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:20220829T160000
DTEND;TZID=Australia/Brisbane:20220829T170000
DTSTAMP:20220811T003852Z
CREATED:20220811T003852Z
LAST-MODIFIED:20220811T003852Z
UID:3606-1661788800-1661792400@australiandatascience.net
SUMMARY:Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology
DESCRIPTION:This is presented by the Bayesian Section of the Statistical Society of Australia \nGuest speaker: Dr Marina Riabiz\, King’s College\, London \nAbstract: \nCalcium is the end-point intracellular signal driving cardiac myocyte contraction\, and its dynamic is described through coupled ordinary differential equations (ODEs). Markov Chain Monte Carlo (MCMC) can be used to characterize the posterior distribution of the parameters of the cardiac ODEs\, which can then serve as an experimental design for multi-scale models of the whole hearth. However\, MCMC suffers from poor mixing in high-dimensional settings\, so post-processing of the MCMC output is required. Existing heuristics to assess the convergence and compress the MCMC output can produce sub-optimal empirical approximations\, that suffer from bias-variance trade-offs if the length of the MCMC output is fixed. In this talk\, I will present a novel method that retrospectively selects a subset of states\, of fixed cardinality\, from the sample path\, such that the approximation provided by their empirical distribution is close to optimal. This is based on greedy minimisation of a kernel Stein discrepancy\, and it is suitable when the gradient of the log-target can be evaluated and an approximation using a small number of states is required. Theoretical results guarantee consistency of the method and I will demonstrate its effectiveness in the cardiac electrophysiology problem at hand\, together with interesting biological findings.
URL:https://australiandatascience.net/event/kernel-stein-discrepancy-minimization-for-mcmc-thinning-in-cardiac-electrophysiology/
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220824T180000
DTEND;TZID=Australia/Brisbane:20220824T193000
DTSTAMP:20220811T003509Z
CREATED:20220811T003509Z
LAST-MODIFIED:20220811T003509Z
UID:3603-1661364000-1661369400@australiandatascience.net
SUMMARY:The design and analysis of a two-phase experiments involving human subjects
DESCRIPTION:This is a meeting of the South Australian Branch of the Statistical Society of Australia. \nGuest presenter: Chris Brien\, Adjunct Associate Professor\, UniSA STEM\, The University of South Australia; Senior Biostatistician\, The Australian Plant Phenomics Facility\, University of Adelaide \nTwo-phase experiments were introduced in 1952 by the Australian statistician George McIntyre. Their use has been most prevalent in agriculture experiments\, especially plant breeding experiments. However\, there is the potential for their application to be much more widespread. This potential is not being realized because of a lack of awareness of multiphase experiments within the statistical community.
URL:https://australiandatascience.net/event/the-design-and-analysis-of-a-two-phase-experiments-involving-human-subjects/
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220819T120000
DTEND;TZID=Australia/Brisbane:20220819T130000
DTSTAMP:20220805T052254Z
CREATED:20220805T052254Z
LAST-MODIFIED:20220805T052254Z
UID:3554-1660910400-1660914000@australiandatascience.net
SUMMARY:ADSN Workshop: Australia's Data-enabled Research Future
DESCRIPTION:This workshop will explore the just-released reports from the ARDC\, the Australian Council of Learned Academies (ACOLA) and the five Learned Academies to help build a more coherent data policy and uplift our national data capabilities for researchers. \n\nCLICK HERE FOR ZOOM LINK\nIf asked\, passcode is 038636\n\nQUT Centre for Data Science Director Kerrie Mengersen will moderate the discussion. Our guests for the workshop are: \n\nShannon Callaghan\, Senior Policy Advisor for the ADRC. Shannon was the program manager for the whole set of projects at each of the Academies and ACOLA\nIsabel Ceron\, Senior Policy Analyst for the Academy of Social Sciences of Australia\nProf Louisa Jorm\, Foundation Director of the Centre for Big Data Research in Health at UNSW Sydney. Prof Jorm chaired the Steering Committee for the report from the Australian Academy of Health and Medical Sciences\nProf Lesley Wyborn\, Australian National University. Prof Wyborn is Chair of the Data in Science Committee for the Australian Academy of Science
URL:https://australiandatascience.net/event/adsn-workshop-australias-data-enabled-research-future/
