BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australian Data Science - ECPv6.16.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Australian Data Science
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20200101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220224T120000
DTEND;TZID=Australia/Brisbane:20220224T130000
DTSTAMP:20220220T232237Z
CREATED:20220125T000839Z
LAST-MODIFIED:20220220T232237Z
UID:2883-1645704000-1645707600@australiandatascience.net
SUMMARY:ADSN Data Ethics Workshop #2
DESCRIPTION:ADSN Data Ethics Workshop #2\nThis is the second of two workshops/discussions in our data ethics series for the Australian Data Science Network. 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. We will hear a series of lightning talks from our guest  guest speakers followed by a discussion with all participants. Our speakers for this workshop are: \n\nCatarina Pinto Moreira (QUT): “Towards Human-Centric XAI using Eye Tracking in Chest Xrays”\nYves Saint James Aquino (Univ of Wollongong):  “Narrow vs Broad Understandings of Algorithmic Bias among Stakeholders in Healthcare AI”\nMichael Evans (Evans AI): “The Role of Policy in Data Ethics”\n\nZOOM LINK\nPassword: 762923 \nRequest a Calendar Invite
URL:https://australiandatascience.net/event/adsn-data-ethics-workshop-2/
LOCATION:Zoom
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220210T190000
DTEND;TZID=Australia/Brisbane:20220210T200000
DTSTAMP:20220131T014649Z
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:20220128T120000
DTEND;TZID=Australia/Brisbane:20220128T130000
DTSTAMP:20220125T025442Z
CREATED:20220111T235910Z
LAST-MODIFIED:20220125T025442Z
UID:2784-1643371200-1643374800@australiandatascience.net
SUMMARY:ADSN Data Ethics Workshop #1
DESCRIPTION:This is the first of two workshops/discussions in our data ethics series for the Australian Data Science Network. \nWe will hear a series of lightning talks on topics including data validity\, Indigenous-led AI\, the false hope of explainability\, and value alignment in AI.  Half the time will be spent in discussion with all participants. The aim of this series is to share open questions\, spark discussion\, and facilitate collaborations. \nThe workshops will be led by Professor Rachel Thomas\, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. Our guest speakers for this workshop are: \n\nBen Hutchinson (Google Sydney) – Checking Assumptions Regarding Data Validity\nLauren Oakden-Rayner (Univ of Adelaide) – The False Hope of Explainability in Medicine\nAaron Snoswell (QUT) – The Value Alignment Problem in AI\nCathy Robinson (CSIRO) – Indigenous-led AI \n\nZOOM LINK\nPassword: 762923 \nREQUEST A CALENDAR INVITE\n 
URL:https://australiandatascience.net/event/data-ethics-workshop-1/
LOCATION:Zoom
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220119T100000
DTEND;TZID=Australia/Brisbane:20220119T104500
DTSTAMP:20220119T070556Z
CREATED:20211213T064650Z
LAST-MODIFIED:20220119T070556Z
UID:2774-1642586400-1642589100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #13: Jude Kong\, York University
DESCRIPTION:Title: The impact of social\, economic\, environmental factors on the dynamics of COVID-19 \nAbstract: The COVID-19 pandemic has reached a stage where there is now sufficient data to infer whether the basic reproduction number (R0) varies across countries\, and what demographic\, social\, and environmental factors\, other than interventions\, characterize vulnerability to the virus. In this talk\, I will present the first global estimate of R0 across all continents\, and the results of a comprehensive investigation on what social\, economic\, and environmental factors characterize vulnerability to the virus. Understanding how space and time dependent factors predispose a community to a different COVID-19 rate of increase is essential to assessing the efficacy of interventions.
URL:https://australiandatascience.net/event/ai4pandemics-talk-13-jude-kong-york-university/
CATEGORIES:Past event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220110
DTEND;VALUE=DATE:20220205
DTSTAMP:20211129T235611Z
CREATED:20211129T235520Z
LAST-MODIFIED:20211129T235611Z
UID:2767-1641772800-1644019199@australiandatascience.net
SUMMARY:AMSI Summer School 2022 – Hybrid event hosted by UTS
DESCRIPTION:Study up to two of our eight honours-level mathematical science subjects with specialist lecturers from around Australia. You can even take a subject for credit! Deepen your knowledge\, explore a new branch of mathematics or get a fresh perspective on your research. With program extras including social events\, special lectures and a Careers Day featuring potential employers\, there has never been a better time to expand your mathematical world. We welcome all honours and postgraduate students\, and early career researchers in the mathematical sciences and cognate disciplines to join us. Scholarships available.
