BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australian Data Science Network - ECPv6.17.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Australian Data Science Network
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science Network
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:20220101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230502T160000
DTEND;TZID=Australia/Brisbane:20230502T180000
DTSTAMP:20230426T233131Z
CREATED:20230426T233131Z
LAST-MODIFIED:20230426T233131Z
UID:4721-1683043200-1683050400@australiandatascience.net
SUMMARY:DARE Seminar: How remote sensing and big data are changing our view of the coast
DESCRIPTION:Join the ARC DARE Centre for in-person seminar at UNSW\, followed by networking and nibbles! \nBig Data\, Big Dreams: How Remote Sensing and Big Data are Changing Our View of the Coast \nCoastal science and engineering is a relatively young field and historically has lacked sufficient data to be able to understand how this complex earth system works at both large temporal and spatial scales. Yet\, with a large portion of the world’s population living within 50km of the coastline\, we are being asked to provide advice and understanding on how coastlines will change into the future. \nThis talk will first provide a bit of context on just how data sparse our field is\, and how we are now engaging and rapidly trying to catch up to our hydrological colleagues. We will discuss how we are applying basic machine learning techniques to improve our ability to predict coastal change at a variety of timescales of interest to the public\, from individual storms\, to where the coast might be by 2100. \nThe talk will be aimed at a broadscale (non-expert) audience\, discussing the challenges associated with trying to model the coastline\, and the techniques we have so far applied\, and we’d love thoughts and ideas from the audience as well. \nSpeakers: Associate Professor Kristen Splinter and Patrick ‘Kit’ Calcraft \nKristen is an ARC Future Fellow and Deputy Director of the Water Research Laboratory at UNSW Sydney. Her work encompasses a wide range of coastal topics examining sandy beach evolution from storms to multiple decades. She has developed a number of behavioural type numerical models to predict sandbar and shoreline evolution and the focus of her Fellowship will be to develop regional scale models for long-term shoreline prediction\, along the embayed coastlines of NSW. She’s been dipping her toes into machine learning since about 2015 but her students are the real experts. \nKit is a DARE affiliated PhD candidate in his first year working on machine learning methods for shoreline prediction\, including bridging the gap between physics and ML. He is co-supervised by Associate Professor Kristen Splinter\, Dr Josh Simmons (DARE) and Professor Lucy Marshall. He will present an overview of what he’s been up to in year 1 of his PhD.
URL:https://australiandatascience.net/event/dare-seminar-how-remote-sensing-and-big-data-are-changing-our-view-of-the-coast/
LOCATION:UNSW School of Civil and Environmental Engineering\, Oval Lane\, Room 501\, Kensington\, NSW\, 2052\, Australia
CATEGORIES:Event,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230504T140000
DTEND;TZID=Australia/Brisbane:20230504T150000
DTSTAMP:20230427T003303Z
CREATED:20230427T003303Z
LAST-MODIFIED:20230427T003303Z
UID:4727-1683208800-1683212400@australiandatascience.net
SUMMARY:Getting to Know: The Australian Bureau of Statistics
DESCRIPTION:The Statistical Society of Australia’s Early Career and Student Statisticians Network (ECSSN) and the New Zealand Statistical Association (NZSA) present: Getting to Know: The Australian Bureau of Statistics. \n\nThursday\, 4 May at 2pm AEST\n\nIn this seminar\, Claire Clarke will give a brief overview of the Australian Bureau of Statistics and the work done by statisticians and data scientists there. She will outline the Data Graduate recruitment process and the ABS graduate development program\, as well as other opportunities for careers at the ABS. \nBenjamin Long will give some insights into his experiences as a graduate statistician at the ABS. \nAbout the presenters: \nClaire joined the ABS as part of the 2001 graduate cohort\, and has worked in a range of positions in the Methodology Division on projects that have covered sample design and selection\, dealing with missing data\, applications of natural language processing\, and the use of machine learning for anomaly detection and data cleaning amongst many others.  Claire is currently acting director of the Methodology Futures section\, a team focused on the use of large administrative datasets and data science techniques in the creation of statistics\, and she was the chair of the 2023 APS Data Graduate recruitment stream. \nBenjamin graduated from the University of New South Wales with a degree in statistics and accounting in 2021. He joined the Methodology Division through the ABS Graduate program in February 2022. Since then\, he has worked on several different projects involving time-to-event data analysis\, big data\, machine learning\, and is currently working on the production of life tables and Bayesian modelling.
URL:https://australiandatascience.net/event/getting-to-know-the-australian-bureau-of-statistics/
LOCATION:Online
CATEGORIES:Event,Online workshop
ORGANIZER;CN="Statistical Society of Australia (SSA)":MAILTO:eo@statsoc.org.au
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230510
DTEND;VALUE=DATE:20230511
DTSTAMP:20230420T013214Z
CREATED:20230420T013214Z
LAST-MODIFIED:20230420T013214Z
UID:4711-1683676800-1683763199@australiandatascience.net
SUMMARY:Biosecurity Commons Launch
DESCRIPTION:Biosecurity Commons will officially launch on 10 May at the Annual Diagnostics and Surveillance Workshop 2023 in Canberra. Biosecurity Commons will deliver a cloud-based decision-support platform for modelling and analysing biosecurity risk and response. The project is a $1.8m joint initiative between the Australian and Queensland Government\, the NCRIS funded ARDC and four other organisations\, including the Centre of Excellence for Biosecurity Risk Analysis at The University of Melbourne\, Griffith University\, EcoCommons\, and the Atlas of Living Australia\, hosted by the CSIRO.
URL:https://australiandatascience.net/event/biosecurity-commons-launch/
LOCATION:Canberra\, Australia
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20230518T100000
DTEND;TZID=Australia/Brisbane:20230518T150000
DTSTAMP:20230420T013529Z
CREATED:20230420T013529Z
LAST-MODIFIED:20230420T013529Z
UID:4714-1684404000-1684422000@australiandatascience.net
SUMMARY:Queensland Research Software Developers Forum
DESCRIPTION:QCIF and ARDC would like to invite you to the Queensland Research Software Developers Forum being held at UQ’s Global Change Institute. The forum will provide an in-person platform for research software developers to come together to network with your peers\, to share ideas and best practices\, and to foster the development of a strong local community of practice. \nParticipants will have the opportunity to highlight the depth and breadth of their software development activities and to showcase some of the projects they are working on. We’ll discuss the potential for greater cooperation and collaboration within the software developers community\, and will hold a knowledge-sharing session to explore solutions to any technical challenges that attendees have encountered. \nThe QCIF/ARDC Software Developers Forum will take place in the Global Change Institute at the University of Queensland St Lucia campus\, Thursday 18th May 10am to 3pm. There is no cost to attend this forum\, and morning tea and lunch will be provided. We encourage you to share this invitation with any colleagues or contacts who you think might also be interested in joining us. Please contact Mark Crowe (QCIF Skills Development Manager – mark.crowe@qcif.edu.au) for more information or to register for the forum.
URL:https://australiandatascience.net/event/queensland-research-software-developers-forum/
LOCATION:The University of Queensland\, St Lucia\, Queensland\, 4072\, Australia
END:VEVENT
END:VCALENDAR