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X-WR-CALDESC:Events for Australian Data Science
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
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DTSTART:20210101T000000
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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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230209
DTEND;VALUE=DATE:20230211
DTSTAMP:20221029T231346Z
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:20230130T051610Z
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:20221129T034913Z
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:20221129T035118Z
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:20220904T225641Z
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;VALUE=DATE:20221206
DTEND;VALUE=DATE:20221210
DTSTAMP:20220907T024520Z
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:20221120T070514Z
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
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221121
DTEND;VALUE=DATE:20221125
DTSTAMP:20220809T050427Z
CREATED:20220809T050427Z
LAST-MODIFIED:20220809T050427Z
UID:3586-1668988800-1669334399@australiandatascience.net
SUMMARY:AMSI BioInfoSummer 2022
DESCRIPTION:Develop your bioinformatics skills\, national networks and employability at AMSI BioInfoSummer 2022. Hosted by Melbourne Integrative Genomics\, participants will explore bioinformatics under the themes of high-resolution biology\, genome architecture\, whole-cell modelling\, populations over the four-day program.
URL:https://australiandatascience.net/event/amsi-bioinfosummer-2022/
LOCATION:The University of Melbourne\, Parkville\, Victoria\, 3010\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20221117T100000
DTEND;TZID=Australia/Brisbane:20221117T100000
DTSTAMP:20221031T213542Z
CREATED:20221031T213430Z
LAST-MODIFIED:20221031T213542Z
UID:4073-1668679200-1668679200@australiandatascience.net
SUMMARY:2022 Statistical Science Lecture - University of Wollongong
DESCRIPTION:Speaker: Michael I. Jordan\, UC Berkeley\nTitle: On Learning-Aware Mechanism Design\nAbstract:\nStatistical decisions are often given meaning in the context of other decisions\, particularly when there are scarce resources to be shared. Managing such sharing is one of the classical goals of microeconomics\, and it is given new relevance in the modern setting of large\, human-focused datasets\, and in data-analytic contexts such as classifiers and recommendation systems. I’ll discuss several recent projects that aim to explore the interface between machine learning and microeconomics\, including leader/follower dynamics in strategic classification\, a Lyapunov theory for matching markets with transfers\, and the use of contract theory as a way to design mechanisms that perform statistical inference.
URL:https://australiandatascience.net/event/2022-statistical-science-lecture-university-of-wollongong/
LOCATION:Wollongong & Virtual\, Wollongong\, NSW\, 2522\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221114
DTEND;VALUE=DATE:20221116
DTSTAMP:20221003T235038Z
CREATED:20221003T235008Z
LAST-MODIFIED:20221003T235038Z
UID:3912-1668384000-1668556799@australiandatascience.net
SUMMARY:Vocabulary Symposium 2022
DESCRIPTION:The symposium will bring together users\, creators\, and publishers of vocabularies across domains and sectors in Australia to share experiences and identify requirements for FAIR vocabularies underpinning cross-domain data. \nAnyone with an interest in vocabularies is welcome to participate. The event will be of particular interest to researchers\, data managers\, vocabulary publishers\, librarians and policy developers across the research\, government and industry sectors. \nThe symposium will be held online and in person\, on November 14 and 15\, 2022. Register to participate free of charge. \nThis event is supported by the Australian Data Archive\, Australian Research Data Commons\, and CODATA\, the International Science Council Committee on Open Data.
URL:https://australiandatascience.net/event/vocabulary-symposium-2022/
LOCATION:Canberra & virtual
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221025
DTEND;VALUE=DATE:20221028
DTSTAMP:20220904T232534Z
CREATED:20220904T232534Z
LAST-MODIFIED:20220904T232534Z
UID:3771-1666656000-1666915199@australiandatascience.net
SUMMARY:ATSE ACTIVATE 2022
DESCRIPTION:ACTIVATE 2022 will bring together 500 high-level representatives from across government\, business and academia and feature keynote conversations between global and national future shapers\, prominent technology entrepreneurs\, industry leaders and researchers who will share their vision for a technology powered\, human driven future for all Australians.
