The Early Career and Student Statisticians Network is excited to be hosting a series of workshops in the lead up to ECSSC2021.

Science Communication Series

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

Workshop 1: Science Communication

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

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.

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. 

Pre-Conference Workshops

We have prepared a series of pre-conference workshops with a variety of innovative statistical technic presented to you. Please find the information below.


Optimisation plays an important role in fitting many statistical models. In this workshop, Dr Anqi Fu will introduce 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.

Date: 24th Jul 2021

Time: 10 am – 3 pm (AEST)

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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. Covered by Assistant Professor Chul Moon, this lecture aims to familiarize these new methods along with their applications to various types of data.

Date: 25th Jul 2021

Time: 11 am – 3 pm (AEST)

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