Events listing - SSA events

To have your event added to this list, please forward the event details, including url, to eo@statsoc.org.au.

Upcoming events

    • 27 Mar 2019
    • 5:30 PM - 7:00 PM (UTC+10:30)
    • University of Adelaide, North Terrace Room: Engineering & Math EM213

    Annual General Meeting Announcement of the South Australian Branch of the Statistical Society of Australia

    AGENDA

    1.               Apologies
    2.               Minutes of the 2018 Annual General Meeting
    3.               Annual Report
    4.               Election of Returning Officer, Branch officers, Council and Public Officer
    5.               Treasurers Report
    6.               Election of Auditor
    7.               Any other business
    8.               Speaker: Claire Clarke (ABS).

      Please note only financial members of the society will be eligible to vote in person, or by proxy. While a number of council members are willing to stand for office again, this is a first call for nominations for the positions of: President, Vice-President, Secretary and Treasurer and, Councilor positions assist in the following tasks related to local activities and the relationship with the central SSAI: Newsletter correspondent, Young Stats organiser(s), Website coordinator, Speaker program manager.

      Nominations are called for all positions and may be communicated to the Secretary Aarti Gulyani (aartigulyani@gmail.com or 0425955277) before the meeting or may be made from the floor at the meeting.


      Speaker: Claire Clarke

      Title: Conditional selection for sample coordination

      Abstract: Sample coordination is the management of the selection of many samples, including rotating panel surveys, from the same population without overburdening that population. In the design-based framework used by many statistical agencies all units must have a known probability of selection to avoid bias. Avoiding (or returning to) a previously selected unit under this condition can be difficult, and becomes more difficult as the number of surveys becomes larger. The ABS is in the process of adopting a new method for sample coordination called 'Conditional Selection'. This method performs sample coordination at the unit level (where current practices coordinate samples only at the stratum level, with obvious deficiencies), and allows considerably more flexibility in sample design. In this talk I will outline the basic principles of conditional selection, and touch on some of the recent innovations we have developed to expand the method.

      Biography: Claire Clarke has an honours degree in theoretical physics from the University of Adelaide and has worked in the Methodology Division of the Australian Bureau of Statistics for 18 years. In that time, she has worked on problems that include sampling rare populations, statistical quality control, and dealing with missing data. Her current statistical interests include data cleaning, machine learning methods, and sample coordination.

      Dinner: After the AGM, all are welcome to adjourn with the speaker to Cafe Brunelli, 187 Rundle Street, Adelaide.

      Please rsvp for dinner to aartigulyani@gmail.com by 25th March 2019.


      • 2 Apr 2019
      • 5:00 PM - 5:45 PM
      • GP-J-212, J Block, Gardens Point Campus, QUT

      STATISTICAL SOCIETY OF AUSTRALIA QUEENSLAND BRANCH ANNUAL GENERAL MEETING 2019

      1. Welcome: apologies and proxies

      2. Minutes of the 2018 Annual General Meeting

      3. Matters arising from the Minutes of the 2018 Annual General Meeting

      4. Reports

      4.1. President’s Report

      4.2. Treasurer’s Report

      5. Election of Office Bearers

      5.1. Election of President

      5.2. Election of Secretary

      5.3. Election of Treasurer

      5.4. Election of Councillors

      6. Appointment of Honorary Auditor

      7. Any Other Business

      There will be an Ordinary Branch Meeting at 6:00pm after the AGM, at the same venue.

      Speaker:   Dr Dan Pagendam, Senior Research Scientist, CSIRO Data61

      Title:         Statistical Modelling to Support Successful Mosquito Biocontrol Programs

                         See separate Branch Event Notice

      CALL FOR NOMINATIONS FOR PRESIDENT AND MEMBERS OF BRANCH COUNCIL

      Nominations are called for the positions of President, Secretary, Treasurer and members of Branch

      Council for 2019 in accordance with Rule 12b of the Branch. Nominations should be received, in

      writing, by the Secretary, on or before Tuesday 2 April 2019. Such nominations shall be signed by at least two members, and shall be accompanied by the candidate's written statement of willingness to stand. Nomination forms will also be provided at the AGM.

