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Events listing - SSA events

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Upcoming events

    • 9 Jul 2020
    • 1:00 PM - 2:30 PM (UTC+10:00)
    • via Zoom, link we be emailed closer to the date

    If all had gone according to plan, then on July 9, several of us would have been gathering on the Gold Coast to meet and talk about the latest in Australian and New Zealand statistics. Since we can't do that, we have gathered together 4 fantastic talks covering a fantastic range of statistical work.

    Join us for this mini-conference session, and hear from:

    • Sepi Sharif, talking about "Exploring the computational efficacy of Inductive Linearisation to solve for pharmacokinetic-pharmacodynamic systems of nonlinear ordinary differential equations"
    • Gang Xie, who will encourage us to "Please join us - say ‘No’ to Null Hypothesis Significance Testing"
    • Michael Slyuzberg, talking about "New Zealand Crime and Victims Survey - filling gaps in administrative data"
    • Clara Grazian, presenting work on "New formulation of the Logistic-Gaussian process to analyze trajectory tracking data"
    Each speaker will have 10 minutes to talk, followed by 5 minutes for questions and discussion.

    The zoom link will be sent closer to the date.

    • 10 Jul 2020
    • 3:00 PM (UTC+10:00)
    • via Zoom - submission deadline is 1 July!

    The SSA wants to know what our student and early career members are working on. To find out, SSA’s Young Statisticians Network (YSN) is running a virtual Poster Pitch event via Zoom on Friday July 10 at 3pm. If you are one of our student or early career members, we want you to present your work to the world! Share your work and practice your communication skills, while describing your contribution to scientific knowledge.

    Participants will be required to submit their pitches in video format by 6 July  at 8pm AEST. Pre-recorded videos will be aired on event day. The audience and a panel of experts will judge the pitches and prizes will be awarded to the best pitches of the day.

    Who can participate?

    We strongly encourage students and early career members (i.e., within 5 years of graduation) to participate.


    • One participant can submit one video
    • The video can contain only two slides (refer to What we need from you)
    • Pitches must be 1 to 3 minutes long. We will cut off the video at three minutes!
    • Presentations are to be spoken word. No poems, videos or props are accepted.
    • Must be predominantly in English

    Time and date of event

    Video poster pitches will be aired Friday, July 10th at 3 pm AEST.

    What we need from you

    Participation is only open to SSA members (membership is only $20 a year for full time students!)

    Participants will need to submit their video by July 1. Their video should include:

    1)        Title slide: Include author’s full name, affiliations and contact email which attendees can contact you on.
    2)     Content slide: Create a landscape poster that creatively illustrates your research.

    Your content slide should explain your research and main outcomes, be concise and reader friendly, particularly given these posters will be presented in a video and virtual setting. Posters can be fitted as PDF slides in landscape format (120 cm wide x 90 cm high).

    Acceptable file types include .m4v or .mp4 formats. The video resolution should be 1920x1080.

    Where to submit your video

    Click here to fill out a brief form. You can either (a) directly upload your video using the form or (b) upload your video to Vimeo and submit the link in the space provided on the form. If you have any issues when submitting your form, email the YSN Chair Janan Arslan. Alternatively, you can message the YSN via Twitter.

    Submission Deadline

    Submit your pre-recorded video by July 6th at 8 pm AEST.

    Poster Pitch Judging Criteria

    What makes a good poster pitch?

    1)        The research problem and solutions presented should be clearly explained
    2)     The impact of the research is clearly described
    3)      The presentation follows a clear and logical sequence
    4)      The presentation is engaging and makes the audience want to know more
    5)      The presentation is accessible to a general audience and does not excessively include jargon
    6)      The poster presented can easily be viewed by the audience (i.e.information is not crammed, and text is readable)
    7)      The presenter is confident and demonstrates enthusiasm about their research topic

    Prior to event

    A Zoom link and Poster Pitch Presentation Program (i.e., highlighting which video has been allocated to which timeslot) will be sent shortly after 6 July. The order of presenters will be determined using a random allocation.

    What will happen on the day?

    All attendees will log on at the same time. The YSN Chair will moderate the event. Submitted videos will be played on the day. The order of the videos will be based on the Program sent prior to the event.

    A People’s Choice Award will be given based on the judgement of (a) attendees at the event who will vote on their favorite presentations via Zoom poll, and (b) our panel of judges. The winner and runner-up will be announced at the end of the event.

    We recommend attendees who have further questions regarding the content of a video email the presenter directly (using the email address presented in the title slide).


    The top two pitches as judged by the audience and the panel of experts will receive a certificate. The winner will receive a special slot to talk about their research at the Young Statisticians Conference on the Gold Coast in 2021, and their registration fees will be automatically waived. The runner-up will receive a one-year subscription to Significance.

    • 10 Jul 2020
    • 7:00 PM - 8:30 PM (UTC+10:00)
    • via Zoom, time is AEST


    Sick of spending another Friday evening at home? Craving some social interaction with your peers? Hungry for some fabulous Domino's pizza - for free?

    Let us entertain you. Join us for an evening of fun and games. Start planning your escape from our fabulous virtual Escape Room now!

    This event is open and free to all student and early career SSA members. If you are not a member of the SSA, please visit our Memberships section to sign up (students can join for $20!).

