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

    • 19 Feb 2020
    • 5:30 PM - 7:00 PM (UTC+10:30)
    • Engineering & Math EM212, North Terrace, The University of Adelaide

    Branch Meeting - Wednesday, 19th February 2020

    The South Australian Branch of the Statistical Society would like to invite you to the February meeting of the 2020 program.

    Venue: Engineering and Math Science Building, Room EM212, North Terrace, The University of Adelaide. A campus map is available at http://www.adelaide.edu.au/campuses/northtce/

    ***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

    Time:

    5:30pm - Refreshments in the Lecture Theatre

    6:05pm - General Meeting Talk

    7:30pm - A dinner will be held after the meeting at Jasmin Restaurant, 31 Hindmarsh Square, Adelaide SA 5000. Please RSVP for dinner to aarti.gulyani@sahmri.com by 17th February as we are usually unable to change the booking numbers at the last minute.

    Speaker: Professor Omer Ozturk, The Ohio State University

    Topic: Probability-proportional-to-size ranked-set sampling from stratified populations

    Abstract

    This paper constructs a probability proportional-to-size (PPS) ranked-set sample from a stratified population. A PPS-ranked-set sample created stochastically ordered random variables in a sample using a PPS sampling design with selection probabilities approximately proportional to size of the units. The stochastic order relies on relative positions (ranks) of units among each other in small comparison sets. Hence, the ranks induce more structure (stratification) in the sample in addition to the data structure created by unequal selection probabilities in a PPS sample. This added data structure makes the PPS-ranked set sample more informative than a PPS-sample.

    The stratified PPS-ranked-set sample is constructed by selecting a PPS-ranked-set sample from each stratum population. The paper constructs unbiased estimators for the population mean, total and their variances. The new sampling design is applied to an apple production data to estimate the total apple production.

    Biography

    Professor Ozturk joined the statistics faculty in 1996. He currently serves as an associate editor for Environmental and Ecological Statistics, Statistics and Probability Letters, Communications in Statistics- Data Analysis and Simulation, and Communications in Statistics- Theory and Methods. His research interest lies in developing inference under a set of relaxed distributional assumptions that may include parametric, nonparametric and robust inference under different sampling conditions. The primary focus is on the construction of sampling designs that increases information content of each measured observation while keeping the sampling cost minimal. His research was funded by NSA and NSF. He was frequently invited to US Census Bureau as a Summer at Census Scholar. He served as publication officer in the section of nonparametric statistics in ASA. He was Elected fellow of ASA in 2010.

    Feel free to forward this meeting notice to colleagues, all welcome.


    • 21 Feb 2020
    • 1:00 PM - 2:00 PM
    • via Zoom - time stated is AEDT
    Register

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

    Statistical Machine Learning for Spatio-Temporal Forecasting

    About this webinar

    Conventional spatio-temporal statistical models are well-suited for modelling and forecasting using data collected over short time horizons. However, they are generally time-consuming to fit, and often do not realistically encapsulate temporally-varying dynamics. Here, we tackle these two issues by using a deep convolution neural network (CNN) in a hierarchical statistical framework, where the CNN is designed to extract process dynamics from the process' most recent behaviour. Once the CNN is fitted, probabilistic forecasting can be done extremely quickly online using an ensemble Kalman filter with no requirement for repeated parameter estimation. We conduct an experiment where we train the model using 13 years of daily sea-surface temperature data in the North Atlantic Ocean. Forecasts are seen to be accurate and calibrated. A key advantage of the approach is that the CNN provides a global prior model for the dynamics that is realistic, interpretable, and computationally efficient to forecast with. We show the versatility of the approach by successfully producing 10-minute nowcasts of weather radar reflectivities in Sydney using the same model that was trained on daily sea-surface temperature data in the North Atlantic Ocean. This is joint work with Christopher Wikle, University of Missouri.

    About the presenter

    Andrew Zammit-Mangion is an Australian Research Council (ARC) Discovery Early Career Research Award (DECRA) Senior Research Fellow with the School of Mathematics and Applied Statistics at the University of Wollongong, Australia. His key interests lie in spatio-temporal models and the inferential tools that enable them. He was awarded a Best Doctoral Dissertation Prize by the Institute of Engineers and Technology (IET) in 2012, and the Cozzarelli Prize (Best PNAS paper in Engineering and Applied Sciences) by the National Academy of Sciences of the US on the topic in 2013. He is currently a member of NASA's Orbiting Carbon Observatory-2 (OCO-2), and in 2019 he published a co-authored book with Christopher Wikle and Noel Cressie on spatio-temporal modelling with R.

    To register

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

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

    Would you please note that the times stated are AEDT.

    • 27 Feb 2020
    • 28 Feb 2020
    • Melbourne, Australia

    A workshop on Bayesian adaptive randomised trials, delivered by international leaders in this field; Dr Lorenzo Trippa and Dr Steffen Ventz.

    Adaptive clinical trial designs have proven valuable to accelerate the development of new treatments. Adaptive randomisation based on Bayesian principles has been proposed for testing several treatments in complex clinical trials on heterogeneous populations.

    Recent applications suggest that outcome adaptive approaches can accelerate drug development processes. Adaptive algorithms attempt to learn and identify, during the trial, the best available treatment options for individual patients enrolled in the trial.