URL:https://australiandatascience.net/event/atse-activate-2022/
LOCATION:Sydney\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20221024T090000
DTEND;TZID=Australia/Brisbane:20221025T120000
DTSTAMP:20220912T044613Z
CREATED:20220912T044450Z
LAST-MODIFIED:20220912T044613Z
UID:3807-1666602000-1666699200@australiandatascience.net
SUMMARY:Workshop on Statistical Deep Learning
DESCRIPTION:About: This workshop aims to bring together researchers in the region that are interested in topics at the interface of deep learning and statistics. It will be based around a set of talks\, and there will be time for discussion and networking between the talks. The workshop\, which is an in-person event\, is 1.5 days long\, and will finish at noon on the 25th October. Refreshments and lunch on the 24th October are provided. Space is limited; please let us know at azm@uow.edu.au if you register\, plans change\, and you need to cancel registration. \nRegistration: The workshop is free of charge but registration is required. Please REGISTER HERE. You will need a Google account to register (preferred method of registration); if you don’t have one please e-mail your details and dietary requirements directly to azm@uow.edu.au. Registrations close on 30th September 2022 or when the workshop fills up (whichever is earlier). \nA list of speakers can be found on the workshop website.
URL:https://australiandatascience.net/event/workshop-on-statistical-deep-learning/
LOCATION:Sydney\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20221021T120000
DTEND;TZID=Australia/Brisbane:20221021T130000
DTSTAMP:20221019T001125Z
CREATED:20221019T001125Z
LAST-MODIFIED:20221019T001125Z
UID:3984-1666353600-1666357200@australiandatascience.net
SUMMARY:Data Science in the News: Cybersecurity & Cyber Attacks
DESCRIPTION:Please join the QUT Centre for Data Science for its next Data Science in the News webinar! \nMillions of Australians have had their personal information exposed as a result of the recent cyber attack on Optus which is one of the largest data breaches of it’s kind. It is also Cybersecurity Awareness Month so our panel will explore cybersecurity in our next session. You will hear from: \n\nProfessor Asha Rao – Associate Dean (Mathematical Sciences)\, School of Science\, RMIT University\nProfessor Raja Jurdak – Professor of Distributed Systems & Chair in Applied Data Sciences\, QUT\nProfessor Matthew Roughan – Acting Director\, Teletraffic Research Centre\, University of Adelaide\n\nThe discussion will be moderated by QUT Computer Sciences Professor David Lovell. \nREGISTER: https://www.eventbrite.com.au/e/data-science-in-the-news-cybersecurity-and-cyber-attacks-tickets-440643094357
URL:https://australiandatascience.net/event/data-science-in-the-news-cybersecurity-cyber-attacks/
LOCATION:Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220927
DTEND;VALUE=DATE:20221001
DTSTAMP:20220805T054202Z
CREATED:20220805T054104Z
LAST-MODIFIED:20220805T054202Z
UID:3564-1664236800-1664582399@australiandatascience.net
SUMMARY:Indigenizing University Mathematics 2
DESCRIPTION:“Indigenizing University Mathematics 2: Indigenous Perspectives on Maths and Applications” will run online with some face-to-face components\, hosted by First Nations University 26-29 Sept 2022 Canadian dates.  This will be 27-30 Sept in Australia\, mostly in the mornings\, with some possible face to face components in Newcastle.  The workshop will build upon IUM1\, information about which is available on the carmamaths.org website. Registration will soon be available for IUM2 – follow the links from https://carmamaths.org/events/.
URL:https://australiandatascience.net/event/indigenizing-university-mathematics-2/
LOCATION:Zoom
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220921T120000
DTEND;TZID=Australia/Brisbane:20220921T140000
DTSTAMP:20220904T224827Z
CREATED:20220904T224827Z
LAST-MODIFIED:20220904T224827Z
UID:3761-1663761600-1663768800@australiandatascience.net
SUMMARY:Should I Learn R?