    Registration is required (click here to be directed to the form). You can register for the event (a) as a team, or (b) as an individual (and will be assigned to a team on the day of the event). Teams will consist of 3-4 people. Once you have completed the registration, you will receive a confirmation email that will include a Zoom link to the event.

    The first 40 registered individuals will receive a free Domino’s pizza voucher via email. Participants can use these vouchers to provide their dinner for the game night!

    Please review the schedule below. If you have any questions or concerns, please contact the YSN Chair via email or Twitter.

    Registration deadline: You need to be registered before 6pm on 6 July 2020 to be able to participate.

    We would like to thank Domino's for generously sponsoring this event.


    Before the event

    We recommend participants organise their pizzas before the event starts. This is a dinner and game night. Don’t be shy to eat your pizza during the event!

    BYO drinks.

    7:00 – 7:30 pm, Virtual Dinner and Introductions

    Once participants log in, the moderator will introduce themselves and outline how the event will run. Participants will then be divided into their respective breakout rooms; this will allow the participants to meet and connect with their teammates for the night before the game officially begins. During this time, teams should select a Captain. This person will be responsible for clicking the link to the Escape Room and sharing their screen with the rest of their teammates; this will ensure the team is working together from the one screen.

    7:30 – 8:25, The Games Begin!

    The link to the Escape Room will be sent via chat to all participants 5 minutes before the game officially begins at 7:30 pm! Teams will have 55 minutes to complete the allocated Escape Room. The Captain will act based on the responses of teammates (e.g., click here or there!). We anticipate that the Escape Room should prove challenging and take up the full 55 minutes. However, if you happen to be a group that completes the allocated Escape Room before the 55 minutes is up, the Captain should contact the moderator through the “Ask for help” button. The moderator will join the group momentarily to share a link to another Escape Room to complete. The fun only ends when the time is up!

    8:25 – 8:30 pm, Saying Goodbyes

    Attendees will be returned to the main room for a final goodbye before the event ends. A survey link will be sent to all attendees (~2-3 minutes to complete) so that we can receive feedback for the event. Please complete the survey when you can, as it will help us shape future SSA events.

    • 15 Jul 2020
    • 6:00 PM - 7:00 PM (UTC+09:30)
    • virtual Zoom meeting

    Branch Meeting - Wednesday, 15th July 2020

    The South Australian Branch of the Statistical Society would like to invite you to the July meeting of the 2020 program.

    Virtual Venue: Join the Zoom meeting using your PC or device
    Password: 762533

    or Join from dial-in phone line:  Dial: +61 2 8015 2088

    Meeting ID: 962 6150 4601

    Speaker: Dr Natalie Twine, Transformational Bioinformatics Group, CSIRO

    Topic: Unlocking the secrets in your DNA using machine learning and cloud-computing


    Genomics produces more data that Astronomy, twitter, and YouTube combined, having caused research in this discipline to leapfrog to the forefront of cloud technology. Dr. Natalie Twine provides an insider's view into the development of a Spark-based machine learning framework that is able to find disease genes in the 3 billion letter of the genome. She will also cover novel software, TRIBES, developed to uncover distant relatives based on their genome. Knowing relationship status is important for diagnosing and treating genetic diseases. Natalie will showcase how the technology has been used to understand and find treatments for motor neurone disease. Finally, Natalie will showcase hot-off-the-press cloud-native technology where CSIRO have advanced the COVID-19 response through digital health.


    Dr Natalie Twine is a research scientist and team lead in the transformational bioinformatics group at CSIRO. Her team focuses on developing software for population-scale genomics, leveraging cloud computing and big data technology. Natalie's research focuses on using such technology to understand the genetic basis of Motor Neurone Disease. She obtained her PhD in Bioinformatics from University of New South Wales and has previously worked at UNSW, Kings College London, and University College London.

    Feel free to forward this meeting notice to colleagues, all welcome.

    • 19 Jul 2020
    • (UTC+10:00)
    • 24 Jul 2020
    • (UTC+10:00)
    • Basque Center for Applied Mathematics (BCAM), Bilbao- Spain

    The 35th edition of the International Workshop on Statistical Modelling will be held in Bilbao, Basque Country (Spain) from 19 to 24 July 2020. It will be hosted by the Basque Center for Applied Mathematics (BCAM) and the University of the Basque Country (UPV/EHU). There will be a short course on "Bayesian spatio-temporal modeling" by Virgilio Gómez Rubio on 19 July followed by the main meeting 20-24 July.

    The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense, involving both academic and professional statisticians and data analysts. Since its first edition, the spirit of the workshop has always been to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.

    The atmosphere of the workshops is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling. As a sign of positive feedback the IWSMs report many returning participants.

    Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.

    • 20 Jul 2020
    • 9:00 AM (UTC+10:00)
    • 21 Jul 2020
    • 12:30 PM (UTC+10:00)
    • Online

    Statistical Society of Australia warmly invites you to a workshop on machine learning with Python, presented by a data scientist from Eliiza (to be announced).

    Workshop content

    Day 1 Getting Started with Machine Learning

    This is a hands-on course for making predictive models using machine learning.

    We will use Python libraries such as pandas and scikit-learn to analyse a dataset and make a predictive model.  We will then discuss ideas such as the bias-variance tradeoff for improving machine learning models and apply it to the models built earlier. Throughout the workshop you will program a sequence of Jupyter notebooks and gain experience in working with data in Python. The workshop will conclude with a discussion of how to deploy machine learning models into real world systems.