    For more information, please click here.

    • 5 Mar 2020
    • 6 Mar 2020
    • Sydney

    A workshop on Bayesian adaptive randomised trials, delivered by international leaders in this field; Dr Lorenzo Trippa and Dr Steffen Ventz.

    Adaptive clinical trial designs have proven valuable to accelerate the development of new treatments. Adaptive randomisation based on Bayesian principles has been proposed for testing several treatments in complex clinical trials on heterogeneous populations.

    Recent applications suggest that outcome adaptive approaches can accelerate drug development processes. Adaptive algorithms attempt to learn and identify, during the trial, the best available treatment options for individual patients enrolled in the trial.

    For more information please click here.


    • 10 Mar 2020
    • 5:15 PM - 7:00 PM (UTC+08:00)
    • Perth

    Announcing the Annual General Meeting of the Statistical Society of Australia, W.A. Branch.

    5:15 ᴘᴍ on Tuesday 10th March 2020

    BLAKERS LECTURE THEATRE
    SCHOOL OF MATHEMATICS AND STATISTICS
    UNIVERSITY OF WESTERN AUSTRALIA

    Followed by a seminar at 6:00 ᴘᴍ


    Statistical Methods to Survey Hidden Networked Populations

    Dr. Mark S. Handcock

    Professor of Statistics
    University of California - Los Angeles

    ABSTRACT:

    In many situations, standard survey sampling strategies fail because the target populations cannot be accessed through well-defined sampling frames. Typically, a sampling frame for the target population is not available, and its members are rare or stigmatized in the larger population so that it is prohibitively expensive to contact them through the available frames. We discuss statistical issues in studying hard-to-reach or otherwise "hidden" populations. These populations are characterized by the difficulty in survey sampling from them using standard probability methods. Examples in a demographic setting include unregulated workers and migrants. Examples of such populations in a behavioural and social setting include injection drug users, men who have sex with men, and female sex workers. Hard-to-reach populations are under-served by current sampling methodologies mainly due to the lack of practical alternatives to address these methodological difficulties. We will focus on populations where some form of social network information can be used to assist the data collection. In such situations sophisticated statistical methods are needed to allow the characteristics of the population to be inferred from the collected data.

    We review adaptive network sampling, including respondent-driven sampling. We develop model-assisted methods and capture-recapture ideas.

    This is joint work with Krista J. Gile, Katherine R. McLaughlin and Brian Kim.

    ABOUT THE SPEAKER:

    Dr. Mark S. Handcock is Professor of Statistics at the University of California - Los Angeles. His research involves methodological development, and is based largely on motivation from questions in the social and epidemiological sciences. He has published extensively on models for social networks, network inference, and network sampling methods. For details, see his web page http://www.stat.ucla.edu/~handcock/

    Members and guests are invited to enjoy wine and cheese from 5:15 ᴘᴍ. The Annual General Meeting (AGM) will be held during this time in the Blakers Lecture Theatre. Non-members of the SSA WA branch may be present but cannot vote on AGM matters. The AGM agenda will be provided to the SSA WA Branch email list.

    Following the meeting you are invited to dine with the speaker at a nearby restaurant. Visitors are welcome.

    The Blakers Lecture Theatre is located on the ground floor of the Mathematics building at UWA. The entrance is on the outside of the building. Map links: Google Maps, Open Street Maps (Mathematics building).

    Parking is free on the UWA campus after 5pm. We suggest using car park 18 from Fairway entry 1.

    For further information please contact the Branch Secretary, Rick Tankard, Murdoch University.
    He can be reached by email at rick.tankard@murdoch.edu.au or by phone at (08) 9360 2820.


    • 31 Mar 2020
    • 5:45 PM - 7:45 PM
    • JH Michell Theatre, Peter Hall Building, University of Melbourne

    The Victorian Branch of the Statistical Society of Australia is having its Annual General Meeting (AGM), followed by a talk from Mr Dennis Trewin AO FASSA.

    Timetable for the evening

    The AGM is open to all members of the Victorian Branch. The talk is open to the public. The dinner is also open to all and will be pay your own way.


    Measuring Well-being

    Historically GDP has generally been used as a measure of national well-being although it was never designed for this purpose. The Australian Bureau of Statistics was the first national statistical office to publish an alternative approach with its Measures of Australia’s Progress (MAP) publication first released in 2002. This attracted global interest and an invitation for Dennis to be a keynote speaker at OECD’s first World Forum entitled Statistics, Knowledge and Policy. Discussions at the Forum led the OECD to begin its Beyond GDP initiative which has, in turn, inspired a number of countries and jurisdictions within countries to look at alternative ways of measuring progress on well-being with some going as far as incorporating measures within their budgetary process (e.g. New Zealand) and their performance being judged on well-being as well as economic measures. For example, the ACT Chief Minister has recently announced that it will be developing a set of well-being indicators to enable an assessment of Government performance with the Chief Minister releasing the proposed indicators on Canberra Day in March 2020.

    Dennis' talk will describe the main methods for measuring well-being (composite index of well-being indicators, suite of indicators as was used for MAP, and adjusted GDP) with real examples of all methods both nationally and internationally. The talk will illustrate the strengths and weaknesses of each approach and discuss the underlying conceptual and statistical frameworks. In particular, it will discuss the statistical issues associated with compiling a composite index of indicators where there can be significant differences in their volatility over time. This will be demonstrated by the early work for compiling composite indicators for the Australian National Development Index (ANDI).

