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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20231210T080000
DTEND;TZID=Australia/Brisbane:20231215T170000
DTSTAMP:20220810T024234Z
CREATED:20220810T021323Z
LAST-MODIFIED:20220810T024234Z
UID:3589-1702195200-1702659600@australiandatascience.net
SUMMARY:ASC&OZCOTS 2023
DESCRIPTION:Wollongong is a seaside city located south of Sydney in New South Wales\, Australia. It is Australia’s tenth largest city and is known for its heavy industry and port activity. \nThe local organising committee warmly invites you to the 2023 Australian Statistical Conference (ASC) and Australian Conference on Teaching Statistics (OZCOTS)\, which will take place in Wollongong from the 10th to the 15th of December 2023. Please save the date! \nThe theme for the 2023 Australian Statistical Conference (ASC) is ‘Statisticians in society’\, focussing on the key role statisticians play in communication across diverse areas that are key to our society. \nASC 2023 will bring together statisticians from across Australia\, as an opportunity to communicate with one another\, and advance our collective knowledge of statistical methods and applications. We look forward to offering a diverse program featuring speakers from academia\, government and industry across a range of disciplines and career stages. There are plans to offer some parts of the conference in a hybrid format as well. Information on Keynote Speakers and the Conference program will be available at a later date so please watch this space for updates. \nThe conference will be held at the University of Wollongong\, situated in the heart of Wollongong. Wollongong is the third-largest city in New South Wales and only an hour from Sydney. It offers an escape-worthy collection of world-class beaches\, playful adventures\, eats\, arts and iconic attractions. \nASC and OZCOTS 2023 promises to be a truly amazing experience on both a professional and a social level. \nWe look forward to seeing you in Wollongong in 2023!
URL:https://australiandatascience.net/event/ascozcots-2023/
LOCATION:University of Wollongong\, Northfields Ave\, Wollongong\, NSW\, 2522\, Australia
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231207
DTEND;VALUE=DATE:20231209
DTSTAMP:20231205T070719Z
CREATED:20230612T043555Z
LAST-MODIFIED:20231205T070719Z
UID:4808-1701907200-1702079999@australiandatascience.net
SUMMARY:ADSN 2023 Conference
DESCRIPTION:Join us in South Australia for the 2023 ADSN Conference!\nThe University of Adelaide’s Data Science Centre is the host organisation for the 2023 ADSN Conference. There will be a diverse range of talks in Data Science\, several interesting panel discussions\, and the chance to meet others across the ADSN as we explore new and better ways to work together. \nThe event will take place: \n\nThursday & Friday\, 7-8 December\nNational Wine Centre of Australia at The University of Adelaide\n\nThe conference will feature these keynote speakers: \n			\n							REGISTER\n					\n\n		Conference Schedule (all times in Adelaide time)\n	\n	Day 1 – Thursday\, 7 December\n8:45 am Coffee/sign-in \nSession 1: Chaired by Prof Lewis Mitchell (Adelaide) \n9:15 am: Welcome to Country \n9:30 am: Introduction to ADSN and ADSC by Prof Lewis Mitchell\, ADSC Director \n9:45 am: 1st Keynote (45 min) – Prof Sally Cripps (UTS): Impactful Data Science: From Isolated Competencies to Systems Thinking \n10:30 am Break (30 min) \nSession 2: Chaired by Dr Melissa Humphries (Adelaide) \n11:00 am: Invited talk (30 min) – Dr Duncan Taylor (Forensics SA): Statistics you never knew were being used to fight crime \n11:30 am: Poster spotlights (2 x 5 min): \n\nSaranzaya Magsarjav (Adelaide): Stability in Topic Models\nJohn Lyons (QUT): Using a Statistical Framework to Detect Ecological Regime Shifts in Antarctica\n\n11:45 am: Contributed presentations (2 talks at 15 min each): \n\nMatthew Altenburg (ANU & Attorney-General’s Department): Harnessing NLP in Government: From Practical Use Cases to Technical Mastery\nDr Gnana Bharathy (ARDC): Proposing an ARDC-ADSN collaboration around the ARDC’s People RDC Platform\n\n12:15 pm Lunch Break (1 hour) \nSession 3: Chaired by A/Prof Nicola Armstrong (Curtin) \n1:15 pm: Translational Research / Impact Panel – Moderated by A/Prof Nicola Armstrong (Curtin)\, with panellists: \n\nProf Sally Cripps (UTS)\nDr Duncan Taylor (Forensics SA)\nProf Mark Lawrence (University of Adelaide)\nDr Jimmy Breen (Telethon Kids Institute)\n\n2:00 pm: Keynote (45 min) – A/Prof Fatemeh Vafaee (UNSW): Big Data and Artificial Intelligence: Driving Personalised Medicine of the Future \n2:45pm Break (30 min) \nSession 4: \n3:15 pm: Invited talk (30 min) – Prof Kerry Taylor (ANU): Mining Knowledge Graphs for explainable learning \n3:45 pm: ADSN Breakout Sessions – major theme discussion groups (45 minutes) \n4:30 pm: Report from ADSN Breakout session \n4:45 pm: Posters & Networking \nEvening Session (optional) \n5:30 pm: ARDC + ADSN session: Investigating national infrastructure to support data science in healthcare.  Collaboration with the Australian Research Data Commons (ARDC)  (ARDC to provide food/drinks) \n	Day 2 – Friday\, 8 December\n8:45 am Coffee/sign-in \nSession 5: Chaired by Prof Dino Sejdinovic (Adelaide) \n9:00 am: Keynote (45 min): Prof Xiao-Li Meng (Harvard) – Seeking simplicity in statistics\, complexity in wine\, and everything else in fortune cookies \n9:45 am: Poster spotlights (2 x 5 min): \n\nIsobel Abell (Melbourne): Cost-effective boosting allocations in the post-Omicron era of COVID-19 management\nSui Lun Chau (CISPA – Helmholtz Center for Information Security): Explaining Gaussian Process Models with Stochastic Shapley Values\n\n10:00 am: Invited talk (30 min) – Dr Sevvandi Kandanaarachchi (CSIRO) – Explainable insights on algorithm performance \n10:30 am: Break (30 min) \nSession 6: \n11:00 am: Invited talk – Dr Jason Signolet (Fivecast) \n11:30 am: Panel Discussion on Ethics in Data Science and Generative AI\, with: \n\nLevi-Craig Murray (Indigenous Data Network\, University of Melbourne)\nProf Kevin Desouza (QUT Centre for Data Science)\nDr Sarah James (Fivecast)\nLana Tikhomirov (Adelaide)\n\n12:15 pm: Contributed talk (15 min) – Bryce Polley (Adelaide/QUT) & Mardi Longbottom (Australian Wine Research Institute) – Data Science for sustainable wine growing \n12:30 pm Lunch Break (45min) \nSession 7: \n1:15 pm: Invited talk: A/Prof Simon Angus (Monash) – The Monash IP Observatory: measuring the internet at global scale\, 3 billion times a day \n1:45 pm: Contributed presentations (2 talks at 15 min each): \n\nProf Inge Koch (RMIT): Assessment of classification approaches for proteomics mass spectrometry imaging data of endometrial cancer patients\nProf Martin White (Adelaide): A diffusion model enhanced MCMC sampler\n\n2:15 pm: ADSN Breakout Session – what’s ahead for 2024 in the ADSN \n3:00 pm: Closing remarks \n3:15 pm: Posters & Networking continue through the afternoon \n				\n	ADSN 2022 Inaugural Conference Wrap-up
URL:https://australiandatascience.net/event/2023-adsn-conference/
LOCATION:National Wine Centre of Australia\, Corner of Hackney Rd &\, Botanic Rd\, Adelaide\, South Australia\, 5000\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20231206T090000
DTEND;TZID=Australia/Brisbane:20231206T120000
DTSTAMP:20231026T234831Z
CREATED:20231026T234831Z
LAST-MODIFIED:20231026T234831Z
UID:5027-1701853200-1701864000@australiandatascience.net
SUMMARY:AI Workshop on LLM and RAG Architectures