DESCRIPTION:This brief introduction is designed to just get you up and running using R in RStudio to see if this is the package for you. The workshop will cover installing R\, importing data\, doing simple summary statistics\, and producing a simple plot. The Data and Decision Science Initiative at the University of Wollongong is putting on this workshop.
URL:https://australiandatascience.net/event/should-i-learn-r/
LOCATION:Victoria
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220920
DTEND;VALUE=DATE:20220923
DTSTAMP:20220811T013641Z
CREATED:20220811T013228Z
LAST-MODIFIED:20220811T013641Z
UID:3608-1663632000-1663891199@australiandatascience.net
SUMMARY:Data-driven Queueing Challenges (DDQC II): Management of Service Systems
DESCRIPTION:The second multi-continent workshop will be held over 20-22 September 2022 on the subject of the Management of Service Systems. Previously\, in September 2021 we held an online workshop on Data-driven Queueing Challenges\, comprising 18 talks across multiple time zones with 300 registrants from 25 countries. \nThe objective of this workshop is to highlight and discuss contemporary approaches to the management of service systems\, with a focus on data collection\, methodological insights\, and analysis of decision making. \nThe workshop is designed to appeal to researchers with backgrounds in statistics\, stochastic modelling\, data science and control to discuss challenges in stochastic operations research and operations management. Workshop sessions will span international time zones to be accessible to multiple audiences.
URL:https://australiandatascience.net/event/data-driven-queueing-challenges-ddqc-ii-management-of-service-systems/
LOCATION:Victoria
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220914T130000
DTEND;TZID=Australia/Brisbane:20220914T153000
DTSTAMP:20220808T030713Z
CREATED:20220808T030713Z
LAST-MODIFIED:20220808T030713Z
UID:3567-1663160400-1663169400@australiandatascience.net
SUMMARY:ARDC Leadership Series: Closing the Digital Research Skills Gap
DESCRIPTION:Change in the skills space has always been fast paced but never more so than now and with such specificity to the research workforce. Within research\, there is an imperative to explore cutting-edge innovation\, employ new methods and technologies and forge new skills in the process. \nAs the criticality of digital research skills emerges there is at the same time acknowledgment that the research sector along with its industry counterparts is tackling a significant and growing skills gap. \nThis need must now be matched with action. At the session\, we’ll explore: \n\nDrivers for digital research skills\nBarriers for students and researchers to upskill\nSkills gap and its challenges\nDifferentiator between education and training\n\nThe conversation will be facilitated by Dr. Sue Barrell AO FTSE\, joined by an exciting panel of leading thinkers: \n\nProf Paul Bonnington\, Director\, Monash eResearch Centre\, Monash University\nDr Simone Richter\, Director Science Digital Transformation\, CSIRO\nAssociate Prof Linda Beaumont\, Chair of the EcoCommons Scientific Advisory Committee\, Macquarie University\nMs Ann Backhaus\, Education & Training Manager\, Pawsey Supercomputing Centre\nMs Bernadette Kelly\, Director\, National Research Infrastructure Policy\, Australian Government Department of Education\n\nWe look forward to a thought-provoking conversation with you!
