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• SSA Canberra Knibbs Lecture: Perspectives on sample surveys by Prof David Steel

  • When
    30 Nov 2021
  •  
    5:45 PM - 7:00 PM (AEDT)
  • Location
    Face-to-face + online

  SSA Canberra invites you to attend this year's Knibbs lecture, which will be presented by Prof David Steel (UoW).

  Date:  Tuesday 30th November

  Time: 5:45pm-7pm Canberra time.

  Format: Hybrid face-to-face + online:

  • The lecture will be given in person at the Australian Bureau of Statistics (ABS) Knibbs theatre.  Due to current ACT COVID-19 restrictions, people who wish to attend must: 1) check in with the QR-code upon arrival or sign in as a visitor at reception; 2) wear a face mask.; 3) spread out when seated in the theatre, to maintain social distance.
  • The lecture will simultaneously streamed online over Zoom. If you wish to attend the lecture online. Please register in advance for this meeting at this link. After registering, you will receive a confirmation email containing information about joining the meeting.

  
  

  Dinner: After the talk we will be holding a dinner at No 10 restaurant and bar, a new restaurant under the Abode Hotel, 3 Grazier Lane, Belconnen ACT 2617 (https://www.number10restaurantandbar.com/).

  If you are interested in attending the dinner, please let me know by 12.30pm Monday 29 November by entering your details at this spreadsheet, or contacting warren.muller@csiro.au. Please regard this as a firm commitment, not just an intention.

  Talk title: Perspectives on Sample Surveys. 

  Abstract: Sample surveys have developed over the last 100 years to be a major way of obtaining useful data about populations and processes in many situations. Theoretical and practical developments have had to respond to changing requirements and uses and been influenced by changes in data collection technology and behavioural changes in society. The lecture will consider some major historical developments and the issues and challenges currently facing the continued usefulness of sample surveys.

  Biography: David Steel is Director of the Centre for Sample Survey Methodology at the University of Wollongong. His theoretical research and applied projects focus on survey methodology, sample survey design and analysis methods for complex social, health and economic data. He has undertaken survey design and analysis projects with a number of national and international agencies. He learnt much of the art and science of sample surveys during his time in the methodology and industry divisions of the ABS. He has BSc (Hons) from the University of Adelaide, MSc in Statistics from ANU, and a PhD from the University of Southampton and is an elected member of the ISI.

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• SSA WA - End of Year Dinner

  • When
    30 Nov 2021
  •  
    6:30 PM - 9:00 PM (WAST)
  • Location
    Itsara

  Register

  The Western Australian Branch of the Statistical Society of Australia warmly invites you to our End of Year Dinner for 2021.
  
  Date: Tuesday, 30 November 2021.
  Time: 6:30PM
  Venue: Itsara, 25 Stirling Hwy, NEDLANDS.
  
  The menu for the evening may be found here and pricing is as follows:

  • $35 pp. for SSA Members and their guest,
  • $25 pp. for SSA Student Members, and
  • $60 for others.
  • Drinks are additional.

  
  We look forward to you joining us for an evening of good food and good company.

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• StatChat

  • When
    1 Dec 2021
  •  
    11:30 AM - 12:30 PM (AEDT)
  • Location
    Online

  Register

  StatChat is back!

  
  

  Have some statistical Qs you’d like to discuss with others? Or just want to learn what people are wrestling with and contribute your thoughts? Come to StatChat, a relaxed session where your questions can be answered! Come to ask, answer or listen! At least one senior statistician will be present each time, and this session will feature Lyle Gurrin. 

   

  Open only to SSA members, free registration

   

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• SSA NSW: Early Career and Student Statisticians Career Event 2021

  • When
    1 Dec 2021
  •  
    6:00 PM (AEDT)
  • Location
    The Occidental (43 York St, Sydney NSW 2000), near Wynyard Station
  • Spaces left
    69

  Registration is closed

  The New South Wales branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual event for Early Career and Student Statisticians on Wednesday 1st December 2021 at 6pm. The event will take place at The Occidental (43 York St, Sydney NSW 2000), near Wynyard Station.
  
  This year we have spectacular speakers from several industry sectors and academic backgrounds. The speakers will share stories from their careers and provide insights into their professions. For example, have you wondered what you can do after doing a statistics degree, what it is like to transition from mathematics to statistics, or what other statistics professions are like? Then this event is for you!
  
