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X-WR-CALDESC:Events for Australian Data Science Network
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210726T110000
DTEND;TZID=Australia/Brisbane:20210802T150000
DTSTAMP:20210610T053238Z
CREATED:20210610T053238Z
LAST-MODIFIED:20210610T053238Z
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SUMMARY:ECSSC2021
DESCRIPTION:Early Career and Student Statistician Conference 2021 (formerly Young Statisticians Conference) \nThe Early Career & Student Statisticians Conference (ECSSC) 2021 will be held from 26 July to 1 August 2021. We are delighted to announce that we will be holding our conference virtually! ECSSC2021 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia. This event is not to be missed! For the first time we are offering a day for high school students with two streams (years 7-10 and 11-12). Registration for high school students is free of charge. \nTo keep up-to-date with ECSSC2021\, please go to the official conference website. \nWe are also offering a range of pre conference workshops that can be viewed here. \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
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210813T120000
DTEND;TZID=Australia/Brisbane:20210813T130000
DTSTAMP:20210812T220309Z
CREATED:20210812T220309Z
LAST-MODIFIED:20210812T220309Z
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SUMMARY:Going for Gold: Data Science and the Olympic Games
DESCRIPTION:Going for Gold: Data Science and the Olympic Games\n\nIn this Data Science in the News webinar\, we will explore the important role data science plays in sports and major events like the Olympics.\n\nRegister now\n\n\n\n\n\n\n\nModerator:\n\nDistinguished Professor Kerrie Mengersen – Director\, QUT Centre for Data Science\n\nPanellists:\n\nDr Lachlan Mitchell – Performance Scientist\, Queensland Academy of Sport\, Department of Tourism\, Innovation and Sport\nDr Paul Wu – Senior Lecturer\, Associate Investigator ARC Centre of Excellence for Mathematical & Statistical Frontiers and Centre for Data Science QUT\nDr Allan Hanh – Leader\, Centre of Excellence for Applied Sport Science Research at Queensland Academy of Sport\nProfessor Chris Drovandi – School of Mathematical Sciences\, Program Lead Program Leader Models and Algorithms Centre for Data Science\, QUT\nDr Char-lee Moyle – Senior Lecturer in Management\, QUT Business School\, Co-Leader Social Systems Domain Centre for Data Science\n\nMore about the Panel Session Topics\nDr Lachlan Mitchell: Data in the pool\nLachlan will provide an overview of the data QAS collects and analyses to help out athletes and coaches take on the world in the pool. \nDr Paul Wu: Finding a winning edge through data science: a swimming relay case study\nAs seen in the recent Tokyo Olympics\, swimming relays are a source of medal opportunities for Australia. With ever-increasing competition\, we show how statistical and machine learning approaches can help quantify factors that affect individual and team performances. We also developed a predictive model of gold and medalling probability given team make-up and strategy to support selectors and coaches. \nDr Allan Hanh: Interpreting the results of the Tokyo Olympics\nIn evaluating the performance of various nations at the Olympic Games\, commentators often refer to the number of medals won relative to national population\, but this is a flawed approach. In Tokyo\, the number of medals won was highly related to the size of national economies. The performance of some nations\, however\, differed from predictions derived from that relationship. Exploration of the reasons for the differences could yield insights to guide the evolving design of Australia’s high-performance sport system. \nProfessor Chris Drovandi: Who really won the Olympics?\nIn this talk\, Chris describes a statistical approach that can be used to adjust medal tallies for various factors such as GDP\, population size and number of athletes.  The method is applied to the Tokyo medal tally and some interesting outcomes are revealed. \nDr Char-lee Moyle: Reconceptualising the planning\, monitoring and evaluation of Mega Events: Possibilities for the Brisbane 2032 Olympic Games\nContemporary mega-events\, like the Olympic Games\, are iconic spectacles that can generate substantial economic activity and media attention for host nations\, as well as facilitate global peace and solidarity. However\, historical evidence of cost-blowouts\, exaggerated benefit claims for host nations\, and community disruption detract from potential benefits and have led to a rising crisis of confidence relating to the economic desirability of hosting the Olympic Games. This presentation will explore the history of mega event evaluation and the opportunities for better appraising the benefits for society. \nMore about the Moderator and Panellists\nDr Lachlan Mitchell is a Performance Scientist at the Queensland Academy of Sport specialising in the physiology of elite swimmers. He is a key member of the support team for a number of members of the Australian Dolphins and has supported coaches and athletes who have competed at the last three Olympic Games. Lachlan’s research has centred around new methods of assessing physiological and performance characteristics in elite