ON THIS PAGE:
The Digital and Data Capabilities for Sexual and Reproductive health Project is a 4-year programme of research led by Professor Kath Albury. It was funded by an Australian Research Council Future Fellowship.
This site based on two iterative stages of qualitative research.
You can read more about these stages in our research reports:
You can read more about how the website was developed and the pilot workshops with sexual and reproductive health practitioners in our Final Report:
The Digital and Data Capabilities models build on Data Capabilities research partnerships funded and partially funded by Swinburne’s Social Innovation Research Institute; the Lord Mayor’s Charitable Foundation and the ARC Centre of Excellence for Automated Decision-Making +Society.
💻 For more research and evidence supporting the DDCSRH
Academic Papers
Project Reports
Webinars
Podcasts
Digital and data capabilities for sexual and reproductive health YouTube Page
Professor Kath Albury is an Australian Research Council (ARC) Future Fellow, and an Associate Investigator in the Swinburne University of Technology Node of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S).
She co-leads the ADM+S Signature Project ‘Critical Capabilities for Inclusive AI’ with Professor Anthony McCosker (Swinburne University of Technology) and Professor Julian Thomas (RMIT).
Kath also co-leads the Swinburne Social Innovation Research Institute’s Platform Society, Digital Economy program, and is a Chief Investigator on the Swedish/Australian collaboration ‘Digital sexual health: Designing for safety, pleasure and wellbeing in LGBTQ+ communities‘ (2022-2025), with Professor Jenny Sundén (Södertörn University) and Dr Zahra Stardust (QUT).
Kath has led research collaborations with non-government, government and industry partners including: ACON Health, the Allanah & Madeline Foundation, the National Rugby League, and the National Association of People Living with HIV, Australia. She was a member of NSW Health’s HIV/STI Health Promotion Subcommittee from 2004-2014.
Dr Samantha Mannix is a Postdoctoral Research Fellow and an Affiliate of the Swinburne Node of the ARC Centre of Excellence for Automated Decision-Making & Society (ADM+S). Samantha has a public health background, with professional experience in the fields of sexual health and the prevention of gender-based violence. Her doctoral research (University of Melbourne, 2022) explored the ways school-aged young people come to understand and experience their intimate and dating relationships through schooling and digital practices.
Caitlin Learmonth is a PhD candidate at Swinburne University of Technology. Her research examines how the everyday digital and data practices of the Australian healthcare ecosystem do or do not account for the sexual health needs of consumers who are not part of ‘priority populations’.
Her thesis investigates the ways data informs sexual health policy and practice and the digital platforms facilitating service delivery; and reflects on the limitations of binary data collection, population-based sampling, and siloed digital systems. Consensual non-monogamy is used as a case study to consider the ways that sexual cultures shape consumers’ needs and expectations of sexual health service provision, guidelines and health promotion materials.
This work builds on the Data Capability Framework developed by McCosker et al, 2022. It has been developed by the project team with special assistance from Transgender Victoria, plus input and guidance from more than 50 generous research participants, and our expert reference group.
Expert Reference Group
Peer Researchers
Transgender Group Facilitators
Research Assistance
Website, videos and graphics were designed and created by Sydelle Saldanha.
The majority of written content (including the Capabilities Models, research vignettes and video scripts) was created by Kath Albury and Samantha Mannix. Additional ‘vignette’ content was created by Caitlin Learmonth, Xavier Mills and Joanna Williams, drawing on their original doctoral research.
© Albury and Mannix, 2024.
This work is protected by a Creative Commons BY-NC-SA licence. This means you may re-use and adapt the text for your circumstances – provided you provide full attribution to the authors and do not claim exclusive ownership or commercialise the content.
Original artwork by Jacq Moon must not be reproduced without permission: https://www.jacqmoon.com
This project is funded by the Australian Research Council (ARC) Future Fellowship, FT210100085; and partially funded by the ARC Centre of Excellence for Automated Decision Making and Society (ADM+S), CE200100005.