    Dennis Trewin AO FASSA, Former Australian Statistician


    Dennis Trewin was the Australian Statistician and head of the Australian Bureau of Statistics from July 2000 until January 2007. Prior to that he was Deputy Australian Statistician and, from 1992 to 1995, Deputy Government Statistician in New Zealand. He has been working as a statistical consultant on assignment with a range of countries and with the UN, OECD and World Bank.

    Dennis has held a number of other positions such as an Australian Electoral Commissioner, an Associate Commissioner at the Productivity Commission for the study into the Not for Profit Sector, and a Trustee and Board member for the Australian Government Superannuation Fund. He has been Chairman of the Advisory Board of the ARC Centre of Excellence for Coral Reef Studies, Chairman of the Policy and Advocacy Committee of the Academy of Social Sciences of Australia and the Australian Mathematics Trust. He is or has been an Adjunct Professor at Swinburne, Curtin University, University of Canberra and the University of the South Pacific, and a Council Member of the University of Canberra. He has been recognised as an Officer in the Order of Australia, received a Centenary Medal for his contribution to statistics and an honorary doctorate from James Cook University.

    Internationally, Dennis has been President of the International Statistical Institute and the International Association of Survey Statisticians. He was Chairman of the Global Executive Board for the 2005 round of the World Bank's International Comparison Program.

    • 6 May 2020
    • 8 May 2020
    • Gold Coast, Australia

    Imagine the benefit you would get from joining a group of 50 peers - who share your biggest challenges - to share stories, network and exchange mission critical information you won’t get anywhere else. Here’s a taste of what you can expect to learn about at the Data & Analytics Leaders Exchange:

    - Developing An Enterprise-Wide Data Governance Strategy And Architecture
    - Enabling Data-Driven Decision Making Across The Business
    - Building Organisational Capability For Advanced Analytics
    - Attracting, Retaining, And Up-Skilling Staff For Digitalisation And Technological Developments
    - Maintaining Compliance With GDPR
    - Improving Business Function By Effectively Leveraging Data Insights

    Request an invite

     


    • 27 May 2020
    • 29 May 2020
    • Irvine, California, USA

    SLDS conferences bring together the vibrant community at the interface of Statistics and Data Science, with a lot of networking and learning opportunities. SLDS 2020 will also feature
            • Keynote talks from Deepak Agarwal (LinkedIn), Regina Liu (Rutgers) and Jane-Ling Wang (UC Davis)
            • More than 47 invited sessions organized by the SLDS 2020 program committee
            • Invited short courses (May 26, 2020) on Deep Learning, AI and Precision Medicine, offered by Annie Qu (UC Irvine), Xiao Wang (Purdue), Edgar Dobriban (Penn), Haoda Fu (Eli Lilly). Seats are limited.
            • Lunch panels will offer opportunities for discussing challenges and opportunities faced by statisticians in light of data science.
            • And much much more ...
    Find out more at asaslds.github.io/SLDS2020/.


    • 22 Jun 2020
    • 26 Jun 2020
    • Sydney

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

    Confirmed plenary speakers:

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

    Invited sessions on:

    - Reproducible Science
    - Methods for high throughput community data
    For more details go to http://www.isec2020.org/

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


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

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

    1-4 July 2020 in Cagliari, Italy

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

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

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

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

    IMPORTANT DATES:

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

    15 April 2020: Notification of Acceptance.

    8 May 2020: Early-bird Registration ends.

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

    1-4 July 2020: ICCSA 2020 Conference.


    • 5 Jul 2020
    • 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.

    • 5 Jul 2020
    • 9:00 AM - 5:00 PM (UTC+10:00)
    • Mantra Legends, 25 Laycock St, Surfers Paradise QLD
    • 29
    Register

    Simplify your statistical life: Git for collaborating with yourself and others

    Git is currently the most popular Version Control System employed by software developers and statisticians alike. Sites like Github provide a comprehensive platform to encourage collaboration on open source software including R packages but it can do a whole lot more. Git can also be used to manage syntax and data files employed in data analysis or research projects, whether these are for a single analyst or a team.

    This hands-on one day tutorial will step participants through the basics of version control using Git and specific Github features. No knowledge of Git is assumed although this course should also prove valuable to intermediate Git users who want to know more. Participants will be able to apply these techniques to projects employing any statistical analysis and reporting software. Topics covered include Git basics of repository initialisation, configuration, committing changes, branches, stashing, handling merge conflicts and working with remotes along with Github specific tools like forking, issues tracking and continuous integration with Travis. It is expected that participants will install Git on their laptops and obtain a Github account prior to the course. Instructions will be provided prior to the course.

    All sessions will consist of several short presentations of ten to fifteen minutes followed by a hands-on practical of approximately the same length. 

    About the presenter

    Dr Peter Baker has worked as a statistical consultant and researcher in diverse areas such as agricultural research, Bayesian methods for genetics, health, medical and epidemiological studies for over thirty years. Peter has employed tools like Version Control and Make for statistical consulting and research projects for twenty five years. He is a Senior Lecturer in Biostatistics at the School of Public Health, University of Queensland where he also acts as a senior statistical collaborator and adviser to several research projects in the Faculty of Medicine.