      Please scan and email written nominations to:

      Email:  qld.ssai@gmail.com or dimitrios.vagenas@qut.edu.au
                  (SSAI-QLD branch secretary: Dimitrios Vagenas)


      SSA QUEENSLAND BRANCH COMMITTEE NOMINATION FOR 2019

      I hearby nominate ________________________________________ for the position of Branch

      Councillor for 2019.


      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)

      I second the nomination                                                      I accept the nomination                                              


      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)

      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)



      SSA QUEENSLAND BRANCH EXECUTIVE NOMINATION FOR 2019

      I hearby nominate ________________________________________ for the position of (please circle an option) President/Secretary/Treasurer for 2019.


      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)

      I second the nomination                                                             I accept the nomination                                              


      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)

      ____________________________(Signature)

      ______________________________ (Name)

      ______________________________ (Date)




      • 2 Apr 2019
      • 5:45 PM - 7:00 PM
      • Queensland University of Technology, Gardens Point, J Block, GP-J-212

      TIME: 5:45 pm for refreshments followed by talk at 6pm

      There will be an annual general meeting held at 5pm prior to the talk

      COST: Free

      TITLE: Statistical Modelling to Support Successful Mosquito Biocontrol Programs

      Dr Dan Pagendam, Senior Research Scientist, CSIRO Data61


      ABSTRACT: Aedes aegypti is a mosquito, originating from Africa but now ubiquitous across many of the tropical and subtropical regions of the world. This small insect is responsible for vectoring several life-threatening viruses including Zika, Dengue and Chikungunya, and consequently it is regarded as a serious threat to public health. In recent years, a number of biocontrol strategies have shown great promise for either suppressing Ae. Aegypti populations or blocking the disease vectoring capability of the mosquito completely. A popular suppression strategy is the Sterile Insect Technique (SIT), which involves rearing and releasing large numbers of sterile male mosquitoes into the wild population, effectively reducing the number of viable offspring produced per mated female. Repeated release of sterile male insects has proven to be effective for complete eradication of some insect pests (e.g., the screw-worm fly in North America).

      In this talk, I will discuss the role of statistics in the Debug Innisfail project and how stochastic and statistical modelling underpinned a successful mosquito suppression program in Innisfail, Queensland over the summer of 2017/18.  In particular, I will discuss : (i) the use of physically motivated statistical models for mosquito dispersal in urban landscapes; (ii) the use of Markov Population processes for SIT program design; and (iii) how R Shiny can be used as a collaborative tool for geographically isolated teams.

      BIOGRAPHY: Dan is a senior research scientist at CSIRO Data61 where he works on problems at the interface of the environmental sciences and statistics.  Dan holds a Bachelor of Environmental Science in Ecology, a Master of Science in Statistics and Doctor of Philosophy in Mathematics and Statistics.  Dan’s main research interests are in stochastic modelling, Bayesian statistics and the use of machine learning methods for model emulation.  In recent years, Dan has been part of multidisciplinary project teams that won the CSIRO Impact from Science medal (2017) and the CSIRO Chairman’s Award (2018).

      Membership: Keep your community strong, SSA provides a place for networking, opportunities for professional development and accreditation. In a world of alternative facts, professional bodies play an increasing important role in sharing and dissemination of trusted information.  You can make a difference, get involved in your local branch, Student membership is only $20. For more details click here

      • 29 Apr 2019
      • 8:40 AM
      • 30 Apr 2019
      • 12:30 PM
      • Sydney Business School, University of Wollongong Gateway Building Level 10, 1 Macquarie Place, Circular Quay, Sydney

      A 1.5 Day Workshop in Sydney presented by Noel Cressie and Andrew Zammit Mangion, (NIASRA, UOW)

      Good scientific data collection involves a protocol that specifies where (i.e., spatial locations) and when (i.e., temporal instants) measurements are taken. Scientists want to answer “why” questions, and often space and time play critical roles. This workshop offers an intermediate-level and hands-on introduction to spatio-temporal statistical modelling with R, using case studies drawn from the environmental and ecological sciences.

