoin us for our fifth ADSN Centre Spotlight as we hear from four partners about what’s happening in their organisation when it comes to data science. \n\nDonna Burnett\, School Manager\, La Trobe Business School\, Centre for Data Analytics and Cognition (CDAC)\nProfessor Ravinesh Deo – The University of Southern Queensland (USQ)’s Advanced Data Analytics Research Group\nProfessor Zahid Islam\, Director\, Charles Sturt Data Science Research Unit (DSRU)\nDistinguished Professor Matt Wand\, Group Leader\, UTS Statistics and Data Science Group\n\nPartner and communications contacts have been sent a Zoom calendar invitation\, but if you would like to join us\, please send us an email.
URL:https://australiandatascience.net/event/adsn-centre-spotlight-5/
LOCATION:South Australia
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210921T110000
DTEND;TZID=Australia/Brisbane:20210921T120000
DTSTAMP:20210916T020334Z
CREATED:20210916T020333Z
LAST-MODIFIED:20210916T020334Z
UID:2666-1632222000-1632225600@australiandatascience.net
SUMMARY:Distinguished Visitor Seminar - Assistant Professor Linda Tan
DESCRIPTION:Distinguished Visitor Seminar – Assistant Professor Linda Tan\nThe Centre for Data Science Distinguished Visitor Seminar Series has been created to provide a platform for our esteemed colleagues from across the nation and the globe to share their research\, knowledge and expertise in the field of data science. \nRegister now \nThe next seminar will be presented by Linda S. L. Tan. Linda is an Assistant Professor in the Department of Statistics and Data Science at the National University of Singapore. Her research interests are in variational approximation methods and improving the accuracy and rate of convergence of Bayesian computational algorithms. In this seminar\, Linda will present: \nEfficient data augmentation techniques for state space models\nWe propose a data augmentation scheme for improving the rate of convergence of the EM algorithm in estimating Gaussian state space models. The scheme considers a linear transformation of the latent states in which two working parameters are introduced for rescaling and recentering. We derive optimal values of the working parameters by minimizing the fraction of missing information and study their large sample properties and dependence on the persistence and signal-to-noise ratio. An alternating expectation-conditional maximization (AECM) algorithm is designed to take advantage of the proposed scheme and shown to be a more attractive alternative to the centered parametrization (CP) or noncentered parametrization (NCP). We extend earlier results to Bayesian Markov chain Monte Carlo (MCMC) algorithms for non-Gaussian state space models\, focusing on the stochastic volatility and stochastic conditional duration models. A block-specific reparametrization (BSR) strategy for multi-block MCMC samplers is proposed which enables the EM data augmentation scheme to be applied to non-Gaussian models via a mixture of normals approximation. Applications on simulated data and benchmark real data sets indicate that the BSR strategy can yield improvements in simulation efficiency compared with the CP or NCP\, and sometimes even over ASIS (which interweaves the CP and NCP). \n*** This will be an online event only. A Zoom link will be emailed to registrants on the day of the event. ***
URL:https://australiandatascience.net/event/distinguished-visitor-seminar-assistant-professor-linda-tan/
LOCATION:South Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210921
DTEND;VALUE=DATE:20210924
DTSTAMP:20210903T045102Z
CREATED:20210903T044703Z
LAST-MODIFIED:20210903T045102Z
UID:2604-1632182400-1632441599@australiandatascience.net
SUMMARY:Data-driven queueing challenges
DESCRIPTION:Data-driven queueing challenges\nThe increasing availability of data in the operation of large computer networks and the management of human service systems creates new problems in queueing theory. To respond\, ACEMS and NETWORKS are co-sponsoring an on-line workshop on `Data-driven queueing challenges’\, in association with The Alan Turing Institute. \nThe workshop brings together researchers from statistics\, stochastic modelling and data science to consider research directions in modelling and controlling queues\, and in dealing with parameter uncertainty\, when there is access to operational data. \nThe program contains 16 speakers and 2 panel discussions. \nRegister now
URL:https://australiandatascience.net/event/data-driven-queueing-challenges/
LOCATION:South Australia
CATEGORIES:Online workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210917T120000
DTEND;TZID=Australia/Brisbane:20210917T130000
DTSTAMP:20210916T002825Z
CREATED:20210916T002759Z
LAST-MODIFIED:20210916T002825Z
UID:2660-1631880000-1631883600@australiandatascience.net
SUMMARY:QUT Data Science in the News: Monitoring the nation's pulse
