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Events listing - SSA events
To have your event added to this list, please forward the event details, including url, to firstname.lastname@example.org.
You are invited to the SSA Environmental Statistics May seminar, held jointly with NIASRA (Wollongong).
Jonathan Rougier (University of Bristol)
Estimating volume from point-referenced thickness measurements
May 14, 2021 04:00 PM (EST)
Click here to join the Zoom event.
About the seminar:
Accurate sizing of historical volcanic eruptions is challenging, because the deposition process is complicated, and because the remnants of the deposition process are sparse and heavily degraded. The substantial uncertainty means that point estimates are much less informative than confidence intervals. I will describe a computationally intensive algorithm for producing a 95% confidence interval for tephra fall volume, using a variety of modern statistical tools. I will also describe the various R packages and tools that I use.
About the presenter:
Jonathan Rougier is a consulting statistician, formerly Professor of Statistical Science and Head of Statistics in the School of Mathematics, University of Bristol (up to June 2019). He is a 'full service' statistician, but has worked extensively in Earth and Environmental Science. He is the 2021 recipient of the Royal Statistical Society Barnett Award for Environmental Statistics.
You can also join from a video conferencing system or application:
Join from iPhone one-tap (AU Toll):
Join by phone:
+61 8 7150 1149 Australia
+61 2 8015 6011 Australia
+61 3 7018 2005 Australia
+61 7 3185 3730 Australia
+61 8 6119 3900 Australia
Meeting ID: 890 3513 7011
International numbers available here:
Join using Microsoft Skype for Business:
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.
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.
Please join us on May 18th at 5:30pm, Menzies room 206 to remotely join the Victorian branch meeting (abstract info here).
Security is present until 7pm, and due to Covid restrictions, RSVP is required (please e-mail: email@example.com).
If you can’t make this meeting but are interested in future locations - please also register your interest with me as well and I will be sure to keep you posted!
Thank you to the Vic branch for extending an invitation to us to join in, and Menzies for hosting. We are grateful for your support!
SSA Vic is pleased to have A/Prof Simon Angus talk to us about the internet activity data and what the analysis reveals about human activity. We hope you join us!
Despite free access to the internet being recognised by the UN as a human right since 2016, and more than half of humanity now being online, in many locations, digital freedoms are routinely interrupted by electricity outages, network failures, congestion, and sovereign interference. But can these interruptions be detected and documented. How wide-spread are they? Are some countries or peoples more impacted than others? Founded in 2017, the Monash IP Observatory has been measuring the availability and quality of experience of 400 million internet-connected end-points in around 20,000 localities across the globe, 3 billion times a day. Anomaly detection has been a feature of the observatory since its inception, with methods constantly in development and deployment alike. Here, we give an overview of the observatory, its data stream, and the challenges that face statistical anomaly detection in this context. We provide examples from Venezuela, Myanmar, and sub-Saharan Africa, and draw on experiences providing insights for several national and multi-national organisations.
Associate Professor Simon Angus is a co-founder and director of the Monash IP Observatory, housed at SoDa Laboratories, Monash Business School where he is a member of the Department of Economics. Simon brings a decade’s worth of experience across computational and complexity science, with a particular emphasis on applying modern tools to new problem domains in the social, biological, and physical sciences.
There is also a chance to enter a draw to win the SSA T-Shirt (http://bit.ly/ssa-tshirt) for one lucky Victoria or Tasmania resident!
If you have any questions please contact firstname.lastname@example.org.
SSA Canberra invites you to its May branch meeting, which will be joint with ABS and feature Cristian Rotaru from ABS speaking about the Bureau's use of timely economic indicators.
Times (+/- some standard errors):
6:00pm-7:00pm Canberra time: Presentation on Zoom. Note the Zoom link itself opens around 5:30pm.
Unfortunately, no virtual pre-drinks and nibbles will be provided this time around. However all SSA Canberra members should/will receive an separate invitation branch meeting email, which contains further instructions to attend the dinner after the meeting. If you have not received this email and wish to attend the dinner, please contact email@example.com.
RSVP: Please register in advance for this meeting:
After registering, you will receive a confirmation email containing information about joining the meeting.
If you have any questions, please feel free to contact firstname.lastname@example.org.
Speaker: Cristian Rotaru, ABS
Topic: Using payroll transaction data: statistical opportunities and challenges
Abstract: The unfolding of the COVID-19 pandemic trigged a spike in the demand for timely and granular economic and social statistics; policy makers, researches, and users in general looking at ways to use data to better understand and respond to a rapidly changing environment. In response to these challenges, national statistical offices turned their attention to the use of new and non-traditional data sources and the development of innovative statistical methods.
