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ADSN 2023 Conference
December 7, 2023 - December 8, 2023
Join us in South Australia for the 2023 ADSN Conference!
The University of Adelaide’s Data Science Centre is the host organisation for the 2023 ADSN Conference. There will be a diverse range of talks in Data Science, several interesting panel discussions, and the chance to meet others across the ADSN as we explore new and better ways to work together.
The event will take place:
- Thursday & Friday, 7-8 December
- National Wine Centre of Australia at The University of Adelaide
The conference will feature these keynote speakers:
Conference Schedule (all times in Adelaide time)
Day 1 – Thursday, 7 December
8:45 am Coffee/sign-in
Session 1: Chaired by Prof Lewis Mitchell (Adelaide)
9:15 am: Welcome to Country
9:30 am: Introduction to ADSN and ADSC by Prof Lewis Mitchell, ADSC Director
9:45 am: 1st Keynote (45 min) - Prof Sally Cripps (UTS): Impactful Data Science: From Isolated Competencies to Systems Thinking
10:30 am Break (30 min)
Session 2: Chaired by Dr Melissa Humphries (Adelaide)
11:00 am: Invited talk (30 min) - Dr Duncan Taylor (Forensics SA): Statistics you never knew were being used to fight crime
11:30 am: Poster spotlights (2 x 5 min):
- Saranzaya Magsarjav (Adelaide): Stability in Topic Models
- John Lyons (QUT): Using a Statistical Framework to Detect Ecological Regime Shifts in Antarctica
11:45 am: Contributed presentations (2 talks at 15 min each):
- Matthew Altenburg (ANU & Attorney-General's Department): Harnessing NLP in Government: From Practical Use Cases to Technical Mastery
- Dr Gnana Bharathy (ARDC): Proposing an ARDC-ADSN collaboration around the ARDC’s People RDC Platform
12:15 pm Lunch Break (1 hour)
Session 3: Chaired by A/Prof Nicola Armstrong (Curtin)
1:15 pm: Translational Research / Impact Panel – Moderated by A/Prof Nicola Armstrong (Curtin), with panellists:
- Prof Sally Cripps (UTS)
- Dr Duncan Taylor (Forensics SA)
- Prof Mark Lawrence (University of Adelaide)
- Dr Jimmy Breen (Telethon Kids Institute)
2:00 pm: Keynote (45 min) - A/Prof Fatemeh Vafaee (UNSW): Big Data and Artificial Intelligence: Driving Personalised Medicine of the Future
2:45pm Break (30 min)
Session 4:
3:15 pm: Invited talk (30 min) - Prof Kerry Taylor (ANU): Mining Knowledge Graphs for explainable learning
3:45 pm: ADSN Breakout Sessions – major theme discussion groups (45 minutes)
4:30 pm: Report from ADSN Breakout session
4:45 pm: Posters & Networking
Evening Session (optional)
5:30 pm: ARDC + ADSN session: Investigating national infrastructure to support data science in healthcare. Collaboration with the Australian Research Data Commons (ARDC) (ARDC to provide food/drinks)
Day 2 – Friday, 8 December
8:45 am Coffee/sign-in
Session 5: Chaired by Prof Dino Sejdinovic (Adelaide)
9:00 am: Keynote (45 min): Prof Xiao-Li Meng (Harvard) - Seeking simplicity in statistics, complexity in wine, and everything else in fortune cookies
9:45 am: Poster spotlights (2 x 5 min):
- Isobel Abell (Melbourne): Cost-effective boosting allocations in the post-Omicron era of COVID-19 management
- Sui Lun Chau (CISPA - Helmholtz Center for Information Security): Explaining Gaussian Process Models with Stochastic Shapley Values
10:00 am: Invited talk (30 min) – Dr Sevvandi Kandanaarachchi (CSIRO) - Explainable insights on algorithm performance
10:30 am: Break (30 min)
Session 6:
11:00 am: Invited talk – Dr Jason Signolet (Fivecast)
11:30 am: Panel Discussion on Ethics in Data Science and Generative AI, with:
- Levi-Craig Murray (Indigenous Data Network, University of Melbourne)
- Prof Kevin Desouza (QUT Centre for Data Science)
- Dr Sarah James (Fivecast)
- Lana Tikhomirov (Adelaide)
12:15 pm: Contributed talk (15 min) - Bryce Polley (Adelaide/QUT) & Mardi Longbottom (Australian Wine Research Institute) – Data Science for sustainable wine growing
12:30 pm Lunch Break (45min)
Session 7:
1:15 pm: Invited talk: A/Prof Simon Angus (Monash) – The Monash IP Observatory: measuring the internet at global scale, 3 billion times a day
1:45 pm: Contributed presentations (2 talks at 15 min each):
- Prof Inge Koch (RMIT): Assessment of classification approaches for proteomics mass spectrometry imaging data of endometrial cancer patients
- Prof Martin White (Adelaide): A diffusion model enhanced MCMC sampler
2:15 pm: ADSN Breakout Session – what’s ahead for 2024 in the ADSN
3:00 pm: Closing remarks
3:15 pm: Posters & Networking continue through the afternoon