    Workshop Venue

    The workshop will be held at the Mantra Legends Hotel, 25 Laycock St, Surfers Paradise QLD. The hotel is only a few tram stops away from the Gold Coast Conference and Exhibition Centre. 

    Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

    Full registration fee: $425
    Full-time students, retirees: $225

    Regular Fees

    Full registration fee: $500
    Full-time students* (pls see asterix below), retirees: $275

    The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

    All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

    Early Bird Eligibility

    To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

    Student Rate

    *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

    Please note

    Participants will be required to bring their own laptop. They will need to have Git installed on their laptop and obtain a Github account prior to the workshop.

    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, 18 June 2020 will be refunded, minus a $25 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.

    • 5 Jul 2020
    • 9:00 AM - 5:00 PM (UTC+10:00)
    • Mantra Legends, 25 Laycock St, Surfers Paradise QLD
    • 30
    Register

    From machine learning to statistical modelling (Frequentist & Bayesian), via logistic regression in Autostat

    About this workshop:

    Today's researchers and quantitative analysts gain a methodological advantage if they can speak the language, and crunch numbers, using different statistical paradigms. Here we step you through the interpretation, advantages and shortcomings of three common paradigms: machine learning, classical statistical modelling (relying on p-values and Wald's confidence intervals for inference); and Bayesian statistical modelling (relying on Markov chain Monte Carlo to simulate from the posterior).

    Target Audience

    This workshop is aimed at practitioners or analysts who have already done "Stats101", an introduction to linear regression which typically focuses on least squares, and uses R-squared for evaluating model fit.

    We examine modelling challenges that can be encountered during logistic regression, and discuss ways to address them. These include: separation and/or perfect prediction as affected by coding of contrasts; diagnostics of model fit; and variable selection.

    Presenters

    Assoc Prof Samantha Low-Choy is a Senior Statistician at Griifith University, having worked as a stats advisor for most of her career, in conjunction with research. Her current role balances collaborative research with advising researchers (incl higher degree research students). Since 2015 she has shaped and a suite of training events in stats and mixed methods with logistics supported by the Office of Research. Starting with 3 events in 2015 on Bayesian statistics there are currently over 40 events (many offered twice a year), with 20 different presenters.

    Her research interests include eliciting expert knowledge and uncertainty, then encoding as Bayesian priors, with well-cited reviews in ecology (Low-Choy, O'Leary & Mengersen, 2009, Ecology; Martin et al 2012, Cons Biol) and a paper published with discussion in Bayesian Analysis (Albert et al 2012). At Griffith her interests have broadened at this interface of quantitative and qualitative methods to consider elicitation of variable usefulness and other aspects of conceptual models. This is exemplified through work with recent PhDs by Katelyn Dyason (2019), Sepideh Jahandideh (2019), Ibrahim Alkhairy (2020) and Ramethaa Pirathiban (2019). Another area of interest is mixing Bayesian with qualitative methods, e.g. Low-Choy, Riley & Alston-Knox, 2017, Educational Media International. She has a keen interest in visualisation, from piper plots (code hosted at USGS in the 90s) to raindrop plots (Vasco & Low-Choy, 2017) and diagnostics for mixture models (Williams, Low-Choy and Alston, 2012, in Expert Knowledge and it's uses in Landscape Ecology,).

    Dr Clair Alston-Knox is a Senior Statistician with Predictive Analytics Group in Melbourne. Her recent transition from an academia to a commercial environment has enabled her to become part of a large team of specialist analysts who are working on the development of AutoStat®, a new cloud based software providing access to a suite of statistical and Machine Learning algorithms, along with fully integrated data management, visualisation, dashboards and document building modules .

    Prior to this role, Clair worked as a statistician in the Griffith Social and Behavioural Research College, providing advice and collaborating with researchers in a range of disciplines. This role often required the development of applied approaches to the analysis of complex questions and models, focusing on both very large and extremely small sample problems. She holds an adjunct position with the Faculty of Arts, Education and Law and maintains an active role at the university.

    Clair has been working as an applied statistician since graduating with a B.Math(Hons) majoring in statistics in 1993. Her first appointment was with NSW Agriculture as a biometrician at a remote location. The key elements of this role were in consulting and team participation in both long term and one-off agriculture trials, in crop, weed and veterinary focused research. Whilst working in this role she completed a Master of Science (Research) in the area of longitudinal analysis of Poisson data, and Generalised linear models. Primarily, her research topic was in the area of accounting for spatial and temporal data that was non-Gaussian in nature.

    She completed a PhD in Bayesian Mixture Models in 2006. The research question driving this thesis was aimed at maximising the information available to livestock managers in terms of making decisions for drought management. This work enabled an accurate temporal view of the sheep carcase condition when subjected to drought. She extended this work in the area of air pollution and habitat suitability models. 

    Workshop Fees

    Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

    Full registration fee: $425
    Full-time students, retirees: $225

    Regular Fees

    Full registration fee: $500
    Full-time students* (pls see asterix below), retirees: $275

    The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

    All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

    Early Bird Eligibility

    To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

    Workshop Venue

    Mantra Legends, 25 Laycock St, Surfers Paradise QLD

    Student Rate

    *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

    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, 18 June 2020 will be refunded, minus a $25 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.