This April marked a year since the first release of the Australian payroll jobs and wages – initially, a COVID-19 temporary product, which developed into an ongoing ABS fortnightly series. Key to this series has been the Australian Tax Office (ATO) Single Touch Payroll (STP) data which provides near real-time information on changes in the labour market.
This presentation will provide insights into the statistical underpinnings of the series: the relevant data sources, data processes, and statistical methodologies. It will also reflect on the statistical opportunities and challenges encountered.
Biography: Cristian is Assistant Director and Principal Statistical Analyst at the Australian Bureau of Statistics, which he joined as a graduate in 2010. He has extensive experience in data analysis, data integration, causal inference, data mining, and sample surveys. In 2014, Cristian was awarded the ABS Ken Foreman Award in recognition of “his outstanding contributions to expanding the analytical capability in the ABS, including longitudinal analysis and propensity score matching". Cristian holds a Bachelor of Commerce (with Honours) from the University of Melbourne, and a Master in Applied Economics and a Postgraduate Certificate of Science from the Australian National University.
About the dinner: On the evening of 25 May at 7:30pm, there will be dinner at Pho Hub, 39 Benjamin Way, Belconnen https://www.phohub.com/
For safety and determining numbers for the booking, if you wish to attend this dinner, please RSVP by 5pm Monday 24 May:
1. Enter your details here: https://docs.google.com/spreadsheets/d/1tQgomRy2VN7q-VD6oKVey2W-APzqRcs7qFB_o6JtqN4/edit?usp=sharing
2. Reply to this email (email@example.com) to confirm
Website link: https://statsoc.org.au/Canberra-Branch-meetings
Dr Brodie Lawson, QUT
Wednesday 26 May, 12pm-1pm AEST
Please register to receive the zoom link: https://bit.ly/31VKR9w
In this lecture, Dr Brodie Lawson demonstrates how mathematical models and computer simulations help us better understand the complexities of the heart. This talk will show the astounding complexity of one of the body’s most important organs, and how through virtual computer simulations, we can come to understand it in new ways that traditional experiments could never reveal.
Underlying the heartbeat is in fact a rich signalling process, in which cells receive electrical stimulus that triggers them to beat. In the normal heartbeat, these stimuli are waves of excitation that travel through the heart, causing each cell to contract in turn and together produce a coordinated pumping motion. The body then controls the heartbeat by choosing how quickly to initiate these waves ー for example, more rapidly during exercise. Unfortunately, it’s surprisingly easy for this to go wrong. Each heart cell waits for a signal, but can’t tell if a signal was legitimately initiated by the body. When this causes coordination to be lost, the result is arrhythmia, in which heart function is impaired or even lost entirely (ventricular fibrillation). Worse, our treatments for these issues remain unacceptably inconsistent. Understanding why antiarrhythmic medicines or surgeries work for some and not others remains a key question in cardiac physiology.
The 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:
We hope participants will come away from the series with the confidence to share their research in an engaging manner.
About workshop 2: Visualising Your Data
Data visualisation is a core component of good statistical communication and we need to consider the presentation mode in considering the design of data visualisations. Effective communication of statistical findings requires the ability to produce both production-ready and presentation-ready graphics. This workshop will focus on the key aspects of creating high quality graphics suitable for conference presentations. Associate Professor Sue Finch will discuss the principles of graphical excellence, and how we can use these to produce engaging and easily interpretable graphics.
About the presenter: Associate Professor Sue Finch
Associate Professor Sue Finch is an experienced statistical consultant who has worked in the Statistical Consulting Centre at the University of Melbourne since 2004. She has consulted on over 750 projects for clients from industry, business and government, and academic staff and post-graduate students at the University of Melbourne in that time. She has expertise in the development of innovative statistical teaching and learning resources, and in the effective representation and communication of statistical data and concepts. She has broad experience in teaching statistics subjects at the undergraduate and postgraduate level to students in many applied disciplines. She has a special interest in teaching and promoting statistical literacy. Sue has published with collaborators in journals in many branches of medicine, veterinary science, animal science and agriculture, applied health care and social science, as well as in statistics education. Sue is an Accredited Statistician with the Statistical Society of Australia (SSA) and a co-chair of the SSA’s Statistical Consulting Network. She is the Deputy Director of the Statistical Consulting Centre.
This event is free for registered delegates of ECSSC. If you are registered for ECSSC, please contact Jodi Phillips, SSA's Events Coordinator, for your booking code.
Cancellation Policy: Online events have no cancellations.
If you have any questions, please contact us.
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.
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.