      The Course

      This 1.5-day workshop is based on the book by Wikle, Zammit-Mangion, and Cressie, Spatio-Temporal Statistics with R, published in 2019 by Chapman & Hall/CRC Press and freely available for download from https://spacetimewithr.org . It considers a systematic approach to analysing spatio-temporal data, with a particular emphasis on hierarchical (empirical and Bayesian) statistical modelling. The course, which is endorsed as an activity of the Environmental Statistics Section of the Statistical Society of Australia (SSA), will cover the following topics in spatio-temporal statistics:

      • Key concepts of hierarchical modelling; overview of requisite background in spatial statistics.
      • Data wrangling with spatio-temporal data.
      • Spatio-temporal data classes in R.
      • Visualisation of spatio-temporal data using lattices and grammar of graphics.
      • EDA for spatio-temporal data (including visualisation and empirical dimension-reduction) in R.
      • Standard statistical models for spatio-temporal data.
      • Covariance functions and spatio-temporal kriging in practice.
      • Rank-reduced spatio-temporal modelling approaches.
      • Dynamic spatio-temporal modelling.

      A sizeable portion of the workshop is hands-on. Participants are required to bring their own laptop with R, v3.3 or higher, installed. A list of required packages will be sent to the attendees prior to the workshop. Participants will receive a printed copy of the slides used in the presentations.

      Target Audience

      This course is aimed at researchers and students with a Bachelor-level understanding of probability, statistical inference, and matrix algebra. Basic fluency in R will be assumed.

      Instructors

        Noel Cressie, FAA is Director of the Centre for Environmental Informatics within  the National Institute for Applied Statistics Research Australia (NIASRA) and Distinguished Professor in the School of Mathematics and Applied Statistics (SMAS), University of Wollongong, Australia. He is the author of four books including Statistics for Spatial Data, rev. edn (Wiley, 1993), Statistics for Spatio-Temporal Data written with Christopher K. Wikle (Wiley, 2011), and the book upon which this workshop is based. Among many honours, Noel has received the 2014 Pitman Medal from the Statistical Society of Australia (SSA) and was elected a Fellow of the Australian Academy of Science in 2018.

        Andrew Zammit Mangion is Senior Lecturer and DECRA Research Fellow in NIASRA and SMAS, University of Wollongong, Australia. He is co-author of two books, including one upon which this workshop is based, and he has published over 20 peer-reviewed articles in the field of spatial and spatio-temporal statistics. He is also the author of a number of related R packages available on CRAN. In 2013, Andrew was awarded a US National Academy of Sciences prize for his work on the modelling and prediction of armed conflicts.

      Fees and Information

      Early Bird Registration (up to 12 April)

      General: $550
      Member SSA: $450
      Student non-member SSA*: $300
      SSA student member*: $250

      Registration after 12 April 2019

      General: $600
      Member SSA: $500
      Student non-member SSA*: $350
      SSA student member*: $300

      *SSA student membership for one year costs $20. To join, visit https://www.statsoc.org.au/How-to-join


      Attendees are responsible for arranging their own accommodation.

      Schedule:

      Monday 29 April: Registration 8:40am; course from 9:00am to 4:30pm
      Tuesday 30 April: Course from 9:00am to 12:30pm
      Breaks: Morning and afternoon coffee/tea during the course and lunch on Monday 29 April are included in the course fee.

      Registration

      Places are limited, and registrations will be processed on a first-come first-served basis. Please fill out the registration form available from https://niasra.uow.edu.au and e-mail it to Karin Karr (karink@uow.edu.au). Registration will be confirmed via an e-mailed receipt, once payment has been received. A certificate of attendance will be given at the end of the course.

      Refund Policy

      A refund minus a 20% cancellation fee will be given for cancellations up to 12noon (AEST), Friday 19 April, 2019. Beyond this deadline, no refunds will be given.

      For further information, please contact Karin Karr (karink@uow.edu.au, +61 2 4221 5076).

                      

      • 2 May 2019
      • Sydney, Australia

      Showcasing the latest and most innovative applications of data to drive experience

      In its 15th consecutive year, Data Day will bring you the leading minds in data & analytics, digital and marketing to showcase the data strategies driving success at the world’s biggest brands.

      The speakers at Data Day 2019 will discuss how data & analytics can deliver on business objectives, how data programs are being used to transform customer communication, insights into GDPR adoption in Australia as well as hands on case studies on what tools marketers use to democratise data.

      Learn how to overcome data challenges within your own organisation in order to better engage with new and existing customers.

      • 4 May 2019
      • Melbourne, Australia

      Showcasing the latest and most innovative applications of data to drive experience - In its 15th consecutive year, Data Day will bring you the leading minds in data & analytics, digital and marketing to showcase the data strategies driving success at the world’s biggest brands.