URL:https://australiandatascience.net/event/amsi-summer-school-2022-hybrid-event-hosted-by-uts/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211215T100000
DTEND;TZID=Australia/Brisbane:20211215T104500
DTSTAMP:20211213T064026Z
CREATED:20211026T024901Z
LAST-MODIFIED:20211213T064026Z
UID:2749-1639562400-1639565100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #12: Pranesh Padmanabhan\, The University of Queensland
DESCRIPTION:Zoom link \nTitle: Predicting the effectiveness of COVID-19 vaccines and treatments \nAbstract: \nThe raging global COVID-19 pandemic has triggered enormous global efforts to develop and improve COVID-19 vaccines and antiviral treatments. Predicting the efficacy of COVID-19 vaccines and treatments would aid in the identification of optimal vaccine/treatment development and usage strategies. In this talk\, I will first describe our multiscale mathematical model that presents mechanistic links between COVID-19 vaccine efficacies and the vaccine-induced neutralisation antibody responses. I will then discuss a mathematical model of SARS-CoV-2 entry into target cells that unravels an unexpected synergy between antivirals targeting the different virus entry pathways.
URL:https://australiandatascience.net/event/ai4pandemics-talk-12-pranesh-padmanabhan-the-university-of-queensland/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211201T100000
DTEND;TZID=Australia/Brisbane:20211201T104500
DTSTAMP:20211026T024926Z
CREATED:20211026T024705Z
LAST-MODIFIED:20211026T024926Z
UID:2747-1638352800-1638355500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #11: Amalie Dyda\, The University of Queensland
DESCRIPTION:Title: Associations between vaccine coverage and vaccine information exposure on Twitter \nZoom link \nAbstract:\nVaccination is a key public health measure to control the spread of vaccine preventable diseases\, highlighted by the current COVID-19 pandemic. However\, uptake of adult vaccination is influenced by a number of factors including awareness\, perceived risk and safety\, which may be affected by exposure to misinformation. With current high levels of social media use\, many individuals may now be influenced by health information in this medium which can include exposure to vaccine misinformation. This seminar will describe a case study\, using Human papillomavirus (HPV) vaccination as an example\, of an investigation into associations between information people are exposed to on social media and levels of vaccination coverage and discuss future directions for research.
URL:https://australiandatascience.net/event/ai4pandemics-talk-11-amalie-dyda-the-university-of-queensland/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211201T093000
DTEND;TZID=Australia/Brisbane:20211201T103000
DTSTAMP:20211123T051032Z
CREATED:20211123T051032Z
LAST-MODIFIED:20211123T051032Z
UID:2759-1638351000-1638354600@australiandatascience.net
SUMMARY:AI for Social Impact - Monash Prato Dialogue
DESCRIPTION:  \nWith the maturing of AI and multiagent systems research\, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. \nJoin the Monash Data Futures Institute at the Monash Prato Dialogue lecture series in AI as they host Professor Milind Tambe from Harvard University\, who will focus on the problems of public health and conservation\, and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. He will present results from work around the globe in using AI for HIV prevention\, maternal and child care interventions\, TB prevention and COVID modelling\, as well as for wildlife conservation. \n  \nDate and time:\nWednesday 1 December\, 9:30 am AEDT \n  \nREGISTER NOW
URL:https://australiandatascience.net/event/ai-for-social-impact-monash-prato-dialogue/
LOCATION:Zoom
CATEGORIES:Event,Webinar
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211117T100000
DTEND;TZID=Australia/Brisbane:20211117T104500
DTSTAMP:20211026T024058Z
CREATED:20211026T024058Z
LAST-MODIFIED:20211026T024058Z
UID:2739-1637143200-1637145900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #10: Lewis Mitchell\, The University of Adelaide
DESCRIPTION:Zoom Link
URL:https://australiandatascience.net/event/ai4pandemics-talk-10-lewis-mitchell-the-university-of-adelaide/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211103T100000
DTEND;TZID=Australia/Brisbane:20211103T104500
DTSTAMP:20211026T024154Z
CREATED:20211025T223328Z
LAST-MODIFIED:20211026T024154Z
UID:2737-1635933600-1635936300@australiandatascience.net
SUMMARY:AI4Pandemics Talk #9: Romesh Abeysuriya\, Burnet Institute
DESCRIPTION:Title: Long-term COVID-19 strategies with intermittent control measures \nZoom Link \nAbstract: The COVID-19 vaccines used in Australia have all demonstrated high efficacy against severe disease and death. However\, multiple models have shown that the combination of imperfect protection against infection and more infectious variants means that Australia\, and other countries globally\, are unlikely to achieve herd immunity. A key question is therefore what control strategies are proportionate and sustainable\, in a world with high vaccine coverage\, no herd immunity\, and ongoing importations of cases into the community from relaxed quarantine and increased travel. In this seminar\, I will present a modelling study carried out by the Burnet Institute where we used the Covasim model to explore options for using intermittent measures to maintain long-term epidemic control.
