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X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
TZOFFSETTO:+1000
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DTSTART:20220101T000000
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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: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;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: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;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: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;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: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: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
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