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 Abstracts submission guidelines

We invite abstract submissions for Long Oral, Rapid Fire and Poster presentations at the Artificial Intelligence & Public Health Conference 2026. 

The 2026 Conference theme is: 'Artificial Intelligence: A boon or disaster for public health – Maximising Benefits, Minimising Harms’.   All abstracts are to be submitted electronically using the Online Abstract Submission Portal.

 

Abstract submissions close on 19th June 2026 at 11.59pm AEDT​
 

​Abstract Submission​​ Requirements

​​Presentations require the submission of an abstract and will be peer reviewed. We welcome submission of abstracts for presentations relevant to one or more of the Conference sub-themes (outlined below).

  • A maximum of two (2) abstracts may be submitted per presenting author. The platform automatically limits the number of submissions per contact to two (2).

  • All abstracts must be in original work and submitted in English and have a 300-word maximum.

  • Abstracts submitted for presentation, if accepted, will be published exactly as received and should be checked for spelling and grammar prior to submission.

  • It is the submitting author’s responsibility to ensure that the abstract uploaded to the server is the correct version.

  • If the person submitting the abstract isn't the presenter or if there is more than one presenter, all correspondence will be sent to the person who submitted the abstract.

All presenters must register at the time of receiving their abstract acceptance and pay the Conference registration fee.

Presentations on Aboriginal and Torres Strait Islander peoples’ health are particularly welcome.

  • We encourage abstract submissions on Aboriginal and Torres Strait Islander peoples’ health. For these abstracts, first priority will be given to abstracts presented by an Aboriginal and/or Torres Strait Islander person, followed by abstracts co-presented with an Aboriginal and/or Torres Strait Islander person. Lower priority will be given to abstracts with no Aboriginal and/or Torres Strait Islander authors. 

  • For these abstract submissions, up to an additional 300 words will be permitted to outline the Aboriginal Governance structures used to ensure that Indigenous data sovereignty principles were adhered to in the research or program development and that the processes were culturally appropriate.

We encourage submitters to think about the story they are trying to relay, and how they will make the presentation dynamic to keep the audience engaged.

Abstracts should be submitted as a response to the following questions (maximum of 300 words):​

  • What is the problem/issue that requires action? [Under the heading: Background and Aim]

  • What do we know or have we learned to address this problem/issue, and how has this finding been derived? [Under the heading: Methods and Analysis]

  • How has this been used in practice? [Under the heading: Outcomes]

  • What actions should we take in the future to address the problem/issue? [Under the heading: Conclusion and Future actions]

 

​​​​​Conference Objectives

The conference aims to:

  1. Identify the benefits of AI for public health practice, research, and policy

  2. Interrogate and articulate the harms and unintended consequences of AI deployment

  3. Develop shared direction for how public health should incorporate AI, monitor its impacts, and safeguard communities

  4. Strengthen collaboration across sectors to build capability, governance, and public trust

The program will prioritise cross‑disciplinary exchange, practical case studies, and forward‑looking policy discussions. A significant element of the conference will feature interactive workshop style discussions.

The program will incorporate an ‘Introduction to AI’ half-day workshop to educate public health staff about the basics of generative AI prior to the conference to ensure high quality conversations in the conference proper.

 

Target Audience

​​ Anyone who works in public health has the potential to benefit from this conference. It should be of specific interest to:

  • Public health workers, program managers and policy makers wishing to better understand the opportunities and risks of AI

  • Researchers who develop or use AI methods in public health applications

  • People seeking to better understand potential risks or harms of the use of AI in public health

 

Conference Sub-themes​

​The program will provide lively and productive discussions and contributions from Australian professionals engaged in Artificial Intelligence and Public Health.

We welcome submission of abstracts for presentations relevant to one or more of the Conference sub-themes, but we are happy to accept a relevant abstract outside of these themes: ​

Abstract submission topics, including but not limited to:

  • Enabling infrastructure for AI (sharing data, federated learning, etc.)

  • Educating our workforce for AI

  • Case studies on AI use in public health

  • Equity and Ethics (privacy, accessibility, information bias, confidentiality and security)

  • Adverse public health impacts of AI

  • Projects and programs harnessing AI for public health benefits

​​​​​​​​​Presentation Types

Rapid-Fire Presentation (Face-to-face and Pre-recorded)​:

Presenters have a total of 6 minutes presentation time using up to 6 PowerPoint slides. The title slide, conflict of interest, and reference slide are not included in your 6-slide limit. There may be time at the conclusion of the session for audience questions.

Conversation Starter Presentation Presenters (Face-to-face and Pre-recorded)​:

Presenters have a total of 3 minutes presentation time using up to 4 PowerPoint slides (including any title and reference slides). If time allows, Q&A will occur at the conclusion of all presentations. 

Abstract review, selection and notification
  • All abstracts are submitted for peer-review. 

  • Every effort is made to accept abstracts for the presentation type submitted. However, due to limited space a different abstract type may be offered than what was submitted.

  • The contact person for each abstract will be notified of the outcome of their abstract submission via email in the second half of August 2026.

  • Please note, concurrent sessions will only be available to delegates at the venue.

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