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• SSA Vic & Tas September 2024 Event

  • When
    17 Sep 2024
  •  
    6:00 PM - 7:00 PM
  • Location
    at CSIRO Hobart, or at Melbourne Hub RMIT or Online via teams

  Register

  Title: “Are AFL players peaking in performance at a younger age?”

  Speaker: Dr Shane A. Richards
  Dr Shane A. Richards is a Senior Lecturer in the School of Natural Sciences and has a PhD in mathematics. His research interests involve ecology and evolution. Specific interests include: evolutionary and community ecology, animal behaviour, life-history theory, disease dynamics, plant-pollinator interactions, and conservation biology. He has also worked on sports analytics. He has developed and combined his quantitative skills and research interests to form an international career in the areas of mathematical biology and statistical ecology. His research involves collaborations with a diversity of scientists (incl. ecologists, cell biologists, microbiologists) where a range of biological hypotheses are described and tested, often leading to real-world application (e.g. disease control, biological conservation).
  

  Abstract: 
  With the AFL finals underway, it’s an opportune moment to apply statistical methods to evaluate player performance and challenge our intuitions. Recently, very young players like Harry Sheezel and Nick Daicos have consistently performed exceptionally well despite their limited match experience. But is this trend becoming the new norm? In this talk, I will present a statistical analysis using match-day data to examine whether age-dependent match performance has evolved in recent years and assess the value of match experience. These insights are important for effective list management. Additionally, this analysis will objectively identify the best AFL players in recent years.

  Venue:
  CSIRO Auditorium Hobart (3 Castray Esplanade Battery Point) https://www.csiro.au/en/about/locations/state-locations/tas/hobart
  Melbourne Hub - RMIT, Building 15 Level 3 Room 10
  https://www.rmit.edu.au/content/dam/rmit/documents/maps/pdf-maps/rmit-melbourne-city-campus-map.pdf
  
  (also online via Teams)
  

  
  Time: Tuesday 17^th September 6-7pm

  We will be heading out to dinner after the talk with the speaker (details to follow).
  We will also be heading out to dinner at the Melbourne hub after the talk. 
  Please note that the meal is at your own expense.

  Non-CSIRO attendees will need to sign in to access the building, so we suggest you arrive at 5:45pm to avoid any delays. If you have any questions or want to alert our hub host that you are attending, please contact Paul Burch via Paul.Burch@csiro.au. If you arrive late you can contact Paul on 0421 569 189.

  
  

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• SSA QLD Branch Meeting: Almost all log-scale output is readily interpretable

  • When
    18 Sep 2024
  •  
    5:00 PM - 6:00 PM
  • Location
    223 Teaching Suite, 308 Queens St, Brisbane/Online

  Register

  Please join us in person or online for our September Queensland Branch Meeting. The seminar will start at 5:00 pm. Details for the seminar are provided below.

  TITLE: Almost all log-scale output is readily interpretable
  

  SPEAKER: Mark Chatfield, University of Queensland
  

  TIME: 5:00 - 6:30 pm (AEST), 18^st September 2024

  VENUE: 223 Teaching Suite, UQ Brisbane City, 308 Queen St, Brisbane and online (Zoom details will be sent with registration).
  Special instructions for in-person venue:

  Enter through the main door at 308 Queen Street and pass through the Atrium. Speak to the concierge at the elevator located at the back of the room, and notify them that you are attending the Statistical Society of Australia event.

  Please note that the seminar will be recorded and might be put on YouTube or similar platform.
  

  ABSTRACT:

  As statisticians, we frequently come across log-scale output when modelling binary, count, time-to-event and skewed continuous data. While log-scale regression coefficients, SDs, SEs, bias and RMSE can be exponentiated and interpreted, this is often not the only way. Building on the work of others, I will explain how almost all log_e-scale output is readily interpretable, without exponentiating. As well as seeing meaning in log-scale output, such knowledge provides more tools in the statistician’s toolbox. I will show this for the analysis of log-transformed data, the Cox model, random-effects meta-analysis of risk ratios, and the performance of odds ratio estimators.

  SPEAKER'S BIO:
  

  Mark Chatfield is a senior statistician at The University of Queensland Clinical Trials Centre. Since studying maths (BA, Oxford) and statistics (MSc, Southampton), he has worked as a statistician in health and medical research institutes and universities for 22 years. He is undertaking a PhD on tonight’s topic.

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• SSA NSW: Early Career and Student Statisticians Career Event 2024

  • When
    19 Sep 2024
  •  
    6:00 PM - 8:00 PM
  • Location
    The Bevery, the University of Sydney
  • Spaces left
    44

  Register

  The New South Wales branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual event for Early Career and Student Statisticians on Thursday 19th September 2024 at 6 pm. The event will take place at The Bevery, the University of Sydney (entrance is through the Courtyard Cafe or the Holme Building, there will be guides on the day).

