BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Australian Data Science - ECPv6.16.5//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Australian Data Science X-ORIGINAL-URL:https://australiandatascience.net X-WR-CALDESC:Events for Australian Data Science REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Australia/Brisbane BEGIN:STANDARD TZOFFSETFROM:+1000 TZOFFSETTO:+1000 TZNAME:AEST DTSTART:20210101T000000 END:STANDARD END:VTIMEZONE 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;TZID=Australia/Brisbane:20221215T180000 DTEND;TZID=Australia/Brisbane:20221215T193000 DTSTAMP:20221129T000833Z 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: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;TZID=Australia/Brisbane:20221026T080000 DTEND;TZID=Australia/Brisbane:20221026T170000 DTSTAMP:20221003T233051Z CREATED:20221003T233051Z LAST-MODIFIED:20221003T233051Z UID:3907-1666771200-1666803600@australiandatascience.net SUMMARY:ARDC Leadership Series: Industry & Research Sector Forum DESCRIPTION:The ARDC leadership series provides leaders\, influencers and decision makers in academia\, government and industry with an opportunity to work through big data challenges affecting researchers in Australia. At the third forum in the series\, we will discuss how both research and industry can benefit from increased collaboration around data to deliver greater societal and economic value. The forum will feature an array of high profile speakers and explore challenges and opportunities in improving research translation and the role data as a key research output can play in this space. \nREGISTER: https://www.eventbrite.com.au/e/ardc-leadership-series-industry-and-research-sector-forum-registration-420104623237 URL:https://australiandatascience.net/event/ardc-leadership-series-industry-research-sector-forum/ LOCATION:Melbourne or Virtual 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;TZID=Australia/Brisbane:20221012T100000 DTEND;TZID=Australia/Brisbane:20221012T160000 DTSTAMP:20220810T024222Z CREATED:20220810T022028Z LAST-MODIFIED:20220810T024222Z UID:3595-1665568800-1665590400@australiandatascience.net SUMMARY:DIY R Package Online Workshop DESCRIPTION:Do you have a few custom functions on heavy rotation? Perhaps you have a piece of code that you regularly share with colleagues? Maybe you’ve developed a new statistical model and want to share it with the world? Why not put it all in an R package?! This interactive workshop will equip you with the basic skills to create an R package of your own! We will walk through the package building process and apply the same workflow to your own function. We will learn about testing and continuous integration and implement them using Github Actions. \nParticipants will need to bring along one function they would like to put in a package. \n Prior to the workshop participants will need to have \n\na Github account;\nthe most recent version of R and RStudio installed;\nthe following package(s) and their dependencies installed: devtools\, testthat\, knitr. \n\n  \nAbout the Presenter:\n \nDr Fonti Kar is a postdoctoral research fellow at University of New South Wales\, Sydney\, Australia. She is an evolutionary biologist wearing R developer shoes. Fonti works alongside researchers to develop R software tools for the research community. Her interests include biostatistics\, reproducible science\, learning about the latest coding practices and teaching others to enjoy using R. \nRegister now! URL:https://australiandatascience.net/event/diy-r-package-online-workshop/ LOCATION:Zoom 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:NSW 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:NSW 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:NSW 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:NSW 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:NSW 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:NSW CATEGORIES:Event ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au END:VEVENT BEGIN:VEVENT DTSTART;TZID=Australia/Brisbane:20220830T103000 DTEND;TZID=Australia/Brisbane:20220830T113000 DTSTAMP:20220815T064440Z CREATED:20220815T063732Z LAST-MODIFIED:20220815T064440Z UID:3653-1661855400-1661859000@australiandatascience.net SUMMARY:Webinar: Measuring Sex\, Gender Identity\, and Sexual Orientation DESCRIPTION:The Statistical Society is pleased to announce the following event: \nMeasuring Sex\, Gender Identity\, and Sexual Orientation \n30 August 2022\, 10:30 AM\, AEST\, held online via Zoom. \nWe are pleased to present a panel consisting of US researchers who are members of the Committee on Measuring Sex\, Gender Identity\, and Sexual Orientation\, and who conducted a study to examine the measurement of sex\, gender identity\, and sexual orientation. The research was undertaken to be able to make recommendations for specific