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Upcoming events

    • 1 Mar 2021
    • (CST)
    • 5 Mar 2021
    • (CST)
    • Online

    The accelerating effects of global climate change—including destructive wildfires, intensifying tropical storms, severe drought and coastal flooding—pose major risks to civic infrastructure, the natural environment and human health. 

    To address these challenges, the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago is hosting a five-day interdisciplinary workshop starting March 1 that brings together leaders in mathematics, statistics and atmospheric sciences to begin developing tools to help guide responses to extreme weather events at a local, regional and national scale.

    The latest workshop brings together leading researchers from across the U.S., Canada and the U.K. to present on a variety of topics related to modeling and predicting the impacts of climate change.

    For the full schedule and to register, click here.

    Registrations close 25 February 2021!

    • 2 Mar 2021
    • 5:30 PM - 7:00 PM (UTC+11:00)
    • Virtual via Zoom

    Times (+/- some standard errors): 

    5:30pm-6pmZoom meeting opens and pre-seminar mingling

    6-6:45pm: Presentation on Zoom

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

    RSVP: Please register in advance for this meeting:

    After registering, you will receive a confirmation email containing information about joining the meeting.

    If you have any questions, please feel free to contact

    SpeakerGordana Popovic, University of New South Wales

    Topic: How to see the forest from the trees: Removing pesky artefacts from discrete data for better visualisation

    Abstract: Data sometimes have artefacts which obscure the patterns we are interested in visualising. You may have come across this when trying to interpret a residual plot from a logistic regression. For discrete data, these are not really artefacts, they are properties of the distribution of the data, like mean-variance relationships and lots of zeros. Generalised linear models and their extensions model the distribution of the data, including these properties, and so are a good way to remove them, to better see the patterns we are actually interested in. I will talk though some concepts and lots of examples of how we can use models to get the best out of our visualisations of discrete multivariate data in R.

    Biography: Gordana is a statistical consultant and research fellow at UNSW Sydney, with research interests in modelling and visualising multivariate discrete data in ecology. In her spare time, Gordana can be found hiking or ocean swimming (poorly but enthusiastically).

    Website link:
    • 9 Mar 2021
    • 5:30 PM (UTC+08:00)
    • The Cheryl Praeger Lecture Theatre, University of Western Australia/Online

    At this meeting, office bearers for the various committee positions will be voted on.  This will be followed by a seminar at 6 pm by Dr. Alun Pope (AStat)Principal, Analytical Insight Pty Ltd Adjunct Senior Research Fellow, Eastern Health Clinical School (Monash University)

    Consulting Environments and their Consequences.

    There are at least two different environments for applied statistical practice: the academic, scientific model is about the publication of research; the commercial, industrial model is about getting results that can be used in a timely fashion for profit. He will discuss, with illustrations from his experience in both academic and commercial consulting, some of the differences and similarities between different environments and some of the consequences these have for the way statistics is carried out,as well as the labeling of the process as statistics or data science, and whether this matters.

    Biography: Alun is an Accredited Statistician (AStat) who since February 2018 has been a Senior Research Fellow at Monash University's Eastern Health Clinical School, now an Adjunct in that role. He is also the Director and CEO of Analytical Insight Pty Ltd, a consulting company.

    After a PhD in Pure Mathematics (London) and an MSc in Statistics (ANU), Alun's career has followed two intersecting paths: as a teaching and research academic, and as a statistical consultant in industry and university environments.

    He has worked at Newcastle, UNSW, Sydney and Monash universities. At Newcastle he became the Head of the Statistics Department in the 1990s, during which time he started commercial consulting for a variety of organisations, including CSL, Telstra and the Department of Defence.

    He was Head of Research at the financial modelling company Rismark, leading a small team, Executive Manager St George Insurance Australia, Statistics Consultant at APRA, and was also a private consultant, as a partner in a small company (FarStar).

    At the University of Sydney, Alun set up the Statistical Consulting unit in 2015 and was its Director until the end of 2017. Staff and students from a wide range of schools and disciplines had access to this unit and Alun and his staff advised on PhD theses and research projects in a variety of disciplines, such as archaeology, biochemistry, ecology, political science, music education, clinical trials, survey analysis, etc.

    He has published papers on a range of pure and applied topics, as well as being the author of many consulting reports. Recent papers have appeared in The Lancet Healthy Longevity, Mycoses and Stroke.

    He now lives in Perth, Western Australia.

    Members and their guests are invited to join the speaker for dinner following the talk.  

    Wine and cheese will be served from just prior to the start of the AGM at 5.15pm. Visitors are welcome to attend. Parking is free on University of Western Australia grounds from 5 pm.