  This year we have the pleasure of hosting a handful of inspiring early-career speakers and mid-career speakers, working in various industries. The speakers have been invited to share what they’ve learned, what they’ve achieved, what they’ve enjoyed and what surprised them, as well as, perhaps, what they don’t like, what they haven’t learned, and so on. We also have a number of senior industry speakers who have been invited to provide their sage advice, insights and general guidance to those interested in developing a fruitful career in the industry.

  Each speaker will give a 5-minute talk, followed by a networking session. Catering and drinks will be provided at the event. There will be plenty of opportunities for attendees to approach the speakers and each other freely.

  This is a free event for SSA members and we charge $20 for non-members at this event to cover operational costs. Reminder: non-member students can register for a one-year student membership for $20 with SSA NSW here and attend the event for free. 

  Meet our speakers

  Alan Maleki - Senior Quantitative Analyst - Australian Retirement Trust

  Alan Maleki is a Senior Quantitative Analyst at Australian Retirement Trust. Alan received a PhD in Statistics from UTS and a Bachelors in Mathematics & Finance with 1st Class Honours. He has continued to specialize in quantitative analytics with a focus in time series analysis and applied statistics with applications in finance. Alan previously worked at Commonwealth Bank Australia as a credit risk analyst and Prodigal Capital as a Quantitative Analyst. He ensures job satisfaction stays at the forefront of his career.
  

  Mahrita Harahap - Senior Cloud Solution Architect - Microsoft

  Mahrita Harahap is a Cloud Solution Architect in Data & AI at Microsoft and is skilled at leveraging data to derive actionable insights and solutions. She has extensive experience across academia and industry in sectors such as finance, defense, sports, media, retail, and not-for-profit. Mahrita has degrees in mathematics, statistics and cyber security. Prior to her current role she was Cyber Security Data Scientist at the Commonwealth Bank of Australia and Manager of Security Analytics at Woolworths Group. Mahrita is dedicated to pursue and promote science in her career, utilising it to protect our data, and making sure we are socially responsible when building models.
  

  Jenny Yu - Senior Data Analyst - NSW Department of Education 

  Jenny (Xiao) Yu is a Senior Data Analyst at Department of Education New South Wales, with expertise in data wrangling, data visualisation. She received a PhD in Statistics from University of Technology Sydney, and previously worked as a Senior Data Analyst at New South Wales Health and a Research Assistant at University of Technology Sydney and La Trobe. Her short term goal is to continue to expand her knowledge about statistical analysis techniques, while long term she hopes to strengthen her ability to communicate with non-technical stakeholders.
  

  Matthew Borg - Biostatistician - Datapharm Australia

  Matthew Borg is a Biostatistician at Datapharm Australia and is skilled in biostatistics and public  health research, with expertise in clinical trials and environmental epidemiology. Matthew’s career extends outside of the realm of biostatistics, having previously practiced as a medical doctor. He gained several qualifications during his studies including a PhD at University of Adelaide, where he received Dean's Commendation for Doctoral Thesis Excellence and was the Mace Bearer at his PhD ceremony, as well as BCA Star Graduate 2021. He aims to continue working as a biostatistician improving clinical trials and public health.
  

  Hafiz Khusyairi - Senior Data Scientist - NSW State Insurance Regulatory Authority

  Hafiz Khusyairi is a Senior Data Scientist, Advanced Analytics at NSW State Insurance Regulatory Authority (SIRA). He is skilled in mathematical and statistical modeling and machine learning with a PhD in Mathematics in 2017 from the Australian National University. Hafiz co-lead a team of 10 data analysts in a high pressure and high pace environment in COVID-19 Public Health Response Branch in NSW Health, and developed and maintained SIRA’s data science infrastructure, and prior to that was an academic researching pure mathematics. His professional goal is to continuously advance his expertise in mathematics, particularly as it applies to data science. Additionally, he wants to foster a team environment that encourages ongoing learning and the integration of new methods.
  

  Flynn Hill - Senior Biostatistician - NSW Ministry of Health

  Flynn Hill is a Senior Biostatistician at New South Wales Health, skilled in writing code and working with linked health data. He received several qualifications including a PhD in Biophysics from the University of Wollongong and a Master of Biostatistics where he was awarded ‘star graduate’ status. Prior to becoming a biostatistician Flynn worked in education analytics and was a postdoctoral researcher in biochemistry/biophysics. Flynn’s professional goal is to be able to keep working on interesting technical problems that can make a real-world difference, regardless of the field.
  