DESCRIPTION:You are invited to join Australia’s leading AI experts at a technical workshop to learn about how to maximise the power of Large Language Models (LLM) and make your AI ideas a reality. \nThis event is proudly brought to you by ToothFairyAI and is part of CSIRO’s AI month. \nIn this workshop\, you will be provided with a Google Collab Notebook to test\, analyse and review\, practical strategies to tap into the potential of LLMs and Retrieval Augmented Generation (RAG). \nThrough this event\, you will take away how to set up and structure your AI pipelines. \nWhile this workshop has been designed for AI coders and technical experts\, enthusiasts and those starting out\, are welcome to join. \nWho should attend?\n\nAI coders\nTech enthusiasts\nIT professionals\nStudents\n\nREGISTER: https://www.eventbrite.com.au/e/calling-tech-innovators-ai-workshop-on-llm-and-rag-architectures-tickets-726694642237
URL:https://australiandatascience.net/event/ai-workshop-on-llm-and-rag-architectures/
LOCATION:Online
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20231204T090000
DTEND;TZID=Australia/Brisbane:20231208T170000
DTSTAMP:20230208T003308Z
CREATED:20230208T003308Z
LAST-MODIFIED:20230208T003308Z
UID:4441-1701680400-1702054800@australiandatascience.net
SUMMARY:Bayesian Nonparametrics Networking Workshop 2023
DESCRIPTION:Monash Business School’s Department of Econometrics and Business Statistics invites you to attend the Bayesian Nonparametrics Networking Workshop on from 4 to 8 December 2023 at Monash University Caulfield Campus. \nThe workshop is co-sponsored by the Monash University Department of Econometrics and Business Statistics and the Nonparametric Section of the International Society for Bayesian Analysis (ISBA). \nIt’s only the second in a new series of smaller workshops that aim to: \n\nCreate an informal BNP event characterized by a flexible schedule and slots dedicated to early career researchers;\nEstablish and strengthen local networks and broaden appeal; and\nFoster brainstorming and innovation.\n\nThe first BNP Networking Workshop was held in April 2022 in Nicosia\, Cyprus. \nKey dates\nJanuary 2023\nCall for abstracts for contributed talks or posters. \n15 April 2023\nDue date for submission of contributed talks or posters.\nDue date for travel grant applications for junior researchers. \nEarly June 2023\nNotification of acceptance (talks/posters) and travel awards. \n1 August 2023\nEarly bird registrations close.\nDeadline for registration of presenters. \nKeynote speakers\n\nJim Griffin\, Professor in Statistical Science at University College\, London\nThanasis Kottas\, Professor of Statistics\, University of California\, Santa Cruz\nStephanie van der Pas\, Assistant Professor\, Department of Epidemiology and Data Science of the Amsterdam University Medical Centers\n\nSponsors\nThis year’s meeting is supported by the Monash Business School’s Department of Econometrics and Business Statistics and ISBA. \nRegistration\nFees (TBC) \nThere will be reduced rates for students and for ISBA members. \nYoung researchers who are presenting at the workshop may be eligible to apply for financial assistance. \nIn person registration for event includes: \n\nAdmission to all workshop talks and poster sessions\nMorning tea\, lunch and afternoon tea (TBC according to the final workshop schedule)\nWelcome reception\n\nOptional events (These events will incur an additional cost): \n\nWorkshop dinner (TBC)\nSocial excursion (TBC)\n\nScientific program\nDetails of program sessions are TBC.
URL:https://australiandatascience.net/event/bayesian-nonparametrics-networking-workshop-2023/
LOCATION:Monash University\, Caulfield Campus\, 900 Dandenong Rd\, Caulfield East\, Victoria\, 3145\, Australia
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231121
DTEND;VALUE=DATE:20231124
DTSTAMP:20230405T062137Z
CREATED:20230405T062137Z
LAST-MODIFIED:20230405T062137Z
UID:4616-1700524800-1700783999@australiandatascience.net
SUMMARY:Research Bazaar (ResBaz) Queensland
DESCRIPTION:ResBaz is a worldwide festival promoting the digital literacy at the centre of modern research. Throughout 2023\, events will be held at a number of university campuses around the world. \nResearch Bazaar Queensland (#ResBazQld) will be a three-day intensive conference where researchers will come together to upskill in ‘next-generation digital research tools and skills’. In the spirit of a marketplace or bazaar\, ResBaz is a highly participatory event where researchers from many different disciplines can learn\, share knowledge and skills\, and have fun! \nWho should attend? Researchers at ALL levels from ALL disciplines. PhD candidates\, research Masters students and early-career researchers are especially encouraged to attend. Research technologists and research software developers who support researchers to do their job should also come along! ResBazQld fees are kept low-cost to be affordable for most researchers. \nSessions at this year’s ResBaz will offer a brief practical introduction to a broad selection of topics and tools related to digital research practice relevant across the disciplines. \nQCIF (ADSN partner organisation) is one of the main organisers of ResBazQld 2023. \nThe website for this year’s ResBazQld is still in development\, but save the date in the meantime. QCIF will announce when registrations open — keep an eye on this page in the coming months.
URL:https://australiandatascience.net/event/research-bazaar-resbaz-queensland/
LOCATION:The University of Queensland\, St Lucia\, Queensland\, 4072\, Australia
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20231108T080000
DTEND;TZID=Australia/Brisbane:20231110T150000
DTSTAMP:20231019T003144Z
CREATED:20231019T003144Z
LAST-MODIFIED:20231019T003144Z
UID:5009-1699430400-1699628400@australiandatascience.net
SUMMARY:Data Science and Wildfire Hackathon
DESCRIPTION:Join the Melbourne Centre for Data Science for this first of\, hopefully\, many\, hack events focused on interdisciplinary peer-to-peer learning and discovery among individuals at various stages of their career. \nThe topic: data science and wildfire\nThe urgency of wildfire study in Australia is increasing. We have all seen the reports promising us an intense summer to come and\, in some areas of our country\, the fires have already begun. \nWildfire affects the environment and vice versa. Wildfire affects the economy and vice versa. Wildfire affects community\, disaster and resilience planning\, and welfare. Wildfire affects us all. In more ways that just indicated here. \nThere are volumes of data available to us now. We won’t be starting from scratch but we need new approaches\, new connections\, new tools. We need all hands on deck – we need you! \nPlease join us – Melbourne Centre for Data Science and Flare Wildfire Research – for this dive into the data. \nAre you a Grad student (Masters\, PhD) or an Early Career Researcher (postdocs\, RA\, etc)? Are you a professor? Do you work in fire management? Is your area of research in data analysis\, spatial\, combustion engineering\, landscape ecology\, forest science\, computer programming\, invasive species or similar fields? Do you want to contribute\, collaborate\, and learn? \nPlease put forward your interest now.\nWe’ll be creating teams of mixed expertise – these could look like an experienced landscape ecologist\, a spatial champion\, a robust coder\, and a fire specialist.\nWe’ll be exploring questions like: characterising diversity – spatial vs temporal\, patterns in wildfire\, redefining fire regime – what is the new normal?\, land use maps …and more. \nWhat takeaways are there to be had from this different style hack? New skills and knowledge transfer\, new perspectives and community-building\, the kick-start to new collaborations\, new code written and understanding of advances in adjacent disciplines\, among other things. \nJump in\, join us. We’re holding this in person from 8 -10 November in The Studio at Melbourne Connect.
