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X-WR-CALNAME:Australian Data Science
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
TZOFFSETTO:+1000
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230827T153000
DTEND;TZID=Australia/Brisbane:20230827T170000
DTSTAMP:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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:20260610T075949
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230209
DTEND;VALUE=DATE:20230211
DTSTAMP:20260610T075949
CREATED:20220805T053551Z
LAST-MODIFIED:20221029T231346Z
UID:3559-1675900800-1676073599@australiandatascience.net
SUMMARY:ARDC Digital Research Skills Summit
DESCRIPTION:The Summit is for anyone interested in driving the development of a national digitally skilled research workforce. \n\nAbout this event\n\n\n\nWhat’s happening at this year’s Skills Summit? \nGuest speakers: Hear what end users think about skills training. \nInvited speakers from end user groups describing the impact and value of data and digital research skills training. What value do researchers\, infrastructure managers\, data scientists\, or industry stakeholders place on skills training? \nWorking meetings: Come ready to roll up your sleeves. Share with and learn from peers. \nDesigned to engage and motivate collaborative action on the big nuggety issues facing our training communities. \n\nWhat skills and for whom?\n\n\nDo capability frameworks help?\n\n\nWhat does resourcing\, coordination and collaboration look like for ensuring workforce development for skills trainers?\n\n\nWhat do trainers\, execs\, national infrastructures and researchers need to do to ensure a sustainable future for skills training?\n\nNetworking: Welcome back to in-person connections! \nAmple opportunities are planned to ensure we all (re)connect in-person and in consequential ways. \nWho should attend? \nThe Skills Summit is ideal for people who: \n\nprovide training programs in research data\, software and infrastructure\n\n\ndevelop communities to enable knowledge transfer around digital skills for researchers\n\n\nmake decisions about research data\, software and infrastructure training program offerings at their organisation\, institution\, or department\n\n\nhave an interest in furthering research data management\, software design and utilisation\, high performance computing\, cloud and related digital infrastructure training programs at a local and national level\n\n\nare responsible for policy decisions around digitally skilled research support professionals including technology\, education\, employment and/or funding policy.\n\nDetailed program to be announced soon. Stay tuned.
URL:https://australiandatascience.net/event/ardc-digital-research-skills-summit/
LOCATION:Sydney\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230207T083000
DTEND;TZID=Australia/Brisbane:20230207T140000
DTSTAMP:20260610T075949
CREATED:20230130T051322Z
LAST-MODIFIED:20230130T051610Z
UID:4351-1675758600-1675778400@australiandatascience.net
SUMMARY:DARE 2023 Symposium: Data. Domains. Decisions.
DESCRIPTION:The ARC Training Centre in Data Analytics for Resources and Environments (DARE) will be showcasing work from its multidisciplinary\, world-class data scientists and collaborations with partner organisations. \nDARE takes on the grand challenges facing Australia’s biodiversity\, mineral sector and water security using data science approaches. \nJoin us for specialist presentations on how our academic and industry researchers are using data science to quantify uncertainty in complex models of natural systems at scale\, including: \n\nKeynote speaker: DARE CI\, David Warton – Ecological statistician and author of Eco-Stats: Data Analysis in Ecology\nGeoscience Australia‘s Dr Andrew McPherson\nMr Mike Day from the NSW Dept of Planning and Environment\nDARE’s talented PhD Candidates\n\nRESERVE A SPOT
URL:https://australiandatascience.net/event/dare-2023-symposium-data-domains-decisions/
LOCATION:The Refectory\, Science Road\, Camperdown\, NSW\, 2006\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230207T073000
DTEND;TZID=Australia/Brisbane:20230208T153000
DTSTAMP:20260610T075949
CREATED:20221129T034913Z
LAST-MODIFIED:20221129T034913Z
UID:4154-1675755000-1675870200@australiandatascience.net
SUMMARY:HASS Research Data Commons and Indigenous Research Capability Computational Skills Summer School
DESCRIPTION:The Australian Research Data Commons (ARDC) invites you to the HASS Research Data Commons and Indigenous Research Capability (HASS RDC and IRC Program) Computational Skills Summer School. \nThe Summer School will feature skills development workshops to help researchers use the research infrastructure that we are creating in the HASS RDC and IRC Program for your research. \nThe projects from the HASS RDC and IRC Program will present workshops on using the tools and platforms. \nThe Summer School will include skills development workshops on: \n\nBasic data management skills\nUsing Jupyter Notebooks\nThe Australian Text Analytics Platform\nUsing the Indigenous Data Catalogue\n\nTravel Bursaries for Early and Mid-Career and Indigenous Researchers and Stakeholders \nWith generous support from the ARDC\, we are pleased to offer up to six $1\,000 travel bursaries to support the attendance and participation of Indigenous\, HDR and Early- and Mid-Career Researchers (EMCRs) at the symposium. For more details and to apply\, please complete this form. \nIMPORTANT: The workshop is being held in person only due to the nature of interactive workshops. Light refreshments and lunch will be provided.