    At the end of this module you will be able to:

    • Use the Python libraries pandas and numpy to import and manipulate data.
    • Use scikit-learn to construct linear and tree-based models.
    • Know the difference between classification and regression.
    • Evaluate a predictive model with appropriate metrics and plots.
    • Improve a machine learning model using hyperparameter tuning.

    9 am–12:30 pm

    Presenter: a data scientist from Eliiza (to be announced)

    Day 2 Introduction to Deep Learning

    This workshop will teach you how to use the TensorFlow 2.0 framework to construct neural networks and apply them to tasks such as image recognition.

    Neural networks are a family of machine learning models that can take data in a wide variety of formats and learn non-linear patterns in data by training millions of parameters simultaneously. Neural networks, also known as “Deep Learning”, have become more popular since they were used to win the 2012 ImageNet Challenge. 

    The workshop will cover:

    • Use the Python libraries pandas and numpy to import and manipulate data.
    • Use scikit-learn to construct linear and tree-based models.
    • Know the difference between classification and regression.
    • Evaluate a predictive model with appropriate metrics and plots.
    • Improve a machine learning model using hyperparameter tuning.

    9 am–12:30 pm

    Presenter: a data scientist from Eliiza (to be announced)


    Day 1

    09:00 10:30 (1.5 hours)

    Session 1

    10.30 11:00

    Break / networking over virtual morning tea

    11:00 12:30 (1.5 hours)

    Session 2


    End of first day

    Day 2

    09:00 10:30 (1.5 hours)

    Session 1

    10.30 11:00

    Break / networking over virtual morning tea

    11:00 12:30 (1.5 hours)

    Session 2


    End workshop


    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.

    Financial Support:

    Financial support for SSA Vic members can be sought. For further information, please see:


    Please contact the organisers: Rheanna Mainzer (, Anna Quaglieri (, and Patrick Robotham ( for further details.

    • 21 Jul 2020
    • 6:00 PM - 7:00 PM (UTC+10:00)

    Details to come.

    • 24 Jul 2020
    • 9:00 AM (UTC+10:00)
    • 27 Jul 2020
    • 12:30 PM (UTC+10:00)
    • Online

    Statistical Society of Australia warmly invites you to a workshop on Julia for Statistics and Data Science, presented by Yoni Nazarathy (The University of Queensland).

    Workshop content

    Day 1

    From Hello World to GLMs 

    Friday July 24, 9am – 12:30pm (with working breaks in between)

    Presenter: Yoni Nazarathy (The University of Queensland)

    In this session we’ll cover basic usage of Julia as a scientific and statistical programming language. We will use both Jupyter notebooks (IJulia) and the Juno IDE (Julia Pro). After briefly introducing the principles of Julia, we’ll outline the basics of the language including types, multiple dispatch, control flow, using packages and environments, working with files, basic data structures, and data frames. We’ll use Plots.jl and StatsPlots.jl for plotting as well as functions from StatsBase.jl, Distributions.jl, and a few other useful packages. We’ll then carry out standard GLM model fitting using GLM.jl as well as basic linear algebra operations

    The session assumes a statistical audience that has used a similar language (R or Python). Examples from the Statistics with Julia DRAFT book will be used as well as shorter one-liners. To get maximal benefit, it is recommended that attendees have Julia installed prior to the meeting. A YouTube video outlining how to install Julia, the Juno IDE, and Jupyter will be released prior. 

    The session will be broken up into 5 sections each of length 40 minutes. In each sub session, the instructor will present for 25 minutes and then allow for individual (guided) work for 15 minutes. It is recommended that in addition to taking a break, the attendees use the 15 individual minutes to explore the fresh content from that section independently (asking for help as needed). 

    Day 2

    Further Julia from GLM via Dynamic Models to Flux.j

    Monday July 27, 9am – 12:30pm (with working breaks in between)

    Presenter: Yoni Nazarathy (The University of Queensland)

    This session starts by first running through all of the basic language constructs that were overviewed in the previous session, but with a bit more detail. We then cover some basic experiments with elementary classic statistical inference. We then cover a few basic further examples including clustering, PCA, ridge regression, and Lasso. We continue onto deep learning where we create a basic example using Flux.jl.

    Similar to the first session, this session is broken up into 5 sections each of length 40 minutes.

    Note that the annual JuliaCon (free and virtual this year) will take place in the same week, two days after this session. Attendees to the workshop are encouraged to attend Julia Con as well.


    Both sessions (days) start at 9am and finish at 12:30 pm. This is 210 minutes. There are five sections per session with each session involving 25 minutes of instructor presentation and 15 minutes of self work (and individual breaks as needed). There are 10 minutes spare at the end for discussion and farewell.

    Sections will start at 9:00, 9:40, 10:20, 11:00, and 11:40.

    Instructor Bio

    Associate Professor Yoni Nazarathy from the School of Mathematics and Physics, specializes in data science, probability, and statistics. His specific research interests include scheduling, control, queueing theory, and machine learning. He has been at UQ for nearly a decade, teaching courses at UQ’s Masters of Data Science program and working on research. Prior to his previous academic positions in Melbourne and The Netherlands, he worked in the aerospace industry in Israel. In recent years, he has also been heavily involved with primary and secondary mathematics education and is the co-founder of an EdTech mathematics organizations called One on Epsilon. Also, he is the co-author of an introductory data science book with a draft available online: Statistics with Julia.