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220818T130000
DTEND;TZID=Australia/Brisbane:20220818T140000
DTSTAMP:20220811T001906Z
CREATED:20220811T001906Z
LAST-MODIFIED:20220811T001906Z
UID:3599-1660827600-1660831200@australiandatascience.net
SUMMARY:Stats Society: Meet our Early Career & Student Statistician Reps
DESCRIPTION:Please join the Statistical Society of Australia’s Early Career and Student Statistician Network (ECSSN) representatives at this virtual welcome event and learn how we can connect with each other. We are joining forces with our neighbours and friends from the New Zealand Statistical Association ECSSN to organise a Webinar Series starting in September that will lead to a mini-conference in November. \nRegister: https://statsoc.org.au/event-4920229
URL:https://australiandatascience.net/event/stats-society-meet-our-early-career-student-statistician-reps/
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220805T120000
DTEND;TZID=Australia/Brisbane:20220805T130000
DTSTAMP:20220805T052628Z
CREATED:20220805T052628Z
LAST-MODIFIED:20220805T052628Z
UID:3556-1659700800-1659704400@australiandatascience.net
SUMMARY:QUT Centre for Data Science Webinar
DESCRIPTION:This “Data Science in the News” webinar from the QUT Centre for Data Science and the Queensland Academy of Arts and Sciences highlights key issues impacting the remote region of Central Western Queensland and the roles that the Queensland Academy of Arts and Sciences and data science\, can play in addressing these issues. \nIn this webinar you will hear from: \n\nProf. John McVeigh: Executive Director of the University of Southern Queensland’s Institute for Resilient Regions\nAssociate Prof. Ben Lyons (UniSQ): Director of The Rural Economies Centre of Excellence (RECoE)\nDavid Arnold: CEO of the Central Western Qld Remote Area Planning & Development Board (RAPAD)\nKristine Arnold: Operations & Innovation Manager at RAPAD\n\nEmeritus Professor Helen Chenery (QAAS) and Professor Roger Stone (UniSQ) moderated the discussion.
URL:https://australiandatascience.net/event/qut-centre-for-data-science-webinar/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220708T120000
DTEND;TZID=Australia/Brisbane:20220708T130000
DTSTAMP:20220617T063818Z
CREATED:20220617T063818Z
LAST-MODIFIED:20220617T063818Z
UID:3403-1657281600-1657285200@australiandatascience.net
SUMMARY:ADSN Workshop #3: Data Science as a Discipline
DESCRIPTION:This ADSN series will explore the report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’. \nIn October 2021\, the Australian Academy of Science released the report. It identifies opportunities to advance data-intensive research in Australia by aligning research policy\, research infrastructure\, skills and education\, and recognising data science as a distinct scientific discipline. \nThe report was funded by the Australian Research Council under the Learned Academies Special Projects scheme. \nAs a follow-up to the report\, the ADSN is holding a series of six workshops in 2022 for its members to explore the report and what it means for the ADSN and its member organisations. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWorkshop #3: Friday\, 8 July 2022\n\n\n\n\n\n\n\n\n\n\nJoin us for the third workshop in this series. In this one\, we will explore the recommendation that Data Science should be a scientific discipline in its own right. \nOur guest speakers are: \n\nDr Kate Devitt: Chief Scientist of Trusted Autonomous Systems Defence Cooperative Research Centre (TAS-DCRC)\nProf Sally Cripps: Research Program Director\, Analytics & Decision Sciences at CSIRO/Data 61\nProf Troy Farrell: Executive Dean\, Faculty of Science\, QUT\n\nCLICK HERE TO GET THE ZOOM LINK \nPasscode: 819053 \nFor more information about this series\, email info@australiandatascience.net
URL:https://australiandatascience.net/event/adsn-workshop-3-data-science-as-a-discipline/
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220630T180000
DTEND;TZID=Australia/Brisbane:20220630T193000
DTSTAMP:20220617T064716Z
CREATED:20220617T064716Z
LAST-MODIFIED:20220617T064716Z
UID:3405-1656612000-1656617400@australiandatascience.net
SUMMARY:AMSI Winter School Public Lecture: Professor Geordie Williamson