    • 5 Jul 2020
    • 9:00 AM - 5:00 PM (UTC+10:00)
    • Mantra Legends, 25 Laycock St, Surfers Paradise QLD
    • 30
    Register

    This workshop will help participants to understand the principles of data visualisation and how to implement those principles using the package ggplot in R.

    About the presenters:

    Ian Westbrooke is Principal Science Advisor – Statistics at the Department of Conservation, where he has worked since 2000. Prior to that, he worked in health and at Stats NZ. He has a strong interest in data visualisation and graphing and has presented workshops on data visualisation, statistical modelling and design of monitoring systems throughout NZ and in Australia and Fiji. He has published extensively including on designing science graphs: His most cited paper is centred on two multipanel graphs

    Jennifer Browne is professor of statistics and head of department at University of Canterbury. She is an applied statistician with expertise in survey design, environmental monitoring, and analysis and detection of changes in populations over time.  Her interest lies in using statistics to help address the environmental question, and using effective visualisation as a key part of this.

    About this workshop

    Part one covers the proven principles of data visualisation. In part two participants work on applying these principles.

    Topics covered include

    • Why good graphs are important
    • Visual perception and accuracy
      • Cleveland’s perception hierarchy
    • Types of graphs
      • Why you can (almost) always do better than a pie chart
    • Visualising multidimensional data
    • Graphical elements and scales
    • An outline of the grammar of graphics and of options for graphing in statistical packages
    • Key elements of the grammar and implementing them using the R package ggplot
      • Aesthetics
      • Geometry
      • Facets
      • Applications to real data
        • Participants will have the opportunity to produce simple and more complex graphs with real datasets.
        • Datasets and some example code will be provided, suitable for those just starting out with ggplot, but also providing challenges for those with  more experience.

    Target Audience

    Data analysts and applied statisticians interested in understanding the proven principles of visualisation and applying them to real data using R.

    Prerequisites

    Strongly recommended: a basic knowledge of R is recommended. Essential is an interest in creating visualisations and graphs that allow discovery and communication of the stories data can tell.

    Workshop Fees

    Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

    Full registration fee: $425
    Full-time students, retirees: $225

    Regular Fees

    Full registration fee: $500
    Full-time students* (pls see asterix below), retirees: $275

    The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

    All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

    Early Bird Eligibility

    To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

    Workshop Venue

    Mantra Legends, 25 Laycock St, Surfers Paradise QLD

    Student Rate

    *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

    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, 18 June 2020 will be refunded, minus a $25 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.

    • 5 Jul 2020
    • 9:00 AM - 5:00 PM (UTC+10:00)
    • Mantra Legends, 25 Laycock St, Surfers Paradise QLD
    • 30
    Register

    About this course:

    When many people think about the field of Business Analytics then they focus (almost exclusively) on the statistical techniques involved. This over-simplification is probably reinforced by the stereotypical university assignment in statistics where students are given a dataset all ready for analysis, the software tools, the research questions to be explored, and often even the name of the statistical techniques to be employed. In reality the data analysis is only part of a business analytics project. This workshop will step through each of the stages involved in a business analytics project.

    1. Identifying the research questions – When true insights are obtained from an analytics project this is often not from the use of novel statistical methods but is often from asking novel questions of data. How do we work with stakeholders to identify these research questions?

    2. Sourcing the data – There is generally no single repository of data within our organization, and indeed in many cases not all of the useful data for our analytics project is already within our own organization. How can we think broadly about what data we might be able to access (from within and outside our organization) that might contain valuable insights?

    3. Analyzing the data – This is not just a single simple process, but involves the steps of physically moving the data from its source to the environment of our analytics team, error checking, an initial analysis to understand the statistical properties of the dataset, and the main analysis to produce the analytics findings.

    4. Reporting and visualization – Analytics is more than just producing findings. How do we get these findings to different stakeholders at the right time, in the right format, and using the right language so that this meaningful for different stakeholders?

    5. Turning knowledge into business value – Statistics has sometimes been described as the process for turning data into knowledge, but I would argue that if stakeholders simply had more knowledge then that is completely useless. What stakeholders need are the resources needed to make better business decisions. How do we turn knowledge into better business decisions?

    While these 5 stages could be considered as all parts of a single analytics project, we also need to consider the over-arching domain of:

    6. Growing capacity and capability – The majority of companies fail in their efforts to move into the analytics space, and this is generally not because of the statistical techniques. In the majority of cases it is because companies don’t have a clear business strategy for how to grow the capacity and capability for analytics within their organization.

    In this workshop we will work through these 6 domains of business analytics, and begin to give you the important skills for each of these stages.

    This workshop will use a combination of lectures and small group discussions to explore these topics.

    About the presenters

    Dr Mark Griffin is the Founding Director of Insight Research Services Associated (www.insightrsa.com). Mark is also a staff member within the School of Business at the University of Queensland where he teaches courses in business analytics focusing on both statistics and business strategy. His students range from undergraduate students to senior business managers. Mark serves on the Executive Committee for the Statistical Society of Australia, is the Founder and Co-Chair of the Section for Business Analytics, and is the Co-Chair of the ANZSC2020 conference. Mark is the Founder and Co-Chair of the Special Interest Group for Business Analytics within the International Institute of Business Analysis, and played a leading role in establishing the international certification program allowing IIBA members to become certified in business analytics. Since the formation of Insight he has presented over 90 two-day and 15 five-day workshops in statistics and business analytics.

