Statistical Society of Australia upcoming events

SSA ACT June meeting: An End-to-End Video-Based System for Street Food Safety Inspection Using Vision-Language Models and Multi-Source Truth Discovery (30 Jun 2026)

Tue, 30 Jun 2026 07:45:00 GMT

The Australian Capital Territory Branch of the Statistical Society will be holding its next meeting on Tuesday 30th June in person and online via Zoom. For those attending in person, there will be the opportunity to meet for dinner afterwards in Canberra City.

Date: Tuesday 30th June 2026

Time: 5:45pm (AEST) followed by dinner (details below)

Venue: Allan Barton Forum, Level 2, ANU College of Business & Economics, Building 26C, The Australian National University (ANU Building 26C)

Online by Zoom: https://anu.zoom.us/j/82610896950?pwd=7zbH8nCJsyX8ZBVdqQPi8AVxTlSYML.1

Meeting ID: 826 1089 6950

Password: 939291

The zoom link will be open from 5.30pm. RSVP is not required.

Title: An End-to-End Video-Based System for Street Food Safety Inspection Using Vision-Language Models and Multi-Source Truth Discovery

Ensuring food safety in street food environments remains a major public health challenge in developing countries, where traditional inspection methods rely on in-person officer assessments that are costly, difficult to scale, and often subject to individual bias. Such evaluations can vary due to contextual familiarity and subjective judgement, leading to inconsistent assessment of critical hygiene infrastructure, including handwashing stations, dishwashing areas, waste disposal systems, and water storage facilities.

This talk presents an end-to-end video-based system for automating street food safety inspection using vision-language models (VLLMs). The system replaces direct officer observation with a scalable pipeline that operates on short recorded videos of vendor environments. It extracts representative visual evidence from video data and uses a lightweight VLLM to generate structured assessments of food safety compliance.

On top of this system, the work focuses on improving the reliability of generated assessments through multi-source supervision. This includes annotations from field officers, crowdworkers under different visual conditions, and multiple VLLM-based systems. Truth discovery methods are applied to aggregate these heterogeneous and noisy signals into more consistent estimates of underlying ground truth labels. These aggregated labels are then used to refine and retrain vision-language models, improving robustness under real-world annotation noise and domain variability.

Presenter: Dr Patrick (Weihao) Li

Dr Patrick (Weihao) Li is a Postdoctoral Research Fellow at the Research School of Finance, Actuarial Studies and Statistics, Australian National University. He holds a Bachelor of Commerce (majoring in Business Analytics), an Honours degree in Econometrics, and a PhD in Statistics from the Department of Econometrics and Business Statistics at Monash University. His research focuses on machine learning, data visualization, visual inference, and computer vision, with a particular interest in automating the evaluation of diagnostic graphics and understanding how people interpret them.

Dinner: After the talk, there will be a dinner at 7.15pm at SoLita Pizzeria, Restaurant & Bar, 143 London Circuit, Canberra

If you plan to attend the dinner, please RSVP by 5:00 pm on Monday 29 June by entering your details in the SSA ACT Branch dinner attendance sheet, or by contacting Warren Muller at wjmstats@outlook.com or 0407 916 868. Please treat your RSVP as a firm commitment rather than an expression of interest.

If you need to withdraw after the deadline, please remove your name from the attendance sheet and notify Warren by phone or text on 0407 916 868. Please note that last-minute requests to attend during the event cannot be accommodated, so be sure to RSVP through the attendance sheet in advance.

NOTE: SSA ACT branch are offering discounts to SSA early career and student members who attend dinner! For this meeting, dinners will be a fixed charge of $15 for student members and $25 for early career members.

SSA VIC & TAS : Meet the Council Over Breakfast (1 Jul 2026)

Tue, 30 Jun 2026 22:00:00 GMT

Join The Victorian and Tasmanian Branch council of the Statistical Society of Australia for an informal catch up over coffee before work in Melbourne's CBD. This is a good opportunity to learn about what the Council does and how you could get involved. Or just come by for a chat with some kindred spirits before starting your day.