  After the talks, there will be plenty of time to chat with the speakers over drinks and food and to connect with people from many different areas of statistics and data science. Come join us to discover how analytical techniques translate into pragmatic problem-solving in the real world!

  Join us for the Early Career and Student Statisticians Career Event 2021 and you will also have a chance to win one of our lucky door prizes!

  Please note that you will have to bring your ID on the day.

  Meet our speakers
  

  

  Barnali Das (ANZ)
  Barnali has worked in the Quantitative Finance space for over 15 years. She started out as an Electrical Engineer from Indian Institute of Technology. She moved to finance early on with an Masters in Business Administration from Indian Institute of Management and a Masters in Quantitative Finance from University of Technology, Sydney. During the past 15 years in financial modelling, she has worked at Westpac, NAB and ANZ. She has also worked for a Non-bank, Pepper and in Wealth Management at AMP. She is very interested in application of Mathematics and Statistics to Financial modelling, be it for Pricing or Validation or Hedging. Another area of interest is Data Driven Decision Making involving Machine Learning.

  
  

  Dean Marchiori (Endeavour Energy)
  Dean Marchiori is an Applied Statistician and specialist in advanced data analytics. His interest areas are in time series analysis, geospatial and airborne LiDAR analysis and the R programming language. Dean currently leads the data science team for Endeavour Energy where his work focuses on modelling bush fire and vegetation risk on the electricity network. Dean is a university medal recipient in mathematics. In 2019, he was named one of the top 10 analytics leaders in Australia by the Institute of Analytics Professionals of Australia. He is also recognised as an Accredited Statistician with the Statistical Society of Australia, and sits on the SSA committee for Statistical Computing and Visualisation.
  

  
  

  Joshua Ching (Deloitte)
  Joshua Ching PhD is a senior manager at Deloitte, specialising in the application of data science and machine learning in the financial space.  He has worked both in an individual capacity as well as leading teams in many successful multi-million dollar value projects including fraud detection, optimisation of claims processing and reinsurance.  He has four years’ experience at QBE Insurance as lead data scientist, and has previously spent time in both government and academia.  In particular, he was a university tutor and postgraduate teaching fellow in the School of Mathematics and Statistics at the University of Sydney for many years.  Joshua has also interviewed many candidates for the data scientist role and has insight into what is needed for success.
  Joshua holds a PhD in pure mathematics (singular solutions to nonlinear elliptic differential equations with a gradient term), as well as a double honours in a Bachelor of Science (Advanced Mathematics) and a Bachelor of Laws from the University of Sydney.  His most recent game is AOE 4, most recent anime is the Demon Slayer movie and dreams of sipping pina coladas in the Maldives!
  

  
  

  Sarah Romanes (BCG GAMMA)
  Sarah is a Senior Data Scientist at BCG GAMMA – an international advanced analytics consulting firm that aims to combine business with data science and technology built in.  As a data scientist at BCG, Sarah has worked on a wide variety of interesting projects at large Australian corporations in business banking, steel supply chain, and telecommunications.
  Prior to starting at BCG, Sarah completed her PhD in statistical machine learning at the University of Sydney, working with A/Prof John Ormerod and Prof Jean Yang on developing discriminant analysis methods for large scale and complex data sets.
  

  

  Stephen Bush (SEEK)
  Steve is a Principal Optimisation Analyst at SEEK, where he leads the Experimentation team. He has a PhD in Mathematics from the University of Technology Sydney. His specialisation is the efficient design of experiments and is interested in the use of experimentation at scale to enable data driven decision making and providing advice on evaluation, measurement and statistical methods.
  

  
  

  Steph Stammel (Transurban)
  Steph is Principal Econometrician at Transurban. She has worked as a data science consultant in industry and government, providing advice on Responsible AI, standing up machine learning teams and taking AI / machine learning from really interesting to really useful. She’s a member of the R user community, organising conferences in Australia. She’s most passionate about advocating for early career and career-changing practitioners.

  Contact:
  For any questions or concerns please contact secretary.nswbranch@statsoc.org.au.
  

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• Australian Trials Methodology Conference 2021

  • Start
    6 Dec 2021
  •  
    (AEDT)
  • End
    7 Dec 2021
  •  
    (AEDT)
  • Location
    Online

  This event is being convened by the Australian Trials Methodology (AusTriM)

  The organising committee warmly invite you to join us at our first Australian Trials Methodology Conference, which will take place fully online over the 6th and 7th of December 2021.

  The meeting program will showcase cutting-edge trial design and analysis approaches in a way that is thought-provoking yet still accessible to bio-statisticians, methodologists and trialists (across any clinical discipline) alike.