DESCRIPTION:AMSI Winter School Public Lecture: Professor Geordie Williamson\nHear from Professor Geordie Williamson (The University of Sydney) as he explores how machine learning can help with the intuitive aspects of mathematical research. Attend in-person at The University of Queensland or watch it live online. \nWhen: Thursday 30 June \nTime: lecture from 6:00pm – 7:30pm AEST (Refreshments available from 5.00pm) \nWhere: Room 206\, Steele Building (3)\, The University of Queensland\, St Lucia campus\nRefreshments to be served in the Atrium\, Global Change Institute (GCI) Building (next to the Steele Building) \nOnline: Zoom link will be distributed to all registered attendees participating remotely 48 hours prior to the event
URL:https://australiandatascience.net/event/amsi-winter-school-public-lecture-professor-geordie-williamson/
LOCATION:University of Queensland\, The University of Queensland\, St Lucia\, QLD\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220609T090000
DTEND;TZID=Australia/Brisbane:20220609T180000
DTSTAMP:20220523T032628Z
CREATED:20220523T032536Z
LAST-MODIFIED:20220523T032628Z
UID:3330-1654765200-1654797600@australiandatascience.net
SUMMARY:AI for Good Showcase - Monash Data Futures Institute
DESCRIPTION:AI for Good Showcase\nThe Monash AI for Good Showcase will present Monash University’s latest interdisciplinary research in AI and data science for social good.\n\n\n\n\n\nAbout this event\n\n\nBuilding upon Monash University’s long history of excellence in Artificial Intelligence (AI) and data science research that leads to practical solutions at scale\, and with immediacy to current and future global challenges\, we are proud to announce the Monash Data Futures Institute AI for Good Showcase 2022. \nThe showcase will feature major projects\, including our collaborations with industry\, government and not-for-profit partners\, that reflect Monash University’s expertise in advancing AI and data science to tackle problems of critical importance to human well-being and preservation of the global environment. \nWhat to expect \nWhether you are an academic researcher looking to collaborate\, or an industry/ government/ not-for-profit organisation seeking expertise in addressing real-world challenges\, the showcase will provide a platform to explore further opportunities to connect with Monash University’s thought-leaders in AI for Social Good. \nWe are delighted to host\, as Keynote Speakers\, Dr Helen Frazer\, Clinical Director of St Vincent’s Hospital BreastScreen\, and the winner of the Women in AI Innovator of the Year Award 2022\, and Dr Alex Fischer\, Lead Analyst at Paul Ramsay Foundation. \nThe event will include talks and poster presentations showcasing the impact of Monash AI Research and highlighting the benefits and challenges of cross-sector interdisciplinary research to advance AI applications for social good. Interactive discussions and networking sessions will enable us to explore research challenges\, form new collaborations and envisage solutions. \nKeynote Speakers \nDr Alex Fischer\, Lead Analyst\, Paul Ramsay Foundation \nDr Helen Frazer\, Clinical Director\, St Vincent’s Hospital BreastScreen \nSpeakers \nProf Rebekah Brown\, Deputy Vice-Chancellor (Research) and Senior Vice-President\, Monash University \nProf Joanna Batstone\, Director\, Monash Data Futures Institute \nProf Geoff Webb\, Research Director\, Monash Data Futures Institute \nmore to come… \nProgram outline \n9.00am Guests arrive \n9.30am Welcome and Introduction \n10.00am OPENING KEYNOTE PRESENTATION \n10.30am Coffee Break \n10.45am Interdisciplinary AI for Good Research \n12.30- 1.40pm Poster Presentations and Networking Lunch \n1.45pm Interdisciplinary AI for Good Research \n3.25pm Coffee Break \n3.40 CLOSING KEYNOTE PRESENTATION \n4.20pm Closing Remarks \n4.30-6.00pm Poster Presentations. Networking Drinks and Nibbles. \n6.00pm Close
URL:https://australiandatascience.net/event/ai-for-good-showcase-monash-data-futures-institute/
LOCATION:Monash University\, 27 Chancellors Walk\, Clayton\, Victoria\, 3168\, Australia
CATEGORIES:Event
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220608T100000
DTEND;TZID=Australia/Brisbane:20220608T104500
DTSTAMP:20220531T054457Z
CREATED:20220414T035839Z
LAST-MODIFIED:20220531T054457Z
UID:3179-1654682400-1654685100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #23: Caroline Colijn\, Simon Fraser University
DESCRIPTION:AI4Pandemics Talk #23: Caroline Colijn\, Simon Fraser University\nWelcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel. \n\nSpeaker: Caroline Colijn\, Simon Fraser University\nTitle: Genomic Epidemiology in SARS-CoV-2: new tools and challenges\nAbstract: Scientists around the world have sequenced over 2 million SARS-CoV-2 genomes in an effort to monitor and understand the evolution and transmission of this virus.