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
Fax registration form to: Department of Public Health Sciences
Email booking and enquiries can be made by contacting Paula Talbot at firstname.lastname@example.org
Associate Professor, Lewis Mitchell, University of Adelaide
Wednesday 9 June, 12pm-1pm AEST
Please register to receive zoom link: https://bit.ly/3bhKB9C
In recent years there has been an explosion of concern around terms like “fake news”, “misinformation”, and “disinformation”. And online social networks such as Twitter and Facebook are often implicated (with good reason) in their spread. But what do each of these terms mean, how do they differ, and what role do the online social networks really play? In this talk Associate Professor Lewis Mitchell explores mis/disinformation online, and in particular, some of the underlying mathematics governing how all kinds of information spread over social networks.
About workshop 3: Honing Your Pitch
Discover techniques to effectively convey your research in a short period of time. In this interactive workshop, Dr Will Grant will cover how to concisely present what you do, how you do it and why without losing the importance of your work.
About the presenter: Dr Will Grant
Dr Will Grant is Senior Lecturer in Science Communication at the Australian National Centre for the Public Awareness of Science at ANU. Awarded for his public policy and outreach work, Will has authored or co-authored dozens of works in various scholarly outlets (including Public Understanding of Science, Environmental Communication, Computers in Human Behaviour, Scientometrics and Higher Education Policy), and written commissioned and pitched articles and opinion pieces in high impact public facing outlets (including The Guardian, The Sydney Morning Herald, The Australian, The Conversation, Times Higher Education, The Canberra Times, The Brisbane Times, Crikey, The Drum, Climate Spectator and ABC Environment), focusing mostly on the interaction of science, politics and technology. He is co-founder of the researcher employment service PostAc.
Will is regularly heard on Radio National discussing science for Research Filter and Nightlife, as well as podcasting in The Wholesome Show and G’day Patriots , both of which have charted in the Australian iTunes top 50. Will has held science communication workshops for a range of Australia’s leading science organisations, including Universities Australia, Science and Technology Australia and the Australian Academy of Science, as well has various universities and research institutes, government departments and scientific societies around the country. He tweets at @willozap.
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.
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.
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 email@example.com.
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
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
Introduction to Qualitative Research: Online
Fundamentals of Structural Equation Modelling: Online
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.
Membership Services, Marketing and Events Coordinator
Australian Consortium for Social and Political Research Inc.
+61 3 8376 6496
Find out more.
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!
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.
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.
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.
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
-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
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 firstname.lastname@example.org.
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.
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.
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.
Follow us on Twitter / Facebook / Instagram!
International Statistical Institute
2021 AMSI WINTER SCHOOL ON STATISTICAL DATA SCIENCE
APPLICATIONS ARE NOW OPEN FOR THE 2021 AMSI WINTER SCHOOL
AMSI and QUT are proud to present the 2021 Winter School on Statistical Data Science from 12-23 July.
For the first time, the program will be hosted virtually with options for students to attend event hubs in selected states. Boasting an impressive speaker line-up, attendees can delve deeper into modules focusing on Bayesian statistics, modern neural networks, and advanced Markov chains and Monte Carlo methods.
This event is aimed at postgraduate students, early career researchers and industry professionals wanting to sharpen their skills.
Program details are here below:
Event: AMSI Winter School 2021
Dates: 12 – 23 July
Where: Virtual program, with selected event hubs for those who wish to meet face-to-face
Theme: Statistical Data Science, featuring modules on:
Applications are now open and will close at 11.59pm on Sunday 20 June.
Scholarships are also available to AMSI Member students requiring financial assistance to cover program fees. To apply, go to https://ws.amsi.org.au/apply-for-a-scholarship/
For any further enquiries, please contact email@example.com
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.
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.
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 firstname.lastname@example.org.
About the short course:
As modern data applications become complex in size and structure, identifying the underlying shape and structure has become of fundamental importance. The classical approaches such as dimension reduction are challenging for handling these applications. Topological data analysis (TDA) is a rapidly developing collection of methods that focuses on the “shape” of data. TDA can uncover the underlying low-dimensional geometric and topological structures from high-dimensional datasets. TDA has been successfully applied to various areas, including biology, network data, material science, and geology, in recent years. The goal of the lecture is to introduce novel TDA methods that can capture geometric or topological information of data and make statistical inferences. This lecture aims to familiarize these new methods along with their applications to various types of data.
About the presenter:
Chul Moon received his Ph.D. in Statistics from the University of Georgia. He joined the Department of Statistical Science at Southern Methodist University as an Assistant Professor in 2018. His research interests include topological data analysis, empirical likelihood, and ranked set sampling. His research aims to develop statistical methods in biosciences and geosciences.
Basic statistical knowledge and R
The Early Bird Deadline ends on 26 June 2021.
Source of figure: Ghrist, Robert. "Barcodes: the persistent topology of data." Bulletin of the American Mathematical Society 45.1 (2008): 61-75.
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!
The early bird deadline closes on 26 May 2021.
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