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Upcoming events

    • 26 May 2020
    • 6:00 PM (UTC+10:00)
    • Online, via Zoom

    A public lecture by Dr Linda McIver


    Much of our Science, Technology, Engineering and Mathematics (STEM) education starts from a foundation of facts and known answers. This teaches our kids that the point of STEM is to Get The Right Answer, whereas the best thing about STEM disciplines is actually fixing things and solving problems. In this talk I will show how ADSEI is dedicated to raising Heretics, and why Heresy is something we desperately need right now, both in the data science industry and the world as a whole.

    Brief bio:

    Dr Linda McIver is the Founder and Executive Director of the Australian Data Science Education Institute (ADSEI), a registered charity dedicated to ensuring that all Australian students have the chance to learn data science and data literacy skills in the context of authentic projects with real impact. Linda has a PhD in computer science education, and extensive experience teaching at both tertiary and secondary levels. Through ADSEI, Linda now creates engaging data science projects to empower students to use technology and data science skills to make positive change in their own communities.

    Zoom link:

    The link for the Zoom session will be made available via email, upon registration.

    • 27 May 2020
    • 3:30 PM (UTC+10:00)
    • Via Zoom, please register to get the link

    I will describe GAMBIT, the Global and Modular Beyond-the-Standard-Model Inference Tool, and a few of its key results so far. GAMBIT is a large-scale computational framework and 60-person collaboration of physicists, astronomers, statisticians and computer scientists, designed for composite likelihood analysis of different theories for the identity of dark matter and new particles. It includes detailed likelihoods and prediction calculations for signals at experiments ranging from the Large Hadron Collider to gamma-ray and antimatter telescopes, direct dark matter searches in deep mines, and a neutrino telescopes embedded in the Antarctic ice sheet, as well as an extensive suite of sampling algorithms.

    Biography: Pat is a particle and astroparticle phenomenologist. He likes to stick his nose into particle theory and experiment, cosmology, solar and stellar physics, high energy astrophysics, statistics, computational physics, supercomputing and other things - usually two or three at a time. He leads the GAMBIT Community, a bunch of 60-odd other like-minded types from all over particle and astrophysics, stats and computer science. Pat moved to UQ in September 2019 as a Senior Lecturer in the Astrophysics Group, and will be starting as an ARC Future Fellow this month. Before moving to UQ, he was an Ernest Rutherford Fellow and Senior Lecturer in the Fundamental Physics Section at Imperial College, a Banting Fellow in the High Energy Physics Theory group at McGill University, a PhD student in the Cosmology, Astroparticle Physics and String Theory Group at the Oskar Klein Centre in Stockholm, and an Honours student at the Mt Stromlo Observatory at ANU.

    • 27 May 2020
    • 5:00 PM - 6:00 PM (UTC+10:00)
    • via Zoom, time stated is AEST
    • 192

    The Biostatistics and Bioinformatics Section has an exciting international speaker, Katrien Groenhof from the Netherlands, delivering a webinar for SSA members this month.

    Title: A short overview into “how to make a learning healthcare system work”: from linking data, machine learning to ethics 

    Date: Wednesday 27th May,  5pm AEST


    In current day practice, healthcare professionals are set up with the almost impossible task to translate the daily growing amount of evidence and combine it with all clinical parameters from their patients to what is best.On top of that, value improvement in healthcare is emerging as a response to the growing healthcare costs. The complex balance between multimorbidity, polypharmacy, and potential harms and benefits of interventions, makes care nowadays prone to off label treatment and non-adherence to guidelines, potentially leading to more preventable risk and disease in patients. This sparked the interest into a care system that better integrates clinical practice and evidence: a Learning Healthcare System. A Learning Healthcare System is a continuous cycle of data collection (from routine clinical care in the EHRs), data analysis, interpretation of results, and feedback of potential improvements for patients, healthcare professionals, and policymakers, and implementation of improvements. Using the example of cardiovascular risk management, I will give an overview on how routine care data can be used to improve care, how linkage of data sources is important (and how to do this), and what challenges and pitfalls we encountered.

    Please feel free to email me if you have any burning questions in advance you would like to see answered (, I will try to squeeze those into the presentation right away. But I will also make sure to have enough time for questions and discussion. Looking forward to “meet” you!


    Katrien Groenhof is about to obtain her PhD in epidemiology (defense date postponed due to corona virus measures) after she worked 3 years at the Julius Center for Health Sciences and Primary Care of the University Medical Center Utrecht under supervision of Prof. dr. M.L. Bots, Prof. dr. F.W. Asselbergs, Dr. A.T. Lely, and Dr. S. Haitjema. Her PhD thesis focusses around the development of a learning healthcare system for cardiovascular risk management. This project connects all care professionals involved in cardiovascular care, but also connects different fields of expertise: from clinicians to hard core data scientists. Katrien combined her PhD trajectory with the Postgraduate Master in Epidemiology at Utrecht University, specializing in clinical epidemiology. She was granted the Frits the Waard Penning for original and outstanding research in epidemiology for her work on cardiovascular risk factor trajectories after hypertensive disorders of pregnancy in 2019. As learning is an essential value to her research, so it is to Katrien as a medical professional: she participated in many teaching activities for medical students and the junior epidemiology association and obtained her Basic Teaching Qualification (BKO) in 2019. She now works as a resident in obstetrics and gynecology in Meander Medical Center Amersfoort and still really enjoys to bring questions from “the field” to the “scientific bench”, solving questions that might directly improve daily care.