Date: Wednesday 1st July 2026

Venue: Anda Cafe, 215 Spring St, Melbourne VIC 3000

Key Learnings:

For members:

• What's involved in being on Council and how it can develop your leadership skills

• Get to know your Council and provide us with feedback on what initiatives you'd like to see

For non-members

• Learn about the SSA, what we do and how you can get involved

Presenter:

Dr Elena Tartaglia

Coffee Offer:

A complimentary coffee is available for up to five ECSS and Transitional Members. Eligible members should register using the code: Free Coffee to redeem this offer.

Registration:

This is a free event, but registration is encouraged so we can provide attendees with information on how to locate the group on the day.

SSA Biostatistics & Bioinformatics Section Webinar: Continuous-Time Stochastic Process Models of Animal Movement (2 Jul 2026)

Thu, 02 Jul 2026 01:00:00 GMT

The Biostatistics & Bioinformatics section of the Statistical Society of Australia invites members to a a presentation titled "Continuous-time stochastic process models of animal movement" delivered by Dr. Christen Fleming, head of the Ecoinformatics Lab at the University of Central Florida and Nozomu Hirama, PhD student in the Ecoinformatics lab at the University of Central Florida

Date: Thursday 2 July 2026

Time: 9:00 am (AWST)

Format: Online via Zoom. Details provided upon registration

Abstract: Continuous-time stochastic process models of animal movement

Animal tracking data are key inputs for modeling space use, habitat suitability, and behavior. In this talk, we detail the structure and estimation of continuous-time stochastic process movement models and animal-location probability density functions for these irregular timeseries. We show how autocorrelation models and autocorrelation-informed statistical methods are necessary for conservation biology and wildlife management, and we discuss current research on non-stationary processes.

Key Learnings from attending webinar:

Previous methods—that assume tracked locations are independent from one time to the next—have been shown to underestimate animal space use by factors of 2-20 on average, depending on the method and species.

Presenter Bio: Dr. Christen Fleming , University of Central Florida

Dr. Christen Fleming heads the Ecoinformatics Lab at the University of Central Florida, which works on the development and application of analytic methods for ecological, environmental, and evolutionary data, with a strong focus on addressing conservation needs. The general aim of the Ecoinformatics Lab is to resolve how abundant, yet complex data be used to inform conservation and management, through the combination of mathematical, statistical, and computational approaches. The research interests of the Ecoinformatics Lab include animal movement, species distribution, phylogenetic evolution, and population dynamics. This research is highly interdisciplinary, in nature, and involves collaboration with applied mathematicians, statisticians, physicists, and computer scientists, and making heavy use of stochastic processes, mathematical statistics, numerical analysis, and scientific computing.

christen.fleming@ucf.edu

Presenter Bio: Nozomu Hirama, University of Central Florida

Nozomu is a PhD student in the Ecoinformatics lab at the University of Central Florida. His research focuses on developing non-stationary animal movement models for examining behavioral changes using tracking data, with applications to animals with diel and seasonal activity patterns, as well as migratory and dispersal species.

nozomu.hirama@ucf.edu

Data Science SIG Monthly Catch Up (9 Jul 2026)

Thu, 09 Jul 2026 04:00:00 GMT

The Data Science SIG's monthly catch up is a place to share any ideas, challenges, cool tech, or anything else data science-related.

Each month we'll come with something new to discuss, but anyone is welcome to lead the discussion. Just let the DSSIG committee know!

The monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month, 2:00 - 3:00 PM (AEST).

Zoom link

2026 Dates

Thursday 11 June 2026 2:00 PM - 3:00 PM AEST
Thursday 9 July 2026 2:00 PM - 3:00 PM AEST
Thursday 13 August 2026 2:00 PM - 3:00 PM AEST
Thursday 10 September 2026 2:00 PM - 3:00 PM AEST
Thursday 8 October 2026 2:00 PM - 3:00 PM AEDT
Thursday 12 November 2026 2:00 PM - 3:00 PM AEDT

ICOTS -12th International Conference on Teaching Statistics (12 Jul 2026)

Sat, 11 Jul 2026 14:00:00 GMT

The 12th International Conference on Teaching Statistics (ICOTS 12), to be held in Brisbane, 12–17 July 2026, will be the first time ICOTS will be hosted in Australia.