    Like many other mathematics and physics academics, he took great interest in epidemics at the start of COVID-19 and in addition to his co-authored Safe Blues program, he co-organizes a weekly pandemic (Zoom) seminar at the School of Mathematics and Physics.


    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.

    Financial Support:

    Financial support for SSA Vic members can be sought. For further information, please see:


    Please contact the organisers: Rheanna Mainzer ( and Daniel Fryer ( for further details.

    • 24 Jul 2020
    • 1:00 PM - 2:00 PM (UTC+10:00)
    • via Zoom, time stated is AEST

    The Statistical Society of Australia is pleased to announce the following webinar, exclusively for members of SSA and NZSA (residing outside Australia):

    Writing successful fellowships

    • When: Friday, 24 July  2020, 1:00 PM – 2:00 PM (AEST)
    • Location: via Zoom, check local time

    About this webinar

    Success rates for fellowship applications are plummeting, but success is not impossible! This interactive panel-style webinar will feature brief presentations from three past/current SSA presidents: Distinguished Professor Kerrie Mengersen (ARC Laureate), Professor Scott Sisson (ARC Future Fellow) and Professor Adrian Barnett (NHMRC Fellow), followed by an extended discussion and question time. Gain knowledge and inspiration to help optimise your chances!

    About the presenters

    Kerrie Mengersen is a statistician and Director of the Centre for Data Science at Queensland University of Technology. She is Deputy Director of the ARC Centre for Mathematical and Statistical Frontiers: Big Data, Big Models and New Insights (ACEMS). Kerrie is an elected Fellow of the Australian Academy of Science, the Australian Social Sciences Academy, and the Queensland Academy of Arts and Sciences. As an ARC Laureate Fellow, she works on the development and application of methods for using diverse types of data to learn about complex systems and problems in health, the environment and industry. She is currently working with international teams to use data science to gain insights into national and international dynamics of covid-19.

    Scott Sisson is Professor and ARC Future Fellow in Statistics at UNSW Sydney. He is currently Director of the UNSW Data Science Hub, and a Deputy Director of ACEMS. Scott's research mostly comprises playing with computers until something interesting happens.

    Adrian Barnett has a BSc and Phd in Statistics. He has 22 years' experience working as an applied statistician in health. He has won independent funding as a statistician, including (ironically) funding to investigate the funding process. He publishes papers in health with clinical colleagues, but also leads his own research projects in the area of meta-research, which uses research to examine the research process. He's worked for drug companies, the UK Medical Research Council and universities. He is the current president of the Statistical Society of Australia.

    To register

    This event is free but you will need to register. After registering, you will receive a confirmation email containing information about joining the meeting.

    The webinar will be recorded and made available on the webinar page of the SSA website in due course.

    This event is open to members of SSA and NZSA only. Membership of SSA is available here. Membership of NZSA is available here. Members of NZSA: to register for this event please email proof of your NZSA membership (membership payment receipt) to and you will be registered by our Executive Officer.

    If you have any questions, please contact Marie-Louise Rankin.

    Cancellation Policy

    Our Guarantee
    Our goal is to provide truly exceptional offerings and service, and we won't be happy until you are. If any programs, products or services of SSA do not fulfill our promise, we will make the situation right.

    Event Cancellation or Postponement
    SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and, if applicable, registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances. If a cancelled event cannot be rescheduled, SSA will determine an equitable basis for the refund of the registration fees.

    Consent to Use of Photographic Images
    Registration and attendance at, or participation in, SSA meetings and other activities constitutes an agreement by the registrant to the use and distribution of the registrant or attendees' image or voice in photographs, videotapes, electronic reproductions and audiotapes of such events and activities by SSA and other third parties, including but not limited the venue, the host city and the host Convention and Visitor Bureau.

    • 28 Jul 2020
    • 9:00 AM (UTC+10:00)
    • 29 Jul 2020
    • 12:30 PM (UTC+10:00)
    • Online
    • 0
    Registration is closed

    [UPDATE 03/07] Thank you for your interest. This workshop is now fully booked out. Please put your name on the waiting list in case for cancellations. We will re-run this workshop in November (details to come) and will notify you if you cannot get a spot for the July workshop. 


    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 (on Day 1) will teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package. In addition, the workshop (on Day 2) 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 focussing 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:

    Day 1 is suitable for those who know R but are not familiar or comfortable with using ggplot2 or would like a refresher on ggplot2. 

    Day 2 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:

    Day 1: 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

    Day 2: 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.  


    Day 1

    • 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

    Day 2:

    • Day 1 requirements

    • Completed Day 1 OR know basic ggplot2


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

    • Some familiarity with tidyverse


    Day 1

    09:00 10:30 (1.5 hours)

    Session 1

    10.30 11:00

    Break / networking over virtual morning tea

    11:00 12:30 (1.5 hours)

    Session 2


    End of first day

    Day 2

    09:00 10:30 (1.5 hours)

    Session 1

    10.30 11:00

    Break / networking over virtual morning tea

    11:00 12:30 (1.5 hours)

    Session 2


    End workshop


    Early Bird registration closes on 7 July 2020. Regular registrations close on midnight on 21 July 2020.


