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Events listing - SSA events
To have your event added to this list, please forward the event details, including url, to our Events Coordinator Jodi Phillips.
The Statistical Society of Australia (SSA) is offering a Careers Masterclass over three weeks with Career Success Australia for our members.
Stuck in rut? Looking for a career change? Before you go on the hunt for new beginnings, make sure you attend one or all of these three classes.
The Masterclass will be divided into three 2 hour sessions once a week:
28 September 2023 12-2pm AEST5 October 2023 12-2pm AEDT12 October 2023 12-2pm AEDT
Session 1: Resume and Cover Letter writing (28 September 2023)
Session 2: Networking and LinkedIn tactics (5 October 2023)
Session 3: Job interview training (12 October 2023)
Attendees will develop skills and knowledge to help them:
a. Understand how to create their Resume & Cover Letter
b. Learn what employers are looking for when screening Resumes
c. How to write Resumes to secure interviews
d. How to network and find jobs in the hidden job market
e. How to succeed in job interviews
Come to one or come for all!
Our Careers Masterclass is offered at an extra special rate for SSA members to show our appreciation of your ongoing loyalty. Others may attend, paying the higher non-member rate or take out membership with SSA, allowing them to take advantage of the competitive member price, as well as many other member benefits (see a list here). Full membership is currently available from $240 and student membership is available for $20. Sign up for membership here.
The SSA intends to hold more classes such as this Masterclass series. What topics are you interested in? Email SSA’s Event Coordinator, Jodi Phillips, with your suggestion(s).
Do not forget to use your SSA registered email address in order to pay the SSA member price.
Please decide carefully before registering, as we are not offering payment refunds for this event series. However, registrations are transferable within the same organisation. Please advise any changes to email@example.com. Please note that the transfer will apply to the whole series.
SSA Canberra invites you to its September (technically first October) branch meeting of 2023, which is joint with the ABS, and will feature Robert Niven from UNSW Canberra present on the topic of "Bayesian Inference for Construction of Inverse Models from Data"
Time: Start at 5:45pm and finish by 7:00pm Canberra time.
In-Person: The Gallery, Level 2, Cultural Centre, University Ave, Kambri ANU (The Gallery - Kambri). There is a single level, underground car park at Kambri, with elevator access directly into The Gallery, and two pedestrian access points (Car Parking Kambri | Australian National University | Care Park).
Dinner: After the talk we will be holding a dinner at 7.15pm at Lemon Grass Thai Restaurant, 65 London Circuit, Canberra (Home (lemongrassthai.com.au)).
If you are interested in attending the dinner, please let us know by 5pm Monday 9 October by entering your details at SSA Canberra Branch dinner attendance sheet or contacting Warren Muller (firstname.lastname@example.org ; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text Warren (0407 916 868).
NOTE: We are offering discounts to SSA early career and student members who attend dinner! For this meeting, dinners will be a fixed charge of $10 for student members and $20 for early career members.
Speaker: A/Prof Robert K. Niven, School of Engineering and Technology, The University of New South Wales, Canberra, Australia.
Topic: Bayesian Inference for Construction of Inverse Models from Data
Abstract: This talk considers the inverse problem y =f(x), where x and y are observable parameters, in which we wish to recover the model f. Examples include dynamical systems or combat models with y=dx/dt and x=parameter(s), water catchments with y=streamflow and x=rainfall, and groundwater vulnerability with y=pollutant concentration(s) and x=hydrological parameter(s). Historically, these have been solved by many methods, including regression or sparse regularization for dynamical system models, and various empirical correlation methods for rainfall-runoff and groundwater vulnerability models. These can instead be analyzed within a Bayesian framework, using the maximum a posteriori (MAP) method to estimate the model parameters, and the Bayesian posterior distribution to estimate the parameter variances (uncertainty quantification). For systems with unknown covariance parameters, the joint maximum a-posteriori (JMAP) and variational Bayesian approximation (VBA) methods can be used for their estimation. In this seminar, the Bayesian theoretical foundations are first explained, and the method is then demonstrated for a number of dynamical and hydrological systems.
