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X-WR-CALNAME:Australian Data Science
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
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TZID:Australia/Brisbane
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TZOFFSETFROM:+1000
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DTSTART:20210101T000000
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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/
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/
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/
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/
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/
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/
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/
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/
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/
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/
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/
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/
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220630T180000
DTEND;TZID=Australia/Brisbane:20220630T193000
DTSTAMP:20220617T064716Z
CREATED:20220617T064716Z
LAST-MODIFIED:20220617T064716Z
UID:3405-1656612000-1656617400@australiandatascience.net
SUMMARY:AMSI Winter School Public Lecture: Professor Geordie Williamson
DESCRIPTION:AMSI Winter School Public Lecture: Professor Geordie Williamson\nHear from Professor Geordie Williamson (The University of Sydney) as he explores how machine learning can help with the intuitive aspects of mathematical research. Attend in-person at The University of Queensland or watch it live online. \nWhen: Thursday 30 June \nTime: lecture from 6:00pm – 7:30pm AEST (Refreshments available from 5.00pm) \nWhere: Room 206\, Steele Building (3)\, The University of Queensland\, St Lucia campus\nRefreshments to be served in the Atrium\, Global Change Institute (GCI) Building (next to the Steele Building) \nOnline: Zoom link will be distributed to all registered attendees participating remotely 48 hours prior to the event
URL:https://australiandatascience.net/event/amsi-winter-school-public-lecture-professor-geordie-williamson/
LOCATION:University of Queensland\, The University of Queensland\, St Lucia\, QLD\, Australia
CATEGORIES:Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220609T090000
DTEND;TZID=Australia/Brisbane:20220609T180000
DTSTAMP:20220523T032628Z
CREATED:20220523T032536Z
LAST-MODIFIED:20220523T032628Z
UID:3330-1654765200-1654797600@australiandatascience.net
SUMMARY:AI for Good Showcase - Monash Data Futures Institute
DESCRIPTION:AI for Good Showcase\nThe Monash AI for Good Showcase will present Monash University’s latest interdisciplinary research in AI and data science for social good.\n\n\n\n\n\nAbout this event\n\n\nBuilding upon Monash University’s long history of excellence in Artificial Intelligence (AI) and data science research that leads to practical solutions at scale\, and with immediacy to current and future global challenges\, we are proud to announce the Monash Data Futures Institute AI for Good Showcase 2022. \nThe showcase will feature major projects\, including our collaborations with industry\, government and not-for-profit partners\, that reflect Monash University’s expertise in advancing AI and data science to tackle problems of critical importance to human well-being and preservation of the global environment. \nWhat to expect \nWhether you are an academic researcher looking to collaborate\, or an industry/ government/ not-for-profit organisation seeking expertise in addressing real-world challenges\, the showcase will provide a platform to explore further opportunities to connect with Monash University’s thought-leaders in AI for Social Good. \nWe are delighted to host\, as Keynote Speakers\, Dr Helen Frazer\, Clinical Director of St Vincent’s Hospital BreastScreen\, and the winner of the Women in AI Innovator of the Year Award 2022\, and Dr Alex Fischer\, Lead Analyst at Paul Ramsay Foundation. \nThe event will include talks and poster presentations showcasing the impact of Monash AI Research and highlighting the benefits and challenges of cross-sector interdisciplinary research to advance AI applications for social good. Interactive discussions and networking sessions will enable us to explore research challenges\, form new collaborations and envisage solutions. \nKeynote Speakers \nDr Alex Fischer\, Lead Analyst\, Paul Ramsay Foundation \nDr Helen Frazer\, Clinical Director\, St Vincent’s Hospital BreastScreen \nSpeakers \nProf Rebekah Brown\, Deputy Vice-Chancellor (Research) and Senior Vice-President\, Monash University \nProf Joanna Batstone\, Director\, Monash Data Futures Institute \nProf Geoff Webb\, Research Director\, Monash Data Futures Institute \nmore to come… \nProgram outline \n9.00am Guests arrive \n9.30am Welcome and Introduction \n10.00am OPENING KEYNOTE PRESENTATION \n10.30am Coffee Break \n10.45am Interdisciplinary AI for Good Research \n12.30- 1.40pm Poster Presentations and Networking Lunch \n1.45pm Interdisciplinary AI for Good Research \n3.25pm Coffee Break \n3.40 CLOSING KEYNOTE PRESENTATION \n4.20pm Closing Remarks \n4.30-6.00pm Poster Presentations. Networking Drinks and Nibbles. \n6.00pm Close
URL:https://australiandatascience.net/event/ai-for-good-showcase-monash-data-futures-institute/
LOCATION:Monash University\, 27 Chancellors Walk\, Clayton\, Victoria\, 3168\, Australia
CATEGORIES:Event
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220608T100000
DTEND;TZID=Australia/Brisbane:20220608T104500
DTSTAMP:20220531T054457Z
CREATED:20220414T035839Z
LAST-MODIFIED:20220531T054457Z
UID:3179-1654682400-1654685100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #23: Caroline Colijn\, Simon Fraser University
DESCRIPTION:AI4Pandemics Talk #23: Caroline Colijn\, Simon Fraser University\nWelcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel. \n\nSpeaker: Caroline Colijn\, Simon Fraser University\nTitle: Genomic Epidemiology in SARS-CoV-2: new tools and challenges\nAbstract: Scientists around the world have sequenced over 2 million SARS-CoV-2 genomes in an effort to monitor and understand the evolution and transmission of this virus.
