class: center, middle, inverse, title-slide # Statistical Society of Australia
Victorian Branch ## March Event ###
### 16th March 2021 --- layout: true .footnote[ <img style="vertical-align:middle" src='images/logo/other/png_transparent/SSA_Monogram_Navy-White.png' height='40px'/> These slides are available at https://statsocaus.github.io/vic/intro/2021-03-event.html ] --- class: inverse middle # Welcome! {{content}} ??? # Acknowledgement of Country <!-- https://www.statsoc.org.au/Guidelines --> .measure.lh-title[ In the spirit of reconciliation the Statistical Society of Australia acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. ] --- name: council # SSA Vic Council 2021 .flex[ .person.f4[ .circle-image-120[ <img src='images/council/emi.jpeg'>] **President** Emi Tanaka] .person.f4[ .circle-image-120[ <img src='images/council/damjan.jpeg'>] **Vice-President** Damjan Vukcevic] .person.f4[ .circle-image-120[ <img src='images/council/ben.jpeg'>] Ben Harrap] .person.f4[ .circle-image-120[ <img src='images/council/cameron.jpeg'>] Cameron Patrick] .person.f4[ .circle-image-120[ <img src='images/council/daniel.jpeg'>] Daniel Fryer] .person.f4[ .circle-image-120[ <img src='images/council/lizzie.jpeg'>] Elizabeth Korevaar] ] <br> .flex[ .person.f4[ .circle-image-120[ <img src='images/council/hien.jpeg'>] Hien Nguyen] .person.f4[ .circle-image-120[ <img src='images/council/kevin.jpeg'>] Kevin Wang] .person.f4[ .circle-image-120[ <img src='images/council/lauren.jpg'>] Lauren Kennedy] .person.f4[ .circle-image-120[ <img src='images/council/lidija.jpeg'>] Lidija Turkovic] .person.f4[ .circle-image-120[ <img src='images/council/patrick.jpeg'>] Patrick Robotham] .person.f4[ .circle-image-120[ <img src='images/council/rheanna.jpg'>] Rheanna Mainzer] ] --- name: contact # Statistical Society of Australia .f2.color-secondary[Victorian Branch] .f4.lh-title.measure[ **The purpose of SSA Vic is to advance the study and practice of statistics.** SSA Vic enacts this by supporting individuals interested in the discipline of statistics, promoting the statistics profession to the general Victorian community, and offering common grounds to connect individuals to build an inclusive community centered on the study and practice of statistics.] .lh-title[ <br> <i class="fa fa-link color-secondary"></i> [www.statsoc.org.au/Victoria](https://www.statsoc.org.au/Victoria) <br> <i class="fa fa-envelope color-secondary"></i> [vic.branch@statsoc.org.au](mailto:vic.branch@statsoc.org.au) <i class="fa fa-envelope color-primary"></i> [eo@statsoc.org.au](mailto:eo@statsoc.org.au) <br> <i class="fab fa-twitter color-secondary animated bounce"></i> [@SSAVictoria](https://twitter.com/SsaVictoria) <i class="fab fa-twitter color-primary"></i> [@StatSocAus](https://twitter.com/StatSocAus) <br> <i class="fab fa-meetup color-secondary"></i> [bit.ly/ssavic-meetup](http://bit.ly/ssavic-meetup) ] --- name: benefits # SSA Membership Benefits * Huge discounts in workshops!<br> .f5[<i class="fas fa-comment"></i> Let the SSA CPD Committee know what workshop you want [here](https://docs.google.com/forms/d/e/1FAIpQLSdvGKKG1mZ7nG7uxeMam0LqBoUEmyFyYOiLfqnNUcBh5Ol3Iw/viewform).] <details class="f5"><summary>Workshops run in 2020</summary> <ul> <li>Machine Learning with Python (SSA Vic)</li> <li>Introduction to Julia for Statistics and Data Science (SSA Vic)</li> <li>Data Visualisation with R (SSA Vic)</li> <li>Data Wrangling with R (SSA NSW)</li> <li>Semiparametric regression with R (SSA NSW)</li> <li>Version control using Git and RStudio (SSA)</li> </ul> </details> -- * Member-only events!<br> .f5[<i class="fas fa-users"></i> Full list of events: https://www.statsoc.org.au/Events-listing] -- * [Fellowship funding support](https://www.statsoc.org.au/Fellowship-support), [PhD or Masters top-up scholarships](https://statsoc.org.au/top_ups), ... -- * And more! - https://www.statsoc.org.au/Membership-benefits - Student membership is only $20 per year. -- .ba.pa2.w-70.border-color-black.bw2.bg-color-primary.white[.animated.flash[<i class="fas fa-caret-right"></i>] To join go to: https://www.statsoc.org.au/How-to-join ] --- # Save the date! * **Tue 20th April 6PM** <br> _The rise and rise of Data Science Centres and Institutes_ <br> <i class="fas fa-comments"></i> Featuring talks followed by panel discussion by: * 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). * **Tue 18th May**<br> <i class="fas fa-trophy"></i> Trivia (there may be prizes) -- * From May onwards, we may start switching to hybrid (in-person + online). -- *Stay tuned for more details!* --- class: inverse middle # The statistical quandaries of an ecologist<br> .f2[Applied and theoretical statistics for conservation] .circle-image-200.fr[ <img src="images/david-wilkinson.jpeg">] ## **Dr David Wilkinson** Co-organised with [Environmental Statistics Section](https://www.statsoc.org.au/Environmental-Statistics). Thanks to - **Damjan Vukcevic** (Main Event Coordinator), - **Ben Harrap** (Deputy Event Coordinator) and - **David Warton** (Chair of Environmental Statistics Section). ??? **David Wilkinson** is a post-doctoral research fellow in the School of BioSciences at The University of Melbourne. While currently working as the lead data scientist of the repliCATS project for assessing the credibility of published research in the social and behavioural sciences, his background and primary interest is in quantitative ecology applying his skills towards species conservation. <br> **Abstract** At opposite ends of the spectrum, the field of ecology attracts both die-hard field ecologists who prefer to spend most of their time out in the wild collecting data, and hardcore statisticians looking to apply their skills to complex, real life systems. Quantitative ecology is where the two overlap, but communication isn't always easy. In this talk I'll be using aspects of my own work to illuminate some of the statistical quandaries faced by ecologists when they're working with either applied or theoretical statistics. <br> The 2019-20 bushfires in Australia were catastrophic. While ecologists have been working hard to coordinate our response to the disaster, it isn't all clear sailing. Conservation objectives, abundance or sparsity of data, data types, and working with government departments are all factors that contribute to the statistical decisions we make. How does data availability impact our choice of modelling method? How does the choice of modelling method impact the interpretation of our results? Once it's all done, how does the government make use of it? <br> In parallel, the world of model development has its own quandaries to face. Joint species distribution models are a relatively new approach that simultaneously models the distributions of multiple species while accounting for residual co-occurrence patterns. How do we ensure new methods aren't just a black box to those without a statistical background? How does a field ecologist try and identify the similarities and dissimilarities between two proposed methods that use different statistical notation? Why do we make it harder by referring to the same concepts with different names? What can we do to make it better? --- class: inverse middle # 🎉 Post-event social Continue to stay on Zoom to chat and socialise in the break-out rooms!