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X-WR-CALDESC:Events for Australian Data Science Network
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DTSTART;VALUE=DATE:20210629
DTEND;VALUE=DATE:20210701
DTSTAMP:20210624T020310Z
CREATED:20210624T015831Z
LAST-MODIFIED:20210624T020310Z
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SUMMARY:ACEMS Impact Workshop for Researchers and Students
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-impact-workshop-for-researchers-and-students-2/
CATEGORIES:Online workshop
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DTSTART;TZID=Australia/Brisbane:20210623T093000
DTEND;TZID=Australia/Brisbane:20210623T103000
DTSTAMP:20210617T012300Z
CREATED:20210617T012259Z
LAST-MODIFIED:20210617T012300Z
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SUMMARY:Bayesian hierarchical stacking—All models are wrong\, but some are somewhere useful
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/bayesian-hierarchical-stacking-all-models-are-wrong-but-some-are-somewhere-useful/
CATEGORIES:Webinar
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DTSTART;TZID=Australia/Brisbane:20210622T180000
DTEND;TZID=Australia/Brisbane:20210622T193000
DTSTAMP:20210604T042940Z
CREATED:20210602T231905Z
LAST-MODIFIED:20210604T042940Z
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SUMMARY:AI and the Future of Education
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/ai-and-the-future-of-education/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210621T000000
DTEND;TZID=Australia/Brisbane:20210723T000000
DTSTAMP:20210610T054119Z
CREATED:20210610T054008Z
LAST-MODIFIED:20210610T054119Z
UID:2031-1624233600-1626998400@australiandatascience.net
SUMMARY:ECSSC2021 Video 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/ecssc2021-video-competition/
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
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DTSTART;TZID=Australia/Brisbane:20210616T140000
DTEND;TZID=Australia/Brisbane:20210616T150000
DTSTAMP:20210604T072211Z
CREATED:20210604T072151Z
LAST-MODIFIED:20210604T072211Z
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SUMMARY:Hosted by ACEMS | Oracle for Research Grants to Support Researchers\, Data & Projects
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/hosted-by-acems-oracle-for-research-grants-to-support-researchers-data-projects/
CATEGORIES:Online workshop
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