    River Paul leads the statistics and economic analysis team at the Australian Financial Security Authority (AFSA), promoting the use of data and analysis for informed decision making. This team provides analytical services to all divisions within AFSA to shape and improve outcomes. These services include statistical and economic modelling, and data analytics for operational and regulatory areas. River’s team also provide a statistics service to the broader community. This service includes the regular publication of statistics, facilitating research and providing data and specialist statistical services. River has worked in statistics and economic analysis in the government sector for 15 years. She is the co-chair of the Business Analytics Section of the Statistical Society of Australia. River is the 2019 Telstra Australian Capital Territory Business Woman of the Year and Australian Capital Territory Public Sector and Academia Award winner. 

    Target Audience

    This workshop is aimed at anyone who is involved in making decisions about how analytics is employed within their organisation. It is envisaged that there will be a range of people in this workshop including statisticians, business analysts, and business managers. There is no prerequisite knowledge required for this workshop.

    Workshop Fees

    Early Bird Fees (for registrations received and paid for on or before 10 April 2020)

    Full registration fee: $425
    Full-time students, retirees: $225

    Regular Fees

    Full registration fee: $500
    Full-time students* (pls see asterix below), retirees: $275

    The registration fee includes any course material, tea and coffee on arrival, morning and afternoon tea as well as lunch.

    All registration fees are quoted in Australian Dollars. To view the current foreign exchange rates, please visit www.x-rates.com.

    Early Bird Eligibility

    To be entitled to the early bird registration fee you must have registered and paid by 10 April 2020. Unpaid registrations will be deleted on 11 April 2020 unless prior arrangements have been made with the SSA Executive Officer.

    Student Rate

    *A student is defined as a holder of a student identification card from a recognised tertiary or secondary educational institution or a holder of an international student card. Students must be studying full time to qualify for the discounted rate. A copy of your full time student identification card must be sent to the SSA Executive Officer via email to eo@statsoc.org.au. Without this copy, the full registration fee will be charged.

    Workshop Venue

    Mantra Legends, 25 Laycock St, Surfers Paradise QLD
    The Mantra Legends Hotel is only a few tram stops away from the Gold Coast and Exhibition Centre. A location map  is available here.

    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, 18 June 2020 will be refunded, minus a $25 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.

    • 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!

    • 19 Jul 2020
    • 24 Jul 2020
    • Basque Center for Applied Mathematics (BCAM), Bilbao- Spain

    The 35th edition of the International Workshop on Statistical Modelling will be held in Bilbao, Basque Country (Spain) from 19 to 24 July 2020. It will be hosted by the Basque Center for Applied Mathematics (BCAM) and the University of the Basque Country (UPV/EHU). There will be a short course on "Bayesian spatio-temporal modeling" by Virgilio Gómez Rubio on 19 July followed by the main meeting 20-24 July.

    The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense, involving both academic and professional statisticians and data analysts. Since its first edition, the spirit of the workshop has always been to focus on problems motivated by real life data and on solutions that make novel contributions to the subject.

    The atmosphere of the workshops is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling. As a sign of positive feedback the IWSMs report many returning participants.

    Papers focusing on applications with important substantive implications as well as methodological issues are welcome. Submissions by students and young researchers are particularly encouraged.

    • 28 Sep 2020
    • (UTC+02:00)
    • 29 Sep 2020
    • (UTC+02:00)
    • Strasbourg, France

     The Centennial of the International Mathematical Union

    As you may know, the IMU was founded in September 1920 in Strasbourg, France. On  the occasion of the centennial of the IMU, we are organizing the conference               

     Mathematics without Borders
    The Centennial of the International Mathematical Union
                 

    You are cordially invited to participate in this conference. We will get back

    with further information regarding registration, accommodation, etc as

    soon as it is available. 

     


    • 30 Sep 2020
    • (UTC+08:00)
    • Perth, WA

    The WA Young Statisticians Workshop will be held on 30th September 2020, with further details to follow. 

    • 2 Dec 2020
    • 4 Dec 2020
    • Sydney, Australia

    The Australian Consortium of Social and Political Research Incorporated (ACSPRI) will host it's 7th Social Science Methodology Conference on the 2nd to 4th of December at The University of Sydney.

    A unique feature of this conference is that it is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts.

    The conference is organised around four themes:

    1. Research paradigms and designs;
    2. Research methods and techniques;
    3. Research technology and tools;
    4. Datasets, data collections and data archiving.

    There will be two types of submissions considered:

    1. Presentations where an abstract is reviewed (abstract in the conference proceedings).
    2. Posters - including a student poster competition (abstract in the conference proceedings).

    More details will appear on the conference website soon. 

    • 11 Jul 2021
    • 15 Jul 2021
    • The Hague, The Netherlands

    The 63rd ISI World Statistics Congress will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting environment.

    The inspiring and interactive programme will provide the platform to learn about the latest developments in statistical research and practice in an informal ambiance. A series of short courses, satellites and other events completes the WSC programme.

