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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
BEGIN:STANDARD
TZOFFSETFROM:+1000
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DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
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: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/ai4pandemics-talk-8-rebecca-chisholm-la-trobe-university/
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: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/early-career-researchers-competition/
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: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/ai4pandemics-talk7-colleen-lau-uq/
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: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/acems-virtual-public-lecture-optimal-decision-making-a-tribute-to-female-ingenuity/
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: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/ai4pandemics-talk-6-clair-sullivan-uq/
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: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/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: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/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: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: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/adsn-centre-spotlight-5/
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: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/distinguished-visitor-seminar-assistant-professor-linda-tan/
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: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-driven-queueing-challenges/
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: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/qut-data-science-in-the-news-monitoring-the-nations-pulse/
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: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/acems-virtual-public-lecture-hypocrisy/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210910T130000
DTEND;TZID=Australia/Brisbane:20210910T150000
DTSTAMP:20210909T004715Z
CREATED:20210902T230619Z
LAST-MODIFIED:20210909T004715Z
UID:2598-1631278800-1631286000@australiandatascience.net
SUMMARY:ADSN Workshop: Synthetic Data
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/adsn-workshop-synthetic-data/
CATEGORIES:Online workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210908T100000
DTEND;TZID=Australia/Brisbane:20210908T104500
DTSTAMP:20211012T024454Z
CREATED:20211012T024406Z
LAST-MODIFIED:20211012T024454Z
UID:2722-1631095200-1631097900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #5: Peter Frazier\, Cornell University
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/ai4pandemics-talk-5-peter-frazier-cornell-university/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210901T120000
DTEND;TZID=Australia/Brisbane:20210901T130000
DTSTAMP:20210812T223224Z
CREATED:20210812T221534Z
LAST-MODIFIED:20210812T223224Z
UID:2400-1630497600-1630501200@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - The Origami of Data Science
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/acems-virtual-public-lecture-the-origami-of-data-science/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210825T100000
DTEND;TZID=Australia/Brisbane:20210825T104500
DTSTAMP:20211026T024232Z
CREATED:20210817T013237Z
LAST-MODIFIED:20211026T024232Z
UID:2434-1629885600-1629888300@australiandatascience.net
SUMMARY:AI4Pandemics Talk #4: Joel Miller\, La Trobe University
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/ai4pandemics-talk4-joel-miller-la-trobe-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210824T080000
DTEND;TZID=Australia/Brisbane:20210824T170000
DTSTAMP:20210824T211948Z
CREATED:20210824T045751Z
LAST-MODIFIED:20210824T211948Z
UID:2549-1629792000-1629824400@australiandatascience.net
SUMMARY:Threat or opportunity: Will healthcare Artificial Intelligence de-skill clinicians?
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/threat-or-opportunity-will-healthcare-artificial-intelligence-de-skill-clinicians/
CATEGORIES: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: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/shaping-the-future-of-data-science-research-spotlight-series/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210818T100000
DTEND;TZID=Australia/Brisbane:20210818T104500
DTSTAMP:20211026T024225Z
CREATED:20210722T013921Z
LAST-MODIFIED:20211026T024225Z
UID:2298-1629280800-1629283500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #3: Jeremy Howard\, fast.ai & University of San Francisco
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/ai4pandemics-talk3-jeremy-howard/
LOCATION:Zoom
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210813T120000
DTEND;TZID=Australia/Brisbane:20210813T130000
DTSTAMP:20210812T220309Z
CREATED:20210812T220309Z
LAST-MODIFIED:20210812T220309Z
UID:2396-1628856000-1628859600@australiandatascience.net
SUMMARY:Going for Gold: Data Science and the Olympic Games
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/going-for-gold-data-science-and-the-olympic-games/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210729T140000
DTEND;TZID=Australia/Brisbane:20210729T153000
DTSTAMP:20210702T020141Z
CREATED:20210702T020141Z
LAST-MODIFIED:20210702T020141Z
UID:2175-1627567200-1627572600@australiandatascience.net
SUMMARY:Data Science Under the Hood: Manifold Learning
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-science-under-the-hood-manifold-learning/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210728T100000
DTEND;TZID=Australia/Brisbane:20210728T104500
DTSTAMP:20211026T024218Z
CREATED:20210715T035313Z
LAST-MODIFIED:20211026T024218Z
UID:2278-1627466400-1627469100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #2: Kirsty Short\, UQ
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/ai4pandemics-talk-2-kirsty-short-uq/
LOCATION:Zoom
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210726T110000
DTEND;TZID=Australia/Brisbane:20210802T150000
DTSTAMP:20210610T053238Z
CREATED:20210610T053238Z
LAST-MODIFIED:20210610T053238Z
UID:2025-1627297200-1627916400@australiandatascience.net
SUMMARY:ECSSC2021
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/ecssc2021/
ATTACH;FMTTYPE=image/png:https://australiandatascience.net/wp-content/uploads/2021/06/ECSSC-Logo.png
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210725T110000
DTEND;TZID=Australia/Brisbane:20210725T150000
DTSTAMP:20210708T000706Z
CREATED:20210707T235855Z
LAST-MODIFIED:20210708T000706Z
UID:2188-1627210800-1627225200@australiandatascience.net
SUMMARY:Workshop: Statistical Shape Analysis via Topological Data Analysis
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/workshop-statistical-shape-analysis-via-topological-data-analysis/
LOCATION:Zoom
CATEGORIES:Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210724T110000
DTEND;TZID=Australia/Brisbane:20210724T150000
DTSTAMP:20210708T000603Z
CREATED:20210708T000439Z
LAST-MODIFIED:20210708T000603Z
UID:2194-1627124400-1627138800@australiandatascience.net
SUMMARY:Workshop: Convex Optimization for Statistical and Machine Learning with CVXR
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/workshop-convex-optimization-for-statistical-and-machine-learning-with-cvxr/
LOCATION:Zoom
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: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/a-celebration-of-mathematics-diversity-in-stem/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210714T120000
DTEND;TZID=Australia/Brisbane:20210714T130000
DTSTAMP:20210625T054601Z
CREATED:20210625T053614Z
LAST-MODIFIED:20210625T054601Z
UID:2158-1626264000-1626267600@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - A Song of Wind & Fire
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/acems-virtual-public-lecture-a-song-of-wind-fire/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210714T100000
DTEND;TZID=Australia/Brisbane:20210719T104500
DTSTAMP:20211026T024210Z
CREATED:20210709T023716Z
LAST-MODIFIED:20211026T024210Z
UID:2221-1626256800-1626691500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #1: Chris Rackauckas\, MIT
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/ai4pan-seminar-series-with-chris-rackauckas-mit/
LOCATION:Zoom
CATEGORIES:Seminar
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
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: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/2021-amsi-winter-school-on-statistical-data-science/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210705T090000
DTEND;TZID=Australia/Brisbane:20210709T150000
DTSTAMP:20210610T051526Z
CREATED:20210610T051526Z
LAST-MODIFIED:20210610T051526Z
UID:2017-1625475600-1625842800@australiandatascience.net
SUMMARY:Australian and New Zealand Statistical Conference (ANZSC2021)
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/australian-and-new-zealand-statistical-conference-anzsc2021/
LOCATION:Virtual – Zoom and Slack\, Australia
END:VEVENT
END:VCALENDAR