URL:https://australiandatascience.net/event/data-science-and-wildfire-hackathon/
LOCATION:Melbourne Connect\, 700 Swanston St\, Carlton\, VIC\, 3053\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20231104T040000
DTEND;TZID=Australia/Brisbane:20231106T230000
DTSTAMP:20231109T062244Z
CREATED:20230905T045802Z
LAST-MODIFIED:20231109T062244Z
UID:4947-1699070400-1699311600@australiandatascience.net
SUMMARY:U.N. Datathon with the ADSN
DESCRIPTION:What do you get when you throw a group of people together who don’t know each other\, who come from different backgrounds and disciplines\, and give them a tight deadline to solve a difficult and challenging problem? \nThe answer: The U.N. Datathon\, hosted by the Australian Data Science Network (ADSN). \nThe ADSN hosted seven U.N. Datathon teams over four days (3-6 November) at the QUT Centre for Data Science in Brisbane. An eighth ADSN team competed together at the Melbourne Centre for Data Science. \nRather than having teams of people who already know each other enter the competition\, the ADSN asked people to submit individual expressions of interest to take part in the event. The ADSN then took all those EOIs and put together teams of people from different universities and organisations\, and with varying level of experience. \nOne of the main aims of the ADSN is to get different centres and universities talking and working together. On a different scale\, that was the goal for the ADSN in creating these teams of people who didn’t know each other – and it appeared to work brilliantly!  After just four days\, they left with new friends and new connections\, knowing they had come together in a short amount of time to attack a challenging problem. Each of the teams tackled a different U.N. Sustainable Development Goal (SDG). \nThe ADSN would especially like to acknowledge the QUT Centre for Data Science and its Director\, Distinguished Professor Kerrie Mengersen\, for hosting and for financial support of this event. CDS provided travel grants to many of the participants and provided several meals\, along with snacks for the whole weekend. \nThe ADSN hopes to continue doing U.N. Datathon events in the years to come with even more teams! \nHighlights of the ADSN Event at the QUT Centre for Data Science in Brisbane \n\nFriday evening Opening Ceremony and Networking Event at QUT\nThree days of intense problem solving. The Centre was open from 6 am to 11 pm on Saturday\, Sunday and Monday\nSaturday and Sunday morning brekky BBQs\nSunday Pizza night\nHosting teams from all these different universities & organisations\n\nQUT Centre for Data Science\nMelbourne Centre for Data Science & The University of Melbourne\nMonash Data Futures Institute & Monash University\nSydney Precision Data Science Centre & the University of Sydney\nThe University of Adelaide\nUNSW Data Science Hub & UNSW\nWestern Sydney University\nNSW Ministry of Health\nUniversity of Wollongong\n\n\n\nOur official video greeting for the U.N. Datathon global opening ceremony
URL:https://australiandatascience.net/event/un-datathon-adsn/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230912
DTEND;VALUE=DATE:20230914
DTSTAMP:20230630T064456Z
CREATED:20230630T064456Z
LAST-MODIFIED:20230630T064456Z
UID:4845-1694476800-1694649599@australiandatascience.net
SUMMARY:Integrated Earth 2023 Conference
DESCRIPTION:How can we better integrate data across earth systems to address complex earth systems challenges? \nSupported by the Australian Academy of Science\, this 2-day conference aims to uncover the answers to this pressing question facing researchers\, scientists and STEM professionals working across the five Earth systems – geosphere\, biosphere\, cryosphere\, hydrosphere and atmosphere\, which are essential for all aspects of human existence. \nAt the conference\, we will: \n\nidentify opportunities for data integration and integrated modelling approaches\naccelerate scientific collaboration and create a cross-disciplinary community of practice for Australian Earth and environmental science data.\nfocus on negligible integration within and between research activities across these five earth systems\, including observing and monitoring\, storage and access to data\, computing and modelling\, and predicting future states.\nadvance our understanding of the interdependence of these complex systems\, particularly as data has often been collected in isolation\, or to address a very specific research problem.\n\nThe conference is brought to you by AuScope\, Terrestrial Ecosystem Research Network (TERN)\, The National Computational Infrastructure (NCI)\, Australia’s Integrated Marine Observing System (IMOS)\, Australian Research Data Commons (ARDC)\, the Australian Earth-System Simulator (ACCESS-NRI)\, and sponsored by the Australian Academy of Science.
