Please join us for the NSW SSA branch annual event on Wednesday 22nd November at the Cullen Room, The University of Sydney from 2pm. The afternoon will start with presentations from PhD students from around NSW for the J. B. Douglas Awards. We are then proud to present our Annual Lecture by Professor Sally Cripps at 6pm, followed by the Annual dinner from 7pm.
We hope to see everyone there in person. For those wishing to attend virtually please register on this Zoom link.
Program overview
2.00pm – 5.45pm – J. B. Douglas Award presentations (with refreshment break)
5.45pm – 6.10pm – Refreshments and Award presentation
6.10pm – 7.00pm – Annual lecture by Professor Sally Cripps
7.00pm – Annual dinner, register by Thursday Nov 9th
A draft program can be found here.
The location
The Cullen Room is located at the Holmes Building, towards the northern side of the University of Sydney's Camperdown campus.
J. B. Douglas nominees
- Annabel Webb, School of Mathematical and Physical Sciences, Macquarie University
- Paco Tseng, Business School, Business Analytics Discipline, The University of Sydney
- Virginia He, School of Mathematical and Physical Sciences, University of Technology Sydney
- Anant Mathur, School of Mathematics and Statistics, UNSW Sydney
- Matthew Sainsbury-Dale, National Institute for Applied Statistics Research Australia, University of Wollongong
- Jack Freestone, School of Mathematics and Statistics, The University of Sydney
- Ngoc Chi Nguyen, The ARC Training Centre in Data Analytics for Resources and Environments, The University of Sydney
- Md Morshadur Rahman, School of Public Health, University of Technology Sydney
- Isha Kharub, School of Business, Western Sydney University
- Kieran Luken, School of Computer, Data and Mathematical Sciences, Western Sydney University
Annual lecture
Speaker: Professor Sally Cripps
Title: The art and science of causal inference and implications for policy-making
Abstract:
Understanding and identifying which factors impact outcomes is at the core of scientific discovery and policy-making. Graphical models and the Bayesian paradigm are useful frameworks to describe and analyse these cause-and-effect relationships however, they are not without challenges and limitations. This talk demonstrates the potential and pitfalls of such methods with reference to applications across all sciences and the implications for government policy-making.
Our Sponsors
Thank you to our sponsors that make this event this possible. If your organisation can sponsor a small amount, we would appreciate this. All sponsor logos will be displayed in the J.B. Douglas programme.
Gold Sponsors
Statistical Society of Australia, Central Council
Australian Bureau of Statistics
UNSW Sydney, uDASH
Sponsors
School of Mathematical and Physical Sciences, Macquarie University
School of Mathematics and Statistics, UNSW Sydney
Business Analytics Discipline, Business School, The University of Sydney
National Institute for Applied Statistics Research Australia, University of Wollongong
The ARC Training Centre in Data Analytics for Resources and Environments, The University of Sydney
School of Computer, Data and Mathematical Sciences, Western Sydney University
School of Mathematics and Statistics, The University of Sydney
School of Public Health, University of Technology Sydney
Please note that all our events are governed by the Code of Conduct. This means that we absolutely do not tolerate unacceptable behaviour, including any form of harassment. This applies to both members and non-members. If you have any concerns, please contact Gordana Popovic.
Any questions, please feel free to contact the NSW Branch Secretary.
@StatSocAus