We are delighted to announce the ICOTS 12 keynote speakers:

• Prof Mine Çetinkaya–Rundel – Duke University

• Prof Dianne Cook – Monash University

• Emeritus Prof Sir Peter Donnelly – Genomics PLC, University of Oxford

• Prof Rob Gould – UCLA

• Dr Elena Proden – UNITAR

These outstanding speakers will bring a wealth of expertise and perspectives to ICOTS 12, setting the stage for an inspiring and thought-provoking program.

Key dates:

• Abstract submission deadline: 31 August 2025

• Notification of acceptance: 30 September 2025

• Optional refereed paper submission deadline: 30 November 2025

• Final papers (refereed and non-refereed) due: 30 April 2026

All accepted abstracts will appear in the official Conference Program and online Proceedings. Oral presenters are encouraged (but not required) to prepare a full paper for the Proceedings. Refereed papers will be clearly labelled as such.

For more information, please visit: https://icots12.oa-event.com

We look forward to welcoming you to Brisbane in 2026 for this landmark event in statistics education!

SSA QLD Branch Seminar Series: Research showcase of ASC2025 QLD Branch Travel Grant Recipients (22 Jul 2026)

Wed, 22 Jul 2026 07:00:00 GMT

Join the Queensland Branch of the Statistical Society of Australia for an engaging Branch Seminar Series, featuring presentations from Queensland-based statisticians through a mix of hybrid and online seminars. In the first webinar of the series, we will showcase the innovative research presented by Queensland travel grant recipients at the 2025 Australian Statistical Conference (ASC2025). This session offers an opportunity to hear from four early career researchers about their statistical research, conference presentation, and their experience attending ASC2025.

Date: Wednesday 22 July 2026

Time: 5:00 - 6:00 pm (AEST)

Format: Online, details will be provided upon registration.

Presenter Bios:

Danyang Dai (Daidai)

Danyang Dai (Daidai) is an applied statistician and infectious disease epidemiologist, finishing her PhD at the University of Queensland, whose research leverages advanced statistical methods and large-scale health data to generate policy-relevant insights in population health. In this presentation, she introduces metaextractoR, an open-source R package designed to streamline data extraction in systematic reviews and meta-analyses—traditionally a labor-intensive and error-prone process—by integrating open-source Large Language Models through the Ollama framework. The tool enables automated, structured, and reproducible workflows via modular Shiny applications, supporting a human-in-the-loop approach where researchers collaborate iteratively with LLMs and perform parallel double extraction in line with Cochrane guidelines. Running fully locally without external data transfer, metaextractoR prioritises privacy, transparency, and reproducibility through comprehensive logging, ultimately lowering technical barriers and empowering more efficient, reliable evidence synthesis.

Nahida Afroz

Nahida Afroz is a health data scientist, statistician, and population health researcher who recently completed her PhD in Mathematical Sciences at the University of Southern Queensland. Her research leverages advanced statistical modelling and large-scale longitudinal health datasets to generate policy-relevant insights into mental health, behavioural risk factors, health inequalities, and health service utilisation among children and adolescents. Her work has involved the analysis of major Australian cohort datasets including the Longitudinal Study of Australian Children (LSAC), the Longitudinal Study of Indigenous Children (LSIC), and Young Minds Matter (YMM), using advanced quantitative approaches such as structural equation modelling, latent class analysis, multilevel modelling, and longitudinal data analysis. In her research, Nahida combines methodological expertise in R, Stata, SPSS, and Python with applied public health research to support evidence-based decision-making and health policy development. She has published in leading international journals including Social Science & Medicine, Journal of Affective Disorders, Applied Psychology: Health and Well-Being, and PLOS ONE, with ongoing research focusing on mental health epidemiology, Indigenous health, and longitudinal population health research.