URL:https://australiandatascience.net/event/ai4pandemics-talk-23-caroline-colijn-simon-fraser-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220602T120000
DTEND;TZID=Australia/Brisbane:20220602T130000
DTSTAMP:20220523T031909Z
CREATED:20220523T031747Z
LAST-MODIFIED:20220523T031909Z
UID:3327-1654171200-1654174800@australiandatascience.net
SUMMARY:Data Ethics Workshop Series
DESCRIPTION:Data Ethics Workshop Series\nThe Australian Data Science Network is proud to present a series of workshops on Data Ethics. \nThe aim of this series is to share open questions\, spark discussion\, and facilitate collaborations. The workshops will be led by Professor Rachel Thomas\, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. In each workshop\, we hear a series of lightning talks from our guest speakers followed by a discussion with all participants. \n\n\n\n\n\n\n\n\n\n\n\n\n\nJoin us for next Data Ethics Workshop!\nOur guest speakers are: \n\nLachlan McCalman\, Gradient Institute\, “Ethical AI Governance Gaps in Finance”\nThao Phan\, Monash University\, “Economies of Virtue: The Circulation of ‘Ethics’ in Big Tech”\nJake Goldenfein\, University of Melbourne\, “Law’s consumers vs platforms users: competing imaginations of the human in platform ecosystems”\nSamantha Floreani\, Digital Rights Watch\, “Human Rights in the Digital Age”\n\nREGISTER FOR YOUR FREE ZOOM LINK \nAt time of workshop: CLICK HERE FOR YOUR ZOOM LINK \nView the videos from Workshops #1 & #2
URL:https://australiandatascience.net/event/data-ethics-workshop-series/
CATEGORIES:Event,Workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220525T100000
DTEND;TZID=Australia/Brisbane:20220525T104500
DTSTAMP:20220414T035619Z
CREATED:20220414T035619Z
LAST-MODIFIED:20220414T035619Z
UID:3177-1653472800-1653475500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #22: Andres Colubri\, UMass Chan Medical School
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Andres Colubri\, UMass Chan Medical School \nTitle: Operation Outbreak: an app-based platform for infectious disease education and research \nAbstract: Together with Harvard University Professor Pardis Sabeti and Dr. Todd Brown from The Inspire Project\, we have been working since 2015 on Operation Outbreak (OO). This project was originally motivated by the ever-present pandemic threat (at the time\, made apparent by the West African Ebola outbreak) and the challenge of educating students about it in more engaging ways. Only five years later\, COVID-19 reified epidemiologists’ predictions of a global pandemic caused by an emerging pathogen. As public health measures contributed to curbing the spread of COVID-19\, innovative educational programs on infectious diseases could also play a role in controlling this pandemic––and in preparing for or preempting the next one. OO started as a mock outbreak activity for middle schoolers using stickers to mimic pathogen transmission\, and eventually evolved to comprise three interconnected components: (1) an academic curriculum and textbook on pathogen biology\, epidemiology\, public health\, political decision-making\, and science communication during health emergencies; (2) an outbreak simulation experiential learning activity that synthesizes curricular content with a Bluetooth-enabled smartphone app; and (3) a multi-user dashboard that visualizes data generated during the outbreak simulation for informed reflection and skill development in epidemiology and quantitative data analysis. Facilitated by the smartphone app\, the outbreak simulation spreads a virtual pathogen across participants’ phones via Bluetooth. Additionally\, the simulation incorporates a series of role-playing activities for the students (e.g.\, governance\, research\, healthcare)\, taking place during the simulated outbreak and mirroring a real-world epidemic. The current OO app supports Bluetooth beacons and QR codes that simulate infectious sources and protective items (e.g.\, face masks and hazmat suits) and interventions such as testing and vaccinations\, and we have been making substantial progress last year in the development of the app technology and conducting several large-scale pilots in middle and high schools\, as well as colleges. Currently\, my lab in the Program of Bioinformatics and Integrative Biology at the University of Massachusetts Medical School is focused not only on developing the technology behind OO\, but also using OO as a “real-life” simulator that could help create and validate epidemiological models to better respond to future outbreaks.