URL:https://australiandatascience.net/event/ai4pandemics-talk-23-caroline-colijn-simon-fraser-university/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220602T120000
DTEND;TZID=Australia/Brisbane:20220602T130000
DTSTAMP:20220523T031909Z
CREATED:20220523T031747Z
LAST-MODIFIED:20220523T031909Z
UID:3327-1654171200-1654174800@australiandatascience.net
SUMMARY:Data Ethics Workshop Series
DESCRIPTION:Data Ethics Workshop Series\nThe Australian Data Science Network is proud to present a series of workshops on Data Ethics. \nThe aim of this series is to share open questions\, spark discussion\, and facilitate collaborations. The workshops will be led by Professor Rachel Thomas\, co-founder of Fast.ai and Professor of Practice at the QUT Centre for Data Science. In each workshop\, we hear a series of lightning talks from our guest speakers followed by a discussion with all participants. \n\n\n\n\n\n\n\n\n\n\n\n\n\nJoin us for next Data Ethics Workshop!\nOur guest speakers are: \n\nLachlan McCalman\, Gradient Institute\, “Ethical AI Governance Gaps in Finance”\nThao Phan\, Monash University\, “Economies of Virtue: The Circulation of ‘Ethics’ in Big Tech”\nJake Goldenfein\, University of Melbourne\, “Law’s consumers vs platforms users: competing imaginations of the human in platform ecosystems”\nSamantha Floreani\, Digital Rights Watch\, “Human Rights in the Digital Age”\n\nREGISTER FOR YOUR FREE ZOOM LINK \nAt time of workshop: CLICK HERE FOR YOUR ZOOM LINK \nView the videos from Workshops #1 & #2
URL:https://australiandatascience.net/event/data-ethics-workshop-series/
CATEGORIES:Event,Workshop
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220525T100000
DTEND;TZID=Australia/Brisbane:20220525T104500
DTSTAMP:20220414T035619Z
CREATED:20220414T035619Z
LAST-MODIFIED:20220414T035619Z
UID:3177-1653472800-1653475500@australiandatascience.net
SUMMARY:AI4Pandemics Talk #22: Andres Colubri\, UMass Chan Medical School
DESCRIPTION:Welcome to the AI for Pandemic Seminars organized by the AI4PAN group centered at The University of Queensland. The fortnightly AI4PAN Seminars run via Zoom at 10am on Wednesday’s (AEST = Brisbane time zone). See also our YouTube Channel.\nSpeaker: Andres Colubri\, UMass Chan Medical School \nTitle: Operation Outbreak: an app-based platform for infectious disease education and research \nAbstract: Together with Harvard University Professor Pardis Sabeti and Dr. Todd Brown from The Inspire Project\, we have been working since 2015 on Operation Outbreak (OO). This project was originally motivated by the ever-present pandemic threat (at the time\, made apparent by the West African Ebola outbreak) and the challenge of educating students about it in more engaging ways. Only five years later\, COVID-19 reified epidemiologists’ predictions of a global pandemic caused by an emerging pathogen. As public health measures contributed to curbing the spread of COVID-19\, innovative educational programs on infectious diseases could also play a role in controlling this pandemic––and in preparing for or preempting the next one. OO started as a mock outbreak activity for middle schoolers using stickers to mimic pathogen transmission\, and eventually evolved to comprise three interconnected components: (1) an academic curriculum and textbook on pathogen biology\, epidemiology\, public health\, political decision-making\, and science communication during health emergencies; (2) an outbreak simulation experiential learning activity that synthesizes curricular content with a Bluetooth-enabled smartphone app; and (3) a multi-user dashboard that visualizes data generated during the outbreak simulation for informed reflection and skill development in epidemiology and quantitative data analysis. Facilitated by the smartphone app\, the outbreak simulation spreads a virtual pathogen across participants’ phones via Bluetooth. Additionally\, the simulation incorporates a series of role-playing activities for the students (e.g.\, governance\, research\, healthcare)\, taking place during the simulated outbreak and mirroring a real-world epidemic. The current OO app supports Bluetooth beacons and QR codes that simulate infectious sources and protective items (e.g.\, face masks and hazmat suits) and interventions such as testing and vaccinations\, and we have been making substantial progress last year in the development of the app technology and conducting several large-scale pilots in middle and high schools\, as well as colleges. Currently\, my lab in the Program of Bioinformatics and Integrative Biology at the University of Massachusetts Medical School is focused not only on developing the technology behind OO\, but also using OO as a “real-life” simulator that could help create and validate epidemiological models to better respond to future outbreaks.
URL:https://australiandatascience.net/event/ai4pandemics-talk-22-andres-colubri-umass-chan-medical-school/
ORGANIZER;CN="Roxanne Jemison":MAILTO:roxanne.jemison@uq.edu.au
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220513T120000
DTEND;TZID=Australia/Brisbane:20220513T130000
DTSTAMP:20220516T001031Z
CREATED:20220504T001107Z
LAST-MODIFIED:20220516T001031Z
UID:3236-1652443200-1652446800@australiandatascience.net
SUMMARY:ADSN Series: Advancing Data-Intensive Research in Australia
DESCRIPTION:This ADSN series will explore the report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’\n\n\n\n\n\nAbout this event\n\n\nThis was the first of a six-part monthly webinar series from the Australian Data Science Network. This series will focus on the October 2021 Report released by the Australian Academy of Science on ‘Advancing data-intensive research in Australia’. \n \nIn this webinar\, we focused on some of the high-level findings of the report and discuss the relevance for ADSN member organisations. Our guest speakers were: \n\nProfessor Jane Elith – Report Co-Author\nEmeritus Professor Michael Barber – Report Co-Author\n\nQUT Distinguished Professor Kerrie Mengersen will moderate the panel discussion. \nOur next meeting in the series:\n \nEmail info@australiandatascience.net if you’re interested in attending this workshop.
URL:https://australiandatascience.net/event/science-academy-data-report-series/
CATEGORIES:Event,Webinar
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
END:VEVENT
END:VCALENDAR