Biography: A/Prof Robert K. Niven is an academic in engineering at UNSW Canberra, Australia, with research interests in probabilistic inference, theoretical fluid mechanics and environmental contaminants. His work has been recognised by international fellowships, including Churchill, Fulbright, Japanese, Marie Curie and Endeavour fellowships, and substantial research grants. He is Editorial Board member of journals Entropy and Stat, and has led or played major roles in conference organisation (including AFMC, MODSIM and MaxEnt series of conferences). He is an elected Council member of the Australasian Fluid Mechanics Society, and is Lead Chair of the Australasian Fluid Mechanics Conference (AFMC2024) to be held in Canberra, Australia, in December 2024.
Website links: https://statsoc.org.au/Canberra-Branch-meetings
Announcing the October meeting of the WA Branch of the Statistical Society of Australia. Our guest speaker is Dr Caren Han of The University of Western Australia.
Date: Tuesday, 10 October 2023
Location: Blakers Lecture Theatre, The University of Western Australia.
Dr Caren Han, The University of Western Australia
Large language models (LLMs) are capable of analysing and generating text. They are trained on a vast amount of textual data to enhance their performance in tasks like text generation and even programming. Most current LLMs mainly focus on text processing. However, humans normally communicate and understand the situation via multimodality.
Multimodal LLMs combine other data types, such as images, videos, audio, and other sensory inputs, along with the text. The integration of multimodality into LLMs addresses some of the limitations of current text-only models and opens up possibilities for new applications that were previously impossible.
In this project, we will go through how the trends and limitations of large language models and introduce a way to make trustable LLMs with multimodality.
Dr Caren Han is currently co-leader of AD-NLP (Australia Deep Learning NLP Group) and a Senior Lecturer at the University of Western Australia and an honorary senior lecturer at the University of Sydney and the University of Edinburgh, U.K.
Her research expertise lies in Natural Language Processing, encompassing areas such as multi-modal (Visual-Linguistic) Learning, Explainable and Refinable NLP, sentiment analysis, abusive language detection, dialogue systems, and natural language understanding. This research interest has led her to successfully secure more than 5 million dollars in international and national research and industry grants. Over the last 5 years, she has published in 42 top-tier international ERA A* and A conferences, including receiving recognitions such as the Best Paper award (ICONIP 2020 - ERA A) and Best Area Paper award (COLING 2020 - ERA A).
She is the winner of several teaching awards and research awards, including Teacher of the Year 2020, Australia Young Achiever 2017, Supervisor of the Year 2021, and Early Career Research Award (Physics, Math, and Computing) 2023. In addition, she was chosen as a Teaching Champion, a distinction bestowed to only one individual in the engineering faculty, at the University of Sydney in 2022.
Members, visitors, and guests are invited to mingle over wine and cheese from 5:30PM.
Following the meeting you are invited to dine with the speaker and fellow attendees at a local restaurant.
The Blakers Lecture Theatre is located on the ground floor of the Mathematics building at The University of Western Australia. Its entrance is on the northern side of the building. See: Campus Map, Google Maps.
Parking is free on the UWA Crawley campus after 5:00PM. A convenient place to park is Car Park 18 accessible from Fairway Entry 1.
For further information please contact the WA Branch Secretary (email@example.com).
Platform trials and master protocols
Presented by Thomas Jaki and James Wason
Master protocols are a class of efficient clinical trial designs that seek to answer multiple research questions within a single trial protocol and include platform, basket and umbrella trials. The advantages of using such designs are many, ranging from use of a shared trial infrastructure to reusing information within the study (e.g. using a single control group or borrowing of information).
In this course they provide an overview of statistical approaches to the design and analysis of Master protocols in a mixture of lectures and practical sessions. The following topics will be discussed:
· A framework for designing multi-arm multi-stage platform trials
· Methods for information borrowing with application to Basket and Umbrella trials
· Software for Master protocols
· Practical considerations when implementing a Master protocol
The Australian Trials Methodology Conference will be run as a hybrid event on the 17th and 18th of October 2023.
