BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australian Data Science - ECPv6.16.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Australian Data Science
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
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/
CATEGORIES:Event
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: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: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/
CATEGORIES:Event
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@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/
CATEGORIES:Event
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/
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/
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210823T110000
DTEND;TZID=Australia/Brisbane:20210825T133000
DTSTAMP:20210820T053333Z
CREATED:20210820T052924Z
LAST-MODIFIED:20210820T053333Z
UID:2482-1629716400-1629898200@australiandatascience.net
SUMMARY:Shaping the Future of Data Science: Research Spotlight Series
DESCRIPTION:Shaping the Future of Data Science: Research Spotlight Series\nWelcome to this Research Spotlight Series on ‘Shaping the Future of Data Science’. This conference aims to highlight the excellent research being undertaken by Australia’s female data scientists. \nSpeakers from across the country will give ten-minute spotlight presentations about their work\, challenges and opportunities. We are excited to learn\, share and grow our community in this way. \nFind out more
URL:https://australiandatascience.net/event/shaping-the-future-of-data-science-research-spotlight-series/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210714T173000
DTEND;TZID=Australia/Brisbane:20210714T190000
DTSTAMP:20210617T013848Z
CREATED:20210617T013848Z
LAST-MODIFIED:20210617T013848Z
UID:2046-1626283800-1626289200@australiandatascience.net
SUMMARY:A Celebration of Mathematics – Diversity in STEM
DESCRIPTION:A Celebration of Mathematics – Diversity in STEM\nAMSI welcomes all students\, researchers and professionals with an interest in STEM to join the team for a relaxed evening of talks and lively discussions! \nRegister now
URL:https://australiandatascience.net/event/a-celebration-of-mathematics-diversity-in-stem/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210712T080000
DTEND;TZID=Australia/Brisbane:20210723T170000
DTSTAMP:20210507T075841Z
CREATED:20210507T075306Z
LAST-MODIFIED:20210507T075841Z
UID:1909-1626076800-1627059600@australiandatascience.net
SUMMARY:2021 AMSI Winter School on Statistical Data Science
DESCRIPTION:2021 AMSI Winter School on Statistical Data Science\nAMSI and Queensland University of Technology are proud to present the 2021 Winter School on Statistical Data Science from 12-23 July. \nFor the first time\, the program will be hosted virtually with options for students to attend event hubs in selected states. Boasting an impressive speaker line-up\, attendees can delve deeper into modules focusing on: \n\nBayesian statistics\,\nAdvanced Markov chains and Monte Carlo methods\nLikelihood-free inference\nModern neural networks\nDimension reduction for high dimensional data\n\nThis event is aimed at postgraduate students\, early career researchers and industry professionals wanting to sharpen their skills. \nApplications are now open and will close at 11.59pm on Sunday 20 June. \nScholarships are also available to AMSI Member students requiring financial assistance to cover program fees. To apply\, go to https://ws.amsi.org.au/apply-for-a-scholarship/ \nFor any further enquiries\, please contact coordinator_rhed@amsi.org.au or visit our website for more details https://ws.amsi.org.au/ \nIf you are an academic and know of someone who may be interested in attending\, we encourage you to forward these details and spread the word about the program. \nApply Now
URL:https://australiandatascience.net/event/2021-amsi-winter-school-on-statistical-data-science/
CATEGORIES:Event
END:VEVENT
END:VCALENDAR