URL:https://australiandatascience.net/event/ai4pandemics-talk-22-andres-colubri-umass-chan-medical-school/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220513T120000
DTEND;TZID=Australia/Brisbane:20220513T130000
DTSTAMP:20220516T001031Z
CREATED:20220504T001107Z
LAST-MODIFIED:20220516T001031Z
UID:3236-1652443200-1652446800@australiandatascience.net
SUMMARY:ADSN Series: Advancing Data-Intensive Research in Australia
DESCRIPTION:This ADSN series will explore the report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’\n\n\n\n\n\nAbout this event\n\n\nThis was the first of a six-part monthly webinar series from the Australian Data Science Network. This series will focus on the October 2021 Report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’. \n﻿ \nIn this webinar\, we focused on some of the high-level findings of the report and discuss the relevance for ADSN member organisations. Our guest speakers were: \n\nProfessor Jane Elith – Report Co-Author\nEmeritus Professor Michael Barber – Report Co-Author\n\nQUT Distinguished Professor Kerrie Mengersen will moderate the panel discussion. \nOur next meeting in the series:\n \nEmail info@australiandatascience.net if you’re interested in attending this workshop.
URL:https://australiandatascience.net/event/science-academy-data-report-series/
CATEGORIES:Event,Webinar
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220511T100000
DTEND;TZID=Australia/Brisbane:20220511T104500
DTSTAMP:20220414T035103Z
CREATED:20220228T234027Z
LAST-MODIFIED:20220414T035103Z
UID:3068-1652263200-1652265900@australiandatascience.net
SUMMARY:AI4Pandemics Talk #21: Max Menzies\, Tsinghua University
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Max Menzies\, Tsinghua University \nTitle: Targeted mathematical approaches based on topical questions regarding COVID-19 \nAbstract: COVID-19 has consistently astonished policymakers and challenged researchers. From early predictions that it would “just go away” to later failures to understand precipitous upticks or decreases in cases and/or deaths\, this pandemic has consistently been difficult if not impossible to forecast. Thus\, we took a different approach\, focusing on the descriptive analysis of surprising phenomena. Throughout the pandemic\, we have keenly paid attention to the news to find key questions of interest that lend themselves to the development of innovative and elegant mathematical approaches. Combining backgrounds of pure maths\, applied maths and real-world experience\, we will aim to present work that is mathematically interesting in its own right as well as findings and interpretations of relevance to a wide audience. \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-21-max-menzies-tsinghua-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220505T180000
DTEND;TZID=Australia/Brisbane:20220505T193000
DTSTAMP:20220420T031649Z
CREATED:20220420T031649Z
LAST-MODIFIED:20220420T031649Z
UID:3193-1651773600-1651779000@australiandatascience.net
SUMMARY:AI for Good and the Bootstrapping Problem - Monash Prato Dialogue
DESCRIPTION:AI for Good and the Bootstrapping Problem – Monash Prato Dialogue\nThe Monash Prato Dialogue is a Monash Data Futures Institute Distinguished Lecture series on Artificial Intelligence and its impact on society. In this lecture\, Professor Shannon Vallor will discuss the ethical challenges and opportunities posed by new uses of data and AI. \nREGISTER: https://www.monash.edu/data-futures-institute/news/events/ai-for-good-and-the-bootstrapping-problem-monash-prato-dialogue \nAbout the speaker: \nProfessor Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence and Director of the Centre for Technomoral Futures in the Edinburgh Futures Institute at the University of Edinburgh\, where she is also a Professor in the Department of Philosophy. \nAbstract:\nIt is widely accepted that the digital age\, and artificial intelligence in particular\, presents increasingly urgent ethical challenges that call for responses guided by collective moral and political wisdom. One response\, to call for an alignment of AI with ‘social good’\, appears to have a noble and uncontroversial aim. \nIn this lecture Professor Vallor will discuss an unexamined problem with this framing that requires our attention. There is a ‘bootstrapping’ problem with calls to align AI with social good\, a problem that also impacts related suggestions to develop more virtuous or responsible models of AI innovation. The problem is that the very models of human and technical excellence most familiar and accessible to us today\, are precisely those that led us into the moral\, political and environmental crises that humanity now faces. \nProfessor Vallor will confront the problem of cultivating virtues and social goods of a new moral shape\, and the radical cultural transformations this may entail.