    • 27 Jun 2022
    • 1 Jul 2022
    • Darwin, Australia

    The inaugural

    Joint Southern Statistical Meetings 2022

    will be held in Darwin from 27 June – 1 July 2022.

    This conference will bring together the leading statistical communities in the region to provide a forum for researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    To be kept up to date with our conference planning, please email your details to JSSM2022@gmail.com.

    We invite regional associations to contact us with expressions of interest to be part of this event. If you would like to sponsor JSSM2022 please get in touch as well.

    See you in Darwin in 2022! 

    • 6 Jul 2022
    • 14 Jul 2022
    • St Petersburg, Russia

    The ICM 2022 (International Congress of Mathematicians) will take place 6–14 July 2022 in St. Petersburg, Russia.

    The 19th General Assembly of the IMU will be held in St. Petersburg, on 3–4 July 2022. 
    The official website of the Congress is https://icm2022.org

    • 10 Jul 2022
    • 15 Jul 2022
    • Riga, Latvia

    to be held at the Radisson Blu Latvija Conference & Spa Hotel


Past events

7 Feb 2020 SSA Webinar: Do we die of only one cause?
11 Dec 2019 rOpenSci OzUnconf 2019 - external event
10 Dec 2019 Vic Branch – We all count: Strengthening stats and maths through diversity
9 Dec 2019 UQ Institute for Social Science Research: Longitudinal Data Analysis Course
6 Dec 2019 E. A. Cornish Memorial Lecture - SA Branch Meeting
6 Dec 2019 South Australia Biostatistics Networking
6 Dec 2019 SA Cornish Lecture
4 Dec 2019 UNSW Biostatistics Seminar
4 Dec 2019 Bayesian adaptive trials workshop - external event
3 Dec 2019 Webinar: Communicating risk and uncertainty with Sir David Spiegelhalter
3 Dec 2019 Queensland branch Xmas event
3 Dec 2019 Introduction to Python for Data Science - external event
3 Dec 2019 Biometrics by the Botanic Gardens 2019 - external event
2 Dec 2019 17th Australasian Data Mining Conference (AusDM’19) - external event
1 Dec 2019 Workshops at Biometrics by the Botanic Gardens 2019 - external event
29 Nov 2019 Data Science and Social Good Symposium - external event
28 Nov 2019 WOMBAT 2019
26 Nov 2019 WA Branch: End of year dinner
26 Nov 2019 UQ Institute for Social Science Research: Social Cost-Benefit Analysis Course - external event
26 Nov 2019 Sample Size and Power Calculations - external event
25 Nov 2019 CPD95 - Bayes on the Beach 2019
21 Nov 2019 Workshop: Pragmatic randomised trial designs for evaluating health policy and practice change interventions - external event
19 Nov 2019 UQ Institute for Social Science Research: Gathering Qualitative Data Course - external event
19 Nov 2019 CPD108 - R skills workshops: Building R packages and R Markdown
19 Nov 2019 Bayesian Logistic Regression in Practice, using R or Autostat - External Event
18 Nov 2019 Webinar: Modelling Molecule Dropout in single cell RNA-seq Experiment Leads to Improved Identification of Marker Genes
18 Nov 2019 CPD107 - Machine Learning with Python
13 Nov 2019 NSW Branch: Annual Dinner
13 Nov 2019 NSW Branch: Annual Lecture by Prof Ian Marschner
13 Nov 2019 NSW Branch: J. B. Douglas Awards
13 Nov 2019 UQ Institute for Social Science Research: Essential Social Analysis Skills Course - external event
13 Nov 2019 NSW Branch: J.B. Douglas Awards Sponsorship
12 Nov 2019 WA Branch meeting: Prof Cathryn Lewis – Hansford-Miller Fellow 2019
12 Nov 2019 Time Series & Forecasting Symposium (TSF2019), Sydney - external event
8 Nov 2019 UQ Institute for Social Science Research: Program Evaluation Course
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
5 Nov 2019 WA Branch Young Statisticians: Meet up with Professor Cathryn Lewis (2019 Frank Hansford-Miller Fellow)
5 Nov 2019 Queensland Branch meeting - November
4 Nov 2019 CPD97- Network meta-analysis and population adjustment for decision-making - CPD97
31 Oct 2019 Vic Branch – Belz Dinner
31 Oct 2019 Vic Branch – Statistics is the Crown Jewel of Data Science (Belz Lecture)
28 Oct 2019 Webinar: An introduction to business analytics beyond statistical analysis
23 Oct 2019 SA Branch Meeting: Dr David Baird VSN NZ Ltd
21 Oct 2019 NSW Branch: October Event by Prof Elizabeth Stuart
21 Oct 2019 B&B Networking Event
21 Oct 2019 CPD105 - Propensity score methods for estimating causal effects in non-experimental studies: The why, what, and how
9 Oct 2019 SSA NSW Young Statisticians & Data Scientist Careers Networking
8 Oct 2019 WA Branch: Displaying Uncertainty and Risk - Dr John Henstridge
3 Oct 2019 Randomization, Bootstrap and Monte Carlo Methods in Biology - external event