URL:https://australiandatascience.net/event/integrated-earth-2023-conference/
LOCATION:Shine Dome\, Canberrra
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230827T153000
DTEND;TZID=Australia/Brisbane:20230827T170000
DTSTAMP:20230809T030342Z
CREATED:20230809T030206Z
LAST-MODIFIED:20230809T030342Z
UID:4894-1693150200-1693155600@australiandatascience.net
SUMMARY:National Science Quiz
DESCRIPTION:The ADSN is proud to help support the National Science Quiz!\nEver since it was established in 2016\, the National Science Quiz aims to celebrate science and inspire the next generation of Aussie scientists. \nHosted by Charlie Pickering\, two teams of Australiaʼs leading scientific minds will battle it out… the winning team leaving victorious and the losing team slimed live-on-stage! \nIn the audience and around the country\, thousands join in to play along with the quiz and compete for cash prizes\, trophies and the honour of calling themselves National Science Quiz Champions! \n\nSunday\, 27 August at 3:30 pm AEST\nIn person: The Capitol\, Melbourne – BOOK TICKETS\nOnline: Streaming on YouTube – REGISTER\n\nPRIZES! \n\nSchool Teams Prize (Grades 7-12) – $1\,000\nLive Audience Prize – $500\nOnline Prize – $250\n\nJoin up. Compete. Win! \n  \n 
URL:https://australiandatascience.net/event/national-science-quiz/
LOCATION:Melbourne or Online\, Australia
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230816T113000
DTEND;TZID=Australia/Brisbane:20230816T130000
DTSTAMP:20230724T032541Z
CREATED:20230724T032541Z
LAST-MODIFIED:20230724T032541Z
UID:4854-1692185400-1692190800@australiandatascience.net
SUMMARY:University of Wollongong 2023 Data Science & Statistics Lecture: Professor Antonietta Mira
DESCRIPTION:The School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong is hosting the 2023 Data Science and Statistics (DSS) Lecture \nLecturer: Antonietta Mira  \n\nProfessor of Statistics and Director of the Data Science Lab\, Università della Svizzera Italiana\, Lugano\, Switzerland\nProfessor of Statistics\, Insubria University\, Como\, Italy\n\nTitle: Data science for public health: Risk mapping of Out of Hospital Cardiac Arrest and the optimal deployment of defibrillators \n(Further details about this and past DSS Lectures can be found at https://uow.info/smas-ssl) \nDate: Wednesday\, 16 August 2023 \nTime: 11:30am in-person-only lecture\, with refreshments to follow\nVenue: Building 6\, Room 210\, University of Wollongong \nAbstract: Out of Hospital Cardiac Arrest (OHCA) is a major public-health problem that affects approximately 1:1000 people in developed countries. This lecture describes my collaborative peer-reviewed research with cardiologists in Switzerland since 2018\, to map and forecast OHCA risk\, and to use this to optimise Automatic External Defibrillator (AED) deployment in Canton Ticino\, Switzerland. Flexible location models were found to increase overall OHCA coverage and decrease the distance to nearby AEDs\, so saving lives and at the same time reducing public-health expenditure. For every minute lost in response time\, the AED success rate decreases by 7-10%. Geospatial models of OHCA and AED accessibility with uncertainty quantified\, were used to identify communities with the greatest gap between demand and supply for allocating AEDs\, which were then used to evaluate models for precise AED-location deployment. These were further used to evaluate strategies for deployment of Lay First Responders (LFRs) in relation to the OHCA and AED locations. A Bayesian spatio-temporal model with a dynamic temporal component was used to predict future OHCAs. Model-based risk maps adjusted for demographic covariates were used to explain and forecast the spatial distribution of OHCAs in Canton Ticino. The lecture will conclude with new work on using neural networks in the Bayesian spatio-temporal model\, which allows current and future detection of high-risk areas of OHCA with uncertainty quantified. \nThe lecture and refreshments that follow are open to all. For space availability and catering purposes\, please click here to register \nAntonietta has a strong commitment to STEM in Switzerland and Italy. She has won awards for excellence in both research and teaching. She has been involved in public engagement (such as EXPO Milano 2015) and has delivered public lectures (such as Festival of the Swiss Academy of Sciences 200 Year Anniversary). She is often interviewed in the media on topics related to Data Science and Big Data\, and she has created an exhibit\, Numbed by Numbers!\, which is a 3D tour between Digits (maths)\, Dice (probability)\, and Data (stats)\, aimed at children aged from 6 – 18. Antonietta is also winner of the 2022 G. Dosi national prize for popularising science for STEM students\, with publication of her book\, The Data Pandemic. Here is the Vaccine (2020\, Mondadori). In her free time\, she is a practicing magician with a special interest in mathematical magic\, which is presented in her book\, Matemagica (2012\, Aboca).
URL:https://australiandatascience.net/event/uow-data-science-stats-lecture/
LOCATION:University of Wollongong\, Northfields Ave\, Wollongong\, NSW\, 2522\, Australia
CATEGORIES:Event,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230805T000000
DTEND;TZID=Australia/Brisbane:20230806T000000
DTSTAMP:20230724T034519Z
CREATED:20230724T034025Z
LAST-MODIFIED:20230724T034519Z
UID:4856-1691193600-1691280000@australiandatascience.net
SUMMARY:Machine Learning with Python
DESCRIPTION:Presenter: Patrick Robotham\, Head of Data Science at Magic. \nThis two day workshop aims to enable data scientists to incrementally incorporate Python in their workflow. After an introduction of Python basics\, the workshop focuses on developing Python models in a workflow framework that is most commonly seen in a production environment. Participants will benefit from a gentle introduction to Python on the first day before learning some powerful modelling concepts and tools on the second day. \nRegister via: https://statsoc.org.au/event-5330392
URL:https://australiandatascience.net/event/machine-learning-with-python/
LOCATION:Online
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230803T160000
DTEND;TZID=Australia/Brisbane:20230803T170000
DTSTAMP:20230727T234952Z
CREATED:20230727T234849Z
LAST-MODIFIED:20230727T234952Z
UID:4882-1691078400-1691082000@australiandatascience.net
SUMMARY:Doing an Ultrasound Scan of the Sun with AI
DESCRIPTION:This lecture is part of the Monash Conversations on AI and Data Science series\, which focuses on the impactful AI/data science research being done by Monash University researchers. The series is run by the Monash Data Futures Institute. \nSpeaker: Dr Alina Donea\, School of Mathematics\, Monash University \nAbstract \nIn the scenario of a strong solar coronal mass ejection\, we would only receive a mere 30-minute warning before an immense solar event\, which could have devastating consequences for our satellite technology and society. Regrettably\, this limited timeframe does not allow for the activation of emergency protocols or the implementation of practical measures. \nTo enhance our preparedness and minimize the potential impact\, it is imperative to strive for significantly longer warning periods. It is essential that we lend our ears to the Sun’s messages. In this session\, Dr Alina Donea will demonstrate the utilization of solar images (generated by AI and a deep neural network\, referring to conditional Generative Adversarial Network (sGAN)) to enhance predictions of solar activity from the side of the Sun that is not visible\, leading to significant advancements in space weather forecasting. \nREGISTER: https://www.eventbrite.com.au/e/doing-an-ultrasound-scan-of-the-sun-with-ai-tickets-681265502457
URL:https://australiandatascience.net/event/doing-an-ultrasound-scan-of-the-sun-with-ai/
LOCATION:Monash University\, 27 Chancellors Walk\, Clayton\, Victoria\, 3168\, Australia
CATEGORIES:Event,Seminar
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230728T123000
DTEND;TZID=Australia/Brisbane:20230728T133000
DTSTAMP:20230630T062219Z
CREATED:20230630T062219Z
LAST-MODIFIED:20230630T062219Z
UID:4840-1690547400-1690551000@australiandatascience.net
SUMMARY:Statistical Consulting Network July Meet-up
