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X-WR-CALNAME:Australian Data Science Network
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
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BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20210101T000000
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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: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: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: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: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:20220830T103000
DTEND;TZID=Australia/Brisbane:20220830T113000
DTSTAMP:20220815T064440Z
CREATED:20220815T063732Z
LAST-MODIFIED:20220815T064440Z
UID:3653-1661855400-1661859000@australiandatascience.net
SUMMARY:Webinar: Measuring Sex\, Gender Identity\, and Sexual Orientation
DESCRIPTION:The Statistical Society is pleased to announce the following event: \nMeasuring Sex\, Gender Identity\, and Sexual Orientation \n30 August 2022\, 10:30 AM\, AEST\, held online via Zoom. \nWe are pleased to present a panel consisting of US researchers who are members of the Committee on Measuring Sex\, Gender Identity\, and Sexual Orientation\, and who conducted a study to examine the measurement of sex\, gender identity\, and sexual orientation. The research was undertaken to be able to make recommendations for specific measures that can be used in surveys and research\, administrative\, and clinical and other health settings. It was captured in the report Measuring Sex\, Gender Identity\, and Sexual Orientation. \nFind out more about the report and the panel members here. \nThe event is free\, but you will need to register to receive the Zoom link.
URL:https://australiandatascience.net/event/webinar-measuring-sex-gender-identity-and-sexual-orientation/
LOCATION:Zoom
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220830T174500
DTEND;TZID=Australia/Brisbane:20220830T184500
DTSTAMP:20220816T224603Z
CREATED:20220816T224603Z
LAST-MODIFIED:20220816T224603Z
UID:3668-1661881500-1661885100@australiandatascience.net
SUMMARY:The initial impact of the COVID-19\, social distancing and movement restrictions on crime in NSW\, Australia.
DESCRIPTION:The Canberra Branch of the Statistical Society of Australia invites you to its August branch meeting\, featuring an online talk by Dr Joanna Wang from the University of Technology Sydney. \nAbstract: The spread of COVID-19 has prompted Governments around the world to impose draconian restrictions on business activity\, public transport\, and public freedom of movement. The effect of these restrictions appears to vary from country to country and\, in some cases\, from one area to another within a country. This study examines the initial impact of the COVID-19 restrictions imposed in New South Wales by the State Government. We examine week-to-week changes in 13 categories of crime (and four aggregated categories) from 2 January 2017 to 28 June 2020. An interrupted time series approach with ARIMA specification was used to model the entire time series. Our results are broadly in accord with those of other studies\, but we find no effect of the lockdown on domestic assault. \n 
URL:https://australiandatascience.net/event/the-initial-impact-of-the-covid-19-social-distancing-and-movement-restrictions-on-crime-in-nsw-australia/
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
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