IASC-ARS 2023
The 12th conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS)
Statistical Computing and Methods for Complex Data
6–8 December, 2023
Macquarie University, NSW, Australia
The organising committee warmly invites you to the 12th conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS) which will take place in Macquarie University, Sydney, Australia from the 6th to the 8th of December 2023. Please save the date!
Information on Keynote Speakers and the Conference program will be available at a later date so please watch this space!
The conference will be held at the Wallumattagal Campus of Macquarie University and is only about 40 mins from Sydney CBD via public transport.
We look forward to seeing you at Macquarie in December 2023!
Updates 🚨
Important Dates 🗓️
15 April | Call for invited session proposal |
Deadline for submission on invited session proposal | |
20 July 🚨 | Call for Contributed talks/poster |
15 July | Notification of acceptance of invited session proposal for proposal submitted by 30 June |
Open for registration | |
7 August | Notification of acceptance of invited session proposal for proposal submitted by 31 July |
Deadline for abstract submissions | |
30 September | Notification of acceptance of contributed talks/posters for submission before 31 August |
Deadline for early bird registration | |
5 December | Workshop |
6–8 December | Conference |
IASC-ARS 2023 Outstanding Young Researcher/Student Award Winners!
To encourage the involvement of young researchers & students, the Organising Committee of the IASC-ARS 2023 will offer awards for young researchers or students that gave an outstanding contributed (oral or poster) presentation.
A ‘Student or Young Career Researcher’ is anyone who is currently studying or has graduated in the last 5 years and works with statistics, data science, and related fields. There are no age restrictions.
Oral Presentation Awards
Winners!
-
Dongming Huang
(National University of Singapore) & Feicheng Wang (Harvard University), Samuel Kou (Harvard University) & Donald Rubin (Harvard University)
- Catalytic Priors: Using Synthetic Data to Specify Prior Distributions in Bayesian Analysis
-
Janith Wanniarachchi
(Monash University), Di Cook (Monash University) Patricia Menendez (Monash University), Kate Saunders (Monash University) & Thiyanga Talagala (University of Sri Jayewardenepura, Sri Lanka)
- Seeing the Smoke Before the Fire: Visualising Spatiotemporal Indicators of Bushfires through Counterfactual Explanations of Machine Learning Models
Honourable Mention
-
Kristen Hunter
(UNSW, Sydney), Luke Miratrix (Harvard Graduate School of Education) & Kristin Porter (K.E. Porter Consulting LLC & UNSW Sydney)
- PUMP: Estimating power when adjusting for multiple outcomes in multi-level experiments
IASC-ARS Interim Conference 2024
Acknowledgement of Country
The Organising Committee IASC-ARS 2023 acknowledge the Traditional Custodians of country throughout Australia and recognises their continuing connection to land, waters and community. We pay our respects to them and their cultures; and to elders both past and present.