    Documents for the meeting:

    2021-03-09 March 9th SSA WA Annual General Meeting Notice

    SSA WA 2020-03-10 AGM minutes

    SSA WA 2021-03-09 AGM agenda

    If you are unable to physical attend you can log onto zoom. Please click here.

     If you have any questions regarding the upcoming meeting please click here.
    • 17 Mar 2021
    • 3:00 PM - 4:00 PM (UTC-00:00)
    • Online

    The rise of data science continues with employer demand for data scientists increasing by 20-30% year-on-year. Hundreds of universities now offer courses focusing on Data Skills, Statistics, Informatics and Machine Learning. With more and more future career paths increasingly relying on data and analytical skills, there are a number of questions that graduates often face, such as:

    • Should I learn Python or R, or something else?

    • What’s the difference between data science and statistics?

    • Do I need to be good at maths to do data science?

    To discuss these questions we will be hosting a panel of individuals of varying backgrounds and experience in data science within industry and academia. Submit any questions you’d like to see discussed at, but otherwise, you can also ask questions during the event.

    Click here to register.
    • 18 Mar 2021
    • 10:00 AM - 11:00 AM (UTC+11:00)
    • Online

    Like many researchers, you may feel that you must publish to progress in your careers but lack confidence or an understanding of the publishing process. If you feel this way, register for this webinar and learn from our expert editors. 

    Some highlights include:

    Tools to support authors before, during and after manuscript submission

    Tips and tricks to increase the chances of getting your manuscript published

    How to submit your manuscript successfully to a Wiley journal


    Matteo Cavalleri

    Who studied Chemistry at the University of Milan and the University of Valencia before obtaining a PH.D. from the Quantum Chemistry group of the Physics Department at Stockholm University. After three years experience at the Theory Department of the Fritz-Haber-Institute in Berlin as an Alexander von Humboldt postdoctoral research fellow, he joined Wiley in August 2008 as a Peer-Review Editor of  physica status solidi. He was the Editor-in-Chief of International Journal of Quantum Chemistry from October 2011 to April 2020. Matteo is now with U.S. Publisher of Materials Science and Physics group of Wiley, overseeing operations of the U.S.- based journals in those areas.

    Alejandra Barciela

    Who is Associate Director, Custer Training, for Wiley. She currently manages the global training program for Wiley Research. Previously, she worked as a Product Manager for Wiley Research Academy, and Marketing Manger for Author Marketing. During her 10 years at Wiley, Alejandra has also worked as an editor and project manager for textbooks and online courses.

    To register click here

    • 24 Mar 2021
    • 4:30 PM - 7:00 PM (UTC+11:00)
    • F10A.01.101.Law Building Annex.Law Annex Lecture Theatre 101
    Details to be announced soon.
    • 30 Mar 2021
    • 6:30 PM - 7:30 PM (UTC+11:00)
    • Virtual via Zoom

    Times (+/- some standard errors): 

    6:30pm-7:15pm: Outgoing El-presidente presentation on Zoom

    Unfortunately, no virtual pre-drinks and nibbles will be provided this time around, attendees (including the speaker!) will be coming directly from the SSA Canberra AGM.  All SSA Canberra members should have/will receive a separate invitation email to attend AGM prior to the branch meeting.

    RSVP: Please register in advance for this meeting at [Link TBC]After registering, you will receive a confirmation email containing information about how to join the meeting.

    If you have any questions, please feel free to contact

    SpeakerFrancis Hui, Australian National University

    Topic: My Journey into Spatial Confusing  Confounding

    Abstract: TBC

    Biography: Francis Hui is a Senior Lecturer in Statistics at the Australian National University. He completed his PhD at the University of New South Wales in 2014, moved to Canberra shortly afterwards to undertake a postdoctoral fellowship at the ANU, and has been happily stuck there ever since. His research spans a mixture of methodological, computational, and applied statistics, including longitudinal and correlated data analysis, dimension reduction and variable selection, and approximate statistical estimation and inference. Much of his research is motivated by joint modeling in ecology, and longitudinal analysis of mental health data, and is complemented by copious amounts of tea drinking, and unhealthy amounts of anime watching.

    Website link:
    • 15 Apr 2021
    • (UTC+10:00)
    • 16 Apr 2021
    • (UTC+10:00)
    • 2 sessions
    • Online via Zoom
    • 40
    Registration is closed

    Statistical Society of Australia (SSA) Canberra branch 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 visualisation, 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 (Day 1);
    • Teach you also 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 (Day 2). 

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

    Completion of this course will be helpful for the Advanced Data Visualisation Workshop with R, to be run by SSA Canberra in the second half of 2021 (TBA).

    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.

    Target audience:

    This workshop is suitable for those who know how to use R but are not familiar or comfortable with ggplot2 or would like a refresher on ggplot2.  