  
  

  Invited Sessions

  Opening Plenary Stephen Senn (UK/CH) Marcel Wolbers (CH)
  Novel Trial Design Susan Murphy (US) Elaine Pascoe (AU) Tom Snelling (AU)	Trial Analysis Dimitris Rizopoulos (NL) Suzie Cro (UK) Ian White (UK)	Cluster Randomised Trials Fan Li (US) Charles Weijer (CA) Phillip Westgate (US)

   

   

  Registration

  Registration type	Price
  Standard	$200
  Student	$100

   

  Abstract Submission

  The Scientific Program Committee are now accepting abstracts for oral presentations. It is anticipated that presentations will be 15 minutes in length (subject to change). We welcome any submissions which focus on innovative clinical trial design or analysis methodology. Please see the event website for further details.

   

  Key dates

  Submissions open	Monday 16th August
  Submissions close	Friday 17th September
  Authors notified	Friday 22nd October

  
  To register please click here.
  

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• CPD140 - Data Visualisation with R

  • When
    6 Dec 2021
  •  
    9:00 AM - 5:00 PM (AEDT)
  • Location
    Online
  • Spaces left
    9

  Statistical Society of Australia warmly invites you to a workshop on data visualisation with R, taught by Prof. Di Cook and Dr. Emi Tanaka.

  About the workshop:

  Data visualisation is a key statistical tool for effective communication and to understand aspects of data and models. The statistical language R is used widely for data analysis and visualization, e.g. the BBC Visual and Data Journalism team uses ggplot2 R-package to create production-ready charts. This workshop will teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package. In addition, the workshop will teach you how to construct more complex plots, including maps, and discuss inference for statistical graphics to understand if what we see in a plot is really there. The workshop will be hands-on with plenty of practical examples.

  About the presenters:

  Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia.  She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit.  She is currently focusing on bridging the gap between exploratory graphics and statistical inference.  Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal,  elected Ordinary Member of the R Foundation, and elected member of the International Statistical Institute. 

  Emi Tanaka is a Lecturer in Statistics at Monash University and the Vice President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in multi-level modelling, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.

  Target audience:

  This workshop is suitable for those who know R but are not familiar or comfortable with using ggplot2 or would like a refresher on ggplot2. It is aimed for those that have familiarity with ggplot2 but would like to delve deeper into advanced plotting techniques, including interactive plots and animating plots, and using plots for inference.

  Learning objectives:

  Dipping Your Toes into Data Visualization with R

  Presented by Emi Tanaka
  

  • Review of tidy data format

  • Basics of the grammar of graphics

  • Drawing the basic data plot types (barchart, pie chart, histogram, density plot, scatterplot, boxplot) utilising a range of common geoms and variable mappings

  • Choosing colour wisely

  • All about scales, transforming data, setting limits, changing coordinate systems, axis specifications, ordering levels of categorical axes

  • Jazzing up your plot with different themes, plot annotations and combining plots together to make a publication-ready plot

  Diving Deeper into Data Visualization with R

  Presented by Di Cook
  

  • Check your knowledge, a review of basic plotting with the grammar

  • Expanding your graphics toolbox to mapping, making choropleth maps, using map images as a base

  • Making your plots speak. Adding interactive elements including mouse-over labels, and sliders for controlling parameters, using plotly. Animating plots using gganimate.

  • Learn how to decide on the best plot design for a problem, and how to  determine if what you see is a real structure. 
    

  Requirements:

  • basic R knowledge (e.g. you have used R to load data, create simple visualisations, perform basic analyses and write simple functions or more specifically, you are familiar with concepts in Cookbook for R by Winston Chang)

  • basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)

  • computer (with ability to install R and R-packages), microphone and web camera 

  • stable internet connection

  • Install the video conferencing software, zoom and know how to use zoom

  Desirable:

  • Know about tidy data (i.e. importing data and putting data into the right format for plotting)

  • Some familiarity with tidyverse

  TimeTable: 

  09:00 – 10:30 (1.5 hours)	Session 1
  10.30 – 11:00	Break
  11:00 – 12:30 (1.5 hours)	Session 2
  12:30pm - 1.30pm	Break
  1:30 - 3:00 (1.5 hours)	Session 3
  3:00 - 3:30	Break
  3:30 - 5:00 (1.5 hours)	Session 4

   

  Cancellation policy:

  Cancellations received prior to 1 Dec 2021 will be refunded, minus a $20 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au..