URL:https://australiandatascience.net/event/ai-for-good-and-the-bootstrapping-problem-monash-prato-dialogue/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220429T100000
DTEND;TZID=Australia/Brisbane:20220429T113000
DTSTAMP:20220408T001106Z
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:20220427T100000
DTEND;TZID=Australia/Brisbane:20220427T104500
DTSTAMP:20220420T024649Z
CREATED:20220228T233751Z
LAST-MODIFIED:20220420T024649Z
UID:3066-1651053600-1651056300@australiandatascience.net
SUMMARY:AI4Pandemics Talk #20: Lock Yue Chew\, Nanyang Technological University
DESCRIPTION:AI4Pandemics Talk #20: Lock Yue Chew\, Nanyang Technological University\nWelcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel. \nSpeaker: Lock Yue Chew\, Nanyang Technological University \nTitle: Modelling COVID-19 Pandemic with Control Measures using a SEIR Multiplex Network Model\nAbstract:\nIn this talk\, I will present a Susceptible-Exposed-Infectious-Removed (SEIR) model that exploits both multiplex and temporal networks to study the outbreak dynamics of coronavirus infectious diseases (COVID–19) in Singapore. \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-20-chew-lock-ye-nanyang-technological-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220422T120000
DTEND;TZID=Australia/Brisbane:20220422T130000
DTSTAMP:20220418T233945Z
CREATED:20220418T233753Z
LAST-MODIFIED:20220418T233945Z
UID:3183-1650628800-1650632400@australiandatascience.net
SUMMARY:Data Science in the News - The Future of Floods
DESCRIPTION:Data Science in the News: The Future of Floods\nThe QUT Centre for Data Science presents its latest webinar in its ‘Data Science in the News’ series. This webinar is in response to the recent flooding along Eastern Australia\, our thoughts remain with those who continue to be impacted. \n\n\nAbout this event\n\n\nIn this webinar you will hear insights on predicting extreme rainfall\, flood warning designs\, community resilience\, and urban design solutions from our panel: \n\nDr Kate Saunders\, QUT School of Mathematical Sciences\n\nHow often do we expect extreme rainfall events to happen?\n\n\nProfessor Ana Deletic\, Executive Dean of Engineering\, QUT\n\nThe economic cost of surface run-off – simple urban design solutions could save households from future floods\n\n\nProfessor Amisha Mehta\, QUT Faculty of Business and Law\n\nMind the gap: Towards community-oriented flood warnings\n\n\nAssociate Professor Karen Vella\, Head of QUT’s School of Architecture and Built Environment\n\nBuilding community resilience after disasters \n\n\n\nModerator: Distinguished Professor Kerrie Mengersen\, Director of the QUT Centre for Data Science \n\nREGISTER: https://www.eventbrite.com/e/data-science-in-the-news-future-of-floods-tickets-313998416717 \n 
URL:https://australiandatascience.net/event/data-science-in-the-news-the-future-of-floods/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220413T100000
DTEND;TZID=Australia/Brisbane:20220413T103000
DTSTAMP:20220301T000702Z
CREATED:20220210T050130Z
LAST-MODIFIED:20220301T000702Z
UID:3012-1649844000-1649845800@australiandatascience.net
SUMMARY:AI4Pandemics Talk #19: Paulo José da Silva\, University of Campinas
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Paulo José da Silva\, University of Campinas \nTitle: Robot dance: using optimization in pandemic simulations \nAbstract:\nIn this talk we will present the Robot Dance framework that allow us to use ideas from control and simulation in mathematical epidemiology models. This allows us not only to simulate the model with fixed parameters but also to capture possible natural variations on parameters that appears in situations like fitting past data when different social distancing measures were taken\, simulate the response to a spike in the number of case that would result into adoption of non-pharmacological mitigation\, design optimal vaccinations campaigns\, etc. Further information