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

  Please note that all our events are governed by the Code of Conduct. This means that we absolutely do not tolerate unacceptable behaviour, including any form of harassment. This applies to both members and non-members. If you have any concerns, please contact Gordana (g.popovic@unsw.edu.au).

  
  

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• CPD 181- Machine Learning II

  • Start
    23 Sep 2024
  • End
    11 Nov 2024
  • Location
    Online- 1 hour a week
  • Spaces left
    2

  Registration is closed

  The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

  Places are limited, please register early to take advantage of early bird discounts and secure a place.
  

  Short Course Description

  Social scientists and survey researchers are confronted with an increasing number of new data sources such as apps and sensors that often result in (para)data structures that are difficult to handle with traditional modeling methods. At the same time, advances in the field of machine learning (ML) have created an array of flexible methods and tools that can be used to tackle a variety of modeling problems. Against this background, this course discusses advanced ML concepts such as cross validation, class imbalance, Boosting and Stacking as well as key approaches for facilitating model tuning and performing feature selection. In this course we also introduce additional machine learning methods including Support Vector Machines, Extra-Trees and LASSO among others. The course aims to illustrate these concepts, methods and approaches from a social science perspective. Furthermore, the course covers techniques for extracting patterns from unstructured data as well as interpreting and presenting results from machine learning algorithms. Code examples will be provided using the statistical programming language R.

  Timeframe:

  September 24 – November 11, 2024. Weekly meetings at the following times:

  ▪ Week 1: Tuesday, September 24, 8:00-9:00 am AEST

  ▪ Week 2: Tuesday, October 1, 5:00-6:00 pm AEST

  ▪ Week 3: Tuesday, October 8, 5:00-6:00 pm AEDT

  ▪ Week 4: Tuesday, October 15, 5:00-6:00 pm AEDT

  ▪ Week 5: Tuesday October 22, 10:00-11:00 am AEDT

  ▪ Week 6: Tuesday October 29, 10:00-11:00 am AEDT

  ▪ Week 7: Tuesday, November 5, 10:00-11:00 am AEDT

  ▪ Week 8: Tuesday, November 12, 8:00-9:00 am AEDT
  

  Course Objectives

  By the end of the course, students will… ▪  have a profound understanding of advanced (ensemble) prediction methods ▪ have built up a comprehensive ML toolkit to tackle various learning problems ▪ know how to(critically) evaluate and interpret results from ''black-box'' models

  Topics

  1. Intro: Bias-variance trade-off, cross-validation (stratified splits, temporal cv) and model tuning (grid and random search)

  2. Classification: Performance metrics (ROC, PR curves, precision at K) and class imbalance (over- and undersampling, SMOTE)

  3. Ensemble methods I: Bagging and Extra-Trees

  4. Ensemble methods II: Boosting (Adaboost, GBM, XGBoost) and Stacking

  5. Variable selection: Lasso, elastic net and fuzzy/ recursive random forests

  6. Support Vector Machines

  7. Advanced unsupervised learning: Hierarchical clustering and LDA

  8. Interpreting (Variable Importance, PDP, ...) and reporting ML results

  Your instructor: Prof. Christoph Kern

  Christoph Kern is Junior Professor of Social Data Science and Statistical Learning at the Ludwig-Maximilians-University of Munich and Project Director at the Mannheim Centre for European Social Research (MZES). He received his PhD in social science (Dr. rer. pol.) from the University of Duisburg-Essen in 2016. Before joining LMU Munich, he was a Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim and Research Assistant Professor at the Joint Program in Survey Methodology (JPSM) at the University of Maryland. His work focuses on the reliable use of machine learning methods and new data sources in social science, survey research, and algorithmic fairness.

   Your instructor: Prof. Trent Buskirk

  Current positions: ▪ Professor and Provost Data Science Fellow at Old Dominion University ▪ Novak Family Professor of Data Science, Chair and Director at Bowling Green State University ▪ Adjunct Research Professor at the University of Michigan

  Dr. Buskirk is a Fellow of the American Statistical Association. His research includes the areas of Mobile and Smartphone Survey Designs, methods for calibrating and weighting nonprobability samples, and the use of big data and machine learning methods for health, social and survey science design and analysis. His research has been published in leading journals such as Cancer, Social Science Computer Review, Journal of Official Statistics, and the Journal of Survey Statistics and Methodology.
  

  Prerequisites

  Topics covered in Introduction to Machine Learning and Big Data (ML I), i.e.:

  ▪ Conceptual basics of machine learning (training vs. test data, model evaluation basics)

  ▪ Decision trees with CART

  ▪ Randomforests Familiarity with the statistical programming language R is strongly recommended.