  
  

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• CPD146 - **Advanced** Data visualisation with R

  • Start
    8 Dec 2021
  •  
    (AEDT)
  • End
    9 Dec 2021
  •  
    (AEDT)
  • Schedule
    2 sessions
  • Location
    Online via Zoom
  • Spaces left
    5

  Register

  The SSA Canberra Branch warmly invites you to a workshop on Advanced Data Visualisation with R, taught by Professor Di Cook and Dr Emi Tanaka.

  
  

  This workshop will build upon the skills and experience acquired from the "Data Visualisation with R" workshop, which Emi and Di have run successfully several times across multiple SSA branches*, as participants dive deeper into advanced programming with ggplot2 and extensions for interactive graphics, web apps, and so on.

  
  

  *Note participants need not have attended the "Data Visualisation with R" workshop in order to attend this workshop. However, please see the Requirements and Desired knowledge below.

  
  

  About the workshop:

  
  

  Are you familiar with how to use ggplot2 for creating graphics? Do you want to delve deeper into advanced programming with ggplot2, extend your plots with interactivity and embed them in a web app?  In this workshop, we teach about the internals of the ggplot2, meta-programming concepts to help you program with ggplot2, and deliver web apps for flexible and effective data visualisation. 

  The workshop will be hands-on with plenty of practical examples.

  Learning objectives:

  Day 1

  • Drawing with the grid package 

  • Internals of ggplot2 and writing extensions

  • Programming with ggplot2

  Day 2

  • Overview of tools for interactive plots

  • Digging deeper into reactive elements in shiny

  • Web apps to deliver effective data visualisation

  
  

  Target audience:

  The workshop is suitable for those who are familiar and comfortable with R and ggplot2. 

  Please note the workshop is capped at 25 participants, so don't miss out and register as early as possible!

  Requirements:

  • Intermediate R knowledge (you use R on a regular basis, are comfortable writing code from scratch, routinely create data plots using ggplot2, familiar with concepts in Cookbook for R by Winston Chang)

  • basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)

  • computer (with ability to install R and R-packages), microphone and web camera

  • stable internet connection

  • Install the video conferencing software, zoom and know how to use zoom

  • Have a (free) account on shinyapps.io

  
  

  Desirable Skills:

  • Some familiarity with tidyverse

  • Understand quasiquotation

  • Know the S3 object oriented programming system

  • Familiar with functional programming

  • Familiarity with shiny

  
  

  About the presenters:

  Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia.  She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit.  She is currently focusing on bridging the gap between exploratory graphics and statistical inference.  Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal, elected Ordinary Member of the R Foundation, and elected member of the International Statistical Institute. 

  Emi Tanaka is a Lecturer in Statistics at Monash University and the incoming President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in multi-level modelling, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.

  
  

  Timetable (tentative):

  Day 1

  9am – 9:45am	Session 1
  9:45am – 10am	Break / networking
  10am – 10:45am	Session 2
  10:45am-11am	Break / networking
  11am-11:45am	Session 3
  11:45am-12pm	Break / networking

  Day 2

  9am – 9:45am	Session 4
  9:45am – 10am	Break / networking
  10am – 10:45am	Session 5
  10:45am-11am	Break / networking
  11am-11:45am	Session 6
  11:45am-12pm	Break / networking

  
  

  Deadline:

  • Early bird registrations closes on midnight of Wednesday 24th November 2021.
  • Regular registrations close on midnight of Friday 3rd December 2021.

  
  

  Cancellation policy:
  

  Cancellations received prior to midnight of Friday 3rd December 2021 will be refunded, minus a $20 administration fee. From then onwards, no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.

  
  

  Contacts:

  Please contact the organisers: Linh Nghiem (linh.nghiem@anu.edu.au) and/or SSA Canberra (ssacanberra@gmail.com) for further details.

  If your organisation would like to discuss bulk registration options, please contact Linh Nghiem (linh.nghiem@anu.edu.au).

  Show details
• NSW Branch: 22nd J. B. Douglas Awards

  • When
    9 Dec 2021
  •  
    2:00 PM - 5:30 PM (AEDT)
  • Location
    the Aerial Function Centre, UTS

  The 22nd J.B. Douglas Awards will be held at the Aerial Function Centre, UTS on Thursday 9th of December 2021. Each year, the J.B. Douglas Awards provides a platform to showcase research produced by postgraduate students who are about to graduate. As it is a hybrid event this year, you will be able to join us virtually via Zoom if you are not able join us physically.

