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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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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260709
DTEND;VALUE=DATE:20260711
DTSTAMP:20260507T052651Z
CREATED:20260507T052008Z
LAST-MODIFIED:20260507T052651Z
UID:6136-1783555200-1783727999@australiandatascience.net
SUMMARY:Essential Skills for Statistical Leadership in Consultancy and Research
DESCRIPTION:When: July 9 – 10 2026 \nWhere: Queensland University of Technology\, Gardens Point Campus and The Doherty Institute for Infection and Immunity \nEvent website: https://agbarnett.github.io/stats_leadership/ \nRegistration via Humanitix: https://events.humanitix.com/essential-skills-for-statistics-leadership \nEvent enquiries: statsleadership.symposium@gmail.com \nEssential Skills for Statistical Leadership in Consultancy and Research is a two‑day symposium which aims to build leadership capacity among the next generation of statisticians. Designed for early‑ and mid-career statisticians\, the event will provide opportunities for attendees to build their professional networks\, share career experiences\, and develop confidence in key leadership skills as part of ongoing professional development. \nWhat to expect:\nInternational and national keynote speakers\n\n\n\nBrisbane in-person/Melbourne online\n\nAssociate Professor Tonya Esterhuizen (Stellenbosch University\, South Africa)\nDistinguished Professor Noel Cressie (University of Wollongong)\nDr Emi Tanaka (The Australian National University)\n\n\n\n\n\nMelbourne in-person/Brisbane online\n\n\n\nDr Michelle Wiest (Goats on Fire\, LLC and the University of Idaho)\nDr Simon (Jono) Tuke (University of Adelaide)\nDr Joanne Potts (The Analytical Edge)\n\n\n\nVirtual\n\n\n\nAssociate Professor Eric Vance (University of Colorado Boulder)\n\n\n\nContributed presentations covering:\n\n\n\nCross-disciplinary communication\nBuilding a leadership profile\nTransitioning from team contributor to team leader\nSustainable models for research consultancy\n\n\n\nInteractive skill-building activities\nAttendees from all backgrounds\, sectors and career stages are welcome. \nWe gratefully acknowledge financial support from the Theo Murphy Initiative Australia\, the Australian Centre for Health Services Innovation (AusHSI) at QUT and the Methods and Implementation Support for Clinical and Health Research Hub at the University of Melbourne for their support in organising the symposium. \nFull details are available on our event website. Event queries can be sent to the organising committee at statsleadership.symposium@gmail.com \n  \n 
URL:https://australiandatascience.net/event/essential-skills-for-statistical-leadership-in-consultancy-and-research/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260712
DTEND;VALUE=DATE:20260718
DTSTAMP:20260715T012436Z
CREATED:20260612T012009Z
LAST-MODIFIED:20260715T012436Z
UID:6205-1783814400-1784332799@australiandatascience.net
SUMMARY:12th International Conference on Teaching Statistics : 12 - 17 July 2026
DESCRIPTION:ICOTS 12 _local FT students programme \n\n\n\n\n\nWELCOME TO ICOTS 12\nThe International Conference on Teaching Statistics (ICOTS) is held every four years in different parts of the world\, and is the most important event in the statistics and data education calendar. For the first time ICOTS is being held in Australia\, in Brisbane. \nWhat? Who? When? How?\nThe theme for ICOTS 12 is “What? Who? When? How?” with Main Topics ranging widely over school\, tertiary and workplace contexts within and across disciplines\, technologies\, training and research at all educational levels. \n\n\n\n\n\n\n\n\n\n\nKEYNOTES\nHear and meet the internationally-renowned ICOTS 12 keynote speakers who are leaders and innovators across this broad canvas\, providing insight into today’s world of educational opportunities and challenges. \nThese will be complemented by a plenary on Debates that Delve at ICOTS 12\, with all plenaries built on a rich programme of speakers and topics from around the world. \nOur dinner speaker is the legendary Antony Green\, who is also giving a conference paper.  \nHome
URL:https://australiandatascience.net/event/12th-international-conference-on-teaching-statistics-12-17-july-2026/
LOCATION:QLD
CATEGORIES:Past event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260813T140000
DTEND;TZID=Australia/Brisbane:20260813T150000
DTSTAMP:20260804T015910Z
CREATED:20260804T015910Z
LAST-MODIFIED:20260804T015910Z
UID:6256-1786629600-1786633200@australiandatascience.net
SUMMARY:Data Science SIG Monthly Catch Up
DESCRIPTION:The Data Science SIG‘s monthly catch up is a place to share any ideas\, challenges\, cool tech\, or anything else data science-related. \nEach month we’ll come with something new to discuss\, but anyone is welcome to lead the discussion. Just let the DSSIG committee know! \nThe monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month\, 2:00 – 3:00 PM (AEST). \nZoom link \n2026 Dates \n\nThursday 13 August 2026 2:00 PM – 3:00 PM AEST\nThursday 10 September 2026 2:00 PM – 3:00 PM AEST\nThursday 8 October 2026 2:00 PM – 3:00 PM AEDT\nThursday 12 November 2026 2:00 PM – 3:00 PM AEDT
URL:https://australiandatascience.net/event/data-science-sig-monthly-catch-up/
LOCATION:QLD
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260818T103000