URL:https://australiandatascience.net/event/ardc-leadership-series-closing-the-digital-research-skills-gap/
LOCATION:Victoria
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220909T120000
DTEND;TZID=Australia/Brisbane:20220909T130000
DTSTAMP:20220904T231939Z
CREATED:20220904T231731Z
LAST-MODIFIED:20220904T231939Z
UID:3766-1662724800-1662728400@australiandatascience.net
SUMMARY:ADSN Workshop with ARDC
DESCRIPTION:The Australian Data Science Network is pleased to welcome the Australian Data Research Commons (ARDC) for an online discussion to explore opportunities on how the ADSN and its organisations might work together with the ARDC. \nWe will be joined by Ian Duncan\, the ARDC’s Director of Outreach. He will give us a brief overview of the ARDC for those of us who aren’t familiar with it and then discuss some of the key initiatives the ARDC is working on in the Data Science space. We will then open it up to you for your questions. \n\nWhat does the ARDC mean when it talks about ‘research infrastructure’?\nHow can the ARDC help the ADSN?\nHow can the ARDC help individual organisations doing Data Science?\nWhat opportunities are there to collaborate?\nAre there ways ADSN Partners can help the ARDC?\n\nThe zoom link to join is: https://qut.zoom.us/j/86114504286?pwd=M0NmT2lUUFZLWHNSeFR6bU9IQ3NkUT09 \nThe passcode (if asked) is 814902
URL:https://australiandatascience.net/event/adsn-workshop-with-ardc/
LOCATION:Victoria
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220902T120000
DTEND;TZID=Australia/Brisbane:20220902T130000
DTSTAMP:20220901T002035Z
CREATED:20220901T002035Z
LAST-MODIFIED:20220901T002035Z
UID:3739-1662120000-1662123600@australiandatascience.net
SUMMARY:Inflation & the Australian Economy
DESCRIPTION:Explore the Australian Economy in the next “Data Science in the News” from the QUT Centre for Data Science. \n\n\n\n\n\nIn this session\, the panel will explore economic issues that impact all of us including inflation\, housing\, jobs interest rates and more through the lens of data science. \nYou will hear from: \n\nCatherine Smyth – Acting Director\, Consumer Price Index\, Australian Bureau of Statistics\nProfessor Adam Clements – School of Economics and Finance\, QUT\nAssociate Professor Connie Susilawati – School of Economics and Finance\, QUT\nDr Katherine Uylangco – School of Economics and Finance\, QUT\n\nThe discussion will be moderated by Distinguished Professor Kerrie Mengersen.
URL:https://australiandatascience.net/event/inflation-the-australian-economy/
LOCATION:Victoria
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220830T174500
DTEND;TZID=Australia/Brisbane:20220830T184500
DTSTAMP:20220816T224603Z
CREATED:20220816T224603Z
LAST-MODIFIED:20220816T224603Z
UID:3668-1661881500-1661885100@australiandatascience.net
SUMMARY:The initial impact of the COVID-19\, social distancing and movement restrictions on crime in NSW\, Australia.
DESCRIPTION:The Canberra Branch of the Statistical Society of Australia invites you to its August branch meeting\, featuring an online talk by Dr Joanna Wang from the University of Technology Sydney. \nAbstract: The spread of COVID-19 has prompted Governments around the world to impose draconian restrictions on business activity\, public transport\, and public freedom of movement. The effect of these restrictions appears to vary from country to country and\, in some cases\, from one area to another within a country. This study examines the initial impact of the COVID-19 restrictions imposed in New South Wales by the State Government. We examine week-to-week changes in 13 categories of crime (and four aggregated categories) from 2 January 2017 to 28 June 2020. An interrupted time series approach with ARIMA specification was used to model the entire time series. Our results are broadly in accord with those of other studies\, but we find no effect of the lockdown on domestic assault. \n 
URL:https://australiandatascience.net/event/the-initial-impact-of-the-covid-19-social-distancing-and-movement-restrictions-on-crime-in-nsw-australia/
LOCATION:Victoria
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220829T160000
DTEND;TZID=Australia/Brisbane:20220829T170000
DTSTAMP:20220811T003852Z
CREATED:20220811T003852Z
LAST-MODIFIED:20220811T003852Z
UID:3606-1661788800-1661792400@australiandatascience.net
SUMMARY:Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology
DESCRIPTION:This is presented by the Bayesian Section of the Statistical Society of Australia \nGuest speaker: Dr Marina Riabiz\, King’s College\, London \nAbstract: \nCalcium is the end-point intracellular signal driving cardiac myocyte contraction\, and its dynamic is described through coupled ordinary differential equations (ODEs). Markov Chain Monte Carlo (MCMC) can be used to characterize the posterior distribution of the parameters of the cardiac ODEs\, which can then serve as an experimental design for multi-scale models of the whole hearth. However\, MCMC suffers from poor mixing in high-dimensional settings\, so post-processing of the MCMC output is required. Existing heuristics to assess the convergence and compress the MCMC output can produce sub-optimal empirical approximations\, that suffer from bias-variance trade-offs if the length of the MCMC output is fixed. In this talk\, I will present a novel method that retrospectively selects a subset of states\, of fixed cardinality\, from the sample path\, such that the approximation provided by their empirical distribution is close to optimal. This is based on greedy minimisation of a kernel Stein discrepancy\, and it is suitable when the gradient of the log-target can be evaluated and an approximation using a small number of states is required. Theoretical results guarantee consistency of the method and I will demonstrate its effectiveness in the cardiac electrophysiology problem at hand\, together with interesting biological findings.
