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X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
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DTSTART:20220101T000000
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DTSTART;TZID=Australia/Brisbane:20230803T160000
DTEND;TZID=Australia/Brisbane:20230803T170000
DTSTAMP:20260521T070515
CREATED:20230727T234849Z
LAST-MODIFIED:20230727T234952Z
UID:4882-1691078400-1691082000@australiandatascience.net
SUMMARY:Doing an Ultrasound Scan of the Sun with AI
DESCRIPTION:This lecture is part of the Monash Conversations on AI and Data Science series\, which focuses on the impactful AI/data science research being done by Monash University researchers. The series is run by the Monash Data Futures Institute. \nSpeaker: Dr Alina Donea\, School of Mathematics\, Monash University \nAbstract \nIn the scenario of a strong solar coronal mass ejection\, we would only receive a mere 30-minute warning before an immense solar event\, which could have devastating consequences for our satellite technology and society. Regrettably\, this limited timeframe does not allow for the activation of emergency protocols or the implementation of practical measures. \nTo enhance our preparedness and minimize the potential impact\, it is imperative to strive for significantly longer warning periods. It is essential that we lend our ears to the Sun’s messages. In this session\, Dr Alina Donea will demonstrate the utilization of solar images (generated by AI and a deep neural network\, referring to conditional Generative Adversarial Network (sGAN)) to enhance predictions of solar activity from the side of the Sun that is not visible\, leading to significant advancements in space weather forecasting. \nREGISTER: https://www.eventbrite.com.au/e/doing-an-ultrasound-scan-of-the-sun-with-ai-tickets-681265502457
URL:https://australiandatascience.net/event/doing-an-ultrasound-scan-of-the-sun-with-ai/
LOCATION:Monash University\, 27 Chancellors Walk\, Clayton\, Victoria\, 3168\, Australia
CATEGORIES:Event,Seminar
ORGANIZER;CN="Monash Data Futures Institute":MAILTO:datafutures@monash.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230805T000000
DTEND;TZID=Australia/Brisbane:20230806T000000
DTSTAMP:20260521T070515
CREATED:20230724T034025Z
LAST-MODIFIED:20230724T034519Z
UID:4856-1691193600-1691280000@australiandatascience.net
SUMMARY:Machine Learning with Python
DESCRIPTION:Presenter: Patrick Robotham\, Head of Data Science at Magic. \nThis two day workshop aims to enable data scientists to incrementally incorporate Python in their workflow. After an introduction of Python basics\, the workshop focuses on developing Python models in a workflow framework that is most commonly seen in a production environment. Participants will benefit from a gentle introduction to Python on the first day before learning some powerful modelling concepts and tools on the second day. \nRegister via: https://statsoc.org.au/event-5330392
URL:https://australiandatascience.net/event/machine-learning-with-python/
LOCATION:Online
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230816T113000
DTEND;TZID=Australia/Brisbane:20230816T130000
DTSTAMP:20260521T070515
CREATED:20230724T032541Z
LAST-MODIFIED:20230724T032541Z
UID:4854-1692185400-1692190800@australiandatascience.net
SUMMARY:University of Wollongong 2023 Data Science & Statistics Lecture: Professor Antonietta Mira
DESCRIPTION:The School of Mathematics and Applied Statistics (SMAS) at the University of Wollongong is hosting the 2023 Data Science and Statistics (DSS) Lecture \nLecturer: Antonietta Mira  \n\nProfessor of Statistics and Director of the Data Science Lab\, Università della Svizzera Italiana\, Lugano\, Switzerland\nProfessor of Statistics\, Insubria University\, Como\, Italy\n\nTitle: Data science for public health: Risk mapping of Out of Hospital Cardiac Arrest and the optimal deployment of defibrillators \n(Further details about this and past DSS Lectures can be found at https://uow.info/smas-ssl) \nDate: Wednesday\, 16 August 2023 \nTime: 11:30am in-person-only lecture\, with refreshments to follow\nVenue: Building 6\, Room 210\, University of Wollongong \nAbstract: Out of