We are delighted to announce the following invited speakers, with more to follow shortly:
Thomas Jaki (in person)
James Wason (in person)
Laura Flight (online)
Miguel Hernan (online)
Marta Bofill Roig (online)
Registration is now open, and the Scientific Program Committee are now accepting abstracts for short oral presentations. Presentations may either be in person or online via the conference platform. Submissions close July 28. To review the full guidelines please see the website:
Join us for the SSA Vic & Tas branch's annual Belz Lecture, where we'll hear from Professor Inge Koch in her talk titled "Mathematics, Gender and Statistics". Following the talk in-person attendees are invited to join us for dinner to be held at University House The Woodward - tickets available here!
Can girls and boys learn mathematics equally well? Can women be great mathematicians?
To increase our understanding of the relationship between mathematics and gender, we consider surveys of about 8000 Year 5-9 school students that teachers of AMSI’s ChooseMaths program conducted from 2016 to 2019 in 120 schools across Australia. The surveys’ aims consisted in examining attitudes of students to mathematics across the genders and school years, and in evaluating the effectiveness of well-designed treatment regarding students’ change of attitude to mathematics with a particular focus on confidence building. We describe the statistical analyses which range from simply summaries to multivariate analysis. The findings are encouraging and show that attitudes to mathematics and confidence in one’s mathematical ability can improve with the right treatment. Although girls start at a lower confidence level in their Year 5, their gains are larger than those of boys. The analyses further highlight that the changes in confidence and attitude due to treatment are much larger than the differences between the genders.
Professor Inge Koch is a Statistician with research interests in the analysis of high-dimensional and functional data, ranging from new methodology to cross-disciplinary collaborations including biologists and medical experts. She has a strong background in pure and applied mathematics and experience in industry and the CSIRO. Since the completion of her PhD in statistics at the Australian National University, she first taught statistics at the University of Newcastle and the University of New South Wales. In 2009 she became Associate Professor in Statistics at the University of Adelaide, and, in 2019, she was appointed as Professor of Statistics and Data Science at UWA. Inge joined RMIT as Associate Dean, Mathematical Sciences, in February 2023.
Throughout her career, Inge has been a champion for mathematics and gender diversity in mathematics, passionate about encouraging young women to study mathematics at all levels and to follow careers that use maths skills. She is a co-founder of UNSW’s Girls Do The Maths, a program that began in 2004 and still flourishes today. She brought the same commitment to diversity to the University of Adelaide through her involvement with the Women in Mathematics Workshops. In 2015, she was appointed Executive Director of the Australian Mathematical Sciences Institute (AMSI) and of their ChooseMaths program which aimed at changing public perception of mathematics and improve participation, particularly of girls and women, in mathematics across Australia. At UWA she combined this interest with developing statistical data science at all levels ranging from a new first year course in data science to research forums involving academics and HDR students from all faculties. She has been part of the National Review panel for Data Science, jointly organised by AMSI and the SSA, and is a member of the AMSI board.
5:45pm - Welcome to Country
6:00pm - Introduction
6:10pm - Talk starts
7:00pm - Q&A
7:15pm - Event ends, dinner to follow for those with tickets
The Victorian and Tasmanian Branch of the Statistical Society of Australia warmly invites members and guests our to premier social event of the year, the Belz Dinner. The Belz Dinner will be held at University House at the Woodward from 7:30PM, with the dinner immediately following the annual Belz Lecture, given this year by Professor Inge Koch. Join us for a three-course dinner and beautiful views.
The Belz Dinner is at University House at The Woodward - this is located at the top of the University of Melbourne's Law building.
If you have any dietary requirements please include them in your ticket registration.
Tickets are limited and will only be available up until the 11th of October. To purchase a ticket at the member rates you need to be logged in to your account.
Date: Wednesday 18 October 2023
Time: 5:00-7:15pm CDST
Venue: Seminar Room 214, The Braggs Building, The University of Adelaide
Registration: Please register on Eventbrite by clicking on the "Reserve a spot" button: https://tinyurl.com/42zskc7w.
RSVP required by COB Monday, 16 October
5:00 pm - 5:30 pm: Welcome and refreshments
5:30 pm - 6:45 pm: Presentations followed by Q&A
6:45 pm - 7:15 pm: Networking
If you are beginning your career in statistics and would like to meet employers and other statisticians in SA, this event is for you! The event is open to members and non-members of The Statistical Society of Australia.