Prabhashrini Dhanushika Manage

Prabhashrini Dhanushika Manage is a PhD Candidate and Sessional Academic in the School of Computer Science at Queensland University of Technology (QUT). She is passionate about statistics and its role in building reliable, explainable, and trustworthy artificial intelligence. With a background in statistics, her research journey has gradually moved towards artificial intelligence, natural language processing, and transformer-based medical text classification. Her doctoral research focuses on uncertainty-aware machine learning, particularly addressing the reliability of transformer-based classifiers in high-stakes domains such as healthcare. Her ASC2025 presentation topic is “From Black-Box to Transparent AI: A Statistical Framework for Managing Uncertainty in Medical Text Classification”, which presents a statistically grounded framework for managing uncertainty and improving the reliability of AI models in medical text classification.

Lijalem M. Tesfaw

Lijalem M. Tesfaw, is a PhD candidate at the School of Public Health, The University of Queensland. He holds a BSc in Statistics from Bahir Dar University (Ethiopia), MSc in Biostatistics from Hasselt University (Belgium), and an MSc in Industrial Statistics from Bahir Dar University (Ethiopia). His research interests lie in spatial epidemiology, biostatistics, and environmental exposures, with a focus on kidney disease outcomes. He will present part of his PhD research titled “Mapping Kidney Failure Incidence in Australia: Statistical Spatial Analysis Approaches and Their Applications”. This study focuses on the geographic patterns of kidney failure incidence in Australia using various statistical approaches to improve understanding of how kidney failure is distributed across areas and how environmental and geographic factors contribute to this pattern.

SSA NSW Branch Seminar: The Future of Statistics Education: A Computational Perspective (22 Jul 2026)

Wed, 22 Jul 2026 07:30:00 GMT

The New South Wales Branch of the Statistical Society of Australia invites you to a presentation titled "The Future of Statistics Education: A Computational Perspective" delivered by Dr. Mine Çetinkaya-Rundel (Duke University)

Date: Wednesday 22 July 2026

Times (AEST): 5:30pm - 7:00pm

Venue: USyd F10A.01.117. Law Building Annex. Law Annex Seminar Room 117

Format: In person

Abstract: The Future of Statistics Education: A Computational Perspective

Statistics education stands at a critical juncture as we navigate the intersection of traditional statistical theory, modern computational approaches, and emerging AI technologies. This talk examines how statisticians can reimagine curricula by embracing computation as a foundational element rather than an afterthought. While traditional statistics education has prioritized theoretical frameworks and applications, computation has emerged as the backbone of contemporary data analysis—from data acquisition and wrangling to visualization, modeling, and communication. Now, AI tools are further transforming this landscape, creating both opportunities and challenges for statistics and data science educators. The presentation will outline a forward-looking curriculum model for introductory courses that balances statistical thinking, data science methods, and explicit computational instruction.

Presenter Bio: Dr. Mine Çetinkaya-Rundel (Duke University)

Dr. Mine Çetinkaya-Rundel is a Professor of the Practice and Director of Undergraduate Studies in the Department of Statistical Science as well as the Director of FirstYear Experience in Trinity College of Arts & Sciences at Duke University and a leading voice in modern statistics and data science education. Her work focuses on integrating reproducible computing, open-source tools, and real-world data into the statistics curriculum, transforming how students engage with data and statistical thinking. She is a core contributor to the OpenIntro project and an advocate for open educational resources and statistical computing in R. A Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute, she has received numerous honors, including the ASA’s Waller Education Award and the Robert V. Hogg Award for Excellence in Teaching Introductory Statistics. She currently serves as Vice President of the International Association for Statistical Education (IASE) and as co-chair of the ASA's DataFest Steering Committee. Through her teaching, writing, and advocacy, Dr. ÇetinkayaRundel has advanced accessible, computation-rich, and reproducible data science education worldwide.

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

The Personal Journey of Don McNeil: A Webinar by Early Career & Student Statisticians Network and History Standing Committee of SSA (28 Jul 2026)

Tue, 28 Jul 2026 04:00:00 GMT

This series of webinars, a collaboration between the Early Career & Student Statisticians Network (ECSSN) and the History Standing Committee of the Statistical Society of Australia, explores the personal journeys of senior Australian statisticians who have made a significant impact.