Hospital Cardiac Arrest (OHCA) is a major public-health problem that affects approximately 1:1000 people in developed countries. This lecture describes my collaborative peer-reviewed research with cardiologists in Switzerland since 2018\, to map and forecast OHCA risk\, and to use this to optimise Automatic External Defibrillator (AED) deployment in Canton Ticino\, Switzerland. Flexible location models were found to increase overall OHCA coverage and decrease the distance to nearby AEDs\, so saving lives and at the same time reducing public-health expenditure. For every minute lost in response time\, the AED success rate decreases by 7-10%. Geospatial models of OHCA and AED accessibility with uncertainty quantified\, were used to identify communities with the greatest gap between demand and supply for allocating AEDs\, which were then used to evaluate models for precise AED-location deployment. These were further used to evaluate strategies for deployment of Lay First Responders (LFRs) in relation to the OHCA and AED locations. A Bayesian spatio-temporal model with a dynamic temporal component was used to predict future OHCAs. Model-based risk maps adjusted for demographic covariates were used to explain and forecast the spatial distribution of OHCAs in Canton Ticino. The lecture will conclude with new work on using neural networks in the Bayesian spatio-temporal model\, which allows current and future detection of high-risk areas of OHCA with uncertainty quantified. \nThe lecture and refreshments that follow are open to all. For space availability and catering purposes\, please click here to register \nAntonietta has a strong commitment to STEM in Switzerland and Italy. She has won awards for excellence in both research and teaching. She has been involved in public engagement (such as EXPO Milano 2015) and has delivered public lectures (such as Festival of the Swiss Academy of Sciences 200 Year Anniversary). She is often interviewed in the media on topics related to Data Science and Big Data\, and she has created an exhibit\, Numbed by Numbers!\, which is a 3D tour between Digits (maths)\, Dice (probability)\, and Data (stats)\, aimed at children aged from 6 – 18. Antonietta is also winner of the 2022 G. Dosi national prize for popularising science for STEM students\, with publication of her book\, The Data Pandemic. Here is the Vaccine (2020\, Mondadori). In her free time\, she is a practicing magician with a special interest in mathematical magic\, which is presented in her book\, Matemagica (2012\, Aboca).
URL:https://australiandatascience.net/event/uow-data-science-stats-lecture/
LOCATION:University of Wollongong\, Northfields Ave\, Wollongong\, NSW\, 2522\, Australia
CATEGORIES:Event,Seminar
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BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230827T153000
DTEND;TZID=Australia/Brisbane:20230827T170000
DTSTAMP:20260521T070515
CREATED:20230809T030206Z
LAST-MODIFIED:20230809T030342Z
UID:4894-1693150200-1693155600@australiandatascience.net
SUMMARY:National Science Quiz
DESCRIPTION:The ADSN is proud to help support the National Science Quiz!\nEver since it was established in 2016\, the National Science Quiz aims to celebrate science and inspire the next generation of Aussie scientists. \nHosted by Charlie Pickering\, two teams of Australiaʼs leading scientific minds will battle it out… the winning team leaving victorious and the losing team slimed live-on-stage! \nIn the audience and around the country\, thousands join in to play along with the quiz and compete for cash prizes\, trophies and the honour of calling themselves National Science Quiz Champions! \n\nSunday\, 27 August at 3:30 pm AEST\nIn person: The Capitol\, Melbourne – BOOK TICKETS\nOnline: Streaming on YouTube – REGISTER\n\nPRIZES! \n\nSchool Teams Prize (Grades 7-12) – $1\,000\nLive Audience Prize – $500\nOnline Prize – $250\n\nJoin up. Compete. Win! \n  \n 
URL:https://australiandatascience.net/event/national-science-quiz/
LOCATION:Melbourne or Online\, Australia
CATEGORIES:Event
ORGANIZER;CN="Australian Data Science Network":MAILTO:info@australiandatascience.net
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