DESCRIPTION:Monitoring the nation’s pulse: The what\, who\, how and why of the Census\nIn this Data Science in the News webinar\, we will explore the important role data science plays in the Australian Census. \nRegister now \nModerator:\nProfessor David Lovell – Deputy Director\, QUT Centre for Data Science \nPanellists:\nMr Mark Harding – Program Manager\, 2021 Census Data Operations \nMs Caroline Deans – Director\, 2021 Census Dissemination \nDr Gentry White – Associate Professor in Data Science and Government Statistics Chair \nDr Aiden Price – Research Associate School of Mathematical Sciences QUT\, Project Manager AusEnHealth \n  \nMore about the Panel Session Topics\nWhat’s new in the 2021 Census – the “what” – Mark Harding \nThe 2021 Census design has been guided by its overarching objectives: smooth-running Census\, garners strong support from the community\, and produces high quality data. Mark Harding will talk through what is new about the 2021 Census\, and in particular how the ABS has adopted a user-centred design approach to delivering the Census. This year the ABS has faced the added challenge of running a Census during the pandemic. Mark will describe how the ABS has responded to COVID-19 and the impacts on Census field operations. \nValue of the Census Data – the “who\, how and why” – Caroline Deans \nCensus data is used to inform important decisions about transport\, schools\, health care\, infrastructure and business. While many people are aware of how the Government uses the data\, the Census is also heavily relied on by community groups and small businesses to improve the lives of individuals. Caroline Deans will cover some case study examples on the varying uses of Census data. \nCaroline will also talk through what happens to the information collected\, from when the data is collected through to when it is transformed into meaningful statistics. The 2021 Census is being conducted at a most interesting time and the data from this Census will be very important to show how the pandemic is affecting our economy and society. \nPartners in Data Science – Dr Gentry White \nDr. White will speak briefly on the unique partnership between QUT\, the CDS and the ABS outlining their current program of research and plans for the future. \nAusEnHealth Project: Climate and Air Quality Vulnerability Index Development – Dr Aiden Price \nThe changing nature of many hazards\, coupled with growing and ageing populations and infrastructure in exposed areas is leading to increased vulnerability across Australia and internationally. AusEnHealth is a multi-agency funded project with the aim to provide tools to support the assessment of population vulnerability through an environmental health lens. This has been achieved by combining air quality and climate data with demographics data\, the latter being comprised almost entirely of Census data from the Australian Bureau of Statistics. \n  \nMore about the Moderator and Panellists\nMr Mark Harding’s career at the ABS spans over two decades\, commencing in 2000. During this time\, Mr Harding has been involved in a number of Censuses and also led the ABS Population Survey Operations. He is currently the Program Manager for 2021 Census Data Operations and is responsible for the end-to-end processes from after the data is collected through to when the data is released. \nMr Harding is based in Sydney where he is currently working from home in his third month of lockdown with his wife and two children. \nMs Caroline Deans commenced her career at the ABS in 2005\, although has been interested in statistics and their importance in decision making well before then. Ms Deans has a wealth of knowledge about the Census\, having worked on the last three Censuses. She was responsible for managing the South Australia Census count in 2011\, the Queensland count in 2016\, and is now responsible for releasing the data for the 2021 Census. \nMs Deans grew up in Adelaide and moved to Brisbane in 2016 where she currently resides. \nDr. Gentry White is the current Associate Professor in Data Science and the Australia Bureau of Statistics Co-Chair in the QUT Centre for Data Science. Dr. White has been at QUT since 2013 and prior was a Research Fellow at the ARC Center for Excellence in Policing and Security and the Institute for Social Science Research at The University of Queensland since 2009. \nDr Aiden Price is a research associate in the Centre for Data Science\, working as a project manager on the AusEnHealth Project: a national environmental health strategic planning digital twin. Aiden’s research is currently focused on spatial and temporal analyses of environmental and population health data\, identifying the impact of bushfires on human health\, and conservation-focused work through the lens of aesthetics in the Antarctic Peninsula. \nProfessor David Lovell is a Professor in the QUT School of Computer Science\, Deputy Director of QUT’s Centre for Data Science\, and leader of the Centre’s Data-Focused Decision-Making Program. David’s research interests lie at the intersection of humanity\, science and technology\, particularly data science. We humans are the ones who stand to benefit (or suffer) from systems that use data to make or inform decisions that affect our lives. David wants to ensure that science and technology are developed\, designed and delivered with this in mind so that our world is better as a result.
URL:https://australiandatascience.net/event/qut-data-science-in-the-news-monitoring-the-nations-pulse/
LOCATION:South Australia
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210915T120000
DTEND;TZID=Australia/Brisbane:20210915T130000
DTSTAMP:20210903T051044Z
CREATED:20210902T231200Z
LAST-MODIFIED:20210903T051044Z
UID:2600-1631707200-1631710800@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - Hypocrisy ++
DESCRIPTION:ACEMS Virtual Public Lecture – Hypocrisy ++\nThere are two popular\, but competing\, philosophical theories which attempt to answer this question\, usually referred to as the ‘subjective’ and the ‘frequency’ approaches. These theories are often claimed to form the foundations\, respectively\, of the Bayesian and frequentist interpretations of statistics. In this public lecture\, Professor Burdzy will explain why this is not actually the case\, and will outline logical contradictions with both these philosophical theories. \nRegister now
URL:https://australiandatascience.net/event/acems-virtual-public-lecture-hypocrisy/
LOCATION:South Australia
CATEGORIES:Webinar
END:VEVENT
END:VCALENDAR