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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

    • 20 Apr 2021
    • 6:00 PM - 7:30 PM (UTC+10:00)
    • Online
    Register

    Statistical Society of Australia - Joint Victoria & Canberra Branch Panel Event

    The past five years has witnessed the birth and growth of a number of cross-disciplinary data science centres and institutes across Australia, as universities (in particular) invest more time and resources into research and education in the data science space. But what exactly is the aim of such centres and institutes? And where does statistics, and the traditional model of a statistics department fit into this?

    In this joint event between the Victoria and Canberra branches of the SSA, we have the pleasure of hearing from 

    • Prof. Kerrie Mengersen - Director of QUT Centre for Data Science,

    • Prof. Eric Stone - Director of ANU Biological Data Science Institute, and

    • Prof. Joanna Batstone - Director of Monash Data Futures Institute.

    This session will be chaired by Prof. Ian Gordon, the director of Statistical Consulting
    Unit at the University of Melbourne.

    They will share their views and visions for how such centres are organised and run. An open discussion panel will then follow where the audience can ask questions and contribute their own diverse viewpoints (of which we expect many!). Come join us to hear about the future of data science.



    • 27 Apr 2021
    • 9:30 AM (UTC+10:00)
    • 28 Apr 2021
    • 1:00 PM (UTC+10:00)
    • Online

    UNSW Stats Central is offering a short course.

    R is widely used and extremely powerful statistical software. This course assumes that you have never used R before. You will learn how to obtain and install R, which is open-source software, and RStudio, which is a versatile, user-friendly interface for using R. It is very useful to do this course before our introductory statistics course, Introductory Statistics for Researchers.

    This course will be held over two half-days and will cover some basic features of R and lay the groundwork for you to improve your R skills independently. The course is self-paced and focused on developing practical skills.

    Course Requirement

    You will need a computer with course access (to install R before attending the course).

    For more details and to register, click here.

    • 27 Apr 2021
    • 6:00 PM - 7:30 PM (UTC+10:00)
    • F10A.01.024.Law Annex Lecture Theatre 024, Main Camperdown Campus, The University of Sydney
    We are very pleased to announce that the first regular monthly meeting we have in 2021 is going to be a joint event with R-Ladies Sydney, and we are happy to have Dr Gordana Popvic from UNSW to give us a talk about visualisations of discrete multivariate data in R.

    This meeting is a face-to-face meeting but if you would like to attend virtually please register in advance for this lecture here, you will receive a confirmation email containing information about joining the meeting after registering.

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

    Date:  Tuesday, 27th April 2021

    Time:
    6:00pm - 6:30pm: Refreshments
    6:30pm - 7:30pm: Lecture

    Venue: F10A.01.024.Law Annex Lecture Theatre 024, Main Camperdown Campus, The University of Sydney

    Dr Gordana Popvic
    UNSW, Sydney

    Carrots are good for vision, models are good for visualising discrete data

    Data sometimes have artefacts which obscure the patterns we are interested in visualising. You may have come across this when trying to interpret a residual plot from a logistic regression. For discrete data, these are not really artefacts, they are properties of the distribution of the data, like mean-variance relationships and lots of zeros. Generalised linear models and their extensions model the distribution of the data, including these properties, and so are a good way to remove them, to better see the patterns we are actually interested in. I will talk though some concepts and lots of examples of how we can use models to get the best out of our visualisations of discrete multivariate data in R.
     
    Biography
    Gordana is a statistical consultant and research fellow at UNSW Sydney, with research interests in modelling and visualising multivariate discrete data in ecology. In her spare time, Gordana can be found hiking or ocean swimming (poorly but enthusiastically).
    • 28 Apr 2021
    • 4:00 PM - 6:00 PM (UTC+10:00)
    • Room 408, S Block, Gardens Point Campus, QUT
    Register

    STATISTICAL SOCIETY OF AUSTRALIA QUEENSLAND BRANCH ANNUAL GENERAL MEETING 2021

    AGM at 4pm, followed by talk at 5pm

    Title: Modelling small area summary estimates from online disease atlas: Bayesian meta-analysis approach

    Speaker: Farzana Jahan

    Abstract: Analysis of spatial patterns of disease is a significant field of research. However, access to unit-level disease data can be difficult for privacy and other reasons. As a consequence, estimates of interest are often published at the small area level as disease maps. This motivates the development of methods for analysis of these ecological estimates directly. Such analyses can widen the scope of research by drawing more insights from published disease maps or atlases. A Bayesian hierarchical meta-analysis model is developed to model the area level estimates of disease incidence. An illustration of univariate and multivariate Bayesian hierarchical meta-analysis is made on the estimates of cancer incidence from Australian Cancer Atlas. The model results are validated using the observed areal data created from unit-level data on cancer incidence in each of 2148 small areas. It is found that the meta-analysis models can generate similar patterns of cancer incidence based on urban/rural status of small areas compared with those already known or revealed by the analysis of observed data. The proposed approach can be generalised to other online disease maps and atlases.