DTEND;TZID=Australia/Brisbane:20260818T153000
DTSTAMP:20260810T052626Z
CREATED:20260810T052544Z
LAST-MODIFIED:20260810T052626Z
UID:6269-1787049000-1787067000@australiandatascience.net
SUMMARY:QUT Centre for Data Science: Post-Bayesian Statistics One-Day Workshop
DESCRIPTION:Abstract \nAI is accelerating scientific model development\, while the traditional statistical practices of carefully checking model assumptions are becoming sidelined.  At the same time\, there is growing societal concern regarding the reliability of AI systems\, prompting an urgent search for principled approaches to uncertainty quantification and robust decision-making.  This confluence of rapid deployment and foundational gaps presents a clear opportunity for the statistical sciences to play a central role.  It would be tempting to think that Bayesian inference offers a solution\, combining a probabilistic model with prior knowledge to reason about uncertain parameters and to predict data that are yet to be observed.  Sadly this is optimistic\, as Bayesian inference can fail spectacularly when either the model is misspecified or when meaningful prior information cannot be exploited. \nMotivated by these fundamental challenges\, there has been a recent surge of interest in post-Bayesian statistical methodology.  The “post-Bayesian” terminology refers broadly to methods which replace the traditional Bayesian updating of belief with alternative “updating” rules\, with the aim of improving performance when modelling assumptions are violated.  This workshop is intended for both postgraduate students and established researchers who are familiar with Bayesian statistical methods and who would like to learn more about the emerging state-of-the-art in post-Bayesian methodology. The workshop is divided into three parts: \n  \n10:30–12:00   Part I. A tutorial on post-Bayesian statistical methods \n12:00–13:00   Lunch \n13:00–14:00   Part II. In detail: Predictively-oriented posteriors \n14:00–14:30   Coffee break \n14:30–15:30   Part III. Computation for post-Bayes \n  \nProfessor Chris. J. Oates \nChris. J. Oates is a Professor in Statistics at Newcastle University in the UK.  His research spans Statistics\, Machine Learning\, and Computational Mathematics\, and his contributions have been recognised with the award of the Research Prize of the Royal Statistical Society (RSS) in 2017\, a Lloyd’s Register Foundation Fellowship (2019-2021)\, Alan Turing Institute Fellowships (2017-2026)\, the Leverhulme Prize for Mathematics and Statistics in 2023\, and the William Guy Medal in Bronze from the RSS in 2024.
URL:https://australiandatascience.net/event/qut-centre-for-data-science-post-bayesian-statistics-one-day-workshop/
LOCATION:Queensland University of Technology\, Gardens Point Campus\, 2 George Street\, Brisbane\, QLD\, 4000\, Australia
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260909T120000
DTEND;TZID=Australia/Brisbane:20260909T140000
DTSTAMP:20260804T020207Z
CREATED:20260804T020115Z
LAST-MODIFIED:20260804T020207Z
UID:6258-1788955200-1788962400@australiandatascience.net
SUMMARY:SSA Biostatistics & Bioinformatics Section Webinar: Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis
DESCRIPTION:The Biostatistics & Bioinformatics section of the Statistical Society of Australia invites members to a  presentation titled “Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis” delivered by A/Professor Heejung Shim\, University of Sydney. \nDate: Wednesday 9 September 2026 \nTime: 12:00 pm (AEST) \nFormat: Online via Zoom. Details provided upon registration \nAbstract: Modelling spatial transcriptomics: from flexible cell-type deconvolution to multi-scale spatial factor analysis \nSpatial transcriptomics enables the study of gene expression within its spatial context\, but introduces key statistical challenges\, including mixed cellular composition and complex spatial structure. In this talk\, I present two complementary modelling approaches. First\, I introduce FlexiDeconv\, a cell-type deconvolution method based on a modified Latent Dirichlet Allocation framework. A key feature of this method is its flexible use of reference information\, allowing the model to balance prior information from scRNA-seq with signals from observed spatial data\, and to adapt when the reference is incomplete or mismatched\, a common challenge in practice. I then present WaveFactor\, a wavelet-based Bayesian sparse factor model that captures spatial gene expression patterns across multiple spatial scales\, enabling the detection of both fine and broad spatial patterns. In addition\, WaveFactor can incorporate gene-set information to guide factor inference\, while allowing for uncertainty and potential errors in these annotations. Together\, these methods illustrate how flexible modelling of prior information and multi-scale modelling of spatial structure can improve our ability to extract biologically meaningful signals from spatial transcriptomics data. \nPresenter Bio: A/Professor Heejung Shim\, University of Sydney. \n \nA/Professor Heejung Shim is an applied statistician with a focus on statistical bioinformatics and an Associate Professor at the University of Sydney. Her research develops statistical and computational methods for multi-omics data analysis. She is currently extending her research into bioinformatics for drug discovery and therapeutic development. She completed a BSc in Mathematics\, with a double major in Computer Science and Engineering\, at POSTECH in Korea\, and a PhD in Statistics at the University of Wisconsin-Madison in US\, followed by postdoctoral training at the University of Chicago. Before joining the University of Sydney\, she was a Group Leader at Melbourne Integrative Genomics and the School of Mathematics and Statistics at the University of Melbourne\, and a Chief Investigator at the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems. Prior to relocating to Australia\, she was a tenure-track Assistant Professor in the Department of Statistics at Purdue University. \nFor further information\, please contact  Alberto Nettel Aguirre at anettela@alumni.ucalgary.ca 