URL:https://australiandatascience.net/event/kernel-stein-discrepancy-minimization-for-mcmc-thinning-in-cardiac-electrophysiology/
LOCATION:Victoria
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220824T180000
DTEND;TZID=Australia/Brisbane:20220824T193000
DTSTAMP:20220811T003509Z
CREATED:20220811T003509Z
LAST-MODIFIED:20220811T003509Z
UID:3603-1661364000-1661369400@australiandatascience.net
SUMMARY:The design and analysis of a two-phase experiments involving human subjects
DESCRIPTION:This is a meeting of the South Australian Branch of the Statistical Society of Australia. \nGuest presenter: Chris Brien\, Adjunct Associate Professor\, UniSA STEM\, The University of South Australia; Senior Biostatistician\, The Australian Plant Phenomics Facility\, University of Adelaide \nTwo-phase experiments were introduced in 1952 by the Australian statistician George McIntyre. Their use has been most prevalent in agriculture experiments\, especially plant breeding experiments. However\, there is the potential for their application to be much more widespread. This potential is not being realized because of a lack of awareness of multiphase experiments within the statistical community.
URL:https://australiandatascience.net/event/the-design-and-analysis-of-a-two-phase-experiments-involving-human-subjects/
LOCATION:Victoria
CATEGORIES:Event
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220819T120000
DTEND;TZID=Australia/Brisbane:20220819T130000
DTSTAMP:20220805T052254Z
CREATED:20220805T052254Z
LAST-MODIFIED:20220805T052254Z
UID:3554-1660910400-1660914000@australiandatascience.net
SUMMARY:ADSN Workshop: Australia's Data-enabled Research Future
DESCRIPTION:This workshop will explore the just-released reports from the ARDC\, the Australian Council of Learned Academies (ACOLA) and the five Learned Academies to help build a more coherent data policy and uplift our national data capabilities for researchers. \n\nCLICK HERE FOR ZOOM LINK\nIf asked\, passcode is 038636\n\nQUT Centre for Data Science Director Kerrie Mengersen will moderate the discussion. Our guests for the workshop are: \n\nShannon Callaghan\, Senior Policy Advisor for the ADRC. Shannon was the program manager for the whole set of projects at each of the Academies and ACOLA\nIsabel Ceron\, Senior Policy Analyst for the Academy of Social Sciences of Australia\nProf Louisa Jorm\, Foundation Director of the Centre for Big Data Research in Health at UNSW Sydney. Prof Jorm chaired the Steering Committee for the report from the Australian Academy of Health and Medical Sciences\nProf Lesley Wyborn\, Australian National University. Prof Wyborn is Chair of the Data in Science Committee for the Australian Academy of Science
URL:https://australiandatascience.net/event/adsn-workshop-australias-data-enabled-research-future/
LOCATION:Victoria
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
END:VCALENDAR