URL:https://australiandatascience.net/event/ai4pandemics-talk9-romesh-abeysuriya-burnet-institute/
CATEGORIES:Event
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20211029T120000
DTEND;TZID=Australia/Brisbane:20211029T133000
DTSTAMP:20210917T055107Z
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:20211012T024155Z
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: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:Title: Contribution of mathematical modelling to COVID-19 response strategies in regional and remote Australian Aboriginal and Torres Strait Islander communities \nZoom Link \n\n\nAbstract:\nThe health and science communities recognised early on in the SARS-CoV-2 pandemic that Aboriginal and Torres Strait Islander Australians were likely to be at high risk of COVID-19 infection and severe outcomes\, due to high rates of comorbidities associated with severe outcomes\, and multiple factors predisposing to increased SARS-CoV-2 transmission. In March 2020\, the Australian Government convened the Aboriginal and Torres Strait Islander Advisory Group on COVID-19 (IAG)\, co-chaired by the Department of Health and the National Aboriginal Community Controlled Health Organisation. The role of the IAG was to develop and deliver a National Management Plan to protect Aboriginal and Torres Strait Islander communities. Our research groups—located at the Doherty Institute\, the Kirby Institute and La Trobe University—were commissioned to carry out modelling\, under the guidance of the IAG\, to help inform aspects of this plan related to regional and remote communities. In this presentation I will describe how we used modelling to address a number of questions of interest to the IAG regarding the importance of a timely response to the first identified case of COVID-19\, who should be quarantined and/or tested in communities\, and whether there is a role for community-wide lockdown in initial containment.
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:Early Career Researchers Competition\nThe Early Career Researchers Competition is an annual competition run by the Cooperative Research Centres Association celebrating research and challenging early career researchers to enhance their communication skills\, receive peer review\, and gain skills surrounding the presentation of their research to a broad audience. \nFind out more
URL:https://australiandatascience.net/event/early-career-researchers-competition/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane: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:Title: CRISPER: COVID-19 Real-time Information System for Preparedness and Epidemic Response \nZoom Link \nAbstract: A major challenge during the COVID-19 pandemic has been the need to share data and information public while protecting data privacy.  Effective communication of real-time data is critical for informing risk assessment and decision making\, and to support a unified national response. Real-time dashboards have become important platforms for information sharing during the COVID-19 pandemic. This presentation will describe the development of CRISPER\, a COVID-19 Real-time Information System for Preparedness and Epidemic Response\, including the challenges experience.  CRISPER includes a suite of interactive visualisation and mapping tools and automatic alerts for COVID-19 cases\, deaths\, testing\, and contact tracing exposure sites across Australia. The system also allows the use of differential privacy algorithms to protecting data privacy. \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:ACEMS Virtual Public Lecture – Optimal decision making: a tribute to female ingenuity\nACEMS is proud to host this virtual public lecture celebrating Ada Lovelace Day and the significant contribution of women in STEM. \nRegister now
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:Title: The Algorithm will see you now
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:WIMSIG Conference 2021: Celebration of Women in Australian Mathematical and Statistical Sciences\nThe WIMSIG Conference 2021 (postponed from 2020) will now be taking place at a range of “local hubs” on Friday 1st October this year. There will be events in Brisbane\, Sydney\, Melbourne\, Hobart\, Adelaide\, and Perth. This one-day conference will have a mixture of local (in-person) activities and joint online activities. Local activities may include the opportunity for participants to present their research. \nThe COVID-19 situation is ever changing. Contingency plans are in place to ensure an interesting event will take place\, whether you are able to attend in person or online. Local organisers of in person events need to finalise their COVID safe plans\, so please register your proposed attendance. \nRegister now
URL:https://australiandatascience.net/event/wimsig-conference-2021-celebration-of-women-in-australian-mathematical-and-statistical-sciences/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20210930T163000
DTEND;TZID=Australia/Brisbane:20210930T180000
DTSTAMP:20210909T065257Z
CREATED:20210909T065257Z
LAST-MODIFIED:20210909T065257Z
