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X-WR-CALDESC:Events for Australian Data Science
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
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DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220429T100000
DTEND;TZID=Australia/Brisbane:20220429T113000
DTSTAMP:20260429T060601
CREATED:20220408T000717Z
LAST-MODIFIED:20220408T001106Z
UID:3166-1651226400-1651231800@australiandatascience.net
SUMMARY:Like the layers of an onion: Reproducibility and transparency in quantitative research
DESCRIPTION:Professor Ben Marwick\, University of Washington (USA)\nFriday\, 29 April\, 10 am – 11:30 am AEST\n\nThe successful reproducibility of research is fundamental to its reliability\, usefulness and value to the research community and to society. However\, as the computational complexity of research increases\, methods and tools for ensuring the reproducibility are yet to become mainstream. In this presentation Prof Ben Marwick (University of Washington) will describe an emerging consensus on ways of improving the computational reproducibility of social and natural science research. A ‘layered reproducibility’ approach to organise the various technologies available to enhance reproducibility in terms of effort to implement and payoff will be described. This approach has five layers and Ben will present their corresponding tools and technologies. \nPresented as part of the University of Wollongong Data and Decision Science Initiative \nREGISTER FOR YOUR WEBINAR LINK
URL:https://australiandatascience.net/event/like-the-layers-of-an-onion-reproducibility-and-transparency-in-quantitative-research/
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220210T190000
DTEND;TZID=Australia/Brisbane:20220210T200000
DTSTAMP:20260429T060601
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:20211201T093000
DTEND;TZID=Australia/Brisbane:20211201T103000
DTSTAMP:20260429T060601
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:20211029T120000
DTEND;TZID=Australia/Brisbane:20211029T133000
DTSTAMP:20260429T060601
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/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211021T160000
DTEND;TZID=Australia/Brisbane:20211021T170000
DTSTAMP:20260429T060601
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:20210930T163000
DTEND;TZID=Australia/Brisbane:20210930T180000
DTSTAMP:20260429T060601
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:20210924T120000
DTEND;TZID=Australia/Brisbane:20210924T133000
DTSTAMP:20260429T060601
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/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210917T120000
DTEND;TZID=Australia/Brisbane:20210917T130000
DTSTAMP:20260429T060601
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/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210915T120000
DTEND;TZID=Australia/Brisbane:20210915T130000
DTSTAMP:20260429T060601
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/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210901T120000
DTEND;TZID=Australia/Brisbane:20210901T130000
DTSTAMP:20260429T060601
CREATED:20210812T221534Z
LAST-MODIFIED:20210812T223224Z
UID:2400-1630497600-1630501200@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - The Origami of Data Science
DESCRIPTION:ACEMS Virtual Public Lecture – The Origami of Data Science\nMany of us know about origami – where a flat square of paper is folded into a sculpture that inspires appreciation and imagination. In the same way\, we might think about origami (or perhaps more accurately ‘oridēta’) in the context of data science\, whereby a data analysis method or computational algorithm is folded into a software product that inspires interpretation and implementation.\nIn this public lecture\, Professor Mengersen will discuss our attempts at the origami of data science. These include folding new methods and computational approaches into products such as an online atlas of cancer (atlas.cancer.org.au)\, a virtual Great Barrier Reef (virtualreef.org.au)\, an ethical social discourse platform (betterbeliefs.com.au)\, and a personalised learning program (qutschoolofmaths.shinyapps.io/uncoursetoolapp/). \nRegister now \nAlthough the foundations are statistical\, our sculptures require a broad team of experts from the mathematical\, statistical\, and computer sciences\, and they need to be appreciated\, interpreted\, imagined\, and implemented by domain experts and users. \nThis lecture is 45-minute presentation followed by Q & A. \nThis lecture is part of the ACEMS Virtual Public Lecture Series – click here to view other lectures in the series. \nAbout the speaker\nKerrie Mengersen is a Distinguished Professor of Statistics at QUT\, a Deputy Director of ACEMS\, and a Director of the QUT Centre for Data Science. \nKerrie is an elected Fellow of the Australian Academy of Science and the Academy of Social Sciences\, as well as the Queensland Academy of the Arts and Sciences. Her research focuses on Bayesian models and computational methods\, and their application to challenging problems in health\, the environment\, and industry.