    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.

    Financial Support:

    Financial support for SSA Vic members can be sought. For further information, please see:

    Cancellation policy:

    Cancellations received prior to 21 July 2020 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


    Please contact the organisers: Rheanna Mainzer (, Lidija Turkovic (, and Emi Tanaka ( for further details.

    • 28 Jul 2020
    • 6:00 PM - 7:00 PM (UTC+10:00)
    • Virtual via Zoom


    From 6pm and concluding by 7pm: Presentation on Zoom

    Virtual pre-drinks and nibbles are provided, but they don't taste as good as the real thing!

    Register in advance for this meeting

    Register in advance for this meeting: After registering, you will receive a confirmation email containing information about joining the meeting.

    Any questions, please feel free to contact  

    SpeakerMarcus Suresh (Department of Industry, Science, Energy and Resources)

    Topic: Sharpening the BLADE - Missing Data Imputation using Supervised Machine Learning

    Abstract:  Incomplete data are quite common which can deteriorate statistical inference, often affecting evidence-based policymaking. A typical example is the Business Longitudinal Analysis Data Environment (BLADE), an Australian Government’s national data asset. In this paper, motivated by helping BLADE practitioners select and implement advanced imputation methods with a solid understanding of the impact different methods will have on data accuracy and reliability, we implement and examine performance of data imputation techniques based on 12 machine learning algorithms. They range from linear regression to neural networks. We compare the performance of these algorithms and assess the impact of various settings, including the number of input features and the length of time spans. To examine generalisability, we also impute two features with distinct characteristics. Experimental results show that three ensemble algorithms: extra trees regressor, bagging regressor and random forest consistently maintain high imputation performance over the benchmark linear regression across a range of performance metrics. Among them, we would recommend the extra trees regressor for its accuracy and computational efficiency.

    Link to paper:

    Biography:  Marcus is a Data Scientists and Economist in the Analysis and Insights Division(AID) at the Department of Industry, Science, Energy and Resources (DISER) and a former Visiting Scientist at CSIRO - Data61. He specialises in applying data science techniques to structured and unstructured data to support the advancement of public policy at DISER.

    Marcus has a wealth of experience across several Commonwealth Government agencies. He started his career as an Economist at the Commonwealth Treasury where he worked on Financial Market and Taxation policy before joining the Department of Education and Training where he provided economic advice to support the then Government’s Higher Education Reform Bill. Marcus was seconded to the Department of Prime Minister and Cabinet’s, Behavioural Economics Team of the Australian Government (BETA) and co-authored a randomised control trial with the ATO to investigate the effects of behavioural treatments at driving improved compliance with the Deferred GST Scheme.

    Marcus is a Master of Data Science candidate at the University of Sydney and holds a Master of Public Policy (Economic Policy) from the ANU and Bachelor of Economics(Hons) and Commerce from Murdoch University. His research interests are in computer vision and natural language processing.

    Website link:

    • 24 Aug 2020
    • (UTC+10:00)
    • 26 Aug 2020
    • (UTC+10:00)
    • Gold Coast, Australia

    Imagine the benefit you would get from joining a group of 50 peers - who share your biggest challenges - to share stories, network and exchange mission critical information you won’t get anywhere else. Here’s a taste of what you can expect to learn about at the Data & Analytics Leaders Exchange:

    - Developing An Enterprise-Wide Data Governance Strategy And Architecture
    - Enabling Data-Driven Decision Making Across The Business
    - Building Organisational Capability For Advanced Analytics
    - Attracting, Retaining, And Up-Skilling Staff For Digitalisation And Technological Developments
    - Maintaining Compliance With GDPR
    - Improving Business Function By Effectively Leveraging Data Insights

    Request an invite


    • 28 Sep 2020
    • (UTC+02:00)
    • 29 Sep 2020
    • (UTC+02:00)
    • Strasbourg, France

     The Centennial of the International Mathematical Union

    As you may know, the IMU was founded in September 1920 in Strasbourg, France. On  the occasion of the centennial of the IMU, we are organizing the conference               

     Mathematics without Borders
    The Centennial of the International Mathematical Union

    You are cordially invited to participate in this conference. We will get back

    with further information regarding registration, accommodation, etc as

    soon as it is available. 


    • 30 Sep 2020
    • 9:00 AM - 5:00 PM (UTC+08:00)
    • Perth

    UPDATE: We are currently exploring the format and pricing of this meeting due to the COVID-19 situation. Registration is therefore temporarily disabled.

    Don’t miss out on your chance to meet other young statisticians and leading members of WA’s statistical and data science community. Speakers from industry and academia.

    Young Statisticians are invited to submit an abstract to present a short talk or poster on your research with statistics to win prizes! Please send your queries to

    • 2 Dec 2020
    • (UTC+11:00)
    • 4 Dec 2020
    • (UTC+11:00)
    • Sydney, Australia

    The Australian Consortium of Social and Political Research Incorporated (ACSPRI) will host it's 7th Social Science Methodology Conference on the 2nd to 4th of December at The University of Sydney.

    A unique feature of this conference is that it is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts.