UID:2636-1633019400-1633024800@australiandatascience.net
SUMMARY:EC Bayes Seminar: Francesca Crucinio\, University of Warwick - A particle method for Fredholm Integral Equations of the First Kind
DESCRIPTION:EC Bayes Seminar: Francesca Crucinio\, University of Warwick – A particle method for Fredholm Integral Equations of the First Kind\nWe present a novel method for the solution of Fredholm integral equations of the first kind\, a set of ill-posed inverse problems which model\, among others\, reconstruction of images from distorted noisy observations and indirect density estimation. This novel method is based upon a non-standard sequential Monte Carlo (SMC) algorithm which provides a stochastic discretisation of a smoothed expectation maximisation scheme (EMS) usually implemented under the assumption of piecewise constant solutions. The stochastic discretisation provided by SMC does not assume piecewise constant signals and results in smooth approximate solutions. We analyse the theoretical properties of the EMS iteration\, showing existence of a fixed point\, and of the corresponding SMC algorithms. We compare the novel method with alternatives using a simulation study and present results for realistic systems\, including motion deblurring and reconstruction of cross-section images of the brain from positron emission tomography. \nRegister now
URL:https://australiandatascience.net/event/ec-bayes-seminar-francesca-crucinio-university-of-warwick-a-particle-method-for-fredholm-integral-equations-of-the-first-kind/
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane: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: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: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:Distinguished Visitor Seminar – Assistant Professor Linda Tan\nThe Centre for Data Science Distinguished Visitor Seminar Series has been created to provide a platform for our esteemed colleagues from across the nation and the globe to share their research\, knowledge and expertise in the field of data science. \nRegister now \nThe next seminar will be presented by Linda S. L. Tan. Linda is an Assistant Professor in the Department of Statistics and Data Science at the National University of Singapore. Her research interests are in variational approximation methods and improving the accuracy and rate of convergence of Bayesian computational algorithms. In this seminar\, Linda will present: \nEfficient data augmentation techniques for state space models\nWe propose a data augmentation scheme for improving the rate of convergence of the EM algorithm in estimating Gaussian state space models. The scheme considers a linear transformation of the latent states in which two working parameters are introduced for rescaling and recentering. We derive optimal values of the working parameters by minimizing the fraction of missing information and study their large sample properties and dependence on the persistence and signal-to-noise ratio. An alternating expectation-conditional maximization (AECM) algorithm is designed to take advantage of the proposed scheme and shown to be a more attractive alternative to the centered parametrization (CP) or noncentered parametrization (NCP). We extend earlier results to Bayesian Markov chain Monte Carlo (MCMC) algorithms for non-Gaussian state space models\, focusing on the stochastic volatility and stochastic conditional duration models. A block-specific reparametrization (BSR) strategy for multi-block MCMC samplers is proposed which enables the EM data augmentation scheme to be applied to non-Gaussian models via a mixture of normals approximation. Applications on simulated data and benchmark real data sets indicate that the BSR strategy can yield improvements in simulation efficiency compared with the CP or NCP\, and sometimes even over ASIS (which interweaves the CP and NCP). \n*** This will be an online event only. A Zoom link will be emailed to registrants on the day of the event. ***
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:Data-driven queueing challenges\nThe increasing availability of data in the operation of large computer networks and the management of human service systems creates new problems in queueing theory. To respond\, ACEMS and NETWORKS are co-sponsoring an on-line workshop on `Data-driven queueing challenges’\, in association with The Alan Turing Institute. \nThe workshop brings together researchers from statistics\, stochastic modelling and data science to consider research directions in modelling and controlling queues\, and in dealing with parameter uncertainty\, when there is access to operational data. \nThe program contains 16 speakers and 2 panel discussions. \nRegister now
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: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:20210903T051044Z