URL:https://australiandatascience.net/event/acems-virtual-public-lecture-the-origami-of-data-science/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210824T080000
DTEND;TZID=Australia/Brisbane:20210824T170000
DTSTAMP:20260429T060601
CREATED:20210824T045751Z
LAST-MODIFIED:20210824T211948Z
UID:2549-1629792000-1629824400@australiandatascience.net
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:20210813T120000
DTEND;TZID=Australia/Brisbane:20210813T130000
DTSTAMP:20260429T060601
CREATED:20210812T220309Z
LAST-MODIFIED:20210812T220309Z
UID:2396-1628856000-1628859600@australiandatascience.net
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210729T140000
DTEND;TZID=Australia/Brisbane:20210729T153000
DTSTAMP:20260429T060601
CREATED:20210702T020141Z
LAST-MODIFIED:20210702T020141Z
UID:2175-1627567200-1627572600@australiandatascience.net
SUMMARY:Data Science Under the Hood: Manifold Learning
DESCRIPTION:Data Science Under the Hood: Manifold Learning\nThis talk introduces Manifold Learning\, the technique to uncover the intrinsic shape of the original data. We also discuss how different manifold learning paradigms can be designed to be incorporated to a dimensionality reduction technique to learn the accurate low-dimensional data representation. \nRegister now
URL:https://australiandatascience.net/event/data-science-under-the-hood-manifold-learning/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210714T120000
DTEND;TZID=Australia/Brisbane:20210714T130000
DTSTAMP:20260429T060601
CREATED:20210625T053614Z
LAST-MODIFIED:20210625T054601Z
UID:2158-1626264000-1626267600@australiandatascience.net
SUMMARY:ACEMS Virtual Public Lecture - A Song of Wind & Fire
DESCRIPTION:ACEMS Virtual Public Lecture – A Song of Wind & Fire: a statistical journey through an uncertain world\n\n\nIn this lecture\, ACEMS Associate Investigator Dr Rachael Quill will explore how shedding light on the uncertainties of wind flow across the environment can support informed decision-making in bushfire management and renewable energy generation.\nThe weather and its uncertainties influence our decisions every day. Did you take an umbrella today\, just in case\, or did you get caught in that shower? In many scenarios\, being unprepared for the unknown might only mean a dampening of our pride. But in others\, the cost of not understanding uncertainty can be catastrophic. \n\nRegister now
URL:https://australiandatascience.net/event/acems-virtual-public-lecture-a-song-of-wind-fire/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210623T093000
DTEND;TZID=Australia/Brisbane:20210623T103000
DTSTAMP:20260429T060601
CREATED:20210617T012259Z
LAST-MODIFIED:20210617T012300Z
UID:2043-1624440600-1624444200@australiandatascience.net
SUMMARY:Bayesian hierarchical stacking—All models are wrong\, but some are somewhere useful
DESCRIPTION:Bayesian hierarchical stacking—All models are wrong\, but some are somewhere useful\nStacking is a widely used model averaging technique. Like many other ensemble methods\, stacking is more effective when model predictive performance is heterogeneous in inputs\, in which case we can further improve the stacked mixture with a hierarchical model. In this talk I will focus on the recent development of Bayesian hierarchical stacking: an approach that locally aggregates models. The weight is  a function of data\, partially-pooled\, inferred using Bayesian inference\,  and can further incorporate other structured priors and complex data. I will also discuss some theory bounds: when and why model averaging is useful; what model dissimilarity metric is relevant to Bayesian ensembles. \nRegister now
URL:https://australiandatascience.net/event/bayesian-hierarchical-stacking-all-models-are-wrong-but-some-are-somewhere-useful/
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210622T180000
DTEND;TZID=Australia/Brisbane:20210622T193000
DTSTAMP:20260429T060601
CREATED:20210602T231905Z
LAST-MODIFIED:20210604T042940Z
UID:1994-1624384800-1624390200@australiandatascience.net
SUMMARY:AI and the Future of Education
DESCRIPTION:AI and the Future of Education\nMonash Education\, in collaboration with the Monash Data Futures Institute\, is organizing a panel discussion on “AI and the future of education” with internationally acclaimed researchers who will cast a critical eye on the increasing attention being paid to AI-driven applications and systems in education. \nThe panel will explore questions like “what forms of AI technology are being implemented in education\, and what implications do they have for students\, teachers and education institutions?” and “how do the imagined educational benefits of AI contrast with the practical limitations of actually using these technologies?”. \nRegister now
URL:https://australiandatascience.net/event/ai-and-the-future-of-education/
CATEGORIES:Webinar
END:VEVENT
END:VCALENDAR