We invite contributions of posters and demos to the 12th International Digital Public Health (DPH) Conference 2027 including visual presentations of current or planned work.
!! Deadlines !!
| Submission deadline | 9 December 2026 |
| Notification deadline | 28 January 2027 |
| Camera-ready deadline | 7 April 2027 |
DPH 2027 themes
The themes include but are not restricted to:
- Digital One Health
- Disease Surveillance, Early Warning and Pandemic Preparedness
- Artificial Intelligence in Public Health
- Digital Technology for Training and Behaviour Change
- Emerging Technology and Public Health
- Digital Systems and Public Health Data Governance
- Public Health Challenges
See Call for Papers and Prizes for a full list.
Posters
We invite contributions of posters describing works in progress, preliminary results, or position papers. The poster session is an opportunity to present shorter, early results, and for researchers from different disciplines to share both unpublished and previously published work with one another and with the research community. Submitted poster abstracts are expected to be aligned with one or more of the relevant topics of the Digital Public Health Conference.
Submission instructions for posters
Please format your poster abstract using Times New Roman, 12 pt font size, with justified alignment. The total length should not exceed 1000 words, and you may include a maximum of two figures or tables. The abstracts should include Introduction, Methods/Data, Results, and Conclusion sections.
Please note that:
- Your poster abstracts should be anonymous – please remove the author names and affiliations, and any references to previous work or code repositories that may reveal the identity of the authors.
- You should upload your poster abstract in PDF format via EasyChair.
- Each abstract will be reviewed by two independent members of the PC and SPC committees.
- Abstracts must be submitted in English.
- The use of Generative AI tools is permissible but must be disclosed and the Scientific Committee reserves the right to exclude any abstract that is generated solely by AI tools.
Demos
We invite proposals for demonstrations to be exhibited during the Demo session. The Demo Track is a forum meant to foster interactions among researchers and practitioners by allowing them to demonstrate their new and innovative work. In addition, the track will enable conference attendees to learn novel ongoing research projects through informal interactions. Demo submissions must be based on an implemented and tested system. Submitted demos are expected to be aligned with one or more of the relevant topics of the Digital Public Health Conference.
Submission instructions for demos
Please format your demo proposal using Times New Roman, 12 pt font size, and Justified alignment. The total length should not exceed 1000 words, and you may include a maximum of two figures or tables. The demo proposals should describe the main functionality of the application/ platform, how it can be accessed or installed (if distribution is available), and should have at least one screenshot or photo of the demo. Further, they should have a section outlining clearly the research or practical need the application fills.
Please note that:
- your demo proposal should not be anonymised.
- you should upload your demo proposal in PDF format via EasyChair.
- each demo proposal will be reviewed by two independent members of the PC and SPC committees.
- demo proposals must be submitted in English
- the use of Generative AI tools is permissible but must be disclosed and the Scientific Committee reserves the right to exclude any proposal that is generated solely by AI tools.
Publication Opportunity
Accepted Abstracts that are presented at the conference will be included in the DPH 2027 Abstract Book, published in Frontiers in Digital Public Health.
If you do not wish your abstract to be published in the Abstract Book, please let us know by contacting support@dphconf.org.
Contact
Please send questions or concerns to: support@dphconf.org
Submission
Submission is via EasyChair.