  Participants are encouraged to work through one or more R tutorials prior to the first-class meeting. Some resources can be found here:

  ▪ https ://rstudio.cloud/learn/primers

  ▪ http ://www.statmethods.net/

  ▪ https ://swirlstats.com/

  ▪ https ://www.rcommander.com

  Grading will be based on:

  ▪ 4 homeworkassignments (10% each)

  ▪ 8 onlinequizzes (5% each) 

  ▪ Participation in discussion during the weekly online meetings (20% of grade)

  Early Bird Deadline
  Please book before 5 July 2024 to take advantage of the Early Bird Deadline.

  Disclaimer
  
  Participants will receive access data for the online course, in particular to any learning platform that may be used. The rights of use connected to the access data are personally assigned to the participant. Passing on the access data is not allowed. Also, the temporary transfer to third parties is not permitted.
  The right to use the transmitted access data, in particular with regard to any materials or video recordings provided, can only be exercised up to a maximum of 2 months after the program end. After expiration of this 2-months period, the access data will be deleted by Mannheim Business School (MBS). Before the expiration of this period, the participant may view the respective recorded course as often as desired and without time restriction.
  If we have reasons to believe that the participant is abusing the right of use granted to him or that there is a violation of the terms of use, MBS reserves the right to change the participant’s access data as well as to partially or completely block the access or to prohibit the further use of the digital content.
  
  Group bookings
  
  For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.
  
  Cancellation Policy
  Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.
  
  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 onward 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.
  
  For any questions, please email events@statsoc.org.au

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• ECSSN and NZSA webinar: Analysing haphazard Surveys with mild-ish Assumptions with Gordana Popovic

  • When
    24 Sep 2024
  •  
    3:00 PM - 4:00 PM
  • Location
    Online

  Register

  While statisticians generally recommend collecting data via probability sampling, applied researchers studying humans frequently use haphazard and other non-probability samples to conduct surveys, and statistical consultants are regularly asked to help analyse such data. Principled analysis of non-probability samples relies on having reference data from probability samples or censuses, to adjust for non-response bias by say weighting or covariate adjustment. What can be done without auxiliary information?

  It is well known that odds ratios are invariant under certain types of selection bias, for example outcome dependent sampling, which is why we use them in case control studies. We extend these results to selection bias on both the outcome and predictor, by way of some assumptions about how these biases are related.

  In a collaboration on racial bias in police searches from a haphazard Facebook survey, where no auxiliary data was available, we used these assumptions to estimate odds ratios. We discuss how the assumptions were communicated with researchers so that their plausibility could be assessed by domain experts.

   

  Biography:

  
  

  Gordana Popovic completed her PhD in statistics and statistical ecology at UNSW in 2007, and has been working as a statistical consultant at Stats Central, UNSW Sydney every since. Her focus is on mentoring junior applied researchers to take a principled approach to quantitative research though teaching and collaboration.

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• ACT Branch Meeting -- Forecasting demand for Australian passports

  • When
    24 Sep 2024
  •  
    5:45 PM - 7:00 PM
  • Location
    In-person and online via Zoom

  SSA ACT invites everyone to attend its September Branch Meeting, where Edward Kang from the Australian Passport Office will be enlightening us with the details of the models they used to forecast passport demand.

  Details of the talk and its Zoom link are given below. 

  Date: Tuesday 24 September 2024 

  Time: Starts 5:45pm and finishes by 7pm    

  Speaker:  Edward Kang (Australian Passport Office)

  Venue: Superfloor, Level 6, Marie Reay Teaching Centre, Australian National University (MRTC ANU),  or via Zoom,  or via Zoom with details below.

  https://anu.zoom.us/j/86152392754?pwd=BbZDXIDXUgL9VdjZhW41ZpcdTQWRGj.1

  
  

  Topic: Forecasting demand for Australian passports – the official model developed wholly within Australian Passport Office

  Abstract: Prediction of human behaviour in the ‘real world’ is often challenging, as there is a plethora of factors that influence people and some of them occur completely randomly. This challenge is exacerbated when the same factor in the same environment can have different degrees of impacts on different individuals. However, this challenge becomes more manageable when you discover the underlying driver in their behaviour which you can convert to quantitative predictor variables. At the Australian Passport Office, we have analysed data collected over two decades to identify the right attributes to forecast passport demand, and we have used a traditional machine learning technique, random forest, to produce forecast models that were proven to show high accuracy even during and after the COVID-19.

  Biography: Edward Kang is the current author of the official forecast model for Australian passports demand. Edward has over 15 years of hands-on experience in the data science and advanced analytics roles. Some of his achievements include: 

  • Australia’s first ML-based air passenger screening model piloted at the Department of Immigration and Citizenship,
  • Australia’s first ML-based sea cargo screening model deployed at the Australian Customs and Border Protection Services and 
  • The first ML-based individualised marketing offer model at Vodacom, Democratic Republic of Congo. 