    Learning objectives:

    Day 1: Dipping Your Toes into Data Visualisation 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.  

    Basic requirements:

    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

      Desirable Skills:

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

      • Some familiarity with tidyverse


      Day 1

      9am  10:30am (1.5 hours)

      Session 1

      10:30am  11am

      Break / networking over virtual morning tea

      11am  12:30pm (1.5 hours)

      Session 2


      End of first day

      Day 2

      9am  10:30am (1.5 hours)

      Session 1

      10:30am  11am

      Break / networking over virtual morning tea

      11am  12:30pm (1.5 hours)

      Session 2


      End workshop


      Early bird registrations closes on midnight of Wednesday 31st March 2021. Regular registrations close on midnight of Friday 9th April 2021.

      Cancellation policy:

      Cancellations received prior to midnight of Monday 12 April 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


      Please contact the organisers: Pauline O'Shaughnessy ( and/or SSA Canberra (ssacanberra@gmail.comfor further details. In particular, if your organisation would like to discuss bulk registration options, please contact Pauline O'Shaughnessy (

      • 27 Jun 2021
      • (UTC+10:00)
      • 30 Jun 2021
      • (UTC+10:00)
      • Online

      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 2021:

      Invited Session Proposals: March 1

      Abstract Submissions: March 15

      Travel grant applications: March 15

      Early Registration: May 3

      For abstract submissions click here.

      To learn more click here.

      • 28 Jun 2021
      • (UTC+10:00)
      • 16 Jul 2021
      • (UTC+10:00)
      • Online

      We now have our 2021 Winter Program, master classes and workshops up on our website and ready for enrolments. You can  visit our website and enrol in classes scheduled from March to October. We will be adding more short courses throughout the year.

      Considering the potential for travel and gathering restrictions, our 2021 Online Winter Program & short courses will be offered 'live' online using Zoom. A reminder that courses will be capped at 12 people, so enrol now to secure a place and take advantage of the early-bird enrolment rate.

      If you ever need to speak to us or are after more information, please call 03 8376 6496 or you can email us at

      Winter 2021 - June 28 to July 16, 2021

      June 28- July 2
      Foundations of Qualitative Methodologies, Data Collection and Analysis Online (3-Day)
      Fundamentals of Statistics: Online
      Introduction to Social Network Research and Analysis: Online
      Fundamentals of Program Evaluation in Public Policy: Online
      Applied Longitudinal Data Analysis: Online
      Applied Structural Equation Modelling: Online

      July 5-9
      Applied Computer-assisted Qualitative Data Analysis using Nvivo: Online
      Applied Statistical Procedures: Online
      Data Analysis in R: Online
      Data Analysis Using Stata: Online
      Qualitative Research: Design, Analysis and Representation: Online
      Big Data Analysis for Social Scientists : Online - 3 Day
      Multi-level Analysis using Mplus: Online

      July 12-16
      Introduction to Qualitative Research: Online
      Fundamentals of Structural Equation Modelling: Online 

      2021 online Master-classes and Workshops

      Questionnaire Design: Online April 15-16
      A two day workshop focusing on building hard copy or internet surveys to meet a variety of needs. Topics include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioural data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results.

      NVivo Essentials: Online April 22-23
      This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. The focus is on developing the essentials skills from NVivo through hands-on experience.

      Creating and Managing Web surveys using LimeSurvey: Online
      April 28
      LimeSurvey is a powerful web based survey tool . This course will introduce you to the LimeSurvey administrative interface, show you how to set up, conduct and export your data for a web based survey. You will cover methods for inviting and managing participants, managing and monitoring ongoing surveys and exporting data to multiple statistical packages.

      NVivo for a Literature Review: Online (1-day)
      NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This 1-day master-class introduces NVivo, and takes researchers through the process of sorting and organise literature and notes from readings in a systematic way. By the end of the workshop attendees will have a basic understanding on how to use and get the most out of their literature use NVivo

      Structural Equation Modelling using Stata: Online
      May 7-8 (Fri-Sat)
      A foundation for those of you wanting to use SEM to explore and test complex relationships. This 2-day master-class is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. You will experience hands-on SEM examples and build your own Stata SEM models.

      Collecting, Managing and Analysing Qualitative INTERVIEW Data: Online May 10-11
      A practical course, enabling participants to understand the preparatory requirements for both individual and group qualitative interviewing as well as to become proficient in qualitative question design. Experience in both types of qualitative interviewing will be provided as well as practise in undertaking analyses of these types of data.