URL:https://australiandatascience.net/event/hass-research-data-commons-and-indigenous-research-capability-computational-skills-summer-school/
LOCATION:Sydney\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230202T073000
DTEND;TZID=Australia/Brisbane:20230203T153000
DTSTAMP:20260610T075949
CREATED:20221129T035118Z
LAST-MODIFIED:20221129T035118Z
UID:4156-1675323000-1675438200@australiandatascience.net
SUMMARY:ARDC HASS Research Data Commons and Indigenous Research Capability Symposium
DESCRIPTION:The Australian Research Data Commons (ARDC) invites you to the HASS Research Data Commons and Indigenous Research Capability Symposium (HASS RDC and IRC Program). \nThe Symposium will showcase the research infrastructure we are creating in the HASS RDC and IRC Program and the potential for improved research outcomes that it supports. \nPresentations will be given by partners from the HASS RDC and IRC Program. \nMore details and full agenda to come. \nTo find out more about the HASS RDC and IRC program\, visit our webpage. \nTravel Bursaries for Early and Mid-Career and Indigenous Researchers and Stakeholders \nWith generous support from the ARDC\, we are pleased to offer up to six $1\,000 travel bursaries to support the attendance and participation of Indigenous and Early and Mid-Career Researchers (EMCRs) to the symposium. To learn more and apply please complete this form. \nWe are looking forward to seeing you in person in Melbourne. \nIf you won’t be able to travel\, virtual attendance is available via Zoom. The Zoom meeting link will be provided closer to the event date.
URL:https://australiandatascience.net/event/ardc-hass-research-data-commons-and-indigenous-research-capability-symposium/
LOCATION:Melbourne\, Melbourne\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230109
DTEND;VALUE=DATE:20230204
DTSTAMP:20260610T075949
CREATED:20220904T225641Z
LAST-MODIFIED:20220904T225641Z
UID:3764-1673222400-1675468799@australiandatascience.net
SUMMARY:AMSI Summer School 2023
DESCRIPTION:Celebrating its 21st year\, AMSI Summer School is Australia’s biggest annual national event for honours and postgraduate students in the mathematical sciences. Connect with peers\, researchers and potential future employers while developing your mathematical skills. You can even take a subject for credit! View subjects/more information
URL:https://australiandatascience.net/event/amsi-summer-school-2023/
LOCATION:The University of Melbourne\, Parkville\, Victoria\, 3010\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20221215T180000
DTEND;TZID=Australia/Brisbane:20221215T193000
DTSTAMP:20260610T075949
CREATED:20221129T000741Z
LAST-MODIFIED:20221129T000833Z
UID:4151-1671127200-1671132600@australiandatascience.net
SUMMARY:AI at the intersection of species conservation and climate action
DESCRIPTION:Can we harness Artificial Intelligence (AI) as a tool at the intersection of species conservation and climate change? Join the Monash Data Futures Institute for this hybrid session with UN’s AI For Good Global Summit\, as they discuss this question with a panel of experts across the disciplines of Ecology\, Conservation\, Computer Science\, Data Science\, and Communications.