    Bio: I am a Postdoctoral Research Fellow at QUT Centre for Data Science, Queensland University of Technology (QUT), Brisbane, Australia. I submitted my PhD thesis for examination this January. I love both Teaching and Research. I like to do research on broader field of Statistics and Data Science and would love to learn new things and work on newer applications. My research interests include Bayesian modelling for aggregate data, spatial modelling of summary measures, Bayesian hierarchical modelling and Bayesian meta-analysis. ORCID page.

    • 5 May 2021
    • 2:00 PM - 3:00 PM (UTC+10:00)
    • Online
    Register

    Early Career and Student Statisticians Network is excited to be hosting a Science Communication Workshop Series in the lead up to ECSSC2021.

    Join us virtually to learn essential science communication skills from the experts across four (4) exciting workshops covering:

    Science Communication: Learn how to effectively communicate your research.

    Visualising Your Data: Discover the key aspects of data visualisation and how to produce presentation-ready figures.

    Honing Your Pitch: Work on your communication skills to hone-in on your pitch and communicate your research in a quick and effective manner.

    Presenting Virtually : Get advice and tips about presenting in a virtual format.

    We hope participants will come away from the series with the confidence to share their research in an engaging manner.

    Workshop 1: Science Communication

    The ability to effectively communicate your work to wide range of audiences is an essential part of being a statistician. Even the most brilliant research is wasted if no one knows it has been done or if your  target audience is unable to understand it. In this workshop, Dr Jen Martin will cover the science communication skills needed to prepare an oral presentation for conferences. We will cover a range of research communication aspects including: Defining a narrative for your research, communicating the importance of your work and some tips on coping with nerves. 

    Presenter: Dr Jen Martin spent many years working as a field ecologist until she decided the most useful thing she could contribute as a scientist was to teach other scientists how to be effective and engaging communicators. Jen founded and leads the University of Melbourne's acclaimed Science Communication Teaching Program. She also practises what she preaches: for 15 years she's been talking about science each week on 3RRR radio, she writes for a variety of publications and MCs events. Jen was named the 2019 Unsung Hero of Australian Science Communication and recieved the 2020 University of Melbourne David White Award for Teaching Excellence.

    There is a small fee to register but if you have registered for the conference  before hand these workshops are free. Contact Jodi Phillips, Events Coordinator, for questions and the registration code.

    Cancellation Policy: Online events have no cancellations. 




    • 6 May 2021
    • 9:30 AM (UTC+10:00)
    • 7 May 2021
    • 1:00 PM (UTC+10:00)
    • Online

    UNSW Stats Central is offering a short course.

    R is widely used and extremely powerful statistical software. This course assumes that you have never used R before. You will learn how to obtain and install R, which is open-source software, and RStudio, which is a versatile, user-friendly interface for using R. It is very useful to do this course before our introductory statistics course, Introductory Statistics for Researchers.

    This course will be held over two half-days and will cover some basic features of R and lay the groundwork for you to improve your R skills independently. The course is self-paced and focused on developing practical skills.

    Course Requirement

    You will need a computer with course access (to install R before attending the course).

    For more information and to register, click here

    • 10 May 2021
    • 9:00 AM (UTC+10:00)
    • 13 May 2021
    • 1:00 PM (UTC+10:00)
    • Online

    UNSW Stats Central is offering this short course.

    This course is designed as an introduction to statistical analysis for researchers. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. This course is designed to help you, the researcher. It is helpful if you have done an undergraduate statistics subject, although this course can serve as a first introduction or a refresher. The theory behind the statistical procedures outlined in the course will, in general, not be discussed. 

    Statistical analyses require specialised software to perform calculations. In this course, we use the free statistical program R exclusively, although researchers may have another statistical package available to them. It is essential to have basic proficiency in using the R statistical package to do this course successfully. Please read Important Notes at the course booking link below.