Through these conversations, we delve into their career paths, challenges, and achievements, offering valuable lessons and inspiration for early career and student statisticians.

Date: Tuesday 28 July 2026

Time: 2:00pm - 3:15pm (AEST)

Format: Online via Zoom. Details provided upon registration

Abstract:

The interview of Don for up to 40 minutes, will be conducted by Malcolm Hudson. There will then be a Q & A by a member of the ECSSN.

Bio: Don McNeil

Don received his secondary schooling at St Virgils College, Hobart, Tasmania. He was Dux of School and awarded first place in the University Entrance Scholarship with prizes for Physics & Chemistry. He enrolled at the University of Tasmania and received a BSc (Hons) in Mathematics. He then moved to the Australian National University where he earned a PhD in Statistics under the direction of P A P Moran.

Following an invitation from G S Watson, he joined the faculty of the Department of Statistics at Princeton University, where he was profoundly influenced by J W Tukey, particularly Tukey’s revolutionary work on Exploratory Data Analysis, and shortly thereafter published his own book of BASIC algorithms enabling statisticians and Statistics students to explore data with the new methods that Tukey had introduced. After six years, he returned to Australia early in 1976 to take up a position as Foundation Professor of Statistics in the School of Economic & Financial Studies at Macquarie University. He held this position for 25 years before ‘retiring’ in 2001. Subsequently, he helped to run a graduate program at Prince of Songkla University in Thailand where he received an Honorary DSc.

Thus, Don has never really retired: in fact, he has contributed to the book "Who Says I Am Retired" published in 2018 by the Social Security Research Centre at the University of Malaya.

His research interests include Medicine & Public Health, Environmental & Climate Science, Financial Modelling, and Data Science Analytics. He has more than 85 publications. One of the better known is Modern statistics: an introduction, published in 2012 and co-authored with Jenny Middledorp.

Why Attend?

Learn from Experience: Don's journey offers rich insights into building a career in statistics while leading innovations in education.
Be Inspired: Discover how one person’s passion for teaching and statistical thinking can influence thousands across disciplines and borders.
Contribute to History: This webinar will be recorded, with a transcript prepared to support the History Standing Committee’s work in documenting the evolution of statistics education in Australia.

Who Should Attend?

Early career statisticians
Students aspiring to work in statistics or related fields
Anyone interested in the history and future of statistics education

Click here to view recordings and transcripts for previous webinars in the series.

Statistical Consulting Network Monthly Meet-Up (29 Jul 2026)

Wed, 29 Jul 2026 02:00:00 GMT

Come along with your thinking cap, maybe a problem, and some lunch!

The Statistical Consulting Network invites you to their monthly online meet-up, a virtual lunchtime meeting where statisticians help each other out with problems that they aren’t sure how to deal with.

This virtual meeting is held on Zoom at lunchtime on the last Wednesday of each month, 12:00 - 1:00 PM (AEST). They start each meet-up with announcements, or occasionally a special topic discussion, then discuss problems that attendees have brought along with them.

Zoom link

Password: 543284

Calendar invite: Stats Consulting Network meeting.ics

2026 Dates

Wednesday 25 February 2026, 12:00 PM – 1:00 PM AEDT
Wednesday 25 March 2026, 12:00 PM - 1:00 PM AEDT
Wednesday 29 April 2026, 12:00 PM - 1:00 PM AEST
Wednesday 27 May 2026, 12:00 PM - 1:00 PM AEST
Wednesday 24 June 2026, 12:00 PM - 1:00 PM
Wednesday 29 July 2026 12:00 PM - 1:00 PM AEST
Wednesday 26 August 2026 12:00 PM - 1:00 PM AEST
Wednesday 30 September 2026 12:00 PM - 1:00 PM AEST
Wednesday 28 October 2026 12:00 PM - 1:00 PM AEDT
Wednesday 25 November 2026 12:00 PM - 1:00 PM AEDT

The Statistical Consulting Network also has a Slack workspace where members of the consulting network can communicate between meetings, or post problems or relevant materials they would like to discuss during a meeting.