      The speakers at Data Day 2019 will discuss how data & analytics can deliver on business objectives, how data programs are being used to transform customer communication, insights into GDPR adoption in Australia as well as hands on case studies on what tools marketers use to democratise data.

      Learn how to overcome data challenges within your own organisation in order to better engage with new and existing customers.


      • 7 May 2019
      • 9:00 AM
      • 8 May 2019
      • 6:00 PM
      • Chirnside Park, Australia

      The Chief Data & Analytics Officer Exchange brings together the most innovative and insightful technology leaders across industries for in-depth discussions and exchanges of experience and ideas to address the emerging landscape of digital business in a digital economy. The event focuses on developing an enterprise-wide data strategy, enabling data-driven decision making across the business, and building organizational capability for advanced analytics.

      • 16 May 2019
      • 9:00 AM - 4:30 PM
      • UNSW Sydney, Kensington
      Register

      This short course focuses on model selection techniques for linear and generalised linear regression in two scenarios: when an extensive search of the model space is possible as well as when the dimension is large and either stepwise algorithms or regularisation techniques have to be employed to identify good models. We incorporate recent research on graphical tools for model choice and on how to tune regularisation procedures, such as the Lasso through resampling or model selection criteria. Importantly, the limitations of the various model selection procedures will be discussed. A key component of the course is assessing the stability of selected components which is paramount for reliable predictive final models. We show how this can be achieved through visualizing measures of stability.

      The practical implementation of the discussed methods is an essential component of this course. Interactive labs will give participants the opportunity to apply what they have learnt. We will use the cross-platform, open-source software R, in particular the leaps, bestglm, glmnet and the mplot packages.

      Part 1: Exhaustive model searching with leaps and bestglm packages.

      Part 2: Penalised regression methods as fast alternatives when exhaustive search is not possible. An introduction to cross-validation for model selection and the glmnet package.

      Part 3: Assessing stability in model selection by bootstrapping regression models and visualising the results using advanced graphics with the mplot package.

      Learning Objectives
      The aim of all analyses is to use the data and, if available, information about its generating process, to construct statistical models which parsimoniously describe relevant and important features in the data. Too often in applied statistics, model selection is based on outdated methods, for example stepwise techniques. This workshop will highlight the limitations of established model selection methods and showcase more recent approaches for selecting with a focus on selecting a stable model.

      Target Audience
      Statistical model building is a fundamental part of many statistical analyses and will be of potential interest to anyone who wants to learn how to better select such models with increasingly high-dimensional and complex data.

      Presenter Biographies

      Samuel Mueller is a Professor of Statistics at the University Sydney and has 16 years’ experience as a mathematical statistician renowned for his contributions in model selection, classification and prediction for statistically challenging data. He has held academic positions at the University of Bern (Switzerland), ANU and UWA before having joined USyd in 2008 as a Lecturer with fast promotion to Professor by 2018. He currently leads two research groups on Theoretical Statistical Model Selection at the ANU (with Prof Welsh) and on Fast and Interactive Methods for Complex High-Dimensional Data at USyd. He was appointed by the Australian Research Council on their College of Experts for 2019-2021 as one of two members only representing Statistics as a discipline, is the Associate Dean Research Education (since 2016) in the Faculty of Science and serves as the Deputy Head of School (since 2019). He is also an Editor (Theory & Methods) of the Australian and New Zealand Journal of Statistics and Past-President of the International Biometric Society – Australasian Region.
      Further details about Professor Mueller’s research can be found here.

      Garth Tarr is a lecturer in statistics and data science at the University of Sydney. He has received more than A$3.3M in competitive grant funding and a number of citations for his teaching, including a Vice-Chancellor’s Award for Teaching Excellence in 2016. He received his PhD in Mathematical Statistics from the University of Sydney and has held positions at the University of Newcastle and the Australian National University. His diverse interests include robust statistics, data visualisation, model selection, econometric modelling, educational research, meat science and biostatistics. Garth is an expert R user and has created several R packages, including the mplot package, and has been a regular contributor to the Biometric Bulletin’s Software Corner.
      Further details about Dr Tarr’s research can be found here.