     Course Requirement

     You will need to use a computer during the course. You will also need administrator rights to install software needed for the course onto your computer. Basic proficiency in using the R statistical package is essential.

    To register click here.

     

    • 17 May 2021
    • 9:00 AM (UTC+10:00)
    • 20 May 2021
    • 1:00 PM (UTC+10:00)
    • Online

    UNSW Stats Central is offering this short course.

    Statistical analyses require specialised software to perform calculations.  In this course we use the statistical program SPSS exclusively. It is essential to have basic proficiency in using the SPSS statistical package to do this course successfully. Please read Important Notes at the course booking link below. 

    Course Requirement

    You will need to use a computer during the course. You will also need access to the SPSS software package. We cannot provide access to the SPSS package; you must be able to get access through your own institution or organisation or have your own licence. Basic proficiency in using the SPSS statistical package is essential.

    For more information and to register, click here.

    • 1 Jun 2021
    • 9:00 AM (UTC+10:00)
    • 2 Jun 2021
    • 4:00 PM (UTC+10:00)
    • Online

    Medical University of South Carolina is offering this workshop, it's sequence is designed for those who want to cover mapping methods, and the use of a variety of software and variants in application to small area health data.

    The course will include theoretical input, but also practical elements and participants will be involved in hands-on in the use of R, BRugs(OpenBUGS), Nimble, CARBayes and INLA in disease mapping applications. Both human and veterinary examples will be covered in the course as well as simple space-time modelling. Examples will range over congenital anomaly birth data, a lung, larynx and oral cancer example, foot and mouth disease in the UK, and influenza and Covid-19 space-time modeling in South Carolina.

    The workshop will be recorded and the recording will be available for some days following the event.

    This should enable anyone in markedly different time zones to access the presentation.

     

    THE SPEAKER

    Andrew B. Lawson (Department of Public Health Sciences, College of Medicine, Medical University of South Carolina) is a MUSC Distinguished Professor Emeritus and a World Health Organization (WHO) advisor on Disease Mapping and organized with the WHO an International workshop on this topic which has led to an edited volume “Disease Mapping and Risk Assessment for Public Health”. He recently acted as chief editor of the CRC Handbook of Spatial Epidemiology (2016).

    He has published a number of books focused on disease mapping and spatial epidemiology. In particular, the 3rd  edition of the book: Lawson, A. B.  Bayesian Disease Mapping CRC Press, appeared in 2018. The recent addition:

    Lawson, A. B. (2021) Using R for Bayesian Spatial and Spatio-Temporal Health Modeling. CRC Press.

     

    There will be a course text for the workshop. A copy of this book is included in the fee for the course.

     

    *REGISTRATION INFORMATION*

     

    Detailed information and registration form is available here.

    Early bird rate : $500  until May 10th ; normal rate $800 thereafter

     

    Phone registration to: Department of Public Health Sciences 

    (843) 876-1578

     

    Fax registration form to: Department of Public Health Sciences

    (843) 792-6000

     Email booking and enquiries can be made by contacting Paula Talbot at talbotp@musc.edu

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

    The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world's leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.

    Important Dates 2021:

    Invited Session Proposals: March 1

    Abstract Submissions: March 15

    Travel grant applications: March 15

    Early Registration: May 3

    For abstract submissions click here.

    To learn more click here.

    • 28 Jun 2021
    • (UTC+10:00)
    • 2 Jul 2021
    • (UTC+10:00)
    • online

    The 2021 World Meeting of the International Society for Bayesian Analysis (ISBA
    2021) will be held online from 28 June to 2 July 2021. Registration will be free to
    everyone before 1 May 2021. The deadline for abstract submissions is 15 March.
    For more information and to register, click here.

     



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

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

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

    If you ever need to speak to us or are after more information, please call 03 8376 6496 or you can email us at info@acspri.org.au

    Winter 2021 - June 28 to July 16, 2021

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


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


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

    2021 online Master-classes and Workshops

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


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


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


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


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


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


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


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


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


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

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


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


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

    Gordana Bacic

    Membership Services, Marketing and Events Coordinator

    Australian Consortium for Social and Political Research Inc.

    +61 3 8376 6496

    Find out more.