  All of the above examples have significantly improved the targeted business outcome and advanced the organisations ahead of their game at the time.

  Edward has also worked with other large corporate enterprises in telecommunication and energy industries in Australia and is now a Lead Data Scientist at the Australian Passport Office.

  Catering: To assist in catering, please let me know if you are attending in person by 5pm Monday 23 September by entering your details at attendance sheet, or contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).

  -----------------

  Topic: SSA Canberra branch meeting
  Time: Sep 24, 2024 05:45 PM Canberra, Melbourne, Sydney
  
  Join Zoom Meeting
  https://anu.zoom.us/j/86152392754?pwd=BbZDXIDXUgL9VdjZhW41ZpcdTQWRGj.1
  
  Meeting ID: 861 5239 2754
  Password: 904048
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• CPD-184 Introduction to Large Language Models for Statisticians

  • When
    15 Oct 2024
  •  
    1:30 PM - 5:00 PM
  • Location
    Online
  • Spaces left
    0

  Join waitlist

  The Early Career and Student Statisticians Network is warmly invites you to an introductory workshop on Large Language Models for Statisticians presented by Dr Emi Tanaka. 

  About the workshop:

  This workshop serves as an introduction to Large Language Models (LLMs), specifically tailored for statisticians. The concept behind LLMs are distilled and presented in a way that is accessible and relevant to those with a background in statistics. The workshop will help participants understand how LLMs can be integrated into existing workflows. Practical applications will be demonstrated primarily through the R programming language. Participants will receive all R codes used in the demonstration, enabling them to replicate the analyses and continue exploring LLMs on their own.

  Learning objectives:

  • Understanding the fundamental concepts of large Language models (LLMs)  and Generative Artificial Intelligence (genAI).
  • Exploring the role LLMs in modern data analysis and decision-making.
  • Gain insight into practical applications of LLMs in various domains.

  
  

  About the presenter:

  Dr Emi Tanaka is an Applied Statistician and Deputy Director at the Biological Data Science Institute at the Australian National University. Her primary interest is developing impactful methods and tools practitioners can readily use. She delivers numerous statistical workshops including data visualisation, data wrangling, reproducible practices, statistical modelling and statistical consulting. She was the inaugural recipient of the SSA Distinguished Presenter's Award based on the delivery of her workshops.

  Target audience:

  The workshop is suitable for statisticians, data analysts and professionals with a background in statistics who are interested in exploring the applications and implications of Large Language Models.

  
  

  Requirements:

  • Computer
  • Stable internet connection.
  • Install the video conferencing software, zoom and know how to use it.
  • Basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)

  Please note that some participants may have difficulty installing the software ollama (particularly Window users). Detailed instructions for installing the necessary software including ollama, will be provided.  However, technical assistance for software installation is beyond the scope of the workshop, so participants will need to manage the installation on their own.  

  Desirable:

  • Microphone and web camera.
  • Some familiarity with R.
  • Admin rights to their computer to install software like ollama (https://ollama.com/) and R package.
  • Basic understanding of machine learning concepts.

  Timetable:

  1:30-3:00pm session 1

  3:00-3:30 Break

  3:30-5:00pm Session 2

  All profits from this workshop will be given as a sponsorship to the SSA to support early career statisticians.

  Cancellation Policy
  Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.
  
  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 onward 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.
  
  For any questions, please email events@statsoc.org.au

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• Women in STEM Careers and Entrepreneurship Masterclass

  • Start
    21 Oct 2024
  • End
    23 Oct 2024
  • Location
    Level 9, Paramatta City Campus, Western Sydney University.

  Join the Women in STEM Careers and

  Entrepreneurship Masterclass this October!

  Unlock your potential at the upcoming Women in STEM Careers and Entrepreneurship Masterclass, hosted by the Australian Mathematical Sciences Institute and Western Sydney University. This exclusive event will take place from 21 - 23 October at the Parramatta City Campus, Western Sydney University.

  Designed for women STEM researchers, this masterclass offers a unique opportunity to delve into Australia’s research commercialisation and innovation ecosystem. Gain insights directly from industry and university experts in research innovation, and hear success stories from researchers who have transitioned into leading roles in startups or R&D teams.

  Who should attend?

  If you are a STEM research student or an early to mid-career researcher, this masterclass is tailored for you. We especially encourage those who have participated in an APR Internship, funded by APR’s WISE program, to take advantage of available sponsorships covering accommodation and travel expenses.

  Event Details

  • Time and Date: 9am - 5pm AEDT, 21 - 23 October 2024.
  • Location: Level 9, Paramatta City Campus, Western Sydney University.
  • Cost: $130 GA, Free for APR.Intern WiSE subsidy recipients.

  Join us at the forefront of STEM innovation and entrepreneurship.