DESCRIPTION:Come along with your thinking cap\, maybe a problem\, and some lunch! \nThe Statistical Consulting Network invites you to its monthly meet-up\, a virtual lunchtime meeting where statisticians help each other out with problems that they aren’t sure how to deal with.  This virtual meeting is held on Zoom at lunchtime on the last Friday of each month\, 12:30-1:30 PM (AEST).  We start each meet-up with announcements\, or occasionally a special topic discussion\, then discuss problems that attendees have brought along with them. \nWe also have a Slack workspace where members of the consulting network can communicate between meetings\, or post problems or relevant materials they would like to discuss during a meeting. \n\nZoom link\nSlack Workspace Link
URL:https://australiandatascience.net/event/statistical-consulting-network-july-meet-up/
LOCATION:Virtual – Zoom and Slack\, Australia
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230718T133000
DTEND;TZID=Australia/Brisbane:20230718T143000
DTSTAMP:20230630T062543Z
CREATED:20230630T062543Z
LAST-MODIFIED:20230630T062543Z
UID:4842-1689687000-1689690600@australiandatascience.net
SUMMARY:HeSANDA Program Showcase and Health Data Australia Launch
DESCRIPTION:With 72 organisations\, the Health Studies Australia National Data Asset (HeSANDA) program unlocks the potential of health studies data via a new national platform\, Health Data Australia. \nJoin the ARDC to celebrate the achievements of the Health Studies Australia National Data Asset (HeSANDA) node projects and launch Health Data Australia for the Australian health research community. \nHealth Data Australia makes sharing and requesting access to data from health studies easier. \nThe framework for sharing clinical trial data was co-designed by the ARDC and experts and representatives for the initial 9 nodes of the  HeSANDA Network\, which cover 72 health research organisations\, health service operators and clinical trial networks from across Australia. More than 90 people took part in working groups\, incorporating feedback from research trial participants\, consumers\, researchers and trial organisers. \nHealth Data Australia allows clinical trialists and data custodians to share clinical trial data according to standards designed by the Australian clinical trials community and fulfil data-sharing requirements that come with public funding. The platform can subsequently be used by researchers who were not involved in the clinical trials to find and request access to this data. \nThe ARDC’s People Research Data Commons is taking HeSANDA forward as an enduring infrastructure for Australian researchers. \nSpeakers\n\nProfessor Steve Wesselingh\, incoming CEO of NHMRC\, Executive Director and Infection and Immunity Theme Leader at SAHMRI\, Chair of the NHMRC Research Committee\, Director of the NHMRC Council\, and President-elect of the Australian Academy of Health and Medical Sciences Limited (AAHMS)\nMs Wendy Keech\, Executive Director\, Health Translation SA\nDr Adrian Burton\, Deputy CEO and Director\, People Research Data Commons\, ARDC\nDr Kristan Kang\, Program Manager\, HeSANDA\, ARDC
URL:https://australiandatascience.net/event/hesanda-program-showcase-and-health-data-australia-launch/
LOCATION:Adelaide\, Adelaide\, South Australia\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230713T180000
DTEND;TZID=Australia/Brisbane:20230713T193000
DTSTAMP:20230630T061843Z
CREATED:20230630T061843Z
LAST-MODIFIED:20230630T061843Z
UID:4838-1689271200-1689276600@australiandatascience.net
SUMMARY:AMSI Public Lecture: How mathematics can inform public policy - or not
DESCRIPTION:As part of the AMSI Winter School 2023 conservation scientist and mathematician Professor Hugh Possingham (The University of Queensland) will give a public lecture on how the application of mathematics to real-world systems has impacted policy and management … or not. \nThis will be in-person at QUT or Online. \nMore info/Register
URL:https://australiandatascience.net/event/amsi-public-lecture-how-mathematics-can-inform-public-policy-or-not/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230710T093000
DTEND;TZID=Australia/Brisbane:20230713T180000
DTSTAMP:20230208T001402Z
CREATED:20230208T001402Z
LAST-MODIFIED:20230208T001402Z
UID:4439-1688981400-1689271200@australiandatascience.net
SUMMARY:SMC Down Under: AMSI-AustMS Workshop on Sequential Monte Carlo
DESCRIPTION:The SMC Down Under workshop will bring together the SMC community to discuss the theory and practice of sequential Monte Carlo. The workshop will consist of contributed talks\, posters\, and collaborative sessions to discuss current trends in SMC and its future directions. \nLocation and Dates\nQueensland University of Technology\, Brisbane\n10-13  July 2023 \nKeynote Speakers \nKeynote Speakers \n\nFrancesca Crucinio\, ENSAE Paris\nJeremy Heng\, ESSEC Business School\nSaifuddin Syed\, Oxford University\n\nDetails to submit contributed talks/posters to be announced soon. \nRegistration\nDetails and deadlines to be announced soon. \nTravel funding\nLimited travel funding will be available on a competitive basis to students and ECRs travelling to the workshop from overseas or interstate. \nChildcare\nSMC Down Under aims to be a family-friendly workshop. Limited funding will be available for childcare. Details to be announced soon. \nSponsors\nCentre for Data Science\, QUT\nAustralian Mathematical Sciences Institute\nAustralian Mathematical Society
URL:https://australiandatascience.net/event/smc-down-under-amsi-austms-workshop-on-sequential-monte-carlo/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event,Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230703
DTEND;VALUE=DATE:20230715
DTSTAMP:20230420T013948Z
CREATED:20230420T013907Z
LAST-MODIFIED:20230420T013948Z
UID:4717-1688342400-1689379199@australiandatascience.net
SUMMARY:AMSI Winter School: Modelling Our Changing Biosphere
DESCRIPTION:Develop Your Mathematical Science Skills And National Networks\nAMSI Winter School is an annual two-week event designed for postgraduate students\, early-career researchers and industry professionals in the mathematical sciences and related disciplines. \n\nThe focus of AMSI Winter School 2023 is the Earth’s biosphere\, which encompasses the interconnected physical and biological systems that support human life. The hybrid program will explore how mathematical modelling can help to preserve and sustain our biosphere in the face of human-driven change. \nThis year’s AMSI Winter School will be hosted by Queensland University of Technology.
URL:https://australiandatascience.net/event/amsi-winter-school-modelling-our-changing-biosphere/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230613T100000
DTEND;TZID=Australia/Brisbane:20230613T160000
DTSTAMP:20230531T055359Z
CREATED:20230531T055315Z
LAST-MODIFIED:20230531T055359Z
UID:4781-1686650400-1686672000@australiandatascience.net
SUMMARY:12th Annual AeRO Forum  - eResearch & Artificial Intelligence
DESCRIPTION:The Australasian eResearch sector is continually evolving and increasingly complex. Increased focus on sustainability and associated issues pose countless challenges for all organisations. \nJoin sector leaders to openly discuss important issues for Australasian eResearch via two Q&A style panel discussions. The first panel will focus on AI and ML in eResearch\, and the second related to the Research Data Culture Conversation (RDCC)\, followed by the opportunity to network with colleagues from Australia and New Zealand. \nThe annual AeRO National Forum is a one day event\, which attracts senior staff from its members as well as eResearch leads from institutions\, NCRIS capabilities\, discipline communities\, research centres\, funding bodies\, government and other agencies. Representatives from the Department of Education and Training are also invited.
URL:https://australiandatascience.net/event/12th-annual-aero-forum-eresearch-artificial-intelligence/
LOCATION:Canberra\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230605T160000
DTEND;TZID=Australia/Brisbane:20230605T170000
DTSTAMP:20230601T014354Z
CREATED:20230601T014354Z
LAST-MODIFIED:20230601T014354Z
UID:4784-1685980800-1685984400@australiandatascience.net
SUMMARY:Public Lecture: "Data Science Meets Life Science: Some Success Stories"
DESCRIPTION:Speaker: Professor Antonietta Mira\, Università della Svizzera italiana\, Switzerland and University of Insubria\, Italy\n\nMonday\, 5 June\n4 pm AEST\nQUT Gardens Point\, P-419 & Online\n\nHow can Data Science help improve our lives? Professor Antonietta Mira will present two research lines joint with the QUT Centre for Data Science on studying the evolution of biodiversity of the Great Barrier Reef and on clustering countries based on COVID-19 data dynamics.