URL:https://australiandatascience.net/event/ai4pandemics-talk-19-paulo-jose-da-silva-university-of-campinas/
ORGANIZER;CN="Hamid Khataee":MAILTO:h.khataee@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220412
DTEND;VALUE=DATE:20220414
DTSTAMP:20220321T053743Z
CREATED:20220321T053612Z
LAST-MODIFIED:20220321T053743Z
UID:3119-1649721600-1649894399@australiandatascience.net
SUMMARY:Statistical Society Workshop: Introduction to Machine Learning for Health Data
DESCRIPTION:Statistical Society Workshop: Introduction to Machine Learning for Health Data\n\nAdelaide\n\nThis workshop\, presented by Dr Oscar Perez-Concha\, Centre for Big Data Research in Health\, UNSW Sydney introduces the basics for understanding and using machine learning algorithms. \nRegister: https://statsoc.org.au/event-4197015
URL:https://australiandatascience.net/event/statistical-society-workshop-introduction-to-machine-learning-for-health-data/
LOCATION:Adelaide\, Adelaide\, South Australia\, Australia
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220330T100000
DTEND;TZID=Australia/Brisbane:20220330T103000
DTSTAMP:20220301T000944Z
CREATED:20220210T045615Z
LAST-MODIFIED:20220301T000944Z
UID:3009-1648634400-1648636200@australiandatascience.net
SUMMARY:AI4Pandemics Talk #18: Bridget Haire\, Kirby Institute
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Bridget Haire\, Kirby Institute \n 
URL:https://australiandatascience.net/event/ai4pandemics-talk-18-bridget-haire-kirby-institute/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220316T100000
DTEND;TZID=Australia/Brisbane:20220316T104500
DTSTAMP:20220301T001051Z
CREATED:20220228T234602Z
LAST-MODIFIED:20220301T001051Z
UID:3072-1647424800-1647427500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #17: Michaël Chass\, Centre Hospitalier de l’Université de Montréal
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Michaël Chass\, Centre Hospitalier de l’Université de Montréal \nTitle: CODA-19: Collaborative data analysis to improve clinical care in patients with COVID-19
URL:https://australiandatascience.net/event/ai4pandemics-talk-17-michael-chass-centre-hospitalier-de-luniversite-de-montreal/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220307T120000
DTEND;TZID=Australia/Brisbane:20220307T130000
DTSTAMP:20220307T215001Z
CREATED:20220208T014856Z
LAST-MODIFIED:20220307T215001Z
UID:2986-1646654400-1646658000@australiandatascience.net
SUMMARY:Women in Data Science Day 2022
DESCRIPTION:As part of International Women in Data Science (WiDS) Day\, the ADSN hosted a panel discussion featuring some of Australia’s top women in Data Science! \nHere is the video from that panel discussion. Below the video are details about our panellists.\n﻿ \n“Raising the Bar for Australian Data Science”\nThe panel explored how we as a Data Science Network can increase recognition of Data Science as a discipline in its own right\, and representation in terms of more inclusive participation. Also\, we investigated where and how we should best apply our Data Science. \nOur panel:\n \nModerator: Dr Kate Helmstedt\, QUT & WiDS @ ADSN Ambassador \n\nProf Flora Salim\, Deputy Director\, RMIT Centre for Information Discovery & Data Analytics (CIDDA); Incoming Professor and Cisco Chair of Digital Transport\, UNSW Sydney\nProf Joanna Batstone\, Director\, Monash Data Futures Institute\, Monash University\nA/Prof Jessica Kasza\, President\, Statistical Society of Australia\nD/Prof Kerrie Mengersen\, Director\, QUT Centre for Data Science\nProf Sally Cripps\, Research Program Director\, Analytics & Decision Sciences at CSIRO/Data 61\n\n  \nWiDS @ Australian Data Science Network is an independent event that is organized by the Australian Data Science Network as part of the annual WiDS Worldwide conference organized by Stanford University and an estimated 200+ locations worldwide\, which features outstanding women doing outstanding work in the field of data science. All genders are invited to attend all WiDS Worldwide conference events.