  We look forward to welcoming you to Sydney this October!

  For more information and to register click here.

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• ECSSC 2024 Christchurch Hub Registration

  • Start
    18 Nov 2024
  •  
  • End
    21 Nov 2024
  •  
  • Location
    University of Canterbury, Christchurch NZ

  Register

  This registration page is sponsored by:

  
  

  The Early Career & Student Statisticians Conference (ECSSC) is a biennial conference held during the interstitial years of the Australian Statistical Conference (ASC).

  It is jointly organised by the ECSS Network of the Statistical Society of Australia (SSA), and the Student and Early Career Statisticians Network (SECS) of the New Zealand Statistical Association (NZSA).

  For 2024, we are excited to coordinate three local hubs: Perth, Hobart, and Christchurch; as well as offer a livestream.

  Aims

  The aims of this event are:

  Provide an opportunity to socialise and share ideas amongst peers.

  Build and expand professional networks for mutual support and collaboration.

  Discuss new techniques and technologies applicable to statistics and data science.

  Promote the role of statistics in academia, government, and industry.

  An “Early Career or Student Statistician” is anyone who is currently studying statistics or data science, or has graduated in the last five years and works with statistics. There is no age restriction.

  It will pay to join the SSA and enjoy all the benefits, like discount rates on this conference.

  Full-time student membership ($20)

  Discounted student membership of SSA is available to those who are engaged in full-time studies and do not have an income. If you earn a salary you will generally not qualify for student membership. If you are unsure of your status please feel free to contact SSA at eo@statsoc.org.au with information about your student status and employment status (full-time, part-time, casual or permanent, name of employer) and an individual assessment will be made.

  Please email evidence of your current full-time enrolment status to SSA’s membership officer to eo@statsoc.org.au after signing up. This can be either a copy of the student identity card issued by the educational institution or a document providing evidence signed and verified by the institution. If proof of full-time student status has not been received within 14 days of signing up with SSA, the membership application will be rejected and a refund issued, minus a $10 admin fee.

  Student members will receive the weekly SSA newsletter and have online access to four copies of the "Australian and New Zealand Journal of Statistics" and six electronic issues of "Significance" each year.

  Early Career Membership ($140)

  This discounted level of membership is available to members transitioning or having transitioned from full-time university studies to employment within the last three years. The fee is half the cost of full membership, with all the benefits of full membership.

  Format

  ECSSC2024 is a hybrid event held over four half-days across three in-person hubs. For the best experience, delegates are strongly encouraged to attend one of these hubs either in Perth, Hobart, or Christchurch. Nevertheless, presenters at each hub will be livestreamed to the other hubs and to the online audience.

  
  

  
  

  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 onward 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.
  
  For any questions, please email events@statsoc.org.au

  
  

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• Early Career & Student Statisticians Conference 2024

  • Start
    18 Nov 2024
  • End
    21 Nov 2024
  • Location
    Hobart, Perth, New Zealand

  Join us for the biennial Early Career & Student Statisticians Conference (ECSSC). Organised by the ECSS Network of SSA and SECS Network of NZSA, this event offers invaluable insights and networking opportunities.

  This year, we're excited to host local hubs in Perth, WA, Hobart, Tasmania and Christchurch, New Zealand, as well as a livestream option. Don't miss out on this incredible experience!

  To register for the Perth Hub click here.

  To register for the Hobart Hub click here.

  To register for the Christchurch Hub click here.

  If you intend on attending online, click any of the hubs to register.
  

  Important Dates:

  • 1 July 2024: Call for abstracts
  • 11 July 2024: Registrations open
  • 26 July 2024: Deadline for abstract submission

  Please note that these dates might be adjusted as the conference approaches. The conference website is  https://ecssc2024.netlify.app/
  
  

   This registration page is sponsored by:

  Show details
• ECSSC 2024 Hobart Hub Registration

  • Start
    18 Nov 2024
  •  
  • End
    21 Nov 2024
  •  
  • Location
    University of Tasmania, Hobart Tas

  Register

  This registration page is sponsored by:

  
  

  The Early Career & Student Statisticians Conference (ECSSC) is a biennial conference held during the interstitial years of the Australian Statistical Conference (ASC).

  It is jointly organised by the ECSS Network of the Statistical Society of Australia (SSA), and the Student and Early Career Statisticians Network (SECS) of the New Zealand Statistical Association (NZSA).

  For 2024, we are excited to coordinate three local hubs: Perth, Hobart, and Christchurch; as well as offer a livestream.

  Aims

  The aims of this event are:

  Provide an opportunity to socialise and share ideas amongst peers.

  Build and expand professional networks for mutual support and collaboration.

  Discuss new techniques and technologies applicable to statistics and data science.