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: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:ADSN Workshop: Synthetic Data\nWe’ve had recent interest from industry about simulating realistic data from complex systems. There are many situations where sensitivities of real data make synthetic data safer to handle. We (QUT) would like to convene a workshop to engage researchers with capabilities and interests in synthetic data and open up possibilities for further connection and collaboration. \nPlease contact us if you would like to receive an invitation to this online workshop \n\n\n\n\n\n\n1:00PM – 1:10PM\nWelcome & overview of workshop\nPurpose of workshop and quick introductions\nDistinguish Professor Kerrie Mengersen \nQUT Centre for Data Science\n\n\n1:10PM – 1:20PM\nOverview of synthetic data generation \nIn this overview\, Connor will provide a short literature review and summary of main features when it comes to synthetic data generation.\nConor Hassan\nQUT Centre for Data Science\n\n\n1:20PM – 1:35PM\nGRATIS: GeneRAting TIme Series with diverse and controllable characteristics \nDescription: Synthetic time series are useful for benchmarking and testing methods for forecasting\, clustering\, classification and other tasks. I will discuss an approach to this where we can generate time series with diverse and controllable characteristics using mixture autoregressive (MAR) models. This can be done with the gratis package for R.\nProfessor Rob Hyndman\nMonash University \n\n\n1:35PM – 1:50PM\nDeep Learning Techniques for Dealing with Lack of Data\nIn this talk\, we will present progressive transfer learning methods to deal the data problems such as the lack of labelled data and data shifts. We present an alternative approach to complement the datasets available.\nAssociate Professor Richi Nayak\nQUT Centre for Data Science\n\n\n\n Opportunity for Spotlight Talks \n\n\n\n2:00PM – 2:15PM\nSynthetic data generation using moment-based density estimation \nIn this talk\, we introduce a new synthetic data generation method based on estimated multivariate density function\, which is constructed from the sample moments information of the original data.\nBradley Wakefield\nUniversity of Wollongong (NIASRA) \n\n\n2:15PM – 2:30 PM\nGenerating artificial video data to train machine learning algorithms\nThis talk will present early work on the creation of synthetic video data using motion capture and CGI for use in training of human action recognition models.\nAnthony Paproki\nQUT Centre for Data Science\n\n\n\n Opportunity for discussion\nLearnings & where to from here?
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:Title: Fighting COVID-19 at Cornell University \nYouTube Recording \n\n\nAbstract\nUniversities around the world faced a challenging decision during the summer of 2020: whether to reopen for in-person instruction despite the pandemic and how to protect campus populations if they did. Operations research and data science were a fundamental part of these decisions at Cornell University in the USA. First\, models developed by Cornell’s COVID-19 Mathematical Modeling Team were used to design the testing interventions that are a cornerstone of Cornell’s COVID-19 control strategy: targeted asymptomatic screening that tests all undergraduates twice per week and an adaptive testing program that goes beyond traditional contact tracing to test the full social circle of positive cases. Second\, these same models were the basis for Cornell’s decision to reopen for a fall semester with in-person instruction. They showed that reopening with aggressive mandatory testing was surprisingly less risky than virtual instruction. Data suggested that thousands of students would return to the area whether in-person instruction was offered or not\, and a weaker ability to enforce mandatory testing for these students risked being unable to control clusters in that population. Reopening with asymptomatic screening was successful\, with only 0.5% of students\, staff and faculty infected over the semester. This talk will share insights from this experience and explain practical tools that supported this work.
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: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: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: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
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: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:20210823T110000
DTEND;TZID=Australia/Brisbane:20210825T133000
DTSTAMP:20210820T053333Z
CREATED:20210820T052924Z
LAST-MODIFIED:20210820T053333Z
UID:2482-1629716400-1629898200@australiandatascience.net
SUMMARY:Shaping the Future of Data Science: Research Spotlight Series
DESCRIPTION:Shaping the Future of Data Science: Research Spotlight Series\nWelcome to this Research Spotlight Series on ‘Shaping the Future of Data Science’. This conference aims to highlight the excellent research being undertaken by Australia’s female data scientists. \nSpeakers from across the country will give ten-minute spotlight presentations about their work\, challenges and opportunities. We are excited to learn\, share and grow our community in this way. \nFind out more
URL:https://australiandatascience.net/event/shaping-the-future-of-data-science-research-spotlight-series/
CATEGORIES:Event
END:VEVENT
END:VCALENDAR