URL:https://australiandatascience.net/event/women-in-data-science-day-2022/
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220302T110000
DTEND;TZID=Australia/Brisbane:20220302T120000
DTSTAMP:20220209T035117Z
CREATED:20220209T035011Z
LAST-MODIFIED:20220209T035117Z
UID:3005-1646218800-1646222400@australiandatascience.net
SUMMARY:Four recommendations to make research code visible
DESCRIPTION:Do you want to release and make your code available? Do you support or train others to make their code available? \nAt this webinar hosted by the Australian Research Data Commons (ARDC)\, we will cover the four recommendations to make research code more visible. We will also \ndiscuss the alignment of these recommendations with the FAIR Principles for research software (FAIR4RS). \nWe welcome everyone from the research community interested in making code more visible\, including: \n\nResearchers who code\neResearch services staff\nDigital Librarians\nEMCRs interested in open science\, computational reproducibility and research integrity.\n\nFind out more/Register\nSpeaker: Paula Andrea Martinez is the ARDC Software Project Coordinator and ReSA Community Manager. She is leading implementation activities from the ARDC National Research Software Agenda (https://bit.ly/rs-agenda) to See\, Shape and Sustain research software. She is a co-chair of the FAIR4RS WG\, co-host of the Visible Research Software IG\, and a co-author of the 4OSS lesson and the Top 10 FAIR Data & Software Things. She has developed strategic planning and work packages for research software to be recognised as a first-class scholarly output of research.
URL:https://australiandatascience.net/event/four-recommendations-to-make-research-code-visible/
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220224T120000
DTEND;TZID=Australia/Brisbane:20220224T130000
DTSTAMP:20220222T044130Z
CREATED:20220202T235423Z
LAST-MODIFIED:20220222T044130Z
UID:2968-1645704000-1645707600@australiandatascience.net
SUMMARY:ARDC Panel Discussion: Improve visibility of research software for career advancement
DESCRIPTION:ARDC Panel Discussion: Improve visibility of research software for career advancement \nResearch software is not only an essential part of doing research\, but it is an important research output. The producers of pipelines\, workflows and software packages are increasingly being recognised for their contributions. How can you make\, share and maintain good research software in a way that will advance your career? \nDo you write code for your research? Are you making these new workflows\, pipelines\, scripts or computational methods available as software? Do you see your software contributions as a pathway to impact your career? If you answer yes to any of these questions\, please join us! \nFor this panel discussion\, the Australian Research Data Commons (ARDC) has invited people who invest a lot of their time\, writing\, reviewing and maintaining bioinformatics software tools. We will have a wide-ranging discussion on how this benefits researchers and others\, the effect on career development\, research impact via software and what can be done to increase the recognition for this work. \nThe panel discussion will run for approximately 45 minutes\, followed by a Q&A session. \nMC: A/Prof Denis Bauer\, Principal Research Scientist\, Transformational Bioinformatics\, CSIRO \nPanelists: \n\nA/Prof. Kim-Anh Lê Cao\, NHMRC Career Development Fellow\, School of Mathematics and Statistics\, The University of Melbourne\nDr Sonika Tyagi\, Central Clinical School\, Monash University\nMr Fred Jaya\, School of Life and Environmental Sciences\, University of Sydney\nProfessor Gordon Smyth\, The Walter and Eliza Hall Institute of Medical Research (WEHI)\n\nThis event is co-hosted by the ARDC\, Australian BioCommons and the ABACBS. \nIt forms part of the implementation of the ARDC National Research Software Agenda to make research software more visible\, better cited and maintained. \nHow to join: This webinar is free to join but you must register for a place in advance.
URL:https://australiandatascience.net/event/ardc-panel-discussion-improve-visibility-of-research-software-for-career-advancement/
CATEGORIES:Event
END:VEVENT
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
END:VCALENDAR