      Applied Qualitative Interviewing Methods: Online May 18
      A hands-on advanced qualitative interviewing workshop where you will have the opportunity to reflect on your data collection, revise the way you frame your questions, redesign your interview protocol, and practise interview behaviours through role-played mock interviews, allowing you to critically review any interview protocol and elicit deep, meaningful data from your participants.

      Spatial Analysis in R: Online August 16-17 (NEW course)
      Designed for applied users of R who want to take their spatial analysis to a higher level, this master-class will show you how to access spatial data from a number of sources, match this with geographic shape files, analyse spatial patterns, link these data to information from surveys, and create interactive maps to highlight important findings.

      Storytelling with Data Visualisation: Online September 20-21
      Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report. This workshop has two objectives – to teach the design principles required to make plots that really stand out for the reader, and to teach the practical skills required to create these plots within R.

      Qualitative Research: Doing Constructionist Data Analysis: Online October 4-7*
      This master-class offers lectures and data workshops covering the latest approaches to key areas of qualitative research:
          • Improving the quality of interview data analysis;
          • Finding sequences in your data;
          • Documents and digital data as social constructions;
          • Theorising with qualitative data.

      *Please note this will be an evening course running from 7pm to 9.30pm as Prof David Silverman is in the UK.

      Foundations of R for Research: Online October 15-16
      A step by step interactive introduction for people with no experience with R and RStudio.
      Notes and exercises will cover a variety of data sets which you will work on during lectures and individually. The course content is particularly suited for those involved in research in the business, education, social and health sciences.

      Trends, Challenges and the Art of Survey Writing for the Public Sector, NFP and Industry Research: Online October 25-26 (NEW Course)
      Taught by instructors with real-world experience as campaign consultants, survey researchers and data scientists, this masterclass will focus on teaching you about survey design. You will be shown how political survey research works, and sometimes doesn’t, how technology and social trends are changing survey research, and the best ways to write effective survey questions.  

      Gordana Bacic

      Membership Services, Marketing and Events Coordinator

      Australian Consortium for Social and Political Research Inc.

      +61 3 8376 6496

      Find out more.

      • 5 Jul 2021
      • (UTC+02:00)
      • 8 Jul 2021
      • (UTC+02:00)
      • Cagliari, Italy/Online

      This is an invitation to submit a contribution for the: 

      Workshop of the 21st International Conference on Computational Science and Applications will be held on July 5-8, 2021, in Cagliari, Italy. 

      Like last year, ICCSA 2021 offers the possibility of online-only participation (with reduces registration fees). But we are also planning to offer the possibility of in-presence participation, should the pandemic situation allow it, by setting up a blended experience for mixed online/in-presence sessions.

      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.  



      All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition.

      The authors can submit abstracts and papers to your session accessing the electronic submission site: You can find the instructions to prepare and submit papers on the web site:

      If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms.

      The author will be able to update the paper until the submission deadline.



      March 28, 2021: Deadline for abstract and paper submission to the CAS Workshop.

      April 18, 2021: Notification of Acceptance.

      May 10, 2021: Early-bird Registration ends.

      May 10, 2021: Submission deadline for the final version of the Proceeding Papers.

      July 5-8, 2021: ICCSA 2021 Conference.



      * Ana Cristina Braga (, Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact.


      • 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.

      • 22 Jul 2021
      • (UTC+10:00)
      • Online

      All students and early career biostatisticians, (i.e. within 10 years of completing biostatistics training) are invited to submit an abstract for an oral presentation at the ISCB Early Career Biostatisticians day on Thursday 22 July 2021.  Presentations will be delivered online.

      We are seeking oral presentations related to student, academic, research and professional life that are outside the scope of the main conference. This year we will have a special focus on the ethical challenges presented to biostatisticians and invite submissions relating to specific examples of ethical dilemmas in student and professional life. However, we welcome submissions on a range of themes such as choice of workplace, professional advancement, navigating professional relationships, and work-life balance.

      To submit an abstract, visit.

      Further information and key dates, click here.

      • 26 Jul 2021
      • 11:00 AM (UTC+10:00)
      • 1 Aug 2021
      • 6:00 PM (UTC+10:00)
      • Zoom/Slack
      • 447

      The Early Career & Student Statisticians Conference (ECSSC) 2021 will be held on 26 July to 1 August 2021. We are delighted to announce that we will be holding our conference virtually! ECSSC2021 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia. This event is not to be missed!

      To keep up-to-date with ECSSC2021, please go to the official conference website.

      When you register for the conference, you need to be logged in as a member of SSA to take advantage of the member discount.  Please note that a one-year student membership with SSA is available to full-time students for only $20! Click here to register as a member of SSA and to see where your membership can take you!

      This year, we are also giving high school students, who may be interested in a career in statistics, the opportunity to join our online conference free of charge.

      ECSSC2021 - The Rising Stars of Statistics