URL:https://australiandatascience.net/event/public-lecture-data-science-meets-life-science-some-success-stories/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230518T100000
DTEND;TZID=Australia/Brisbane:20230518T150000
DTSTAMP:20230420T013529Z
CREATED:20230420T013529Z
LAST-MODIFIED:20230420T013529Z
UID:4714-1684404000-1684422000@australiandatascience.net
SUMMARY:Queensland Research Software Developers Forum
DESCRIPTION:QCIF and ARDC would like to invite you to the Queensland Research Software Developers Forum being held at UQ’s Global Change Institute. The forum will provide an in-person platform for research software developers to come together to network with your peers\, to share ideas and best practices\, and to foster the development of a strong local community of practice. \nParticipants will have the opportunity to highlight the depth and breadth of their software development activities and to showcase some of the projects they are working on. We’ll discuss the potential for greater cooperation and collaboration within the software developers community\, and will hold a knowledge-sharing session to explore solutions to any technical challenges that attendees have encountered. \nThe QCIF/ARDC Software Developers Forum will take place in the Global Change Institute at the University of Queensland St Lucia campus\, Thursday 18th May 10am to 3pm. There is no cost to attend this forum\, and morning tea and lunch will be provided. We encourage you to share this invitation with any colleagues or contacts who you think might also be interested in joining us. Please contact Mark Crowe (QCIF Skills Development Manager – mark.crowe@qcif.edu.au) for more information or to register for the forum.
URL:https://australiandatascience.net/event/queensland-research-software-developers-forum/
LOCATION:The University of Queensland\, St Lucia\, Queensland\, 4072\, Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230510
DTEND;VALUE=DATE:20230511
DTSTAMP:20230420T013214Z
CREATED:20230420T013214Z
LAST-MODIFIED:20230420T013214Z
UID:4711-1683676800-1683763199@australiandatascience.net
SUMMARY:Biosecurity Commons Launch
DESCRIPTION:Biosecurity Commons will officially launch on 10 May at the Annual Diagnostics and Surveillance Workshop 2023 in Canberra. Biosecurity Commons will deliver a cloud-based decision-support platform for modelling and analysing biosecurity risk and response. The project is a $1.8m joint initiative between the Australian and Queensland Government\, the NCRIS funded ARDC and four other organisations\, including the Centre of Excellence for Biosecurity Risk Analysis at The University of Melbourne\, Griffith University\, EcoCommons\, and the Atlas of Living Australia\, hosted by the CSIRO.
URL:https://australiandatascience.net/event/biosecurity-commons-launch/
LOCATION:Canberra\, Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230504T140000
DTEND;TZID=Australia/Brisbane:20230504T150000
DTSTAMP:20230427T003303Z
CREATED:20230427T003303Z
LAST-MODIFIED:20230427T003303Z
UID:4727-1683208800-1683212400@australiandatascience.net
SUMMARY:Getting to Know: The Australian Bureau of Statistics
DESCRIPTION:The Statistical Society of Australia’s Early Career and Student Statisticians Network (ECSSN) and the New Zealand Statistical Association (NZSA) present: Getting to Know: The Australian Bureau of Statistics. \n\nThursday\, 4 May at 2pm AEST\n\nIn this seminar\, Claire Clarke will give a brief overview of the Australian Bureau of Statistics and the work done by statisticians and data scientists there. She will outline the Data Graduate recruitment process and the ABS graduate development program\, as well as other opportunities for careers at the ABS. \nBenjamin Long will give some insights into his experiences as a graduate statistician at the ABS. \nAbout the presenters: \nClaire joined the ABS as part of the 2001 graduate cohort\, and has worked in a range of positions in the Methodology Division on projects that have covered sample design and selection\, dealing with missing data\, applications of natural language processing\, and the use of machine learning for anomaly detection and data cleaning amongst many others.  Claire is currently acting director of the Methodology Futures section\, a team focused on the use of large administrative datasets and data science techniques in the creation of statistics\, and she was the chair of the 2023 APS Data Graduate recruitment stream. \nBenjamin graduated from the University of New South Wales with a degree in statistics and accounting in 2021. He joined the Methodology Division through the ABS Graduate program in February 2022. Since then\, he has worked on several different projects involving time-to-event data analysis\, big data\, machine learning\, and is currently working on the production of life tables and Bayesian modelling.
URL:https://australiandatascience.net/event/getting-to-know-the-australian-bureau-of-statistics/
LOCATION:Online
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230502T160000
DTEND;TZID=Australia/Brisbane:20230502T180000
DTSTAMP:20230426T233131Z
CREATED:20230426T233131Z
LAST-MODIFIED:20230426T233131Z
UID:4721-1683043200-1683050400@australiandatascience.net
SUMMARY:DARE Seminar: How remote sensing and big data are changing our view of the coast
DESCRIPTION:Join the ARC DARE Centre for in-person seminar at UNSW\, followed by networking and nibbles! \nBig Data\, Big Dreams: How Remote Sensing and Big Data are Changing Our View of the Coast \nCoastal science and engineering is a relatively young field and historically has lacked sufficient data to be able to understand how this complex earth system works at both large temporal and spatial scales. Yet\, with a large portion of the world’s population living within 50km of the coastline\, we are being asked to provide advice and understanding on how coastlines will change into the future. \nThis talk will first provide a bit of context on just how data sparse our field is\, and how we are now engaging and rapidly trying to catch up to our hydrological colleagues. We will discuss how we are applying basic machine learning techniques to improve our ability to predict coastal change at a variety of timescales of interest to the public\, from individual storms\, to where the coast might be by 2100. \nThe talk will be aimed at a broadscale (non-expert) audience\, discussing the challenges associated with trying to model the coastline\, and the techniques we have so far applied\, and we’d love thoughts and ideas from the audience as well. \nSpeakers: Associate Professor Kristen Splinter and Patrick ‘Kit’ Calcraft \nKristen is an ARC Future Fellow and Deputy Director of the Water Research Laboratory at UNSW Sydney. Her work encompasses a wide range of coastal topics examining sandy beach evolution from storms to multiple decades. She has developed a number of behavioural type numerical models to predict sandbar and shoreline evolution and the focus of her Fellowship will be to develop regional scale models for long-term shoreline prediction\, along the embayed coastlines of NSW. She’s been dipping her toes into machine learning since about 2015 but her students are the real experts. \nKit is a DARE affiliated PhD candidate in his first year working on machine learning methods for shoreline prediction\, including bridging the gap between physics and ML. He is co-supervised by Associate Professor Kristen Splinter\, Dr Josh Simmons (DARE) and Professor Lucy Marshall. He will present an overview of what he’s been up to in year 1 of his PhD.