    • 5 Jul 2021
    • 8:00 AM (UTC+10:00)
    • 9 Jul 2021
    • 6:00 PM (UTC+10:00)
    • Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

    Welcome to the 
    ANZSC 2021 Conference

    The organising committee warmly invites you to the 2021 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 5th to the 9th of July 2021.

    This conference brings together four leading statistical communities in the region – the Statistical Society of Australia, the New Zealand Statistical Association, the International Institute of Business Analysis (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.

    The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.

    Information on Keynote Speakers and the Conference program will be available shortly so watch this space for updates.

    The conference will be held at the Gold Coast Convention and Exhibition Centre (GCCEC) situated in the heart of the Gold Coast. From GCCEC, Surfers Paradise (the social hub of the Gold Coast) is 5km to the North, the Star Casino and Pacific Fair are immediately to the South (the largest regional shopping and dining destination in Queensland), the beach (Broadbeach) is just ten minutes walk, and the Broadbeach restaurant complex is immediately to the East (short 5 minutes walk). Social tours can easily be made to the rainforest (such as Tambourine National Park and World Heritage-listed Lamington National Park), to places of Aboriginal Indigenous significance, to Stradbroke Island, and to Australia’s greatest theme parks.

    ANZSC2021 promises to be a truly amazing experience on both a professional and a social level.

    Please check out the official conference website and register your interest here.

    We look forward to seeing you on the Gold Coast in 2021!

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

    This is an invitation to submit a contribution for the: 

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

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

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

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

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

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

    SUBMISSION DETAILS

    ==================

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

    The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors

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

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

    IMPORTANT DATES

    ================

    April 30, 2021: Deadline for abstract and paper submission to the CAS Workshop.

    May 30, 2021: Notification of Acceptance

    June 20, 2021: Early-bird Registration ends

    June 20, 2021: Submission deadline for the final version of the Proceeding Papers

    New Date (will be announced soon): ICCSA 2021 Conference.


    ORGANIZER

    ===========

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

     


    • 8 Jul 2021
    • 9:00 AM (UTC+09:30)
    • 9 Jul 2021
    • 5:00 PM (UTC+09:30)
    • Flinders at Victoria Square, Adelaide
    • 15
    Register

    SSA and Flinders University are proudly offering this 2 day course with Presenter Dr Oscar Perez-Concha, Centre for Big Data Research in Health, UNSW Sydney. 


    This workshop introduces the basics for understanding and using machine learning algorithms.

    We will discuss the machine learning workflow, from clearly defining our research question to the rationale behind choosing different machine learning techniques for different scenarios, highlighting questions such as over-fitting/under-fitting, missing data, and interpretability. We will focus on the principles behind some of the most used supervised learning algorithms.

    However, the detailed mathematics underlying these algorithms will not be discussed.Real healthcare scenarios using Python will be presented. Participants need not have prior exposure to Python.

    Dr Oscar Perez-Concha is a health data scientist with over 15 years’ experience in machine learning and statistical modelling. Oscar currently works as a Lecturer at the Centre for Big Data Research in Health (CBDRH), UNSW Sydney. His research focuses on answering questions related to health and healthcare, using statistical and machine learning methods on large electronic health record datasets. This is to identify and explore outcomes for these patient groups, improve patient care and streamline clinical processes. Oscar is also passionate about teaching and supervising students. In 2018, he developed an introductory course to Machine Learning which he convenes and teaches as part of the UNSW Master of Science in Health Data Science, the first such program in the southern hemisphere. 


    Day 1 - Morning

    -Registration

    -Introduction to Artificial Intelligence and Machine Learning

    -Basic principles of Machine Learning

    Day 1 - Afternoon

    -Machine Learning algorithms I: Lasso, Ridge, K-Nearest Neighbours

    Day 2 - Morning

    -Machine Learning algorithms II: Single Decision Trees, Random Forest, and Gradient Boosted Trees

    Day 2 - Afternoon

    -Machine Learning algorithms III: Introduction to Neural Networks and Deep Learning

    -Discussion

    Prerequisites:

    Undergraduate-level statistics; Python knowledge would be beneficial but not essential.

    You will be required to bring your laptop with a recent version of Anaconda installed. This software can be downloaded here.

    On the day Coffee/tea will be offered on arrival, as well as Morning and Afternoon tea. Lunch is not provided.

    Any questions contact events@statsoc.org.au.

    The address for the workshop is:

    Flinders at Victoria Square, Level 1 Room 2, 182 Victoria Square, Adelaide 5000. (the old Reserve Bank Building).