URL:https://australiandatascience.net/event/ai-at-the-intersection-of-species-conservation-and-climate-action/
LOCATION:Monash University & Online
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221206
DTEND;VALUE=DATE:20221210
DTSTAMP:20260610T075949
CREATED:20220907T024520Z
LAST-MODIFIED:20220907T024520Z
UID:3793-1670284800-1670630399@australiandatascience.net
SUMMARY:AustMS 2022
DESCRIPTION:The 66th Annual Meeting of the Australian Mathematical Society (AustMS) will be held at UNSW Sydney from 6-9 December 2022. \nRegistrations are now open at: https://conference.unsw.edu.au/en/austms2022
URL:https://australiandatascience.net/event/austms-2022/
LOCATION:Sydney\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221121
DTEND;VALUE=DATE:20221123
DTSTAMP:20260610T075949
CREATED:20220822T060648Z
LAST-MODIFIED:20221120T070514Z
UID:3707-1668988800-1669161599@australiandatascience.net
SUMMARY:ADSN Inaugural Conference
DESCRIPTION:Day\n				Hour\n				Minute\n				Second\n	Welcome to the inaugural conference for the Australian Data Science Network! The QUT Centre for Data Science is host organisation for the conference being held at QUT in Brisbane over two days on Monday and Tuesday\, 21-22 November. \nThe ADSN conference is an in-person event. One of the main aims is to get members from partner organisations together to build collaborations across the network that have not happened because of the COVID-19 pandemic. \nWe have an exciting lineup of invited speakers and other events! \nKeynote Speaker \n\nDay 1: Tomasz Bednarz\, Director of Strategic Researcher Engagement at NVIDIA\nDay 2: Richard Fox\, Data & Analytics Manager for the AFL (Australian Football League)\n\n				\n				\n				\n	Invited Speakers\n	Day 1: Monday\, 21 November \n					Becki Cook\, Centre Manager\, QUT Centre for Data Science\n											Expand\nTitle: Indigenous Data Science: co-designing a framework for best practice enhancement of data literacy.  \nAbstract: This session will explore considerations surrounding Indigenous Research\, in particular developing Indigenous research projects\, undertaking research with Aboriginal and Torres Strait Islander Peoples\, Indigenous data sovereignty and data governance. This will be demonstrated though discussing how researchers in the QUT Centre for Data Science are engaging with the Aboriginal and Torres Strait Islander Community Heath Service Brisbane to co-design a framework for best practice enhancement of data literacy. \n					A/Prof Yoni Nazarathy\, The University of Queensland\n											Expand\n					Title: Julia as a data science research tool. \nAbstract: Data Science practice and research thrives on open source computer programming languages and their supporting ecosystems. When taking the statistical viewpoint\, the R language is probably the most common choice\, and when focusing on machine learning\, Python certainly rules. However\, most computationally demanding packages for these languages use other machinery under the hood\, often written in C or Fortran. This prevailing “multi-language” approach is fine for high level end users\, yet it poses a serious entry barrier for research and innovation. It requires those developing and deploying new computationally intensive data science ideas to have expertise not only in data science domains\, but also in low level software engineering. \nThe emerging Julia language and its ecosystem aims to overcome this barrier by leveraging on several 21st century software technologies and ideas. Julia “feels like” a combination of Matlab\, Python\, and R to the end user\, yet runs incredibly fast. Since its birth\, about a decade ago\, Julia has attracted practitioners and researchers from applied maths\, operations research\, machine learning\, statistics\, and general data science domains\, and by now it hosts a rich eco-system useful both for applied high level data science analysis\, and for quick transfer of new research ideas from pen and paper to software. In this talk we discuss the Julia data science eco-system and highlight the pros and cons of using Julia as data science research tool. \n					Dr Emi Tanaka\, Monash University Econometrics & Business Statistics\n											Expand\n					Title: Towards a unified language in experimental designs \nAbstract: Experimental data are hallmarks of scientific evidence to prove or disprove theories or hypotheses. Multiple people with different expertise are typically involved in planning and executing experiments but rarely is the communication easy or seamless\, especially across people from different domains\, yet we predicate on the assumption that misapprehensions will be somehow sorted out. This assumption leaves the success of an experiment at the mercy of the interpersonal communication skills of people involved. Rather than leaving the success of an experiment to serendipity\, I propose a novel framework to robustify the workflow of the construction of experimental designs that encourages users to deliberate on understanding the experimental