  Please note that for security reasons, if you choose to attend virtually via zoom, you will need to register here

  in advance. After registering, you will receive a confirmation email containing information about joining the meeting. Both the J.B. Douglas Awards and the Annual Lecture share the same Zoom link.

  22nd J.B. Douglas Awards

  Time: Thursday 9 December, 14:00-17:30 AEDT

  Award candidates:

  Congratulations to the following students for their nominations to present at the 22nd J.B. Douglas Awards! If your School/Department's nominated student is not listed below then please contact secretary.nswbranch@statsoc.org.au ASAP.

  •     Aishwarya Bhaskaran, School of Mathematical and Physical Sciences, University of Technology Sydney
  •     Lijing Ma, Department of Mathematics and Statistics, Macquarie University
  •     Maeve McGillycuddy, School of Mathematics and Statistics, University of New South Wales
  •     Mingyuan Bai, Discipline of Business Analytics, University of Sydney Business School
  •     Quan Vu, School of Mathematics and Applied Statistics, University of Wollongong
  •     Yunwei Zhang, School of Mathematics & Statistics, The University of Sydney

  The titles and abstract of the candidates' presentation will be made available together with a detail programme in the next few days, please stay tuned.

  Our Sponsors:

  Thank you to our sponsors that make this event this possible, especially in this chaotic year! If your organisation can sponsor a small amount, we would appreciate this. All sponsor logos will be displayed in the J.B. Douglas programme.

  Gold Sponsors
  
  
  
  Sponsors
  
  
  Business School, Business Analytics Research
  
  
  Department of Mathematics and Statistics
  
  
  School of Mathematics and Statistics
  
  
  National Institute for Applied Statistics Research Australia

  Any questions, please feel free to contact: secretary.nswbranch@statsoc.org.au.
  

  Show details
• NSW Branch: 2021 Annual Lecture by Prof. Simon Jackman - Statistics in the public eye: the case of predicting election outcome

  • When
    9 Dec 2021
  •  
    6:00 PM - 7:00 PM (AEDT)
  • Location
    the Aerial Function Centre, UTS

  Following the J. B. Douglas Awards, there will be the Annual Lecture by Prof. Simon Jackman from the United States Studies Centre, the University of Sydneyabout predictive models of election outcomes.
  
  Please note that for security reasons, if you choose to attend virtually via zoom, you will need to register here in advance. After registering, you will receive a confirmation email containing information about joining the meeting. Both the J.B. Douglas Awards and the Annual Lecture share the same Zoom link.

  Statistics in the public eye: the case of predicting election outcome
  
  Prof. Simon Jackman
  the United States Studies Centre, the University of Sydney
  
  Abstract
  Predictive models of election outcomes – relying chiefly on published opinion polls – have been a leading example of statistical methods finding their way into media and popular discourse. After early successes, these models have been at the heart of “polling misses” in recent years across elections in the USA, Australia and the UK.
  
  Professor Jackman will examine these successes and failures, detailing the statistical models used to temporally aggregate and smooth poll-based estimates of voting intentions - a form of Hidden Markov Model.
  
  Professor Jackman will also discuss (a) generalisations and extensions of the model including estimating trends and discontinuities in the evolution of public opinion over election campaigns, spatial smoothing for multi-jurisdiction elections (e.g., parliamentary elections or the US Electoral College), (b) ex-post estimation of pollster biases and their causes, and (c) detecting under-dispersion or “herding” of published poll results. Examples will include recent Australian federal elections and US presidential elections. These examples hold important lessons for statisticians whose work is destined for consumption by journalists and the lay public.

  Biography
  Professor Simon Jackman is Chief Executive Officer of the United States Studies Centre. He graduated with first class Honours in Government from the University of Queensland and earned his doctorate at the University of Rochester and Princeton University.
  
  Professor Jackman’s research has appeared over the last 30 years in the leading journals of political science. He served as one of the Principal Investigators of the American National Election Studies, the world’s longest running and most authoritative survey of political behaviour and attitudes. He also served as an expert witness helping to secure verdicts against partisan gerrymandering in the United States.

  Our Sponsors:

  Thank you to our sponsors that make this event this possible, especially in this chaotic year! If your organisation can sponsor a small amount, we would appreciate this. All sponsor logos will be displayed in the J.B. Douglas programme.