    Please enter from Flinders Street or Victoria Square.

    Cancellation Policy:

    Event Cancellation or Postponement:

    SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances.

    Cancellations received prior to Thursday, 28 June 2021 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation.

    Deadline for canceling the course based on number of registrations will be Monday 10th May 2021.




    • 11 Jul 2021
    • (UTC+10:00)
    • 15 Jul 2021
    • (UTC+10:00)
    • The Hague, The Netherlands

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

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


    • Professor Kerrie Mengersen is the ISI President’s Invited Speaker at the Virtual ISI WSC 2021. The ISI President’s Invited Lecture is tentatively planned for Thursday, 15 July. We are excited to have Kerrie speak at our Virtual ISI WSC 2021. Want to know more about Kerrie and her work? See our website.
    • The Contributed Paper/Poster Submission System is already open! We are already receiving proposals for the CPS programme. Start submitting your proposal(s) now. The CPS announcement is available on our website. The CPS Submission System closes on 22 March.
    • We have the sponsorship and exhibition information available for the Virtual ISI WSC 2021. Know anyone who could be interested? Tell us or alternatively ask them to visit our website and get in touch with us directly!
    • The ISI has selected Worldspan to support in the delivery of the Virtual 63rd ISI World Statistics Congress. Worldspan delivers full-service association management and professional congress services to associations and non-profit organisations, globally. The Virtual ISI WSC 2021 will use Worldspan’s own online meeting and events platform, Virt-US Live.

    Follow us on Twitter / Facebook / Instagram!

    International Statistical Institute
    https://www.isi-web.org/
    http://www.isi2021.org/
    info@isi2021.org



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

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

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

    To submit an abstract, visit.

    Further information and key dates, click here.

    • 24 Jul 2021
    • 11:00 AM - 3:00 PM (UTC+10:00)
    • Online
    Register

    First workshop at the ECSSC 2021.


    Optimization plays an important role in fitting many statistical models. Some examples include least squares, ridge and lasso regression, Huber regression, and support vector machines. CVXR is an R package that provides an object-oriented modeling language for convex optimization. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the standard form required by most solvers. Moreover, problems can be easily modified and re-solved, making the package ideal for prototyping new statistical methods. First, the user specifies an objective and set of constraints by combining constants, variables, and parameters using a library of functions with known mathematical properties. CVXR then applies disciplined convex programming (DCP) to verify the problem's convexity. Once verified, the problem is automatically converted into quadratic or conic form and passed to a solver like OSQP, MOSEK, or GUROBI. We demonstrate CVXR's modeling framework with several applications in statistics and machine learning.

    We will begin with a gentle introduction to convex optimization using examples from ordinary least squares and penalized regression. This will be followed by a high-level description of CVXR, how it differs from other packages, and a discussion of the domain specific language that CVXR implements. We will show how CVXR works on different classes of problems, such as linear programs, quadratic programs, and semidefinite programs, and demonstrate its usage with a variety of examples. Finally, we will have a segment for potential developers in which we go over the nuts and bolts of adding new functions to CVXR’s library.

    About the presenter: Anqi Fu is a Ph.D candidate in the Electrical Engineering department at Stanford University. Her research focuses on developing algorithms and software for large-scale optimization with applications to data science. One of her recent projects leverages methods from optimal control to design treatment plans for cancer radiation therapy. Prior to starting her Ph.D, Anqi worked as a machine learning scientist at H2O.ai. She received an M.S. in Statistics from Stanford University, and a B.S. in Electrical Engineering and a B.A. in Economics from the University of Maryland, College Park.

    Prerequisites:  A working knowledge of statistics and linear algebra, and basic experience with a scripting language like R. We also invite attendees to bring problems of interest, which we will do our best to formulate and solve in CVXR.

    Prior to the course, please follow the instructions under “Preparatory Steps” at this link. At a minimum, you will need to install the latest stable version of R  and CVXR.


    Cancellation Policy:

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. 

    Cancellation Policy: Cancellations received one week prior to the event will be refunded, minus a $20 administration fee. From then on-wards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

    • 26 Jul 2021
    • 11:00 AM (UTC+10:00)
    • 1 Aug 2021
    • 6:00 PM (UTC+10:00)
    • Zoom/Slack
    • 443
    Register

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

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

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

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


    ECSSC2021 - The Rising Stars of Statistics