BNMA2025 Conference Program
October 2nd – 3rd, 2025
Venue: Room G26, Biosciences 1 Building, University of Melbourne, Parkville campus
(Campus Map – Google Maps)
Please note all times are Australian Eastern Standard Time (AEST)
Check here for your local conference start time
Day 1 – October 2nd
| 9:00 | Registration | |
| 9:20 | Opening address and Acknowledgment of Country | Yue Wu |
| 9:30 | Keynote | |
| 9:30 | Keynote introduction | Anca Hanea |
| 9:35 | Achieving reproducibility and transparency for Bayesian Networks | Hannah Fraser |
| 10:30 | Morning Tea | |
| 10:55 | Session 1: Integrated decision making | |
| 10:55 | Session opening | Chair: Martine Barons; co-Chair: Shannon Bengtson (online) |
| 11:00 | Towards a transparent and reproducible Bayesian network model of volcanic unrest at Taupō volcano | Annemarie Christophersen, Anca Hanea, Rebecca Fitzgerald, Graham Leonard, Katie Jacobs, Colin Wilson, Simon Barker, Finnigan Illsley-Kemo, El Mestel, Salvatore Ferrara, Yannik Behr, Steve Sherburn, Oliver Lamb, Ery Hughes, Michael Rosenberg, Brad Scott, Craig Miller, Nico Fournier, Sigrún Hreinsdóttir, Ian Hamling, Agnes Mazot, Shane Rooyakkers, Geoff Kilgour, Emmy Scott, Sally Potter, Jonathan Hanson |
| 11:20 | Learning from the past to manage the future: An optimized approach to managing fire risk under climate change using Bayesian Network Modelling | Amy Smith, Erica Marshall, Trent Penman |
| 11:40 | Identifying priorities for reducing leptospirosis in Fiji using an evidence-based Bayesian network model | Ama Wakwella, Colleen Lau, Amelia Wenger, Carissa Klein, Stacy Jupiter, Aaron Jenkins, Owen Woodberry, Helen Mayfield |
| 12:00 | Causal Models in Clinical Trial Design | Yue Wu, Steven Mascaro, Owen Woodberry, Iona Novak, Tom Snelling |
| 12:20 | Lunch | |
| 13:35 | Session 2: Transparency & explanability | |
| 13:35 | Session opening | Chair: Steven Mascaro; co-Chair: Annalie Dorph (online) |
| 13:40 | Structural Refinement of Elicited Bayesian Networks for Efficient Model Parameterisation | Kieran Drury, Martine Barons, Jim Q. Smith |
| 14:00 | Demonstrating visual and verbal BN extensions that explain the impact of findings | Erik Nyberg, Steven Mascaro, Duc-Minh Vo, Shravani Rajguru, Yang Shen, Hao Peng |
| 14:20 | Informative Interventions in Causal Discovery | Jaime Blackwell, Kevin B. Korb, Steven Mascaro, Yang Li, Erik P. Nyberg |
| 14:40 | Afternoon Tea | |
| 15:05 | Session 3: Applications around the globe | |
| 15:05 | Session opening | Chair: Helen Mayfield (online); co-Chair: Annemarie Christophersen |
| 15:10 | A Bayesian network for modelling the Lady tasting tea experiment | Gang (John) Xie |
| 15:30 | News-Driven Text Mining and Recursive Bayesian Networks for Daily Forecasting of Maritime Disruptions and Food Supply Volatility: The Red Sea Crisis | Mohammed Ismail Alhussam, Jiequn Guo, Jifan Ren, Omar Abu Risha, Mohamad Ali Alhussam, M.Naser Alhusam |
| 15:50 | Bayesian network based security risk assessment for drone attacks | Surendar Varadharajan, Shailendra Bajpai |
| 16:10 | Knights, Knaves, and Netica: Visualizing Logic Puzzles with Bayesian Belief Networks. | Pascal Bercker |
| 16:30 | Announcements from the BNMA Board | Yue Wu |
| 16:40 | Day 1 close | |
| 18:30 | Dinner - Address: Naughtons Hotel (43 Royal Parade, Parkville) |
Day 2 – October 3rd
| 9:00 | Day 2 Start | |
| 9:00 | Keynote | |
| 9:00 | Keynote introduction | Anca Hanea |
| 9:05 | Reporting Standards for Bayesian Network Modelling | Martine J. Barons |
| 10:00 | Morning Tea | |
| 10:25 | Session 4: One health | |
| 10:25 | Session opening | Chair: Yue Wu; co-Chair: Helen Mayfield (online) |
| 10:30 | Using directed acyclic graphs within a scoping review to map design and applicability characteristics of clinical prediction models for serious bacterial infections in children with fever | Ariel Mace, Yue Wu, Andrew Martin, Peter Richmond, Tom Snelling |
| 10:50 | Modelling environmental antimicrobial resistance risk through a Bayesian network framework | Nicholas Ashbolt, Claire Hayward, Owen Woodberry, Steven Mascaro |
| 11:10 | Estimating the risks versus benefits of yellow fever vaccine: Implications for individualised pre-travel advice | Wondimeneh Shiferaw, Helen Mayfield, Sarah McGuinness, Jenny Visser, Brian Johnson, Narayan Gyawali, Deborah Mills, Colleen Lau, Luis Furuya-Kanamori |
| 11:30 | Selecting Patient-Centric Outcomes: Applying a Causal Knowledge Base for Paediatric ALRI | Daniel Oakes, Yue Wu, Richard Norman, Meredith Borland, Charlie McLeod, Tom Snelling, Christopher Blyth |
| 11:50 | Lunch & Bring your own BN! | Chair: Helen Mayfield and Bruce Marcot (online) |
| 13:20 | Session 5: Expanding horizon | |
| 13:20 | Session opening | Chair: Owen Woodberry; co-Chair: Annemarie Christophersen (online) |
| 13:25 | Prior Sensitivity in Multilevel Bayesian Networks with a Single Random Effect using efficient Bayesian inference; small sample scenario | Bezalem Eshetu Yirdaw, Legesse Kassa Debusho, Janet Van Niekerk, Havard Rue |
| 13:45 | On Ripple Search Methods: Rapid Methods for Cycle Detection in Directed Graphs | Daniel Herr, Brett Norval |
| 14:05 | Using Large Language Models to Explain Evidence Impacts in Bayesian Networks and Benchmarking Causal Model Explanations | Duc-Minh Vo, Steven Mascaro |
| 14:25 | Transporting a Bayesian Network for Detecting Bacterial Pneumonia | Steven Mascaro, Parveen Fathima, Christopher Blyth, Thomas Snelling, Yue Wu |
| 14:45 | Afternoon Tea | |
| 15:10 | Session 6: Built environment | |
| 15:10 | Session opening | Chair: Annemarie Christophersen; co-Chair: Daniel Oakes (online) |
| 15:15 | When data is not enough: Augmenting urban planning expertise with Machine Learning for urban growth forecasting | Bradley Rasmussen |
| 15:35 | Probabilistic risk assessment of the railway system using a fuzzy Bayesian network: an Indian case study | Aditya Pran Bordoloi, Surendar Varadharajan, Rajeev Ranjan, Ankit Kumar, Shailendra Bajpai |
| 15:55 | Utility of synthetic data for modelling coastal wetland restoration | Valerie Kwan, Valerie Hagger, Catherine Lovelock |
| 16:15 | Conference close | Yue Wu |