  Gold Sponsors
  
  
  
  Sponsors
  
  
  Business School, Business Analytics Research
  
  
  Department of Mathematics and Statistics
  
  
  School of Mathematics and Statistics
  
  
  National Institute for Applied Statistics Research Australia

  Any questions, please feel free to contact: secretary.nswbranch@statsoc.org.au.

  Show details
• NSW Branch: 2021 Annual Dinner

  • When
    9 Dec 2021
  •  
    7:00 PM (AEDT)
  • Location
    the Aerial Function Centre, UTS
  • Spaces left
    33

  Register

  It has been a long while since COVID and we finally be able to meet and chat to the peers of our community face-to-face! The event will be held in the Aerial Function Center, UTS, at around 7:00 PM AEST right after the Annual Lecture. The dinner will be in a buffet setting, please make sure to specify if you have any dietary requirement.

  To support our early career and student Statisticians community we decided provide a discount to the annual dinner ticket:

  • If you are student or transitional members, you will be able to use your corresponding registration type provided directly;
    
  • If you are not currently in the two membership type but within 5 years post your last Statistics degree, please sent an email to secretary.nswbranch@statsoc.org.au with your name, last degree name, name of institution, time of our graduation, membership status and current position, we will verify and assist you with your registration.

  The events might be subjected to the health order at the time, you will be notified if there were any changes to the plan.

  Our Sponsors:

  Thank you to our sponsors that make this event this possible, especially in this chaotic year! If your organisation can sponsor a small amount, we would appreciate this. All sponsor logos will be displayed in the J.B. Douglas programme.

  Gold Sponsors
  
  
  
  Sponsors
  
  
  Business School, Business Analytics Research
  
  
  Department of Mathematics and Statistics
  
  
  School of Mathematics and Statistics
  
  
  National Institute for Applied Statistics Research Australia

  Any questions, please feel free to contact: secretary.nswbranch@statsoc.org.au.

  Show details
• CPD144- ABS Symposium on Data Access and Privacy

  • Start
    13 Dec 2021
  •  
    9:00 AM (AEDT)
  • End
    15 Dec 2021
  •  
    12:30 PM (AEDT)
  • Location
    Online
  • Spaces left
    129

  Register

  
  

  SSA and ABS are proudly presenting:

                                          

  

  The ABS Symposium on Data Access and Privacy

  This symposium is about public data access and privacy and will bring together key stakeholders from the Australian Public Service and academia to consider recent developments and share experience in enabling data access for research while ensuring confidentiality.

  On day 1, we will hear panel discussions from international and Australian experts share their views on ‘the challenge of protecting privacy in public data’ and ‘the case for better access to public sector data’. The final session will be multiple breakout sessions of round table discussions focusing on ‘the future of data sharing’. On day 2, we will hear research and developments and practical experience in confidentiality in the public sector and academia. The presentations focus methods to ensure confidentiality in microdata and aggregate statistics.

  Day 1

  “The balance between privacy and openness in public data” 

  • 09:15-09:30 -Welcome- Dr David Gruen (The Australian Statistician, ABS) – bio
  • 09:40-10:30- Panel 1: The challenge of protecting privacy in public data
  • Opening: Dr. John M Abowd (Chief Scientist, USCB) – bio and CV

  Moderator: Dr David Gruen
  
  Focus: While public data is a powerful resource, we need to uphold public trust
  and prevent misuse. Discussion may include the problems of implementing
  protections while still releasing a useful product, and the cumulative risks that
  can be hard to measure and control.
  
  Panel:
  

  • Dr. John M Abowd (Chief Scientist, USCB) – bio and CV
  • Professor Ben Rubinstein – bio
  • Mr Peter van Dijk (Director, Galexia) – bio

  10:30-10:40-Break 

  10:40-11:30-Panel 2: The case for better access to public sector data
  

  • Opening: Ms Deborah Anton (interim National Data Commissioner) – bio and Professor Felix Ritchie - bio
  • Moderator: Ms Teresa Dickinson (Deputy Australian Statistician, ABS) – bio

  Focus: Safe dissemination and sharing of public data enables a wide variety of
  researchers to deliver clear and measurable public benefits. The panel
  may discuss some of the outcomes that have resulted from existing data releases as well as potential future projects.
  