Slack Workspace link

SSA and NZSA Mentoring Program Professional Skills Webinar Series. Webinar 4: Unlock your Mentoring Potential (30 Jul 2026)

Thu, 30 Jul 2026 02:00:00 GMT

Join us for the SSA Mentoring Program Professional Skills Webinar Series, which in 2026 will be co-delivered with the NZSA Mentor Programme. This online professional development series is invaluable to statisticians who are looking to improve and enhance their skills in communication, time and project management.

Webinar 4:

Unlock your Mentoring Potential

Presenter: Lisa Thomasen, Fonterra, New Zealand

Date and Time: Thursday 30 July 2026, 12:00pm (AEST)

Abstract

Mentoring can be a gamechanger for many individuals, with participants from both the SSA and NZSA Mentoring Programs sharing the benefits they’ve experienced. Every mentoring relationship is unique, with experiences varying widely. This session will explore some of the key differences between mentoring relationships with a focus on formality, longevity and preparation including tips on how to customise your mentoring relationship to make mentoring work for you.

Presenter's Bio - Lisa Thomasen

Lisa Thomasen has been a consultant statistician in industry for the past decade and is currently lead research statistician at Fonterra in New Zealand. Her work includes modelling milk powder functionality, analysing cheesecake performance, and investigating consumer preferences of yoghurts. Lisa co-ordinates the New Zealand Statistical Association (NZSA) mentoring program and was the 2024 recipient of the NZSA Campbell Award for her advocacy for students, early-career, and professional statisticians alongside her mentoring and community-building initiatives in this space.

Webinars:

Webinar 1: Thursday 23 April 2026 12:00pm (AEST). Building a team, one person at a time - A/Prof David Price, Doherty Institute
Webinar 2: Thursday 7 May 2026 11:00am (AEST). Effective networking as a statistician - Prof Kelley M Kidwell, University of Michigan
Webinar 3: Thursday 18 June 2026 12:00pm (AEST). Robust reproducible research - Dr Simon Tuke, University of Adelaide
Webinar 4: Thursday 30 July 2026 12:00pm (AEST). Unlock your Mentoring Potential - Lisa Thomasen, Fonterra, New Zealand

Fees:

Mentoring program participants – Free (both SSA and NZSA) Registration code required
Non SSA/NZSA Members – $60.00
SSA/NZSA Members – $30.00

Cancellation Policy:

Cancellations received prior to two weeks before the event will be refunded, minus the Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20.

From then on, no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

Data Science SIG Monthly Catch Up (13 Aug 2026)

Thu, 13 Aug 2026 04:00:00 GMT

The Data Science SIG's monthly catch up is a place to share any ideas, challenges, cool tech, or anything else data science-related.

Each month we'll come with something new to discuss, but anyone is welcome to lead the discussion. Just let the DSSIG committee know!

The monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month, 2:00 - 3:00 PM (AEST).

Zoom link

2026 Dates

Thursday 11 June 2026 2:00 PM - 3:00 PM AEST
Thursday 9 July 2026 2:00 PM - 3:00 PM AEST
Thursday 13 August 2026 2:00 PM - 3:00 PM AEST
Thursday 10 September 2026 2:00 PM - 3:00 PM AEST
Thursday 8 October 2026 2:00 PM - 3:00 PM AEDT
Thursday 12 November 2026 2:00 PM - 3:00 PM AEDT

Statistical Consulting Network Monthly Meet-Up (26 Aug 2026)

Wed, 26 Aug 2026 02:00:00 GMT

Come along with your thinking cap, maybe a problem, and some lunch!