    The conference is organised around four themes:

    1. Research paradigms and designs;
    2. Research methods and techniques;
    3. Research technology and tools;
    4. Datasets, data collections and data archiving.

    There will be two types of submissions considered:

    1. Presentations where an abstract is reviewed (abstract in the conference proceedings).
    2. Posters - including a student poster competition (abstract in the conference proceedings).

    More details will appear on the conference website soon. 

    • 5 Jul 2021
    • 8:00 AM (UTC+10:00)
    • 9 Jul 2021
    • 6:00 PM (UTC+10:00)
    • Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

    Welcome to the 
    ANZSC 2021 Conference

    The organising committee warmly invites you to the 2021 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 5th to the 9th of July 2021.

    This conference brings together four leading statistical communities in the region – the Statistical Society of Australia, the New Zealand Statistical Association, the International Institute of Business Analysis (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.

    The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.

    Information on Keynote Speakers and the Conference program will be available shortly so watch this space for updates.

    The conference will be held at the Gold Coast Convention and Exhibition Centre (GCCEC) situated in the heart of the Gold Coast. From GCCEC, Surfers Paradise (the social hub of the Gold Coast) is 5km to the North, the Star Casino and Pacific Fair are immediately to the South (the largest regional shopping and dining destination in Queensland), the beach (Broadbeach) is just ten minutes walk, and the Broadbeach restaurant complex is immediately to the East (short 5 minutes walk). Social tours can easily be made to the rainforest (such as Tambourine National Park and World Heritage-listed Lamington National Park), to places of Aboriginal Indigenous significance, to Stradbroke Island, and to Australia’s greatest theme parks.

    ANZSC2021 promises to be a truly amazing experience on both a professional and a social level.

    Please check out the official conference website and register your interest here.

    We look forward to seeing you on the Gold Coast in 2021!

    • 11 Jul 2021
    • (UTC+10:00)
    • 15 Jul 2021
    • (UTC+10:00)
    • The Hague, The Netherlands

    The 63rd ISI World Statistics Congress will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting environment.

    The inspiring and interactive programme will provide the platform to learn about the latest developments in statistical research and practice in an informal ambiance. A series of short courses, satellites and other events completes the WSC programme.

    • 27 Sep 2021
    • (UTC+10:00)
    • 28 Sep 2021
    • (UTC+10:00)
    • Strasbourg, France

    Mathematics without Borders

    The Centennial of the International Mathematical Union         

    celebrates the centennial of this historic event.  Up-to-date information regarding the conference can be found here

    • 27 Jun 2022
    • (UTC+10:00)
    • 1 Jul 2022
    • (UTC+10:00)
    • Darwin, Australia

    The inaugural

    Joint Southern Statistical Meetings 2022

    will be held in Darwin from 27 June – 1 July 2022.

    This conference will bring together the leading statistical communities in the region to provide a forum for researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    To be kept up to date with our conference planning, please email your details to

    We invite regional associations to contact us with expressions of interest to be part of this event. If you would like to sponsor JSSM2022 please get in touch as well.

    See you in Darwin in 2022! 

    • 6 Jul 2022
    • (UTC+10:00)
    • 14 Jul 2022
    • (UTC+10:00)
    • 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

    • 10 Jul 2022
    • (UTC+10:00)
    • 15 Jul 2022
    • (UTC+10:00)
    • Riga, Latvia

