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X-WR-CALDESC:Events for Australian Data Science
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DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20251011
DTEND;VALUE=DATE:20251013
DTSTAMP:20260520T053959
CREATED:20250604T040628Z
LAST-MODIFIED:20250604T040628Z
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SUMMARY:Indigenous Datathon 2025
DESCRIPTION:Join the Indigenous Data Network (University of Melbourne)\, the Australian and New Zealand Intensive Care Society (ANZICS)\, the Australian Institute of Health and Welfare (AIHW)\, QUT Centre for Data Science (QUT CDS) and the Aboriginal and Torres Strait Islander Community Health Service Brisbane (ATSICHS-Brisbane) for an Indigenous Datathon. \nThe event will see participants explore real-world questions using data science\, guided by the CARE Principles (Collective Benefit\, Authority to Control\, Responsibility\, Ethics) of Indigenous data governance. \nParticipants will work in teams to analyse datasets on healthcare while learning how to apply ethical\, culturally responsive data practices. Whether you are a student\, clinician\, researcher\, or emerging data scientist\, this is a chance to sharpen your skills\, connect with others\, and contribute to meaningful\, values-driven solutions. \nWe welcome participants with a wide range of backgrounds and skills who are interested in engaging with health data\, though we strongly encourage the participation of Aboriginal and Torres Strait Islander people. \nNumbers are limited to ensure each participant is well supported by mentors\, subject domain experts and datathon volunteers. \nExpressions of Interest\nThe Indigenous Datathon is a free\, in-person only event. Participation is based on an Expression of Interest. Click here to submit your EOI. \n\nSaturday & Sunday\, 11-12 October\nQUT Gardens Point Campus\, P-Block\, Level 4
URL:https://australiandatascience.net/event/indigenous-datathon-2025/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20251013
DTEND;VALUE=DATE:20251017
DTSTAMP:20260520T053959
CREATED:20250722T203720Z
LAST-MODIFIED:20250722T203720Z
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SUMMARY:International Data Week 2025
DESCRIPTION:The Australian Research Data Commons (ARDC) is proud to be delivering International Data Week 2025 in Brisbane / Meanjin\, Australia. \nInternational Data Week (IDW) is a landmark event organised by the Committee on Data (CODATA) and the World Data System (WDS) of the International Science Council (ISC)\, and the Research Data Alliance (RDA). It brings together data scientists\, researchers\, industry leaders\, entrepreneurs\, policymakers and data stewards from disciplines across the globe to explore how best to exploit the data revolution to improve science and society through data-driven discovery and innovation. \nThe conference theme\, ‘Data for Positive Change’\, highlights our commitment to the role of data in instituting change by empowering communities and advancing research. \nWe have released our IDW 2025 program and posters\, and we warmly invite you to explore the agenda and join us for this stimulating and impactful event. The program features an array of keynote talks\, workshops\, and interactive sessions led by eminent\, as well as emerging experts\, in the field. Attendees will have the opportunity to engage in thought-provoking discussions\, gain insights from cutting-edge research\, and share their own experiences and innovations in using and sharing research data. \nJoin us at International Data Week 2025 in Brisbane. Register now.