URL:https://australiandatascience.net/event/ssa-biostatistics-bioinformatics-section-webinar-modelling-spatial-transcriptomics-from-flexible-cell-type-deconvolution-to-multi-scale-spatial-factor-analysis/
LOCATION:QLD
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20260926T080000
DTEND;TZID=Australia/Brisbane:20260926T160000
DTSTAMP:20260715T010428Z
CREATED:20260715T010428Z
LAST-MODIFIED:20260715T010428Z
UID:6242-1790409600-1790438400@australiandatascience.net
SUMMARY:Upcoming paediatric datathon in September 2026
DESCRIPTION:  \nPaediatric datathon in September alongside the World Federation of Pediatric Intensive & Critical Care Societies (WFPICCS) Conference and the ANZICS Annual Scientific Meeting. This event is free to attend. \nPlease find attached the advert for you to circulate (or forward via your social channels) if any data science\, IT or analytics majors interested in registering. \nThe Datathon is titled Small Patients\, Big Data: A Global Pediatric Critical Care Datathon and will be held on Saturday 26th September 2026 from 8am to 4pm. Participants will have access to de-identified datasets from Argentina\, America\, Australia\, and Aotearoa New Zealand. \nURL to register is here. \nMore about the datathon can be found here
URL:https://australiandatascience.net/event/upcoming-paediatric-datathon-in-september-2026/
LOCATION:QLD
CATEGORIES:Event,Online workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261125
DTEND;VALUE=DATE:20261128
DTSTAMP:20260806T233313Z
CREATED:20260807T020116Z
LAST-MODIFIED:20260806T233313Z
UID:6201-1795647600-1795820399@australiandatascience.net
SUMMARY:ADSN Conference 2026
DESCRIPTION:The Australian Data Science Network Conference 2026 will be held on 26–27 November 2026 at Australian Bureau of Statistics House in Canberra. With the theme From Data to Decisions\, the conference will showcase how data science drives informed decision-making\, influences policy\, and creates real-world impact. Bringing together researchers\, industry professionals\, government representatives\, and students\, the event offers opportunities to share innovative research\, exchange ideas\, and build collaborations across Australia’s data science community. Registration includes the conference social event\, and attendees are encouraged to bring their own lanyards to help reduce waste.
URL:https://australiandatascience.net/event/adsn-conference-2026/
LOCATION:ABS House\, Canberra\, 45 Benjamin Way\, Canberra\, ACT\, 2617\, Australia
CATEGORIES:Conference
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261130
DTEND;VALUE=DATE:20261205
DTSTAMP:20260715T010519Z
CREATED:20260701T051755Z
LAST-MODIFIED:20260715T010519Z
UID:6220-1795996800-1796428799@australiandatascience.net
SUMMARY:Australasian Applied Statistics Conference 2026
DESCRIPTION:The Australasian Applied Statistics Conference 2026 (AASC2026) will be held from 30 November – 4 December 2026 at Mantra Mooloolaba Beach on Queensland’s Sunshine Coast. Bringing together students\, researchers\, industry professionals\, and data science practitioners\, the conference focuses on real-world applications of statistics and data science. AASC2026 offers an engaging program of presentations\, discussions\, and networking opportunities designed to foster collaboration\, knowledge sharing\, and innovation within the applied statistics and data science community. \nRegistration:  https://aasc2026.netlify.app/registration
URL:https://australiandatascience.net/event/australasian-applied-statistics-conference-2026/
LOCATION:Mantra Mooloolaba Beach\, QLD\, Esplanade\, Mantra Mooloolaba Beach\, QLD\, Australia
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270111
DTEND;VALUE=DATE:20270206
DTSTAMP:20260806T232818Z
CREATED:20260806T232818Z
LAST-MODIFIED:20260806T232818Z
UID:6263-1799625600-1801871999@australiandatascience.net
SUMMARY:AMSI Summer School 2027
DESCRIPTION:Join us at UNSW Sydney from 11 January – 5 February for the 25th edition of AMSI Summer School. Aimed at honours and postgrad students\, early career researchers and professionals in the mathematical sciences\, the event will help develop skills and expand professional networks across four jam-packed weeks of classes and activities. \nSubjects for 2027 have been announced! Choose up to two subjects\, and with approval from your home university\, take one for academic credit. Applications open next week. \nSubjects – Summer School 2027
URL:https://australiandatascience.net/event/amsi-summer-school-2027/
LOCATION:UNSW\, Australia
CATEGORIES:Event
END:VEVENT
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