Zoom link

Password: 543284

Calendar invite: Stats Consulting Network meeting.ics

2026 Dates

Wednesday 25 February 2026, 12:00 PM – 1:00 PM AEDT
Wednesday 25 March 2026, 12:00 PM - 1:00 PM AEDT
Wednesday 29 April 2026, 12:00 PM - 1:00 PM AEST
Wednesday 27 May 2026, 12:00 PM - 1:00 PM AEST
Wednesday 24 June 2026, 12:00 PM - 1:00 PM
Wednesday 29 July 2026 12:00 PM - 1:00 PM AEST
Wednesday 26 August 2026 12:00 PM - 1:00 PM AEST
Wednesday 30 September 2026 12:00 PM - 1:00 PM AEST
Wednesday 28 October 2026 12:00 PM - 1:00 PM AEDT
Wednesday 25 November 2026 12:00 PM - 1:00 PM AEDT

Slack Workspace link

Data Science SIG Monthly Catch Up (10 Sep 2026)

Thu, 10 Sep 2026 04:00:00 GMT

The Data Science SIG's monthly catch up is a place to share any ideas, challenges, cool tech, or anything else data science-related.

Each month we'll come with something new to discuss, but anyone is welcome to lead the discussion. Just let the DSSIG committee know!

The monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month, 2:00 - 3:00 PM (AEST).

Zoom link

2026 Dates

Thursday 11 June 2026 2:00 PM - 3:00 PM AEST
Thursday 9 July 2026 2:00 PM - 3:00 PM AEST
Thursday 13 August 2026 2:00 PM - 3:00 PM AEST
Thursday 10 September 2026 2:00 PM - 3:00 PM AEST
Thursday 8 October 2026 2:00 PM - 3:00 PM AEDT
Thursday 12 November 2026 2:00 PM - 3:00 PM AEDT

Statistical Consulting Network Monthly Meet-Up (30 Sep 2026)

Wed, 30 Sep 2026 02:00:00 GMT

Come along with your thinking cap, maybe a problem, and some lunch!

Zoom link

Password: 543284

Calendar invite: Stats Consulting Network meeting.ics

2026 Dates

Wednesday 25 February 2026, 12:00 PM – 1:00 PM AEDT
Wednesday 25 March 2026, 12:00 PM - 1:00 PM AEDT
Wednesday 29 April 2026, 12:00 PM - 1:00 PM AEST
Wednesday 27 May 2026, 12:00 PM - 1:00 PM AEST
Wednesday 24 June 2026, 12:00 PM - 1:00 PM
Wednesday 29 July 2026 12:00 PM - 1:00 PM AEST
Wednesday 26 August 2026 12:00 PM - 1:00 PM AEST
Wednesday 30 September 2026 12:00 PM - 1:00 PM AEST
Wednesday 28 October 2026 12:00 PM - 1:00 PM AEDT
Wednesday 25 November 2026 12:00 PM - 1:00 PM AEDT

Slack Workspace link

Data Science SIG Monthly Catch Up (8 Oct 2026)

Thu, 08 Oct 2026 03:00:00 GMT

The Data Science SIG's monthly catch up is a place to share any ideas, challenges, cool tech, or anything else data science-related.

Each month we'll come with something new to discuss, but anyone is welcome to lead the discussion. Just let the DSSIG committee know!

The monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month, 2:00 - 3:00 PM (AEST).

Zoom link

2026 Dates

Thursday 11 June 2026 2:00 PM - 3:00 PM AEST
Thursday 9 July 2026 2:00 PM - 3:00 PM AEST
Thursday 13 August 2026 2:00 PM - 3:00 PM AEST
Thursday 10 September 2026 2:00 PM - 3:00 PM AEST
Thursday 8 October 2026 2:00 PM - 3:00 PM AEDT
Thursday 12 November 2026 2:00 PM - 3:00 PM AEDT

Statistical Consulting Network Monthly Meet-Up (28 Oct 2026)

Wed, 28 Oct 2026 01:00:00 GMT

Come along with your thinking cap, maybe a problem, and some lunch!