You will have the opportunity to learn about and discuss the following topics:
Refreshments will be provided (including pizza from the Uni Bar). For any dietary requirements, please email us at firstname.lastname@example.org
Please join us online or in person for our October Queensland Branch Meeting. The seminar will start at 5:00 pm. Details for the seminar are provided below.
TITLE: From uncertainty to certainty: exploiting parameter relationships to manage uncertainty in mathematical modelling
SPEAKER: Gloria Milena Monsalve Bravo, University of Queensland
TIME: 5:00 - 6:30 pm (AEST), 18th October 2023
VENUE: 0500D-512 - 88 Creek Street, Brisbane and online (Zoom details will be sent with registration).
Special instructions for in-person venue: Enter through the main door at 308 Queen Street and pass through the Atrium. Speak to the concierge at the elevator located at the back of the room, and notify them that you are attending the Statistical Society of Australia event.
Please note that the seminar will be recorded and might be put on YouTube or similar platform.
Deterministic mathematical models are widely used across ecology, biology, and chemistry to interrogate the mechanisms that underpin natural and physical processes. However, as our understanding of these processes improves, models are made more complex and often require many more parameters to be estimated from available data. Unfortunately, in many of these mathematical models, so-called “sloppy”, parameters cannot be uniquely estimated, and so a significant amount of uncertainty in parameter values often remains after even a very successful fit of the model to data. The reason for this is that the model’s behavior is often controlled by a relatively small number of stiff parameter combinations which significantly influence model predictions. This talk, therefore, focuses on how to identify these key parameter combinations by using a Bayesian inference-based approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of both data and prior beliefs (e.g., from experiments and/or expert knowledge). In this way, this approach can reveal which of the key parameter combinations are informed primarily by the data or are also substantively influenced by the priors. Different examples in ecology, biology, and chemistry will be discussed to showcase the benefits of this technique for applications where mathematical models need to be fitted to data while focusing on the very common context in complex systems where the amount and quality of data are low compared to the number of model parameters to be collectively estimated. Furthermore, it will be shown how the stiff parameter combinations, once identified, can uncover controlling mechanisms underlying the system being modeled and also inform which of the model parameters need to be prioritized in future experiments for improved parameter inference from collective model-data fittings.
Statistics can be considered both an art and a science.
The science of statistics is concerned with the mathematical, computational, or formal methods to abstract procedures or proofs related to extracting targetted information from theoretical or empirical data. This scientific approach is characterized by rigor, precision, and exactness, ensuring that statistical analyses and conclusions are based on sound principles and valid methodologies.
The art of statistics involves the creative and interpretive elements of working with data. It includes the human judgement, intuition, and understanding in the statistical process or communication that ultimately feeds in as input for conducting the "science". Concrete examples include making (informed) decisions for data pre-processing, defining data structure for study designs, and interpretation of the statistical results.
In practice, we require both the art and science of statistics to be effective. However, research and teaching of statistics is skewed towards the science, and there is little formal or systematic training for the art of statistics. In this talk, Emi will share her academic journey and demonstrate some of her research that leans towards the art of statistics, in particular, through reforming the approach to statistical software as cognitive tools that enable the science.
Dr. Emi Tanaka is a Senior Lecturer in Statistics at the Biological Data Science Institute (and the Research School of Finance, Actuarial Studies and Statistics) at the Australian National University. Her primary interest is to develop impactful methods and tools that can be readily used by practitioners. She interfaces across multiple disciplines to bridge statistical concepts and findings to a broad range of individuals. To this end, she has developed numerous open-source tools, primarily as R-packages, and resources aimed at making statistical methods accessible to a diverse audience. Emi demonstrates a proactive approach to community development and education through her involvement in the branches of the Statistical Society of Australia (SSA) and other committees. She is the current Vice-President of the SSA Vic & Tas and a council member of the International Biometrics Society Australasian Region. Her contributions are recognised with the SSA Distinguished Presenter's Award, SSA President’s Award for Leadership in Statistics, and being featured in the list of 60 prominent Australian statisticians in the Significance magazine.
Join the SSA Vic & Tas branch for another hacky hour! This time we'll be looking at how to creating R packages and discuss what is a good design for an R package. Current branch Vice President Emi Tanaka will cover some of the basics involved with writing your own R package and what to consider in designing your own package.