    To register

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

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

    Would you please note that the times stated are AEST? 

    • 28 May 2020
    • 11:00 AM - 12:00 PM (UTC+10:00)
    • via Zoom - time stated is AEST

    Our first virtual Coffee Catch Up went so well that we are doing it again!

    Grab your favourite beverage and join other members and myself for a virtual coffee catch up on

    Thursday, 28 May 2020, 11am AEST.

    This will be a casual get-together where going off-topic is actually encouraged!

    I will be facilitating the meeting and I look forward to discussing how you have dealt with the challenges thrown at you with COVID-19.

    To register for our virtual catch-up please click here. Once you have registered, you will receive a confirmation email with the Zoom link for the meeting. 

    I look forward to speaking with many of our members next week!

    Until then, stay safe.

    Marie-Louise Rankin
    Executive Officer

    • 2 Jun 2020
    • 4:00 PM (UTC+10:00)
    • Zoom link will be sent on registration

    MIGHTY MAPS: Showcasing estimate uncertainty

    Maps may inform or misinform. Conveying the uncertainty associated with spatial estimates is important to prevent misinforming. Uncertainty provides a way to communicate where data is lacking or where a decision maker should focus their efforts in terms of ‘value for investment’. However, despite its importance, uncertainty is less commonly provided on/with maps.

    This 2-part talk will showcase two diverse examples of incorporating uncertainty in mapping: the Australian Cancer Atlas and Vizumap.

    The Australian Cancer Atlas had a mandate to display the uncertainty around each estimate in insightful and innovative ways. Released in September 2018, and freely accessible to all, it remains unique among online cancer atlases. This talk will demonstrate the novel data visualisations, intuitive map display and helpful features.

    Vizumap is an R package to make visualising uncertainty in spatial data more accessible to researchers wishing to communicate uncertainty from spatial information. The methods in Vizumap include the bivariate choropleth map, map pixelation, glyph rotation, and the exceedance probability map. This talk will showcase each of these methods and demonstrate how to use the Vizumap package.

    Speaker Bios

    Dr Susanna Cramb is a Strategic Research Fellow at the Institute of Health and Biomedical Innovation, Queensland University of Technology. She is also Vice President (Memberships), Statistical Society of Australia. Her research interests include investigating the spatial and spatio-temporal patterns of chronic disease in Queensland and across Australia. Susanna has also been recognised as a Superstar of STEM by Science and Technology, Australia.

    Lydia Lucchesi is a PhD student at Australian National University. She received a Bachelor of Arts in Statistics from the University of Missouri, Columbia, USA, in 2017. Upon graduating, Lydia visited CSIRO’s Data61 to collaborate on the development of the Vizumap R package. From 2017-2019, she completed a Post-Bachelor Fellowship at the Institute for Health Metrics and Evaluation in Seattle, USA. This included a practicum experience at the National Data Management Center at the Ethiopian Public Health Institute in Addis Ababa, Ethiopia. She enjoys coding in R to create data visualisations.

    • 16 Jun 2020
    • 3:30 PM (UTC+10:00)
    • Zoom, please register to get the link

    Leveraging statistical shapes in genomics: looking beyond what’s Normal

    In genomics, we often assume that continuous data, such as gene expression, follows a single type of statistical distribution. However, we rarely stop to question the validity of this assumption, and whether it applies uniformly to every gene measured in the genome. This talk includes studies from my group where a focus on the shape of gene expression distributions, specifically shape diversity, revealed new insights into biology. These studies highlight the value of studying the shape of a gene’s expression distribution as a means to model heterogeneity in the cancer genome. These insights would not have been uncovered using standard approaches that assume a single distribution applies to everyone in a patient cohort. Collectively, this work raises new questions and opportunities to investigate how diversity in statistical shapes can help explain heterogeneity in genomics.


    Associate Professor Jessica Mar is a Group Leader at the Australian Institute for Bioengineering and Nanotechnology at the University of Queensland in Brisbane. She leads a computational biology group that investigates how variability in the genome contributes to the regulation of diseases like cancer, or phenotypes like pluripotency in stem cells. A/Prof Mar received her PhD in Biostatistics from Harvard University in 2008. She was a postdoctoral fellow at the Dana-Farber Cancer Institute in Boston (2008-11), and an Assistant Professor at Albert Einstein College of Medicine in New York (2011-2018).