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

Past events

1 Jul 2020 Workshop of the 20th International Conference on Computational Science and Applications
30 Jun 2020 Beyond Beamer: Joint SSA Canberra/NSW + RLadies Meeting
26 Jun 2020 SSA Course: P-values and the normal assumption in scientific research.
23 Jun 2020 SSA Vic Mentoring Evening
22 Jun 2020 7th International Statistical Ecology Conference- external event
19 Jun 2020 Webinar: Getting to know our “cell mates”: A practical approach to microbiome analysis through a biostatistician’s lens.
17 Jun 2020 SA Branch webinar - Dr Oscar Perez-Concha
16 Jun 2020 Queensland branch meeting: Leveraging statistical shapes in genomics, looking beyond what’s Normal
10 Jun 2020 Webinar: Inquiry into the performance of the opinion polls at the 2019 Australian Federal Election – Update of progress made by the enquiry
9 Jun 2020 WA branch seminar - Dr Brenton R Clarke
5 Jun 2020 Seminar: Inferring genetic linkage maps from high-throughput sequencing data
2 Jun 2020 Queensland Branch meeting: "MIGHTY MAPS: Showcasing estimate uncertainty"
28 May 2020 Virtual Coffee - Member Catch Up and Discussion
27 May 2020 Webinar: A short overview into “how to make a learning healthcare system work”: from linking data, machine learning to ethics
27 May 2020 Queensland Branch Meeting: Searching for dark matter and new physics with GAMBIT
26 May 2020 Raising Heretics: Teaching effective scepticism using data science
21 May 2020 Data Collection in a time of multiple crises: The social research response to COVID-19, bushfires, and drought
19 May 2020 Trivia Night via Zoom, hosted by SSA Victoria
19 May 2020 Short Course: Study Design
12 May 2020 WA Young Statisticians Meeting
12 May 2020 Short Course: Introductory Statistics for Researchers
8 May 2020 SSA seminar: Jim Thorson (NOAA), Forecasting nonlocal climate impacts for mobile marine species using extensions to empirical orthogonal function analysis
4 May 2020 Short Course: Introduction to R
30 Apr 2020 Virtual Coffee - Member Catch Up and Discussion
28 Apr 2020 Vic Branch – COVID-19: modelling and public health policy
22 Apr 2020 SA Branch Meeting - Dr Murthy Mittinty
16 Apr 2020 Webinar: Learning about Covid-19 Known Unknowns: the essential role of statisticians
14 Apr 2020 WA Branch Meeting - Assoc/Prof Rachel Cardell-Oliver
31 Mar 2020 Vic Branch – Measuring Well-being
31 Mar 2020 SSA Vic AGM
26 Mar 2020 NSW Branch: AGM + Lancaster Lecture
25 Mar 2020 SA Branch Annual General Meeting
20 Mar 2020 SSA Webinar: Tales of an Applied Statistician
10 Mar 2020 WA Branch AGM and Meeting - Mark S. Handcock
5 Mar 2020 Bayesian Adaptive Randomised Clinical Trials Workshop
3 Mar 2020 Queensland Branch AGM 2020
27 Feb 2020 Bayesian Adaptive Randomised Clinical Trials Workshop
21 Feb 2020 Webinar: Statistical Machine Learning for Spatio-Temporal Forecasting
19 Feb 2020 SA Branch Meeting - Prof Omer Ozturk
7 Feb 2020 SSA Webinar: Do we die of only one cause?
11 Dec 2019 rOpenSci OzUnconf 2019 - external event
10 Dec 2019 Vic Branch – We all count: Strengthening stats and maths through diversity
9 Dec 2019 UQ Institute for Social Science Research: Longitudinal Data Analysis Course
6 Dec 2019 E. A. Cornish Memorial Lecture - SA Branch Meeting
6 Dec 2019 South Australia Biostatistics Networking
6 Dec 2019 SA Cornish Lecture
4 Dec 2019 UNSW Biostatistics Seminar
4 Dec 2019 Bayesian adaptive trials workshop - external event
3 Dec 2019 Webinar: Communicating risk and uncertainty with Sir David Spiegelhalter
3 Dec 2019 Queensland branch Xmas event
3 Dec 2019 Introduction to Python for Data Science - external event
3 Dec 2019 Biometrics by the Botanic Gardens 2019 - external event
2 Dec 2019 17th Australasian Data Mining Conference (AusDM’19) - external event
1 Dec 2019 Workshops at Biometrics by the Botanic Gardens 2019 - external event
29 Nov 2019 Data Science and Social Good Symposium - external event
28 Nov 2019 WOMBAT 2019
26 Nov 2019 WA Branch: End of year dinner
26 Nov 2019 Sample Size and Power Calculations - external event
26 Nov 2019 UQ Institute for Social Science Research: Social Cost-Benefit Analysis Course - external event
25 Nov 2019 CPD95 - Bayes on the Beach 2019
21 Nov 2019 Workshop: Pragmatic randomised trial designs for evaluating health policy and practice change interventions - external event
19 Nov 2019 CPD108 - R skills workshops: Building R packages and R Markdown
19 Nov 2019 UQ Institute for Social Science Research: Gathering Qualitative Data Course - external event
19 Nov 2019 Bayesian Logistic Regression in Practice, using R or Autostat - External Event
18 Nov 2019 Webinar: Modelling Molecule Dropout in single cell RNA-seq Experiment Leads to Improved Identification of Marker Genes
18 Nov 2019 CPD107 - Machine Learning with Python
13 Nov 2019 NSW Branch: Annual Dinner
13 Nov 2019 NSW Branch: Annual Lecture by Prof Ian Marschner
13 Nov 2019 NSW Branch: J. B. Douglas Awards
13 Nov 2019 UQ Institute for Social Science Research: Essential Social Analysis Skills Course - external event
13 Nov 2019 NSW Branch: J.B. Douglas Awards Sponsorship
12 Nov 2019 WA Branch meeting: Prof Cathryn Lewis – Hansford-Miller Fellow 2019
12 Nov 2019 Time Series & Forecasting Symposium (TSF2019), Sydney - external event
8 Nov 2019 UQ Institute for Social Science Research: Program Evaluation Course
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