measures that can be used in surveys and research\, administrative\, and clinical and other health settings. It was captured in the report Measuring Sex\, Gender Identity\, and Sexual Orientation. \nFind out more about the report and the panel members here. \nThe event is free\, but you will need to register to receive the Zoom link. URL:https://australiandatascience.net/event/webinar-measuring-sex-gender-identity-and-sexual-orientation/ LOCATION:Zoom 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:NSW 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:NSW 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:NSW CATEGORIES:Event ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net END:VEVENT BEGIN:VEVENT DTSTART;TZID=Australia/Brisbane:20220818T130000 DTEND;TZID=Australia/Brisbane:20220818T140000 DTSTAMP:20220811T001906Z CREATED:20220811T001906Z LAST-MODIFIED:20220811T001906Z UID:3599-1660827600-1660831200@australiandatascience.net SUMMARY:Stats Society: Meet our Early Career & Student Statistician Reps DESCRIPTION:Please join the Statistical Society of Australia’s Early Career and Student Statistician Network (ECSSN) representatives at this virtual welcome event and learn how we can connect with each other. We are joining forces with our neighbours and friends from the New Zealand Statistical Association ECSSN to organise a Webinar Series starting in September that will lead to a mini-conference in November. \nRegister: https://statsoc.org.au/event-4920229 URL:https://australiandatascience.net/event/stats-society-meet-our-early-career-student-statistician-reps/ LOCATION:NSW CATEGORIES:Event ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au END:VEVENT BEGIN:VEVENT DTSTART;TZID=Australia/Brisbane:20220805T120000 DTEND;TZID=Australia/Brisbane:20220805T130000 DTSTAMP:20220805T052628Z CREATED:20220805T052628Z LAST-MODIFIED:20220805T052628Z UID:3556-1659700800-1659704400@australiandatascience.net SUMMARY:QUT Centre for Data Science Webinar DESCRIPTION:This “Data Science in the News” webinar from the QUT Centre for Data Science and the Queensland Academy of Arts and Sciences highlights key issues impacting the remote region of Central Western Queensland and the roles that the Queensland Academy of Arts and Sciences and data science\, can play in addressing these issues. \nIn this webinar you will hear from: \n\nProf. John McVeigh: Executive Director of the University of Southern Queensland’s Institute for Resilient Regions\nAssociate Prof. Ben Lyons (UniSQ): Director of The Rural Economies Centre of Excellence (RECoE)\nDavid Arnold: CEO of the Central Western Qld Remote Area Planning & Development Board (RAPAD)\nKristine Arnold: Operations & Innovation Manager at RAPAD\n\nEmeritus Professor Helen Chenery (QAAS) and Professor Roger Stone (UniSQ) moderated the discussion. URL:https://australiandatascience.net/event/qut-centre-for-data-science-webinar/ LOCATION:NSW CATEGORIES:Event END:VEVENT BEGIN:VEVENT DTSTART;TZID=Australia/Brisbane:20220708T120000 DTEND;TZID=Australia/Brisbane:20220708T130000 DTSTAMP:20220617T063818Z CREATED:20220617T063818Z LAST-MODIFIED:20220617T063818Z UID:3403-1657281600-1657285200@australiandatascience.net SUMMARY:ADSN Workshop #3: Data Science as a Discipline DESCRIPTION:This ADSN series will explore the report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’. \nIn October 2021\, the Australian Academy of Science released the report. It identifies opportunities to advance data-intensive research in Australia by aligning research policy\, research infrastructure\, skills and education\, and recognising data science as a distinct scientific discipline. \nThe report was funded by the Australian Research Council under the Learned Academies Special Projects scheme. \nAs a follow-up to the report\, the ADSN is holding a series of six workshops in 2022 for its members to explore the report and what it means for the ADSN and its member organisations. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWorkshop #3: Friday\, 8 July 2022\n\n\n\n\n\n\n\n\n\n\nJoin us for the third workshop in this series. In this one\, we will explore the recommendation that Data Science should be a scientific discipline in its own right. \nOur guest speakers are: \n\nDr Kate Devitt: Chief Scientist of Trusted Autonomous Systems Defence Cooperative Research Centre (TAS-DCRC)\nProf Sally Cripps: Research Program Director\, Analytics & Decision Sciences at CSIRO/Data 61\nProf Troy Farrell: Executive Dean\, Faculty of Science\, QUT\n\nCLICK HERE TO GET THE ZOOM LINK \nPasscode: 819053 \nFor more information about this series\, email info@australiandatascience.net URL:https://australiandatascience.net/event/adsn-workshop-3-data-science-as-a-discipline/ LOCATION:NSW CATEGORIES:Event,Online workshop ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net END:VEVENT END:VCALENDAR