Dear {Contact_First_Name},
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We’re excited to share that the Early Career and Student Statisticians Conference has received an amazing 60 abstracts. This strong response means we’re set for a full and engaging program, showcasing a variety of insights and discussions from emerging statisticians.
In addition and to ensure wider participation, Dr. Emi Tanaka has generously offered to lead a special workshop, all proceeds from this workshop will support the SSA and aid early career statisticians. There are only 20 spots available, so be sure to support the Early Career and Student Statisticians Network and register for the workshop!
General Manager
CPD-184 Introduction to Large Language Models for Statisticians
15 October 2024 | 1:30pm - 5:00pm | Virtual
This workshop serves as an introduction to Large Language Models (LLMs), specifically tailored for statisticians. The concept behind LLMs are distilled and presented in a way that is accessible and relevant to those with a background in statistics. The workshop will help participants understand how LLMs can be integrated into existing workflows. Practical applications will be demonstrated primarily through the R programming language. Participants will receive all R codes used in the demonstration, enabling them to replicate the analyses and continue exploring LLMs on their own.
Learning objectives:
- Understanding the fundamental concepts of large Language models (LLMs) and Generative Artificial Intelligence (genAI).
- Exploring the role LLMs in modern data analysis and decision-making.
- Gain insight into practical applications of LLMs in various domains.
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Thank you for taking the time to complete the survey!
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We are very appreciative of the time you have taken to complete our short survey. We received over 200 responses and commit to utilizing the information gained to contemplate and implement worthwhile improvements. Once again, we are extremely grateful for contributing your valuable time.
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SSA Annual General Meeting with Guest Speaker Presentation by Lynne Giles 27 August 2024 | 5:30pm | Online
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Join us at the Annual General Meeting (AGM) of the Statistical Society of Australia on Tuesday, 27 August at 5:30pm AEST followed by a presentation with guest speaker, Lynne Giles All documents for the meeting including agenda, annual report, past minutes and the proxy form are now available when you log in to Members Area. Program: 5:30PM Welcome 5:35PM AGM Formalities & Announcements 6:00PM Guest Speaker Presentation by Lynne Giles 6:20PM Q & A 6:30PM Close We hope to see you there!
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SSA Early Career & Student Statistician Conference
18 - 21 November 2024 | Perth | Hobart | Christchurch
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Registration is now open!
We are excited to announce that registration is open for the ECSSC 2024! This event is a fantastic opportunity for students, early career statisticians, and established professionals to come together for mentorship, networking, and the exchange of innovative statistical ideas.
Conference Highlights
Keynote presentations
Workshop and panel discussions
Opportunities for presenting your own research
Early Bird registration close 14 Sep 2024 Registrations close 10 Nov 2024
We are especially dedicated to supporting students and early career statisticians by fostering a supportive environment where they can connect with mentors, share ideas, and receive guidance on their professional development. This is your chance to build valuable connections and gain insights that will help shape your future in statistics.
We look forward to seeing you at the conference!
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Partner with SSA Interested to partner with us from a simple event sponsorship, conferences to long-term collaboration, please reach out to Jodi Phillips at events@statsoc.org.au .
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Room 5040, Level 5, Business School Abercrombie Building, The University of Sydney
We are happy to announce a joint event with Royal Statistical Society's section on Finance and Economics and The University of Sydney Business School with a seminar by Gianni La Cava, Research Director at the e61 Institute.
Gianni La Cava will present: The Effects of Monetary Policy on Consumer Spending: Insights from Australian Bank Transaction Data
We hope to see you there.
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This is the first in the series of webinars that focus on the personal journey of older Australian statisticians that have made a difference.
What to Expect:
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Interview Session: Conducted by Dennis Trewin, former SSA President and History Committee member, Brian will reflect on his path from secondary school mathematics teacher to Associate Professor at Swinburne University. His journey is unique, transitioning into Applied Statistics and shaping graduate programs in statistics education.
Why Attend?
Who Should Attend?
Early career statisticians
Students aspiring in statistics and related fields
Anyone interested in the history and development of statistics education
Registration is free but required to secure your spot.