    Having only just relocated back to Australia as an ARC Future Fellow last year in July, her research program has a dual focus that concentrates on modelling the aging process using single cell bioinformatics, and understanding cancer genomics through novel statistical methods. A/Prof Mar has received several awards, including a Fulbright scholarship (2003), the Metcalf Prize for Stem Cell Research from the National Stem Cell Foundation of Australia (2017), and the LaDonne H. Shulman Award for Teaching Excellence at Albert Einstein College of Medicine (2017).

    • 19 Jun 2020
    • 12:00 PM - 1:30 PM (UTC+10:00)
    • via Zoom, check local time, time stated is AEST

    The Statistical Society of Australia is pleased to announce the following webinar:

    Getting to know our “cell mates”: A practical approach to microbiome analysis through a biostatistician’s lens.

    ·         When: 19 June 2020 12:00 PM – 1:30 PM (AEST)

    ·         Location: via Zoom, check local time, time stated is AEST

    About this webinar

    At one point it was believed that we have 10 times more bacteria than human cells leading to the claim that we are more bacteria than human. It is thus natural that we try and learn more about our living arrangements with our mates. Microbiome research is one of the many fields studying the relationship between humans and bacterial. The field was given a boost in 2008 with the birth of human microbiome project, which facilitates characterisation of the human microbiota to further our understanding of how the microbiome impacts human health and disease. Since then, studies collecting samples for characterisation of microbiome in different area of the body have increased exponentially. So far, a lot has been learnt on how our well-being (or not) is influenced by microbiome. Recent interesting findings include the suspected link between microbiome and autism spectrum.

    This webinar will be a walk-through of stages of extracting insights from microbiome data. Using a practical example, we will start with raw reads from microbiome samples and transform them into information that can be readily used by policy makers and digestible by the general population. Focus will be on the basic concepts and implementation rather than technical details. References will be provided for those interested in technical details and further reading.

    Topics to be discussed will include:

    • Processing of raw reads.
    • Hypothesis definition: Alpha diversity vs Beta diversity.
    • Exploration and visualization of microbiome data.
    • Statistical methods for analysis of microbiome data and their implementation in R.

    About the presenter
    Dr Elasma Milanzi obtained her Doctor of Science in mathematics (Biostatistics) from Universiteit Hasselt, in Belgium. Her areas of interest include; methods and applications for mixed models, survival analysis, dimension reduction and microbiome data. She currently does independent statistical consulting and training, is an honorary research fellow in Biostatistics with the university of Melbourne and heads the Analytics and Research team at the start-up company, Halogen Health. She has more than 5 years’ experience in lecturing biostatistics subjects to postgraduate students at top universities in Australia and Europe. She became interested in microbiome analysis during her collaboration with the Allergy and lung health unit at the University of Melbourne.

    To register

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

    If you have any questions, please contact Mark Wicht.

    • 22 Jun 2020
    • (UTC+10:00)
    • 26 Jun 2020
    • (UTC+10:00)
    • Sydney

    This is the first time ISEC will be held in the Southern Hemisphere! Sydney is home to the Sydney Opera House, Bondi Beach, the Tim Tam, half-decent weather even in winter, and it will be whale season...

    Confirmed plenary speakers:

    - Christl Donnelly (Imperial College, London)
    - David Borchers (St Andrews)
    - Di Cook (Monash)
    - Kiona Ogle (Northern Arizona)
    - Mark Bravington (CSIRO)

    Invited sessions on:

    - Reproducible Science
    - Methods for high throughput community data
    For more details go to

    There will be a Skills Showcase the day before the conference, with introductory tutorials running in parallel on a diverse range of topics, including Spatial Capture-recapture, Learning Python, Disease modelling and more. As usual, there will be short courses in the days before the conference.

    • 1 Jul 2020
    • (UTC+02:00)
    • 4 Jul 2020
    • (UTC+02:00)
    • Cagliari, Italy

    Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020)

    1-4 July 2020 in Cagliari, Italy

    The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences.

    Topics of interest include (but are not limited to):

    * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc

    * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences.


    29 February 2020: Deadline for abstract and paper submission to the CAS Workshop.

    15 April 2020: Notification of Acceptance.

    8 May 2020: Early-bird Registration ends.

    8 May 2020: Submission deadline for the final version of the Proceeding Papers.

    1-4 July 2020: ICCSA 2020 Conference.

    • 5 Jul 2020
    • (UTC+10:00)
    • 10 Jul 2020
    • (UTC+10:00)
    • Seoul, Korea

    Deferred until 2021. dates to be advised.

    The International Program Committee (IPC) of the International Biometric Society’s (IBS) 30thInternational Biometric Conference (IBC2020) calls for Invited Session proposals. IBC2020 will be held 5-10 July 2020 at the COEX (Convention & Exhibition Center), Seoul, Korea.

    • 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.

    • 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

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 CPD101- Mediation Analysis Using Potential Outcome Framework
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD98- Communicating with R Markdown
26 Sep 2019 SA Branch Meeting: Peter Kasprzak
24 Sep 2019 Vic Branch – Young Statisticians Showcase 2019
24 Sep 2019 NSW Branch: A notion of depth for curve data by Dr Pierre Lafaye de Micheaux
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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