      Workshop Venue
      RC-4082, Red Centre building (Central Wing), UNSW, Kensington NSW

      Fees
      Full-time students can sign up for student membership with the SSA for only $20 for 12 months to take advantage of the student member rate! Regular membership is $245.

      Deadlines
      Registrations close strictly on 5 May 2019. Early Bird registration closes on 16 April.

      Travel Expenses
      Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

      Cancellation Policy
      Cancellations received prior to Monday, 6 May 2019 will be refunded, minus a $20 administration fee. From 6 May onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au. 

      • 28 May 2019
      • 31 May 2019
      • Guayaquil, Ecuador

      ESPOL Polytechnic University is proud to host ICORS-LACSC 2019 on May 28-31, 2019. This year, the International Conference on Robust Statistics (ICORS) and the Latin American Conference on Statistical Computing (LACSC) will be jointly organized in Guayaquil, Ecuador. The 2nd LARS-IASC School on Computational Statistics and Data Science will be a satellite event on May 26-27, 2019.

      • 30 Jun 2019
      • 4 Jul 2019
      • Perth, Australia

      The Mathematics Education Research Group of Australasia provides an inclusive and cosmopolitan Conference for mathematics educators and academics involved in mathematics education. For more information please click here

      • 1 Jul 2019
      • 4 Jul 2019
      • Saint Petersburg, Russia

      Computational and Applied Statistics 2019 (CAS) is a workshop organised as part of the International Conference on Computational Science and its Applications - ICCSA 2019.


      • 4 Jul 2019
      • 9:30 AM - 5:00 PM
      • Murdoch Children's Research Institute (MCRI), Melbourne
      Register

      The Biostatistics and Bioinformatics Section of SSA is pleased to offer the following workshop, co-hosted by the Clinical Epidemiology & Biostatistics Unit (CEBU) at the MCRI (Melbourne Children’s campus):

      Gaining skills in biostatistical consultancy

      This full day workshop is designed to provide participants with an understanding of some of the key skills involved in biostatistical consultancy, covering a range of topics including communication skills, how to reach and interact with different clients, how to manage consultancy projects from start to finish and how to secure funding. The course will feature presentations from statisticians experienced in biostatistical consultancy, as well as an interactive panel session to allow participants to pick the brains of our experts!

      Presenter Biography

      Professor Julie Simpson
      is Head of the Biostatistics Unit at the Melbourne School of Population and Global Health and leader of the Biostatistics node of the Melbourne Clinical and Translational Science platform, University of Melbourne. She has 25 years’ experience collaborating with clinicians, basic scientists, epidemiologists and health policy-makers at universities and hospitals (and even refugee camps) based in Australia, Thailand, Vietnam and the United Kingdom.

      Dr Emily Karahalios is a Senior Research Fellow based in the Biostatistics Units within the School of Public Health and Preventive Medicine, Monash University; and the Melbourne School of Population and Global Health, The University of Melbourne. Emily previously held the position of Clinical Biostatistician at Western Health, where she provided biostatistical support to staff and students at Sunshine and Footscray Hospitals.

      A/Prof Susan Donath is a Senior Biostatistician and Epidemiologist and Deputy Director of the Clinical Epidemiology and Biostatistics Unit, Murdoch Children’s Research Institute. She has been a senior consulting statistician at the MCRI since 2003 and through this role has developed expertise in supporting all aspects of research design, protocol development, statistical analysis and reporting results.

      Dr Emi Tanaka is a lecturer in statistics at The University of Sydney working in the interface of genetics, statistics and computing. Her PhD work focused on statistical bioinformatics (in particular, with methods in DNA motif evaluation) but post-PhD, she provided specialist statistical inputs to various plant improvement programs as part of Statistics for the Australian Grains Industry project.

      Target Audience

      Statisticians who provide statistical advice, analysis, and training to non-statisticians. This workshop will be of greatest interest to recent graduates and early career researchers who are keen to develop their skills in this area.

      Course Outline

      1. Involvement in statistical consultancy from start to finish (lifecycle), communication skills, including intercultural communication, and written reporting or oral presentation to non-statisticians
      2. Effectively planning, organising and monitoring progress of a project, including time management and prioritisation
      3. How to reach clients, secure funding and build a team
      4. Interacting with different clients (including difficult clients), dealing with isolation and building a network
      5. Interactive panel session

      Fees
      Payment before 1 May 2019 (Early Bird)
      SSA members $100
      SSA non-members $120
      SSA member students $80*
      SSA non-member students $100*

      Payment from 1 May 2019
      SSA members $120
      SSA non-members  $140
      SSA student members $100*
      SSA non-member students $120*

      Student membership with SSA is available to full-time students for $20 for 12 months. For more information please click here.