structure. This framework\, called “the grammar of experimental designs”\, considers an object oriented system to encapsulate the experimental structure in a cognitive programming approach. I demonstrate this approach using the R packages\, edibble and deggust. \n					Dr Astrid Zeman\, Melbourne Centre for Data Science\n											Expand\n					Title: Analysing images using Deep Convolutional Neural Networks to supplement human decision making \nAbstract: Recognising and classifying objects within images is generally a straightforward task for Deep Convolutional Neural Networks (DCNNs)\, with their performance exceeding humans in benchmark competition datasets since 2015. Their impressive performance on object images allow for relatively simple integration into automated systems. An open question is how well do these networks deal with more challenging datasets\, such as those containing medical images\, which would require a level of visual expertise in human observers? I describe a case study in collaboration with the UZLeuven hospital in Belgium\, where we analysed a dataset of over 30\,000 microscopy images of fertilised human embryos. To date\, DCNNS have assisted in classifying embryos as early as day 5 after insemination. We investigated whether DCNNs could successfully predict the destiny of each embryo (discard or transfer) at an even earlier stage\, namely at day 3. We first assessed whether the destiny of each embryo could be derived from technician scores\, to examine whether the ratings that technicians gave to images correlated with the decision made. We then explored whether a DCNN could make accurate predictions using images alone. We found that a simple 8-layer network was able to achieve 75.24% accuracy of destiny prediction\, outperforming deeper\, state-of-the-art models. Importantly\, when analysing cases of transferred embryos\, we found that our lean\, DCNN predictions were correlated (0.65) with clinical outcomes. I describe some of the known shortcomings of DCNNs compared to human observers\, which is especially relevant when integrating this technology within a clinical context for making medical decisions. \n	Industry Panel (Day 1)\n\nDr Matt Aburn\, WearOptimo\nEmma Black\, Black Box Co\nProf Mark Harvey\, QUT VP of Business Development\nSuzy Lynch-Watson\, Metso Outotec\nDr Iain McCowan\, Dubber AI\n\nModerator: Prof Michael Rosemann\, Director of QUT’s Centre for Future Enterprise \n	CONFERENCE LOCATION: \nQUT Gardens Point Campus\, S-Block\, Room 1215 \n\nQUT Campus Map\n\nClick here for accommodation options near QUT Gardens Point. \n	Day 2: Tuesday\, 22 November \n					Prof Joanna Batstone\, Monash Data Futures Institute\n											Expand\n					Title: “AI and data science for social good” \nAbstract: The Monash Data Futures Institute brings together leading cross-disciplinary expertise\, international partnerships and a large affiliate network to address future technologies\, social partnerships and advanced applications. The Institute’s ifocus areas include using data-driven AI to enhance governance and policy\, sustainable development\, climate change\, health sciences and thriving communities.  This talk will include examples of the AI and data science work underway at Monash in the context of Australia’s opportunity for AI leadership around social change. \n					Prof Lewis Mitchell\, The University of Adelaide\n											Expand\n					Title: Data science and mathematical modelling \nAbstract: Data science has become one of the “buzzwords” of the past 10 years\, in both academic and industry contexts. However\, it involves many of the same core skills once associated with mathematical modelling: real-world applications\, computation\, data analysis\, and importantly\, assumptions-based modelling. Does data science present an existential threat to mathematical modellers? In this talk I’ll attempt to define data science\, and discuss its interconnections with mathematical modelling\, illustrating with examples from my own research. Far from being a threat\, I will argue that data science and mathematics (both pure and applied) have many synergies\, and that the two disciplines can work together and interact for mutual benefit. \n					Prof Richi Nayak\, QUT Centre for Data Science\n											Expand\n					Title: Neural Natural Language Processing Methods with added Context \nAbstract: In this talk\, I will present novel methods of deep learning models with added contexts to deal with the text data for natural language processing tasks. I will present an Informed Machine Learning model for sentiment mining with prior information. I will also show how topic modelling of text data can be improvised by utilising visual information with a deep learning model. \n					Dr Ides Wong\, CSIRO\n											Expand\n					Title: Healthcare\, tech-celerated: using data to power an open and equitable health system. \nAbstract: “Excellence is never an accident. It represents the wise choice of many alternatives”. An excellent healthcare system hinges