swimmers\, methods of mathematically describing the relationship between training and performance and using data more effectively to inform training methods. \nDr Paul Wu is a senior lecturer in the School of Mathematical Sciences and a Chief Investigator in the Centre for Data Science (CDS). He is passionate about developing and applying Bayesian and machine learning methods to tackle complex\, real-world problems. Paul leads a number of collaborative projects between data science researchers\, applied researchers and industry practitioners\, especially in ecology\, and sports and fitness. \nDr Allan Hanh is a Strategic Advisor to the research unit of the Queensland Academy of Sport\, and also holds appointments as an Adjunct Professor at the University of Canberra and Griffith University. He is a former Chief Scientist of the Australian Institute of Sport\, where he worked for 27 years and still has an Honorary Emeritus position. He has a long history of involvement in research and the application of findings to practical work with sports. His research activities have included areas such as talent identification\, preparation of athletes for competition in the heat\, altitude training\, doping detection\, and development of technologies aimed at effective athlete monitoring in laboratory and field situations. \nProfessor Chris Drovandi is a Professor in Statistics and Data Science at the Queensland University of Technology (QUT)\, Australia.  He is currently the lead of the QUT Centre for Data Science Models and Algorithms Program. He is an Associate Investigator of the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers\, and an Associate Editor of Statistics and Computing. \nDr Char-lee Moyle is a Senior Lecturer in the School of Management and the Advance Queensland Innovation Metrics Mid-Career Research Fellow at the Queensland University of Technology. She is the co-lead of the Social Systems domain of the Centre for Data Science and a member of the Centre for Future Enterprise. Her domain expertise lies in the field of tourism and event economics.
URL:https://australiandatascience.net/event/going-for-gold-data-science-and-the-olympic-games/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210818T100000
DTEND;TZID=Australia/Brisbane:20210818T104500
DTSTAMP:20211026T024225Z
CREATED:20210722T013921Z
LAST-MODIFIED:20211026T024225Z
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SUMMARY:AI4Pandemics Talk #3: Jeremy Howard\, fast.ai & University of San Francisco
DESCRIPTION:Speaker: Jeremy Howard \nYouTube Recording \nTitle: How a little-known data scientist convinced the West to wear face masks \n\n\nAbstract:\nThe title of this talk is actually the title of an article in The Telegraph  about my journey in co-founding the Masks4All movement. I share how I found myself becoming the face of Masks4All globally\, and what I learned about making an impact as a data scientist.
URL:https://australiandatascience.net/event/ai4pandemics-talk3-jeremy-howard/
LOCATION:Zoom
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210823T110000
DTEND;TZID=Australia/Brisbane:20210825T133000
DTSTAMP:20210820T053333Z
CREATED:20210820T052924Z
LAST-MODIFIED:20210820T053333Z
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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
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210824T080000
DTEND;TZID=Australia/Brisbane:20210824T170000
DTSTAMP:20210824T211948Z
CREATED:20210824T045751Z
LAST-MODIFIED:20210824T211948Z
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SUMMARY:Threat or opportunity: Will healthcare Artificial Intelligence de-skill clinicians?
DESCRIPTION:Threat or opportunity: Will healthcare Artificial Intelligence de-skill clinicians?\nProgress in Artificial Intelligence (AI) promises to transform the delivery of healthcare\, including in screening and diagnosis. These AI tools promise to improve the accuracy and speed of results for patients\, and to make clinical workflows more efficient and productive. However AI implementation also raises risks\, including clinician deskilling: deterioration of the practical clinical skills\, decision-making capacity\, and diagnostic reasoning of human clinicians. \nRegister now
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:20210825T100000
DTEND;TZID=Australia/Brisbane:20210825T104500
DTSTAMP:20211026T024232Z
CREATED:20210817T013237Z
LAST-MODIFIED:20211026T024232Z
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SUMMARY:AI4Pandemics Talk #4: Joel Miller\, La Trobe University
DESCRIPTION:AI4Pandemics Seminar Series \nSpeaker: Joel Miller La Trobe University \nYouTube Recording \nTitle: COVID and the misunderstood denominator… \nAbstract: Like past epidemics\, the efforts to stop the transmission of SARS-CoV-2 have been hindered by the parallel transmission of misinformation (inaccurate information) as well as disinformation (intentionally deceptive inaccurate information).  Unlike historical epidemics\, the social media landscape has accelerated the spread of misinformation.  I will discuss the role misinformation has played in the pandemic.
URL:https://australiandatascience.net/event/ai4pandemics-talk4-joel-miller-la-trobe-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
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