5 Nov 2019 WA Branch Young Statisticians: Meet up with Professor Cathryn Lewis (2019 Frank Hansford-Miller Fellow)
5 Nov 2019 Queensland Branch meeting - November
4 Nov 2019 CPD97- Network meta-analysis and population adjustment for decision-making - CPD97
31 Oct 2019 Vic Branch – Belz Dinner
31 Oct 2019 Vic Branch – Statistics is the Crown Jewel of Data Science (Belz Lecture)
28 Oct 2019 Webinar: An introduction to business analytics beyond statistical analysis
23 Oct 2019 SA Branch Meeting: Dr David Baird VSN NZ Ltd
21 Oct 2019 NSW Branch: October Event by Prof Elizabeth Stuart
21 Oct 2019 B&B Networking Event
21 Oct 2019 CPD105 - Propensity score methods for estimating causal effects in non-experimental studies: The why, what, and how
9 Oct 2019 SSA NSW Young Statisticians & Data Scientist Careers Networking
8 Oct 2019 WA Branch: Displaying Uncertainty and Risk - Dr John Henstridge
3 Oct 2019 Randomization, Bootstrap and Monte Carlo Methods in Biology - external event
1 Oct 2019 SSA-Event: YSC2019 Dinner - Kingston Hotel
1 Oct 2019 Queensland branch meeting: Automated Technologies for Systematic Review & Meta-Analysis
1 Oct 2019 SSA-Event: Young Statisticians Conference 2019
30 Sep 2019 CPD102 - SSA Canberra/YSC Event: Pre-Conference Trivia Night!
30 Sep 2019 CPD98- Communicating with R Markdown
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD101- Mediation Analysis Using Potential Outcome Framework
26 Sep 2019 SA Branch Meeting: Peter Kasprzak
24 Sep 2019 NSW Branch: A notion of depth for curve data by Dr Pierre Lafaye de Micheaux
24 Sep 2019 Vic Branch – Young Statisticians Showcase 2019
23 Sep 2019 CPD106- Advanced R skills: Introduction to Shiny and Building R Packages
17 Sep 2019 SSA Webinar with Noel Cressie: Inference for Spatio-Temporal Changes of Arctic Sea Ice.
10 Sep 2019 WA Branch Meeting - Matt Schneider
5 Sep 2019 Applied Statistics and Policy Analysis Conference, 2019 - external event
3 Sep 2019 Queensland Branch meeting: Shiny showcase
28 Aug 2019 SA Branch Meeting - Dr Kathy Haskard
27 Aug 2019 Vic Branch – Detecting botnet activity using machine learning
20 Aug 2019 Talk on the QUT Digital Observatory
19 Aug 2019 Oceania Stata Conference - external event
18 Aug 2019 ISI 2019 – 62nd ISI World Statistics Congress - external event
13 Aug 2019 WA Branch Meeting - Joint IBS and SSA - Suman Rakshit
7 Aug 2019 SA Young Statisticians' Career Event
7 Aug 2019 2019 International Conference and Workshops on Survey Research Methodology - external event
6 Aug 2019 NSW Branch: Gender and Cultural Bias In Student Evaluations of Teaching at Universities by A/Prof Yanan Fan
24 Jul 2019 SA Branch Meeting - Dr Murthy N Mittinty
24 Jul 2019 The Research School on Statistics and Data Science 2019 (RSSDS2019) - external event
18 Jul 2019 Vic Branch - Tutorial on sequential Monte Carlo methods in statistics
18 Jul 2019 Minitab Insights Event Australia - external event
17 Jul 2019 Statistical Tools for the Pharmaceutical Industry - external event
9 Jul 2019 (Cancelled) WA Branch Meeting
9 Jul 2019 SSA-QLD Career Seminar: Lead With Statistics
7 Jul 2019 34th International Workshop on Statistical Modelling (IWSM2019) - external event
4 Jul 2019 Gaining skills in biostatistical consultancy- CPD94
3 Jul 2019 R skills workshops: R Markdown and Building R packages
2 Jul 2019 Tutorial on Sequential Monte Carlo methods in Statistics
1 Jul 2019 Computational and Applied Statistics (CAS 2019) - external event
30 Jun 2019 42nd Mathematics Education Research Group of Australasia (MERGA) Conference 2019 - external event
28 Jun 2019 Semiparametric regression with R - CPD99
26 Jun 2019 SA Meetup event: What went wrong with the polls? Do statisticians have a role to play?
25 Jun 2019 Vic Branch - Mentoring Breakfast
19 Jun 2019 Systematic reviews & meta-analysis of prognosis studies
11 Jun 2019 WA Branch Meeting - Dr Adriano Polpo - Hypothesis Tests: Using Adaptive Significance Levels for Decisions
11 Jun 2019 Data science helping to create a better justice system - an ACEMS Public Lecture at UTS
29 May 2019 SA Branch Meeting - Dr Beben Benyamin & Dr Ang Zhou
28 May 2019 Vic Branch – A recipe for quantifying the impact of prevention
28 May 2019 ICORS-LACSC 2019 - external event
16 May 2019 Fast algorithms and modern visualisations for feature selection - CPD96
14 May 2019 WA Branch Meeting - Young Statisticians Meeting
7 May 2019 QLD branch - Multimorbidity: Measurement for Health related Quality of Life and Health service use
7 May 2019 Chief Data & Analytics Officer Exchange - external event
4 May 2019 Data Day- Melbourne - external event
2 May 2019 Data Day- Sydney - external event
30 Apr 2019 Vic Branch – Reproducibility and Open Science
29 Apr 2019 Spatio-Temporal Statistics with R
17 Apr 2019 SA Branch Meeting - Professor Michael Sorich
9 Apr 2019 WA Branch Meeting - Prof Inge Koch
19 Mar 2019 Vic Branch – AGM + Statistics with industry: demonstrating impact
11 Dec 2018 Queensland Xmas Party
26 Sep 2018 Young Statisticians’ Workshop 2018
25 Sep 2018 Urban Modelling and Understanding with Machine Learning
11 Sep 2018 Young Statistician Careers Seminar
5 Sep 2018 Workshop: Semiparametric Regression with R with Matt Wand
28 Aug 2018 SSA Biostatistics Networking Event
26 Aug 2018 International Society for Clinical Biostatistics and Australian Statistical Conference 2018

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