      Registrations close on Friday, 21 June 2019.

      Learning Objectives

      To introduce the skillset needed to be an effective biostatistical collaborator focusing on skills such as meetings, interactions, time management, written and oral communication, and ethics.

      Venue

      Cox/Walford Room (Room WL5.2.03), Murdoch Children’s Research Institute, Royal Children’s Hospital, Flemington Road, Parkville, Melbourne, VIC, 3052

      Travel Expenses

      Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

      Cancellation Policy

      Cancellations received prior to Thursday, 27 June 2019 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 eo@statsoc.org.au.


      • 7 Jul 2019
      • 12 Jul 2019
      • Guimarães, Portugal

      The 34th International Workshop on Statistical Modelling (IWSM) will be held in Guimarães 7-12 July 2019. IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application.

      • 7 Aug 2019
      • 9 Aug 2019
      • Taipei, Taiwan

      The Center for Survey Research(CSR) of Academia Sinica in Taiwan will hold an international conference on survey research methodology on 8 August and the morning of 9 August 2019. In addition, CSR will offer a four-hour workshop on Total Survey Error as a framework for high quality survey design on the afternoon of August 7. A second four-hour workshop on weighting for various types of survey data, such as panels, dual frames etc., takes place on the afternoon of August 9.

      • 18 Aug 2019
      • 23 Aug 2019
      • Kuala Lumpur, Malaysia

      The 62nd ISI WSC 2019 will bring together about 2,500 delegates, comprises statistical researchers, academia, industry practitioners, analysts and policymakers, from all over the world to share insights on development in statistical science and to advance application of statistics for discovery, innovation and decision making. About 1,300 papers in various statistical disciplines and applications will be presented and discussed over a period of five days. In addition to the Scientific Programme, satellite seminars, meetings and short courses will be organised as the pre- and post-congress events.

      • 1 Oct 2019
      • 8:30 AM
      • 2 Oct 2019
      • 5:00 PM
      • Canberra
      • 98
      Register

      The Young Statisticians Conference 2019 will be held on 1-2 October 2019 in the nation’s capital, Canberra. We are delighted that we were able to secure Manuka Oval for SSA’s signature event for students and graduates. YSC2019 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia.  You do not want to miss this conference!

      To keep up to date with YSC2019 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!

      The YSC2019 dinner is not included in the conference registration fee. To register for the dinner click here.

      Cancellation Policy
      Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $20 administration fee.
      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 eo@statsoc.org.au.
       

      YSC2019-Visualising the future



      • 1 Oct 2019
      • 6:30 PM - 9:30 PM
      • Salotto Bar, 1/25 Kennedy St, Kingston ACT 2603
      Register

      After a busy conference day at YSC2019 let's enjoy an evening of relaxing, connecting and delicious Italian cuisine at the Salotto Bar while we celebrate women in statistics. You don't have to be female to do that!

      Please join us to discuss issues concerning women in statistics in Australia, and to network with fellow statisticians and supporters. Further details are available on our dedicated YSC2019 website.

      Salotto Bar is a popular family-owned Italian bar in Kingston. It has successfully managed to intertwine traditional Italian cuisine with an aromatic laidback atmosphere. 

      The cost for the dinner is $20 for delegates of YSC2019 and $40 for everyone else and it will get you a starter, an entrée and a main course as well as a beverage, alcoholic or non-alcoholic.

      Registrations for this dinner close strictly on 24 September 2019.

      We would like to thank ACEMS for generously sponsoring this dinner.

      Cancellation Policy
      Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $10 administration fee. 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 eo@statsoc.org.au.




      • 5 Jul 2020
      • 10 Jul 2020
      • Seoul, Korea

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

      • 6 Jul 2020
      • 8:00 AM
      • 10 Jul 2020
      • 6:00 PM
      • Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

      Welcome to the ANZSC 2020 Conference

      The organising committee warmly invites you to the 2020 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 6th to the 10th of July 2020.

      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.

      ANZSC2020 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 2020!

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