  Promote the role of statistics in academia, government, and industry.

  An “Early Career or Student Statistician” is anyone who is currently studying statistics or data science, or has graduated in the last five years and works with statistics. There is no age restriction.

  It will pay to join the SSA and enjoy all the benefits, like discount rates on this conference.

  Full-time student membership ($20)

  Discounted student membership of SSA is available to those who are engaged in full-time studies and do not have an income. If you earn a salary you will generally not qualify for student membership. If you are unsure of your status please feel free to contact SSA at eo@statsoc.org.au with information about your student status and employment status (full-time, part-time, casual or permanent, name of employer) and an individual assessment will be made.

  Please email evidence of your current full-time enrollment status to SSA’s membership officer to eo@statsoc.org.au after signing up. This can be either a copy of the student identity card issued by the educational institution or a document providing evidence signed and verified by the institution. If proof of full-time student status has not been received within 14 days of signing up with SSA, the membership application will be rejected and a refund issued, minus a $10 admin fee.

  Student members will receive the weekly SSA newsletter and have online access to four copies of the "Australian and New Zealand Journal of Statistics" and six electronic issues of "Significance" each year.

  Early Career Membership ($140)

  This discounted level of membership is available to members transitioning or having transitioned from full-time university studies to employment within the last three years. The fee is half the cost of full membership, with all the benefits of full membership.

  Format

  ECSSC2024 is a hybrid event held over four half-days across three in-person hubs. For the best experience, delegates are strongly encouraged to attend one of these hubs either in Perth, Hobart, or Christchurch. Nevertheless, presenters at each hub will be livestreamed to the other hubs and to the online audience.

  
  

  
  

  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 onward 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.
  
  For any questions, please email events@statsoc.org.au

  
  

  Show details
• Expression of interest for financial assistance to attend ECSSC 2024

  • Start
    18 Nov 2024
  • End
    21 Nov 2024
  • Location
    Christchurch, Hobart, Perth or online

  Register

  Thank you for your interest in attending the Early Career and Student Statistician Conference.

  Eligibility criteria:

  • You are a student.
  • You do not have a company or university that can cover your registration fees.
  • Presentation is not required for eligibility.
  •  Have registered to attend the conference.( We will focus on in-person attendance but will also offer an option to attend online.)
  •  The scholarship will offset the early-bird registration fee $200
  •  Applicants will need to write briefly about how attending conference will  benefit them.
  • Recipients will be asked to write a blurb for newsletter
  • 
    

  If you have registered your interest, please register now for the conference and hold off on paying the invoice. We look forward to your participation!

  
  

  Show details
• ECSSC 2024 Perth Hub Registration

  • Start
    18 Nov 2024
  •  
  • End
    21 Nov 2024
  •  
  • Location
    Curtin University, Perth WA

  Register

  This registration page is sponsored by:
  

  The Early Career & Student Statisticians Conference (ECSSC) is a biennial conference held during the interstitial years of the Australian Statistical Conference (ASC).

  It is jointly organised by the ECSS Network of the Statistical Society of Australia (SSA), and the Student and Early Career Statisticians Network (SECS) of the New Zealand Statistical Association (NZSA).

  For 2024, we are excited to coordinate three local hubs: Perth, Hobart, and Christchurch; as well as offer a livestream.

  Aims

  The aims of this event are:

  Provide an opportunity to socialise and share ideas amongst peers.

  Build and expand professional networks for mutual support and collaboration.

  Discuss new techniques and technologies applicable to statistics and data science.

  Promote the role of statistics in academia, government, and industry.

  An “Early Career or Student Statistician” is anyone who is currently studying statistics or data science, or has graduated in the last five years and works with statistics. There is no age restriction.

  It will pay to join the SSA and enjoy all the benefits, like discount rates on this conference.

  Full-time student membership ($20)

  Discounted student membership of SSA is available to those who are engaged in full-time studies and do not have an income. If you earn a salary you will generally not qualify for student membership. If you are unsure of your status please feel free to contact SSA at eo@statsoc.org.au with information about your student status and employment status (full-time, part-time, casual or permanent, name of employer) and an individual assessment will be made.

  Please email evidence of your current full-time enrolment status to SSA’s membership officer to eo@statsoc.org.au after signing up. This can be either a copy of the student identity card issued by the educational institution or a document providing evidence signed and verified by the institution. If proof of full-time student status has not been received within 14 days of signing up with SSA, the membership application will be rejected and a refund issued, minus a $10 admin fee.

  Student members will receive the weekly SSA newsletter and have online access to four copies of the "Australian and New Zealand Journal of Statistics" and six electronic issues of "Significance" each year.

  Early Career Membership ($140)

  This discounted level of membership is available to members transitioning or having transitioned from full-time university studies to employment within the last three years. The fee is half the cost of full membership, with all the benefits of full membership.