URL:https://australiandatascience.net/event/international-data-week-2025-2/
LOCATION:Queensland University of Technology\, Gardens Point Campus\, 2 George Street\, Brisbane\, QLD\, 4000\, Australia
CATEGORIES:Conference,Event
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20251020T120000
DTEND;TZID=Australia/Brisbane:20251020T130000
DTSTAMP:20260520T053959
CREATED:20250930T065325Z
LAST-MODIFIED:20251023T231659Z
UID:6076-1760961600-1760965200@australiandatascience.net
SUMMARY:World Statistics Day Webinar: "Data We Can Trust"
DESCRIPTION:The Australian Data Science Network teamed up with the Statistical Society of Australia for a special “World Statistics Day” event – you to an engaging online panel discussion on a topic of growing significance: trust in data. \nOur expert panel\, representing a broad spectrum of experience across government\, academia and industry\, explored the real-world challenges they face in building and maintaining trust in data. The session also examined how emerging technologies\, evolving data ecosystems and societal expectations are reshaping the landscape of data integrity and transparency. \nVIDEO & PODCAST\n \nOur Presenters:\nDr Lucy Farrell is Director of Data Strategy in the Australian Centre for Disease Control Establishment Strategy Branch at the Australian Government Department of Health\, Disability and Ageing. In this role she is responsible for leading strategic reforms to improve national coordination\, sharing and use of public health data\, including through legislative reform\, governance\, methodology and technology. Prior to this role Lucy worked at the Australian Bureau of Statistics in analytical and methodology roles. Lucy is particularly interested the political and social dimensions of evidence use: what makes data meaningful\, usable and powerful in shaping better outcomes for communities. \nAssociate Professor Kalinda Griffiths is a Yawuru woman living and working on Larrakia Country. She is an epidemiologist and the Director of Poche SA+NT at Flinders University with research focused on the quality and governance of Indigenous population level data\, the measurement of health disparities\, and the improvement of health services and outcomes. She has played a leading role in guiding policy on data systems and health and wellbeing reporting. She is an NHMRC Leadership Fellow and senior Atlantic Fellow for Social Equity. In addition\, she holds a visiting fellowship at the Centre for Big Data Research in Health at UNSW and an honorary fellowship at the Menzies School of Health Research where she co-leads the Ramaciotti Training Centre. \nDr Ben Harrap is Vice President of the Statistical Society of Australia and a biostatistician who loves all things data. They’ve worked in many data contexts\, from clinical trials and observational research to administrative data and large data linkage projects. Ben currently works at Yardhura Walani on the Mayi Kuwayu National Study of Aboriginal and Torres Strait Islander Wellbeing\, where they oversee the end-to-end process of survey design\, data collection and management\, and statistical analysis\, with Indigenous Data Sovereignty and Indigenous Data Governance being integral the whole way through. \nSimon Jackman is a leading analyst of public opinion\, elections and electoral systems and an Honorary Professor at the University of Sydney. After doctoral study at the University of Rochester and Princeton University\, Jackman was a professor at the University of Chicago and Stanford University in political science and statistics\, returning to Australia in 2016. Jackman is an elected fellow of the American Academy of Arts and Sciences\, the Academy of the Social Sciences in Australia\, and the Society for Political Methodology and is the author of Bayesian Analysis for the Social Sciences (2009; Wiley). His recent work centres on the analysis of surveys and corrections for non-response\, machine learning for predictive modelling and integrating LLMs into the analysis of social media and news. \nDr Sue Keay is Director of the UNSW AI Institute and an expert in robotics\, AI\, and automation. She founded Robotics Australia Group and leads initiatives that translate research into real-world impact. A fellow of ATSE\, she serves on multiple advisory boards\, including Visionary Machines. Sue is a member of the Kingston AI Group and Chief Executive Women. She holds a PhD in Earth Sciences (ANU)\, an MBA from the University of Queensland\, and is a Graduate of the Australian Institute for Company Directors. \nDr Aaron Snoswell is a senior research fellow in AI accountability at the QUT Generative AI Lab. His research uses computational and sociotechnical approaches to evaluate and better understand the knowledge and behaviour of Large Language Models. Aaron received his PhD in computer science in 2022 from University of Queensland. Prior to academia\, Aaron worked across industry as a mechatronic engineer in medical device research and development\, pilot and astronaut training\, and software engineering. \nThe event will be moderated by Associate Professor Lynne Giles\, President of the Statistical Society of Australia and an