on using timely and good-quality data to support decision making\, at both the clinician-patient level and across systems level. \nOur pandemic response highlighted the use of data to support timely and high-quality decisions across all levels of individual-behaviour\, clinical operation\, system administration and health and intergovernmental policy. Enabled by data and technology\, health and medical services\, research and industry partners worked together and created a more open and equitable health system. \nThe pandemic has “tech-celerated” the healthcare sector in developing and implementing innovative breakthroughs there were previously considered fantastical. Iterative improvement and innovation are essential to underpin the safe and effective evolution of our healthcare system to meet a rapidly changing healthcare environment. At the CSIRO Australia e-Heath Research Centre\, we undertake research and develop technologies across the full spectrum from genome sequencing to systems-level analytics\, that: 1) transform health systems with data and artificial intelligence\, 2) transform healthcare delivery with virtual care; 3) improve health system efficiency and readiness with digital health; and 4) speed the transition to precision health. \nWith our existing conventions molten by the needs of a global pandemic\, we have a unique opportunity to create a new conversation around the future of human health and incorporate and build upon these ideas. \n					A/Prof Andrew Zammit Mangion\, University of Wollongong\n											Expand\n					Title: Deep learning for facilitating parameter estimation in statistical models \nAbstract: Parameter estimation is often the computational bottleneck in analyses involving intractable statistical models. In the first part of the talk I will show how deep learning models trained to be Bayes estimators can alleviate this computational burden. The trained “neural Bayes estimators” yield optimal parameter estimates from data at a fraction of the computational cost typically associated with parameter estimation. In the second part of the talk I show how permutation-invariant neural networks are ideal for being trained as Bayes estimators when the data are exchangeable. In experiments involving multiple replicates and spatial models of extremes\, I show that these permutation-invariant neural Bayes estimators considerably outperform other neural-network-based estimators that do not account for replication appropriately in their network design\, and that they are highly competitive and much faster than traditional likelihood-based estimators. The work is joint work with Matthew Sainsbury-Dale (University of Wollongong) and Raphael Huser (KAUST). \n				\n				\n				\n				\n				\n				\n	\n\n\n\nDay 1 – Monday 21st November\n\n\n\nTime\nDuration\nItem\n\n\n8:45am\n30 mins\nCoffee/sign In\n\n\n9:15am\n15 mins\nUncle Cheg – Welcome to Country\n\n\n9:30am\n45 mins\nKeynote – Tomasz Bednarz\, NVIDIA\n\n\n10:15am\n45 mins\nWelcome by Kerrie and Meet and Greet\n\n\n11:00am\n30 mins\nBreak\n\n\n11:30am\n30 mins\nInvited talk – Yoni Nazarathy\, The University of Queensland\n\n\n12:00pm\n30 mins\nInvited talk – Astrid Zeman\, Melbourne Centre for Data Science\n\n\n12:30pm\n1 hour\nLunch Break\n\n\n1:30pm\n45 mins\nCommunications Workshop – Tim Macuga\, ADSN\n\n\n2:15pm\n30 mins\nInvited talk – Emi Tanaka\, Monash University Econometrics & Business Statistics\n\n\n2:45pm\n30 mins\nInvited talk – Becki Cook\, QUT Centre for Data Science\n\n\n3:15pm\n30 mins\nBreak\n\n\n3:45pm\n1 hour\nIndustry Panel – “Reimagining Data Science”\n\n\n4:45pm\n15 mins\nClosing\n\n\n5:00pm\n1 hour\nPosters & Networking until 6pm\n\n\n\n	\n\n\n\nDay 2 – Tuesday\, 22nd November\n\n\n\nTime\nDuration\nItem\n\n\n8:30am\n30 mins\nCoffee/sign In\n\n\n9:00am\n15 mins\nKerrie Mengersen Open & Welcome to Country Video\n\n\n9:15am\n45 mins\nKeynote – Richard Fox\, AFL Data & Analytics\n\n\n10:00am\n30 mins\nMeet and Greet Activity\n\n\n10:30am\n30 minutes\nInvited talk – Joanna Batstone\, Monash Data Futures Institute\n\n\n11:00am\n30 mins\nBreak\n\n\n11:30am\n30 mins\nResponse to Science Academy Report on Advancing Data-intensive research\n\n\n12:00pm\n30 mins\nInvited talk – Ides Wong\, CSIRO\n\n\n12:30pm\n1 hour\nLunch Break\n\n\n1:30pm\n75 mins\nADSN Profile – planning\n\n\n2:45pm\n30 mins\nInvited talk – Lewis Mitchell\, University of Adelaide\n\n\n3:15pm\n30 mins\nBreak\n\n\n3:45pm\n30 mins\nInvited talk – Andrew Zammit Mangion\, University of Wollongong\n\n\n4:15pm\n30 mins\nInvited talk – Richi Nayak\, QUT Centre for Data Science\n\n\n4:45pm\n15 mins\nClosing\n\n\n5:00pm\n1 hour\nPosters & Networking until 6pm
URL:https://australiandatascience.net/event/2022-conference/
LOCATION:QUT\, Queensland University of Technology\, Brisbane\, Queensland\, 4000\, Australia
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://australiandatascience.net/wp-content/uploads/2022/08/ADSN-2022-Conf-Eventbrite.jpg
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
END:VCALENDAR