  Format

  ECSSC2024 is a hybrid event held over four half-days across three in-person hubs. For the best experience, delegates are strongly encouraged to attend one of these hubs either in Perth, Hobart, or Christchurch. Nevertheless, presenters at each hub will be livestreamed to the other hubs and to the online audience.

  
  

  
  

  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 onward 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.
  
  For any questions, please email events@statsoc.org.au

  
  

  Show details
• 9th Biennial ACSPRI Social Science Methodology Conference

  • Start
    27 Nov 2024
  • End
    29 Nov 2024
  • Location
    Holme Building, University of Sydney

  ACSPRI is a consortium of universities, government research agencies and not-for profit research organisations, established as a non-profit organisation in 1976 to support and promote social science. They run intensive courses on both qualitative and quantitative research methods; develop Open source computer-assisted survey software; and undertake survey and infrastructure projects for researchers from member organisations.

  The ACSPRI conference is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts and contexts.

  CALL FOR PAPERS: 9th Biennial ACSPRI Social Science Methodology Conference 2024

  Conference dates: Wednesday November 27 – Friday November 29, 2024

  Venue: Holme Building, The University of Sydney, Sydney, Australia

  The call for papers is now open. We welcome proposals for presentations (abstract reviewed), short videos and posters. Submissions close on 20 September 2024.

  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 three 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).
  3. Short videos (5 minutes) - including a student short video competition (abstract in the conference proceedings).

  More details will appear on the conference website soon

  Some important dates:

  • Late August 2024: Earlybird registration opens
  • 20 September 2024: Abstract submission closes
  • 11 October 2024: Earlybird registration closes
  • 13 November 2024: Final date for submission of short videos
  • 27 November 2024: Conference opens

  Show details
• The International Environmetrics Society (TIES) Conference 2024

  • Start
    2 Dec 2024
  •  
  • End
    5 Dec 2024
  •  
  • Location
    Adelaide

  The International Environmetrics Society (TIES) is a non-profit organization aimed to foster the development and use of statistical and other quantitative methods in the environmental sciences, environmental engineering and environmental monitoring and protection. To this end, the Society promotes the participation of statisticians, mathematicians, scientists and engineers in the solution of environmental problems and emphasizes the need for collaboration and for clear communication between individuals from different disciplines and between researchers and practitioners.

  All contributions related to environmetrics are welcome from across academia, research institutes, government, business and industry.

  For information on the conference click here.

  Key Dates:

  Deadline for Invited Paper Sessions	15th July 2024
  Deadline for Contributed Papers	15th Aug 2024
  Invited paper contributors informed of outcome	31st July 2024
  Contributed paper authors informed of outcome	9th Sept 2024
  Registration opens	15th July 2024
  Deadline for early registration	23rd Sept 2024

  
  

  For questions contact: John Boland john.boland@unisa.edu.au

  
  

  Show details
• International Statistics Conference ISC 2024

  • Start
    28 Dec 2024
  •  
  • End
    29 Dec 2024
  •  
  • Location
    Sri Lanka

  
  

  Show details
• Logistic Regression 5 Day Masterclass

  • Start
    24 Feb 2025
  • End
    28 Feb 2025
  • Location
    Deakin University’s Melbourne CBD campus 727 Collins Street, Docklands VIC 3008

  Deakin Epidemiology is pleased to offer a summer Masterclass focused on Logistic regression to be delivered by arguably the world’s most famous teacher of this statistical technique – Prof. Stanley Lemeshow. In years past, Lemeshow together with Ken Rothman offered back-to-back masterclasses in Biostats and Epi in Tasmania which were a bit of an institution, with many epidemiologists and biostatisticians building their knowledge and networks by heading south for a healthy dose of upskilling or as a refresher. Stan has agreed to offer this program onshore once again in Australia, this time at Deakin University’s Melbourne CBD campus 727 Collins Street, Docklands VIC 3008.

  This 5-day course (Feb 24-28, 2025) will provide theoretical and hands-on practical knowledge and skills in statistical modeling with an in-depth focus on logistic regression analysis – the standard method for regression analysis of binary, multinomial and ordinal response data in health research. Each day comprises a 4-hr class in the morning and a 2-hr practical session in the afternoon and opportunities to network with fellow health and medical practitioners and researchers.”

  Places are limited, so get in early! For more information click here!”

  
  

  Show details
• Biometrics in the Bush Capital 2025 - external event

  • Start
    24 Nov 2025
  • End
    28 Nov 2025
  • Location
    Canberra

  Come join the International Biometrics Society Australasian Region's biannual conference in the bush capital Canberra!

  https://biometricsociety.org.au/conference2025/

  Show details