Associate Professor of Biostatistics in the School of Public Health at The University of Adelaide. She has held various roles at the University\, and is currently Chair of the School’s Research Committee and Acting Program Director of postgraduate programs in biostatistics. She has served the Statistical Society of Australia in a range of roles at branch and national level since joining SSA back in 1990\, and is our new President for 2024-2026. Lynne teaches undergraduate and postgraduate courses in the Bachelor of Health and Medical Sciences\, the Master of Biostatistics and the Master of Public Health at The University of Adelaide. She has been a Chief Investigator on Category 1 funded research of > $25 million to date\, and has authored > 140 peer-reviewed publications\, with a H-index of 45. \n 
URL:https://australiandatascience.net/event/world-stats-day-webinar/
LOCATION:Online
CATEGORIES:Event,Webinar
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ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20251110
DTEND;VALUE=DATE:20251113
DTSTAMP:20260520T053959
CREATED:20250526T001445Z
LAST-MODIFIED:20250526T001528Z
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SUMMARY:Australian Data Science Network Conference 2025
DESCRIPTION:The Sydney Precision Data Science Centre is hosting the 4th Australian Data Science Network (ADSN) conference. The ADSN conference aims to connect Australia’s top experts in data science\, fostering collaboration\, expanding opportunities\, and showcasing our collective capabilities. \nKey dates\n\n\n\n\n\n\n5 May – Call for abstracts opens\n1 August – Abstract submission deadline\n1 September – Abstract acceptance notification\n15 September – Early bird registrations close\n\nSubmit an abstract:  Online form to Submit an Abstract
URL:https://australiandatascience.net/event/australian-data-science-network-conference-2025/
LOCATION:The University of Sydney
CATEGORIES:Conference,Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251126
DTEND;VALUE=DATE:20251129
DTSTAMP:20260520T053959
CREATED:20250805T032747Z
LAST-MODIFIED:20250805T032747Z
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SUMMARY:23rd Australasian Data Science & Machine Learning Conference (AusDM'25)
DESCRIPTION:The Australasian Data Science and Machine Learning Conference (AusDM)\, formerly the Australasian Data Mining Conference\, is the region’s leading event for Data Science professionals and researchers. Covering topics such as Data Analytics\, Machine Learning\, Deep Learning\, and Generative AI\, AusDM is dedicated to advancing the intelligent analysis of large data sets to uncover meaningful insights. Since 2002\, the conference has served as a platform for presenting cutting-edge research\, industry case studies\, and student projects. AusDM 2025 will continue this tradition\, fostering cross-disciplinary collaboration and showcasing both academic and practical innovations. \nLooking ahead\, AusDM 2025 will explore the theme: “Entering a New World Driven by Data Science\, Machine Learning and Artificial Intelligence\,” highlighting the transformative power of these technologies across industries.
URL:https://australiandatascience.net/event/23rd-australasian-data-science-machine-learning-conference-ausdm25/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Conference,Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251126
DTEND;VALUE=DATE:20251128
DTSTAMP:20260520T053959
CREATED:20250930T072109Z
LAST-MODIFIED:20250930T072109Z
UID:6086-1764115200-1764287999@australiandatascience.net
SUMMARY:Adelaide Data Privacy Workshop
DESCRIPTION:The School of Computer and Mathematical Sciences at The University of Adelaide and the Adelaide Data Science Centre invite you to join the Adelaide Data Privacy Workshop held 26–27th November 2025 at the University of Adelaide. \nThis two-day event explores the foundations of data privacy across mathematics\, statistics\, and computer science. Researchers\, students\, and practitioners who work in — or wish to learn more about — data privacy are warmly invited to participate. \n\n\n\n\nProgram\nThe organisers are delighted to host Prof. Murray Pollock (Newcastle University\, UK) and Dr. James Bailie (Chalmers University of Technology\, Sweden)\, who will share their expertise on Bayesian data fusion\, federated learning\, and the mathematics of data privacy. \nIn addition to these keynotes\, the program will include contributed talks at the frontier of data privacy theory and exploring fundamental methods that ensure data privacy. \nThe full program will also enjoy opportunities for discussions and networking. \n\n\nRegistration and abstract submission\nRegistration and abstract submission can be found here. \nRegistration is free but mandatory!
URL:https://australiandatascience.net/event/adelaide-data-privacy-workshop/
LOCATION:The University of Adelaide
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260709
DTEND;VALUE=DATE:20260711
DTSTAMP:20260520T053959
CREATED:20260507T052008Z
LAST-MODIFIED:20260507T052651Z
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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
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