1 Oct 2019 SSA-Event: YSC2019 Dinner - Kingston Hotel
1 Oct 2019 Queensland branch meeting: Automated Technologies for Systematic Review & Meta-Analysis
1 Oct 2019 SSA-Event: Young Statisticians Conference 2019
30 Sep 2019 CPD102 - SSA Canberra/YSC Event: Pre-Conference Trivia Night!
30 Sep 2019 CPD101- Mediation Analysis Using Potential Outcome Framework
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD98- Communicating with R Markdown
26 Sep 2019 SA Branch Meeting: Peter Kasprzak
24 Sep 2019 Vic Branch – Young Statisticians Showcase 2019
24 Sep 2019 NSW Branch: A notion of depth for curve data by Dr Pierre Lafaye de Micheaux
23 Sep 2019 CPD106- Advanced R skills: Introduction to Shiny and Building R Packages
17 Sep 2019 SSA Webinar with Noel Cressie: Inference for Spatio-Temporal Changes of Arctic Sea Ice.
10 Sep 2019 WA Branch Meeting - Matt Schneider
5 Sep 2019 Applied Statistics and Policy Analysis Conference, 2019 - external event
3 Sep 2019 Queensland Branch meeting: Shiny showcase
28 Aug 2019 SA Branch Meeting - Dr Kathy Haskard
27 Aug 2019 Vic Branch – Detecting botnet activity using machine learning
20 Aug 2019 Talk on the QUT Digital Observatory
19 Aug 2019 Oceania Stata Conference - external event
18 Aug 2019 ISI 2019 – 62nd ISI World Statistics Congress - external event
13 Aug 2019 WA Branch Meeting - Joint IBS and SSA - Suman Rakshit
7 Aug 2019 SA Young Statisticians' Career Event
7 Aug 2019 2019 International Conference and Workshops on Survey Research Methodology - external event
6 Aug 2019 NSW Branch: Gender and Cultural Bias In Student Evaluations of Teaching at Universities by A/Prof Yanan Fan
24 Jul 2019 SA Branch Meeting - Dr Murthy N Mittinty
24 Jul 2019 The Research School on Statistics and Data Science 2019 (RSSDS2019) - external event
18 Jul 2019 Vic Branch - Tutorial on sequential Monte Carlo methods in statistics
18 Jul 2019 Minitab Insights Event Australia - external event
17 Jul 2019 Statistical Tools for the Pharmaceutical Industry - external event
9 Jul 2019 (Cancelled) WA Branch Meeting
9 Jul 2019 SSA-QLD Career Seminar: Lead With Statistics
7 Jul 2019 34th International Workshop on Statistical Modelling (IWSM2019) - external event
4 Jul 2019 Gaining skills in biostatistical consultancy- CPD94
3 Jul 2019 R skills workshops: R Markdown and Building R packages
2 Jul 2019 Tutorial on Sequential Monte Carlo methods in Statistics
1 Jul 2019 Computational and Applied Statistics (CAS 2019) - external event
30 Jun 2019 42nd Mathematics Education Research Group of Australasia (MERGA) Conference 2019 - external event
28 Jun 2019 Semiparametric regression with R - CPD99
26 Jun 2019 SA Meetup event: What went wrong with the polls? Do statisticians have a role to play?
25 Jun 2019 Vic Branch - Mentoring Breakfast
19 Jun 2019 Systematic reviews & meta-analysis of prognosis studies
11 Jun 2019 WA Branch Meeting - Dr Adriano Polpo - Hypothesis Tests: Using Adaptive Significance Levels for Decisions
11 Jun 2019 Data science helping to create a better justice system - an ACEMS Public Lecture at UTS
29 May 2019 SA Branch Meeting - Dr Beben Benyamin & Dr Ang Zhou
28 May 2019 Vic Branch – A recipe for quantifying the impact of prevention
28 May 2019 ICORS-LACSC 2019 - external event
16 May 2019 Fast algorithms and modern visualisations for feature selection - CPD96
14 May 2019 WA Branch Meeting - Young Statisticians Meeting
7 May 2019 QLD branch - Multimorbidity: Measurement for Health related Quality of Life and Health service use
7 May 2019 Chief Data & Analytics Officer Exchange - external event
4 May 2019 Data Day- Melbourne - external event
2 May 2019 Data Day- Sydney - external event
30 Apr 2019 Vic Branch – Reproducibility and Open Science
29 Apr 2019 Spatio-Temporal Statistics with R
17 Apr 2019 SA Branch Meeting - Professor Michael Sorich
9 Apr 2019 WA Branch Meeting - Prof Inge Koch
2 Apr 2019 QUEENSLAND ORDINARY BRANCH MEETING
2 Apr 2019 QUEENSLAND AGM
27 Mar 2019 SOUTH AUSTRALIA AGM
19 Mar 2019 Vic Branch – AGM + Statistics with industry: demonstrating impact
11 Dec 2018 Queensland Xmas Party
26 Sep 2018 Young Statisticians’ Workshop 2018
25 Sep 2018 Urban Modelling and Understanding with Machine Learning
11 Sep 2018 Young Statistician Careers Seminar
5 Sep 2018 Workshop: Semiparametric Regression with R with Matt Wand
28 Aug 2018 SSA Biostatistics Networking Event
26 Aug 2018 International Society for Clinical Biostatistics and Australian Statistical Conference 2018

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