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Deep neural networks are powerful models capable of learning useful representations from large complex datasets for the purpose of prediction. Such models may offer great potential in applied statistical applications if they can be assembled into architectures that facilitate interpretability and that can reliably quantify uncertainty. In this talk such an application, where observed groundwater levels at monitoring wells in the Indo-Gangetic Basin, Bangladesh, were modelled using readily available spatial and spatio-temporal predictors. We constructed a model with two deep neural sub-architectures embedded within a log-additive statistical model. The sub-architectures allowed for the partitioning of groundwater dynamics arising from: (i) local hydrological forcings; and (ii) broad-scale spatio-temporal trends. The separability of these two components facilitated interpretation of the dominant groundwater trends in the basin. The log-additive statistical model also allowed for the quantification of uncertainty in predictions of groundwater levels. We observed good coverage of out-of-sample data, indicating that uncertainty quantification from the deep neural statistical model was reliable. From an application standpoint, we demonstrate that groundwater dynamics can be reliably and easily predicted at large spatial and temporal scales that may aid governments in managing water resources. From a methodological perspective, we demonstrate that it is possible to structure models to harness the powerful attributes of deep neural networks, whilst retaining some of the desirable properties of statistical models. After the talk we will be holding a dinner at 7.15pm at Taj Mahal Indian Restaurant, 39 Northbourne Ave, Canberra (https://tajmahalindianrestaurant.com.au/ )
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Statistical Consulting Network Monthly Meet-Up
30 Aug 2024 | 12:30 PM – 1:30 PM (AEST) | Online
Come along with your thinking cap, maybe a problem, and some lunch!
The Statistical Consulting Network invites you to their monthly meet-up, a virtual lunchtime meeting where statisticians help each other out with problems that they aren’t sure how to deal with. This virtual meeting is held on Zoom at lunchtime on the last Friday of each month, 12:30-1:30 PM (AEST). We start each meet-up with announcements, or occasionally a special topic discussion, then discuss problems that attendees have brought along with them.
We also have a Slack workspace where members of the consulting network can communicate between meetings, or post problems or relevant materials they would like to discuss during a meeting.
Zoom link
Password: 660145 Slack Workspace link
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Harnessing the Power of Predictive Analytics for Statisticians Presented by Our Sponsorship Partner Minitab
3 Sep 2024 | 2:00 PM – 3:00 PM (AEST) | Online
Join Minitab for an illuminating webinar that delves deep into the statistical foundations of machine learning and showcases real-world case studies in predictive analytics. Explore the intricate world of data-driven insights and decision-making excellence through a statistical lens.
Throughout this session, Minitab will unravel the statistical essence of predictive analytics algorithms, emphasizing their practical applications and significance in the realm of machine learning. Witness how these algorithms leverage statistical principles to transform complex data into actionable predictions, enabling you to anticipate trends and make informed decisions.
Engage with captivating case studies and demonstrations featuring sample datasets that demonstrate the transformative power of statistical machine learning for example how statistical analysis can be used to predict solar energy output and prevent maintenance in industrial machinery. Gain a firsthand understanding of how statistical techniques drive the predictive capabilities of machine learning algorithms.
Additionally, we will highlight the seamless integration of statistical methodologies within the predictive analytics workflow, emphasizing the critical role of statistical thinking in maximizing analytical capabilities and unlocking the true potential of data. Register now to redefine research and development through statistical insights and perspectives.
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The New South Wales branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual event for Early Career and Student Statisticians on Thursday 19th September 2024 at 6 pm. The event will take place at The Bevery, the University of Sydney (entrance is through the Courtyard Cafe or the Holme Building, there will be guides on the day).
This year we have the pleasure of hosting a handful of inspiring early-career speakers and mid-career speakers, working in various industries. The speakers have been invited to share what they’ve learned, what they’ve achieved, what they’ve enjoyed and what surprised them, as well as, perhaps, what they don’t like, what they haven’t learned, and so on. We also have a number of senior industry speakers who have been invited to provide their sage advice, insights and general guidance to those interested in developing a fruitful career in the industry.
Each speaker will give a 5-minute talk, followed by a networking session. Catering and drinks will be provided at the event. There will be plenty of opportunities for attendees to approach the speakers and each other freely.
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Nationwide search for next Superstars of STEM
An Australia-wide search is on for the next stellar Superstars of STEM – the game-changing program that powerfully advances gender equity by turning a diverse group of scientists and technologists into highly visible media stars.