URL:https://australiandatascience.net/event/dare-seminar-how-remote-sensing-and-big-data-are-changing-our-view-of-the-coast/
LOCATION:UNSW School of Civil and Environmental Engineering\, Oval Lane\, Room 501\, Kensington\, NSW\, 2052\, Australia
CATEGORIES:Event,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230417T173000
DTEND;TZID=Australia/Brisbane:20230417T200000
DTSTAMP:20230405T062801Z
CREATED:20230405T062701Z
LAST-MODIFIED:20230405T062801Z
UID:4619-1681752600-1681761600@australiandatascience.net
SUMMARY:From Big Data to AI: Protecting Privacy in the Digital Age
DESCRIPTION:As data breaches dominate the headlines\, we explore the role that privacy plays in AI and machine learning. \n\nHow can we balance the benefits of using big data in AI with concerns over privacy and security?\nWhat are the opportunities and complications of data sharing?\nHow can we effectively keep data private?\n\nGuest Speakers: \n\nProfessor Raja Jurdak\, QUT\nDr Ides Wong\, CSIRO\nDr Kelvin Ross\, QLD AI Hub\n\nThis is an in-person event\, so please register: https://www.eventbrite.com.au/e/from-big-data-to-ai-protecting-privacy-in-the-digital-age-tickets-596280951377 \nThis event will also provide a great networking opportunity!
URL:https://australiandatascience.net/event/from-big-data-to-ai-protecting-privacy-in-the-digital-age/
LOCATION:Queensland AI Hub\, 315 Brunswick Street\, Fortitude Valley\, Queensland\, 4006\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230309T180000
DTEND;TZID=Australia/Brisbane:20230309T190000
DTSTAMP:20230131T015027Z
CREATED:20230131T015027Z
LAST-MODIFIED:20230131T015027Z
UID:4371-1678384800-1678388400@australiandatascience.net
SUMMARY:AI for Good and the Bootstrapping Problem - Monash Prato Dialogue
DESCRIPTION:The Monash Data Futures Institute is hosting its first Monash Prato Dialogue lecture of the year with guest speaker\, Professor Shannon Vallor from the University of Edinburgh. Professor Vallor will discuss the bootstrapping problem with calls to align AI with social good. \nREGISTER\nAbout the speaker \nProfessor Shannon Vallor is the Baillie Gifford Professor in the Ethics of Data and Artificial Intelligence in the University of Edinburgh’s Department of Philosophy. She directs the Centre for Technomoral Futures in the Edinburgh Futures Institute and co-directs the UKRI Enabling a Responsible AI Ecosystem programme. She is also a Fellow of the Alan Turing Institute. \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 Prof 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. \nProf 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-2/
LOCATION:Online
CATEGORIES:Event
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230308T110000
DTEND;TZID=Australia/Brisbane:20230308T160000
DTSTAMP:20230220T225537Z
CREATED:20230220T225401Z
LAST-MODIFIED:20230220T225537Z
UID:4522-1678273200-1678291200@australiandatascience.net
SUMMARY:Australia's Rising WiDS Stars! (WiDS = Women in Data Science)
DESCRIPTION:  \nCelebrate International Women’s Day and Women in Data Science (WiDS) Day with the ADSN! \nJoin us throughout the day as the ADSN introduces you to more than two-dozen women in Data Science from around Australia who are quickly becoming rising stars in the field. They’ll share their journey\, why they’re in Data Science and what they’re doing\, and explore the issue of gender equity in STEM and what they experience in their careers and studies. Each person will speak for 10 minutes. \nSCHEDULE: WEDNESDAY\, 8 MARCH \n\n12pm to 5pm AEDT – Melbourne\, Sydney\, Canberra\n11:30 am to 4:30 pm ACDT – Adelaide\n11 am to 4 pm AEST – Brisbane\n9 am to 2 pm AWDT – Perth\n\nHEAD TO THE EVENT PAGE FOR MORE DETAILS
URL:https://australiandatascience.net/event/wids-2023/
LOCATION:Online
CATEGORIES:Event,Webinar
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230224T120000
DTEND;TZID=Australia/Brisbane:20230224T130000
DTSTAMP:20230130T061348Z
CREATED:20230130T061117Z
LAST-MODIFIED:20230130T061348Z
UID:4362-1677240000-1677243600@australiandatascience.net
SUMMARY:Data Science in the News: 2023 Through a Data Lens
DESCRIPTION:The QUT Centre for Data Science is kicking off its ‘Data Science in the News’ series for 2023 with a peak into the future. Centre experts will explore cool new trends and ideas along with key challenges and issues for the year ahead\, all through the lens of Data Science. \nGuest panellists: \n\nProf Margot Brereton – QUT School of School of Computer Science & Co-Lead of our Centre’s Human Centred AI Research Program\nA/Prof Kate Helmstedt – QUT School of Mathematical Sciences & Co-Lead of our Centre’s Environment & Natural Systems Domain\nDr Bernadette Hyland-Wood – QUT School of Communication & Co-Lead of our Centre’s Responsible Data Science Domain\nDr Char-lee McLennan – QUT School of Business & Co-Lead of our Centre’s Social Systems Domain\nDr Paul Wu – QUT School of Mathematical Science & Co-Lead of our Centre’s Sports Systems Domain\n\nhttps://research.qut.edu.au/qutcds/events/2023-through-a-data-lens/
URL:https://australiandatascience.net/event/data-science-in-the-news-2023-through-a-data-lens/
LOCATION:Online
CATEGORIES:Event,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230221T130000
DTEND;TZID=Australia/Brisbane:20230221T150000
DTSTAMP:20230130T061659Z
CREATED:20230119T231309Z
LAST-MODIFIED:20230130T061659Z
UID:4339-1676984400-1676991600@australiandatascience.net
SUMMARY:Institutional Research Data Management Framework Showcase
DESCRIPTION:The ARDC invites you to the launch of the Institutional Underpinnings Research Data Management (RDM) Framework. 25 Australian universities collaboratively developed this national institutional framework for RDM\, informing the design of policy\, procedures\, infrastructure and services\, as well as improving RDM coordination within and between Australian universities and research institutions. \nThe main launch event will be held in Canberra\, and will include presentations from universities who participated in collaborative projects in the program\, as well as an overview of the program’s future directions. \nThe event will be broadcast via Zoom to enable online participation. Local events will also be held in-person in Brisbane\, Sydney\, Toowoomba and Melbourne\, where attendees can watch the launch presentation and hear from local participants in the program. \nKeynote speakers: \n\nRosie Hicks\, CEO\, Australian Research Data Commons (ARDC)\nNatasha Simons\, Associate Director\, Data & Services\, Australian Research Data Commons (ARDC)\nRoxanne Missingham\, University Librarian (Chief Scholarly Information Officer)\, Australian National University (ANU)\nNichola Burton\, Data Technologist\, Australian Research Data Commons (ARDC)\nMatthew Bellgard\, Director eResearch\, Queensland University of Technology (QUT)\nLyle Winton\, Manager Digital Stewardship\, The University of Melbourne\nJac Charlesworth\, Associate Director\, Digital Research Services\, University of Tasmania\nAdrian Chew\, Academic Development Consultant and Adjunct Lecturer\, School of Education at UNSW\n\nWho would benefit from attending \nDecision-makers and those who provide support in research data management at universities and other research institutions. \nIn-person locations \n\nCanberra – Australian National University\, McDonald room\, Menzies Library Building 2\, McDonald Rd Acton\, ACT 2601 (Main Venue)\nMelbourne – Swinburne University of Technology\, SPS136\, Swinburne Place South Building\, Westfield Street\, Hawthorne\nBrisbane – Griffith University\, Room S05 2.04\, 226 Grey St\, South Bank\, Qld 4101\nToowoomba – University of Southern Queensland\nSydney – University of Technology\, Sydney\n\nNote: In-person events may have earlier start times – you will receive the full details for your selected event via email. \nMore satellite event venues will be announced on this page as event planning progresses. Please keep an eye out for new city locations. \nContact natasha.simons@ardc.edu.au for more information. \nLearn more about the Institutional Underpinings program.