Hacky hours are informal, hour-long lunchtime sessions where we get together (via Zoom) to collaboratively work and learn together on a particular topic. These sessions are open to everyone, so if the topic interests you, come along!
If you are a student creating a package, be sure to check out the Di Cook Award.
Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. The BigDataSE-2023 is going to provide a prime international forum for researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state-of-the-art practice of Big Data and broadly related areas. The goal of this conference is to promote community-wide discussion for identifying advanced applications, technologies and theories for big data. We seek submissions of papers that invent novel techniques, investigate new applications, introduce advanced methodologies, propose promising research directions and discuss approaches for unsolved issues.
BigDataSE-2023 will be hosted in Exeter, the capital city of Devon and provides the county with a central base for education, medicine, religion, commerce and culture. The city is also home to the magnificent Exeter Cathedral, which dates back to Norman times. Exeter is also ideally placed to base a trip to branch out visiting places such as the famous Dartmoor National Park and the unspoilt beaches of the North and South Devon coastlines.
Prospective authors are invited to submit their papers to BigDataSE-2023. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.
Topics of interest include, but are not limited to:
* Systems, Models and Algorithms
* Big Data novel theory, algorithm and applications
* Big Data standards
* Big Data mining and analytics
* Big Data Infrastructure, MapReduce and Cloud Computing
* Big Data visualization
* Big Data curation and management
* Big Data semantics, scientific discovery and intelligence
* Big Data performance analysis and large-scale deployment
* Security, privacy, trust, and legal issues to big data
* Big Data vs Big Business and Big Industry
* Large data stream processing on cloud
* Large incremental datasets on cloud
* Distributed and federated datasets
* NoSQL data stores and DB scalability
* Big Data placement, scheduling, and optimization
* Distributed file systems for Big Data
* MapReduce for Big Data processing, resource scheduling and SLA
* Performance characterization, evaluation and optimization
* Simulation and debugging systems and tools for MapReduce and Big Data
* Volume, Velocity, Variety, Value and Veracity of Big Data
* Multiple source data processing and integration with MapReduce
* Storage and computation management of Big Data
* Large-scale big data workflow management
* Mobility and big data
* Sensor network, social network and big data
* Big data applications
PAPER SUBMISSION GUIDELINE
All papers need to be submitted electronically through the conference submission website (https://hpcn.exeter.ac.uk/bigdatase/<https://hpcn.exeter.ac.uk/bigdatase2023/>) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts).
Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference.
CALL FOR WORKSHOP PROPOSALS
BigdataSE-2023 is inviting proposals for high-quality workshops to complement its scientific program. Workshop topics should fall within the broad area of Big Data Science and Engineering. The workshop organizers are highly encouraged to include interactive and hands-on working sessions.
The organizers of approved workshops are responsible for advertising their workshops, collecting papers, managing the review process, making accepted papers available to workshop participants (e.g., workshop website).Conference facilities such as meeting rooms, wireless Internet and meals will be provided by the main conference local organizers.
WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS
Workshop proposals should be formatted as a single PDF document of 1-2 pages, describing the following:
* The full name and acronym of the workshop
* A description of the theme of the workshop and its key topics
* A tentative list of workshop chairs
* A tentative CFP
To Submit: Please email your proposal to email@example.com with the title “BigDataSE Workshop Proposal”.
* Workshop Proposal: 15 May 2023
* Paper Submission Deadline: 1 July 2023
* Authors Notification: 1 September 2023
* Final Manuscript due: 1 October 2023
* Registration Due: 1 October 2023
* Conference Date: 1-3 November 2023
ISI Committee on Women in Statistics (CW-ISI) Free Webinar
Value of Networking and Mentoring to Achieve Your Best: Do you have to be a Superwoman to be Successful?
8 November 2023 at 12.00-13.00 UTC (Check your localized time and date. Paris: 13.00-14.00 CET; Sydney: 23.00-24.00). Use the time converter for your time zone appropriate for November 8, 2023)
The webinar is free of charge. There will be room for comments and questions. The Webinar will be recorded. Webinar duration: 60 minutes.
Speaker: Prof Ayse Aysin Bilgin