  Panel:
  

  • Ms Deborah Anton (interim National Data Commissioner) – bio
  • Professor Robert Breunig - bio
  • Dr Nick Biddle (ANU Centre forSocial Research and Methods)

  11:30-11:40-Break 

  11:40-12:20-Panel 3: The future of data sharing
  

  Moderator: Marcel van Kints (Chief Data Officer, ABS) - bio

  Focus:
  •What are the steps to finding thebalance between the privacy risks
  and public benefits of our data?
  •What is the way forward for publicagencies as public attitudes towards
  data change?
  -Breakouts

  12:20-12:30-Day 1 closing- Anders Holmberg (Chief Methodologist, ABS) - bio

  
  

  Day 2 

  “Research and developments in safe data in the public sector”
  
  09:15-09:30-Day 2 opening-Anders Holmberg (Chief Methodologist, ABS) - bio
  

  09:30-10:30-Session 1-Microdata research and developments
  Facilitator: Dr Joseph Chien / Chris Mann
  

  10:30-10:40-Break
  

  10:40-11:40-Session 2-Aggregate statistics research and developments
  Facilitator: Dr Joseph Chien / Chris Mann
  

  11:40-11:50-Break
  

  11:50-12:20-Breakout discussions
  

  12:20-12:30- Day 2 conclusion-Dr Anders Holmberg 

  
  

  This event is free but you do need to register.

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• SSA Vic end-of-year social event

  • When
    15 Dec 2021
  •  
    6:00 PM - 9:00 PM (AEDT)
  • Location
    University House Professor's Walk, University of Melbourne, Parkville

  Register

  Have you been craving a face-to-face catch-up with your statistically significant friends and colleagues?

  
  

  SSA Vic will be hosting an in-person social evening on the 15th of December to make up for the missed opportunities over the past two years!

  
  

  The event will be held at University House at the University of Melbourne's Parkville campus where attendees will enjoy food, drink, and the conversation of their fellow statisticians - as well as some of our speakers from 2020 and 2021.

  
  

  Tickets are limited so get in fast!

  
  

  All attendees must be fully COVID vaccinated, be able to demonstrate proof of vaccination status on arrival, and adhere to all COVID safety requirements of the venue.
  

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• AMSI Summer School 2022

  • Start
    10 Jan 2022
  •  
    (AEDT)
  • End
    4 Feb 2022
  •  
    (AEDT)
  • Location
    Hybrid

  
  

  SSA is a proud sponsor of AMSI Summer School 2022.

  Study up to two of the eight honours-level mathematical science subjects with specialist lecturers from around Australia. You can even take a subject for credit! Deepen your knowledge, explore a new branch of mathematics or get a fresh perspective on your research.

  With program extras including social events, special lectures and a Careers Day featuring potential employers, there has never been a better time to expand your mathematical world. They welcome all honours and postgraduate students, and early career researchers in the mathematical sciences and cognate disciplines to join them.

  Scholarships available. For more information and register click here.
  

  
  

  
  

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• ACSPRI's 2022 Summer Program

  • Start
    17 Jan 2022
  •  
    (AEDT)
  • End
    18 Feb 2022
  •  
    (AEDT)
  • Location
    Online

  ACSPRI's 2022 Summer Program is offering courses over 4 weeks in January and February 2022. 

  • Classes will run across 2 to 5 days in blocks of 'online time'.
  • Classes will be restricted to 12 people to maintain the interactivity and applied nature of our courses.
  • Depending on the course, you will receive reading, notes and general information about the course in advance.
  • All other software requirements will be listed on the course page & we will contact you in advance to make sure you have what you need.
  • Prior to to the course, we will offer you an opportunity to test your setup with ACSPRI support staff.
  • We understand that networking is a very important part of your ACSPRI experience, over the week, there will be ample opportunities to interact with your fellow classmates and instructor as well as work on applied exercises.

  
  

  Courses in this program:

  Level	Week	Venue	Title	Status
  Level 1	Week 1	ONLINE	Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online	Open
  Level 1	Week 1	ONLINE	Introduction to Qualitative Research: Online	Open
  Level 2	Week 1	ONLINE	Data Analysis Using Stata: Online	Open
  Level 2	Week 1	ONLINE	Fundamentals of Program Evaluation in Public Policy: Online	Open
  Level 3	Week 1	ONLINE	Fundamentals of Structural Equation Modelling: Online	Open
  Level 5	Week 1	ONLINE	Multi-level Analysis using Mplus: Online	Open
  Level 1	Week 2	ONLINE	Foundations of Qualitative Methodologies, Data Collection and Analysis Online (3-Day)	Open
  Level 1	Week 2	ONLINE	Fundamentals of Statistics: Online	Open
  Level 1	Week 2	ONLINE	Introduction to Social Network Research and Analysis: Online	Open
  Level 2	Week 2	ONLINE	Data Analysis in R: Online	Open
  Level 2	Week 2	ONLINE	Qualitative Research: Design, Analysis and Representation: Online	Open
  Level 3	Week 2	ONLINE	Applied Longitudinal Data Analysis: Online	Open
  Level 4	Week 2	ONLINE	Applied Structural Equation Modelling: Online	Open
  Level 2	Week 3	ONLINE	Applied Statistical Procedures: Online	Open
  Level 2	Week 3	ONLINE	Fundamentals of Multiple Regression: Online	Open
  Level 2	Week 3	ONLINE	Qualitative Comparative Analysis (QCA): An Introduction (Online - 3 Day)	Open
  Level 3	Week 3	ONLINE	Advanced Statistical Analysis Using R: Online	Open
  Level 3	Week 3	ONLINE	Big Data Analysis for Social Scientists : Online - (3 Day)	Open
  Level 5	Week 3	ONLINE	Advanced Structural Equation Modelling: Online	Open
  Level 2	Week 4	ONLINE	Qualitative Comparative Analysis (QCA): An Application in 10 Steps (Online - 4 Day)	Open

  
  

  How to enroll: 

  Step 1: Log in to the ACSPRI website (you can create an account or request a new password if required). The account should be in the name of the person taking the course. Alternative billing details (e.g. for a Finance Officer) can be entered later if need be.

   Step 2:  Check the status of the desired course. If places are available the status will show up as "Open". If the course is "Full" you will be able to join the waiting list for that course. You would then be contacted via email if a place becomes available or a second course is offered.

   Step 3: Select the title of the desired course to see the course outline page.  Select "Add to cart" and proceed to checkout.

   Step 4: Enter billing details (e.g. yourself or an admin/finance officer). Enter shipping details (course notes will be mailed to this address), and either finalise payment by credit card or request an invoice by selecting 'Direct Deposit', (please keep in mind the relevant payment deadlines).

   Step 5: Click "Review Order" to check the details and then submit order.

   Step 6: Check your invoice/receipt (under the course title) to see if your course has been confirmed to run at the program. If it has not yet been confirmed, you will receive an email when a sufficient number of bookings has been received and the course has been confirmed.

  For more information click here.
  

  Show details
• ICM 2022 - external conference

  • Start
    6 Jul 2022
  •  
    (AEST)
  • End
    14 Jul 2022
  •  
    (AEST)
  • Location
    St Petersburg, Russia

  The ICM 2022 (International Congress of Mathematicians) will take place 6–14 July 2022 in St. Petersburg, Russia.
  
  The 19th General Assembly of the IMU will be held in St. Petersburg, on 3–4 July 2022. 
  The official website of the Congress is https://icm2022.org
  

  Show details
• XXXI International Biometric Conference (IBC 2022) - external event

  • Start
    10 Jul 2022
  •  
    (AEST)
  • End
    15 Jul 2022
  •  
    (AEST)
  • Location
    Riga, Latvia

  to be held at the Radisson Blu Latvija Conference & Spa Hotel

  
  

  Show details
• International Symposium on Forecasting

  • Start
    10 Jul 2022
  •  
    (GDT)
  • End
    13 Jul 2022
  •  
    (GDT)
  • Location
    University of Oxford, United Kingdom

  The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world's leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.

  Important Dates 2022

  Invited Session Proposals: March 4

  Abstract Submissions: March 25

  Travel grants application: March 4

  Early Registration: May 3

   

  Speakers

  Yael Grushka-Cockayne, Darden School of Business, University of Virginia

  Massimiliano Marcellino, Bocconi University

  Ruud Teunter, University of Groningen

  Mihaela van der Schaar, University of Cambridge

  George Wright, Strathclyde Business School

  Johanna Ziegel, University of Bern

   

  For more information click here or, contact isf@forecasters.org

  Show details
• Australasian Applied Statistics Conference 2022

  • Start
    28 Nov 2022
  • End
    2 Dec 2022
  • Location
    RACV Inverloch Resort, Victoria, Australia

  The details can be found here: https://aasc2022.netlify.app/

  The workshop will be held on Mon 28th Nov 2022. 

  The conference itself is to be held on Tue 29th Nov to Fri 2nd Dec 2022. 

  Show details
• IBS-AR Biometrics Conference

  • Start
    27 Nov 2023
  • End
    1 Dec 2023

  The conference will be joint with SEEM at Bay Of Islands in New Zealand.

  Show details