URL:https://australiandatascience.net/event/institutional-research-data-management-framework-showcase/
LOCATION:Multiple locations & Online
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230215T120000
DTEND;TZID=Australia/Brisbane:20230215T160000
DTSTAMP:20230130T060833Z
CREATED:20230130T060833Z
LAST-MODIFIED:20230130T060833Z
UID:4359-1676462400-1676476800@australiandatascience.net
SUMMARY:ARCOS Symposium 2023
DESCRIPTION:The ARCOS (Australian Research Container Orchestration Services) Symposium brings the digital research community together to share expertise\, and discuss use cases of containers and kubernetes in research. \nFeatured talks \n\nKeynote: Dr Paul Coddington\, Associate Director\, Research Cloud and Storage\, ARDC Nectar Research Cloud\nHandle microservice-based architecture challenges with AWS\, Dr Aarthi Natarajan\, Technical Trainer\, AWS\nNational Jupyter Notebook Service\, Andy Botting\, Technical Lead\, ARDC Nectar Research Cloud\n\nOpen to all. View the agenda and register: https://bit.ly/ARCOSSymposium23
URL:https://australiandatascience.net/event/arcos-symposium-2023/
LOCATION:Online
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230213T000000
DTEND;TZID=Australia/Brisbane:20230222T000000
DTSTAMP:20230207T233734Z
CREATED:20230207T233702Z
LAST-MODIFIED:20230207T233734Z
UID:4435-1676246400-1677024000@australiandatascience.net
SUMMARY:AMSI-ANZIAM Lecture Tour
DESCRIPTION:The AMSI-ANZIAM Lecture Tour Invites A Distinguished International Academic In An Applied Mathematical Field To Speak At Universities Across Australia After The Conclusion Of The ANZIAM Conference. It Includes A Series Of Talks Including Specialist And Public Lectures. The Tour Is Organised Biennially By AMSI And Is Supported By ANZIAM. \nSpeaker\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nProfessor Konstantin Avrachenkov\n\n\n\n\n\n\n\n\nNational Institute for Research in Digital Science and Technology (INRIA) \nKonstantin Avrachenkov received his Master degree in Control Theory from St. Petersburg State Polytechnic University (1996)\, Ph.D. degree in Mathematics from University of South Australia (2000) and Habilitation from University of Nice Sophia Antipolis (2010). Currently\, he is a Director of Research at Inria Sophia Antipolis\, France. He is an associate editor of the International Journal of Performance Evaluation\, Probability in the Engineering and Informational Sciences\, ACM TOMPECS\, Stochastic Models and IEEE Network Magazine. Konstantin has co-authored two books “Analytic Perturbation Theory and its Applications”\, SIAM\, 2013 and “Statistical Analysis of Networks”\, Now Publishers\, 2022. He has won 5 best paper awards. His main theoretical research interests are Markov chains\, Markov decision processes\, random graphs and singular perturbations. He applies these methodological tools to the modeling and control of networks\, and to design data mining and machine learning algorithms. \n\nSchedule:\nMonday 13 February\, University of South Australia\nSpecialist Lecture: Singularly Perturbed Markovian Models: From Queues to Web Ranking and Reinforcement Learning \nMarkov chains represent a versatile tool for modelling phenomena in nature and technology. Many phenomena unfold on several time scales. In this talk I first give an accessible introduction to Markov chains and in particular to singularly perturbed Markov chains\, which are stochastic dynamical models with several time scales. Then\, I demonstrate the application of singularly perturbed Markov chains to queueing systems\, web ranking and reinforcement learning. \nWednesday 15 February\, RMIT\nSpecialist Lecture: Random-walk Based Sampling in Social Networks \nHow many friends do social network members have on average? What is a proportion of a certain sub-population in a social network? Are online social network users more likely to form friendships with those with similar attributes? Such questions frequently arise in the context of social network analysis\, but often crawling an online social network via its application programming interface and conducting surveys in offline social networks are resource consuming and are prone to errors. Using regenerative properties of the random walks\, we describe estimation techniques based on short crawls that have proven statistical guarantees. Moreover\, these techniques can be implemented in low-complexity distributed algorithms. \nFriday 17 February\, Australian Bureau of Statistics\nSpecialist Lecture: Random Graph Models\, Network Centralities and Graph Clustering \nMany real-world complex networks share a number of common properties such as sparsity\, heavy-tailed degree distribution\, the existence of a giant connected component\, small world property and edge transitivity. Firstly\, I review several basic random graph models such as Erdos-Renyi random graph\, exponential family of random graph models (ERGMs)\, stochastic block models (SBMs)\, random geometric graphs\, and indicate which model can represent well a given property. Secondly\, I describe the main network centrality indices which can be applied to study network structure or to assess network robustness. I conclude with an overview of main methods in graph clustering with a particular emphasis on the methods designed with the help of random graph models and on the methods using centrality indices. \nMonday 20 February\, University of Newcastle\nSpecialist Lecture: Reinforcement Learning for Restless Bandits \nThe Whittle index policy is a heuristic that has shown remarkably good performance and guaranteed asymptotic optimality when applied to the class of hard problems known as Restless Multi-Armed Bandit Problems (RMABPs). Some examples of applications of RMABPs are: machine maintenance\, wireless channel scheduling\, A/B testing and clinical trials\, just to name a few. RMABP provides a classical example when a decision-maker needs to balance between exploration and exploitation. We present two approaches (tabular and neural network based) for learning the Whittle indices. The key feature of our approaches is the usage of two time-scales\, a faster one to update the state-action Q-values\, and a relatively slower one to update the Whittle indices. The neural network based approach computes the Q-values on the faster time-scale and is able to extrapolate information from one state to another\, which makes the approach naturally scalable to environments with large state spaces. We present both the theoretical convergence analysis as well as illustrations by numerical examples. \nWednesday 22 February\, The University of Queensland\nPublic Lecture: Aesthetics and ubiquitous applications of Markov chains \nMarkov chains\, mathematical models that describe sequences of dependent events\, were created to make a point in a philosophical discussion and to explain the beauty of the poetry. Even though we may debate the practicality of explanations of aesthetics\, it is generally accepted that Andrey Markov (1856-1922) contributed to this philosophical dispute and\, in the process\, originated one of the most powerful tools of applied mathematics\, physics and data science. \nIn this talk\, I first give an accessible introduction to Markov chains and in particular to singularly perturbed Markov chains. These are stochastic dynamical models with several time scales and\, as such\, are well suited to represent many natural and technological phenomena. In particular\, I discuss the application of Markov chains and singularly perturbed Markov chains in linguistics\, linked data analysis and reinforcement learning. \n\n\n\n\n\n\n\n 
URL:https://australiandatascience.net/event/amsi-anziam-lecture-tour/
LOCATION:Various locations
CATEGORIES:Event
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