Since 2017 Superstars of STEM has created 210 science, technology, engineering and mathematics media stars. It is open to women and non-binary STEM professionals. The program is run by Science & Technology Australia, funded by the Australian Government, and supported by partner organisations Google and the Department of Defence
Since 2017 Superstars of STEM has created 210 science, technology, engineering and mathematics media stars. It is open to women and non-binary STEM professionals. The program is run by Science & Technology Australia, funded by the Australian Government, and supported by partner organisations Google and the Department of Defence
Science & Technology Australia Deputy Chief Executive Officer and Superstars of STEM Program Manager Sandra Gardam said the program is fundamentally changing public perceptions of what a scientist looks like.
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Unlock your potential at the upcoming Women in STEM Careers and Entrepreneurship Masterclass, hosted by the Australian Mathematical Sciences Institute and Western Sydney University. This exclusive event will take place from 21 - 23 October at the Parramatta City Campus, Western Sydney University.
Designed for women STEM researchers, this masterclass offers a unique opportunity to delve into Australia’s research commercialisation and innovation ecosystem. Gain insights directly from industry and university experts in research innovation, and hear success stories from researchers who have transitioned into leading roles in startups or R&D teams.
Who should attend?
If you are a STEM research student or an early to mid-career researcher, this masterclass is tailored for you. We especially encourage those who have participated in an APR Internship, funded by APR’s WISE program, to take advantage of available sponsorships covering accommodation and travel expenses.
Event Details
Time and Date: 9am - 5pm AEDT, 21 - 23 October 2024.
Location: Level 9, Paramatta City Campus, Western Sydney University.
Cost: $130 GA, Free for APR.Intern WiSE subsidy recipients.
Join us at the forefront of STEM innovation and entrepreneurship.
We look forward to welcoming you to Sydney this October!
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Save the Date 2024 ADSN Conference
We are excited to announce that this year’s ADSN Conference will be in Perth. The host organisation for the conference is the Curtin Institute for Data Science.
This year’s conference will be extended to three days, with the third day being industry-focused. It will also include a visit to the Pawsey Supercomputing Research Centre.
When: Mon-Wed, 2-4 December
Where: Curtin University, Bentley Campus
Abstract Submissions and Registrations will open soon!
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The International Environmetrics Society (TIES) is a non-profit organization aimed to foster the development and use of statistical and other quantitative methods in the environmental sciences, environmental engineering and environmental monitoring and protection. To this end, the Society promotes the participation of statisticians, mathematicians, scientists and engineers in the solution of environmental problems and emphasizes the need for collaboration and for clear communication between individuals from different disciplines and between researchers and practitioners.
All contributions related to environmetrics are welcome from across academia, research institutes, government, business and industry.
Key Dates:
Deadline for Invited Paper Sessions |
15th July 2024 |
Deadline for Contributed Papers |
15th Aug 2024 |
Invited paper contributors informed of outcome |
31st July 2024 |
Contributed paper authors informed of outcome |
9th Sept 2024 |
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Registration opens |
15th July 2024 |
Deadline for early registration |
23rd Sept 2024 |
For questions contact: John Boland john.boland@unisa.edu.au
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JSM 2025 is now open to invited proposal submission
The theme for JSM 2025 is “Statistics, Data Science, and AI Enriching Society,” but not all sessions have to adhere to this theme. Formats vary for invited sessions; however, all are 110 minutes in length and have a session chair. The sessions typically include 2–6 participants, including the chair, with two of the most popular and successful formats being 2–3 speakers with a discussant or a panel discussion of 3–5 panelists.
To get session information into the early planning stages for JSM 2025, all session proposals must be submitted online. The submission site will be open through September 5, 2024 (11:59 p.m. ET).
In order to submit a proposal, organizers will need the following information:
Session Type (Invited Paper or Invited Panel) Sponsor (JSM partner society/ASA section or committee, Memorial, etc.). A pre-approved list is provided; select no more than three. Session Title Session Description (provide a short description, including focus, content, timeliness, appeal, and format) Session organizer, including affiliation and email address Session chair, including affiliation and email address Session speakers and any discussants, including affiliations and email addresses
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Employers can advertise job openings for statisticians and data analysts, while job seekers can post their own resume for potential employers to view – anonymously.
Members can register with the Career Centre, setting job alerts to be notified if a job meeting their search criteria is advertised. There's also the option of having one’s resume reviewed at no cost before uploading it, where it can be seen by potential employers.
Once registered with the SSA Career Centre as an employer, the site will allow users to post and manage job openings, search and manage prospective job candidates, and create a company profile. The fees for ads start at $130.
View All Jobs
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The SSA team would love to hear from you! If you have any feedback or news from the Australian statistical community to share in Stats Matters and Events, please get in touch with us!
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