Zoom link

Password: 543284

Calendar invite: Stats Consulting Network meeting.ics

2026 Dates

Wednesday 25 February 2026, 12:00 PM – 1:00 PM AEDT
Wednesday 25 March 2026, 12:00 PM - 1:00 PM AEDT
Wednesday 29 April 2026, 12:00 PM - 1:00 PM AEST
Wednesday 27 May 2026, 12:00 PM - 1:00 PM AEST
Wednesday 24 June 2026, 12:00 PM - 1:00 PM
Wednesday 29 July 2026 12:00 PM - 1:00 PM AEST
Wednesday 26 August 2026 12:00 PM - 1:00 PM AEST
Wednesday 30 September 2026 12:00 PM - 1:00 PM AEST
Wednesday 28 October 2026 12:00 PM - 1:00 PM AEDT
Wednesday 25 November 2026 12:00 PM - 1:00 PM AEDT

Slack Workspace link

Data Science SIG Monthly Catch Up (12 Nov 2026)

Thu, 12 Nov 2026 03:00:00 GMT

The Data Science SIG's monthly catch up is a place to share any ideas, challenges, cool tech, or anything else data science-related.

Each month we'll come with something new to discuss, but anyone is welcome to lead the discussion. Just let the DSSIG committee know!

The monthly meeting catch ups will be held via Zoom on the 2nd Thursday of each month, 2:00 - 3:00 PM (AEST).

Zoom link

2026 Dates

Thursday 11 June 2026 2:00 PM - 3:00 PM AEST
Thursday 9 July 2026 2:00 PM - 3:00 PM AEST
Thursday 13 August 2026 2:00 PM - 3:00 PM AEST
Thursday 10 September 2026 2:00 PM - 3:00 PM AEST
Thursday 8 October 2026 2:00 PM - 3:00 PM AEDT
Thursday 12 November 2026 2:00 PM - 3:00 PM AEDT

Statistical Consulting Network Monthly Meet-Up (25 Nov 2026)

Wed, 25 Nov 2026 01:00:00 GMT

Come along with your thinking cap, maybe a problem, and some lunch!

Zoom link

Password: 543284

Calendar invite: Stats Consulting Network meeting.ics

2026 Dates

Wednesday 25 February 2026, 12:00 PM – 1:00 PM AEDT
Wednesday 25 March 2026, 12:00 PM - 1:00 PM AEDT
Wednesday 29 April 2026, 12:00 PM - 1:00 PM AEST
Wednesday 27 May 2026, 12:00 PM - 1:00 PM AEST
Wednesday 24 June 2026, 12:00 PM - 1:00 PM
Wednesday 29 July 2026 12:00 PM - 1:00 PM AEST
Wednesday 26 August 2026 12:00 PM - 1:00 PM AEST
Wednesday 30 September 2026 12:00 PM - 1:00 PM AEST
Wednesday 28 October 2026 12:00 PM - 1:00 PM AEDT
Wednesday 25 November 2026 12:00 PM - 1:00 PM AEDT

Slack Workspace link

ADSN Conference 2026 (26 Nov 2026)

Wed, 25 Nov 2026 22:00:00 GMT

Join us in the nation’s capital for the annual Australian Data Science Network Conference. This year’s theme is From Data to Decisions, which focuses on impactful data science that informs decisions, changes minds, and shapes policy.

Conference registration covers both days of the conference and includes registration for the social event in the evening of the first day.

Visit the conference website for more details: Australian Data Science Network Conference 2026 – ADSN2026

Cancellation Policy

Refunds: Cancellations made more than two weeks before the event are eligible for a refund, minus: Stripe processing fee: 1.75% + $0.30 per transaction and SSA administration fee: $20. No refunds will be issued for cancellations made within two weeks of the event.

Transfer of Registration: Registrations can be transferred to another person within the same organisation at any time. Please notify changes via email: events@statsoc.org.au

ADSN Conference 2026 (27 Nov 2026)

Thu, 26 Nov 2026 22:00:00 GMT

Conference registration covers both days of the conference and includes registration for the social event in the evening of the first day.

Visit the conference website for more details: Australian Data Science Network Conference 2026 – ADSN2026

Cancellation Policy

Transfer of Registration: Registrations can be transferred to another person within the same organisation at any time. Please notify changes via email: events@statsoc.org.au