We invite submissions for the workshop “Artificial Intelligence and Advanced Computational Methods for Digital Public Health (AI4DPH)”.
The AI4DPH 2027 workshop invites original research at the intersection of artificial intelligence, bioinformatics, biomedical computing, complex network analysis and digital public health. We welcome computational methods and evidence-based applications that connect biological and biomedical data with disease understanding, prevention, surveillance and population health. The workshop aims to bring together algorithm developers and public health researchers to discuss methodological advances, reproducibility, interpretability and translational impact.
Click here for full information on the workshop.
!! Deadlines !!
| Workshop Call for Papers (CFP) – Submission deadline | 23 December 2026 |
| Workshop Call for Papers (CFP) – Notification deadline | 28 January 2027 |
| Camera-ready deadline | 7 April 2027 |
Themes of interest
- Artificial intelligence, machine learning, deep learning and explainable AI for health
- Bioinformatics, computational biology and multi-omics data integration
- Biomedical knowledge graphs, graph neural networks and network medicine
- Biological, microbial, disease and brain network analysis
- Network alignment, comparison, community detection and multilayer networks
- Scalable, distributed, privacy-preserving and reproducible biomedical computing
- Computational disease modelling, risk prediction and precision prevention
- Epidemiological surveillance, population health analytics and environmental or sensor data
- Trustworthy evaluation and translation of computational methods to digital public health
Submission guidelines
We encourage interested author(s) to submit either a full paper or an extended abstract. The author(s) of an accepted paper/ abstract, which is presented in-person at DPH 2027 in London, will be included in the conference proceedings – extended abstracts will be included in Frontiers proceedings, and full papers will be submitted for possible inclusion into IEEE Xplore.
For submitting a Full Paper, please follow the instructions:
- All submissions must be original and not simultaneously submitted to another journal or conference.
- The papers must range between 4‑8 pages, including references and any appendices.
- Papers should conform to the IEEE double column format: https://www.ieee.org/conferences/publishing/templates.html
- Papers must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – Artificial Intelligence and Advanced Computational Methods for Digital Public Health (AI4DPH)” track.
- Please paste your Abstract in the Abstract field in the Easychair system for ease of processing and review allocation.
NOTE that:
- Full Paper submissions will be reviewed by three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
- All accepted papers will have their own DOI.
- Accepted papers will need to incorporate reviewers’ comments and re-submit their paper by the Camera-ready deadline. Instructions will be provided.
- Papers accepted for publication must have at least one author registered and must be presented in person at the conference in order to be considered for publication by IEEE Xplore. Papers from no-show authors will be removed from the proceedings.
- An accepted paper may be selected for either oral or poster presentation depending on review score and topic specificity.
For submitting an Extended Abstract, please follow the instructions:
- Please format your submission using Times New Roman, 12 pt font size, with justified alignment. The submission must not exceed 1000 words, excluding the reference list. References are compulsory and should be included in the submission. A maximum of two figures or tables may be included.
- Extended Abstracts could follow the standard structure: Introduction, Background, Methods / Datasets, Results, and Conclusion. Alternatively, computer science and engineering abstracts can follow alternative structure such as Introduction, Background, Framework / Architecture, Implementation, Results (if available), Novelty and Challenges and Conclusion.
- Submissions must be anonymised: the names and affiliations removed, and any references to previous works either substituted with “anonymised” or rephrased.
- All submissions must be submitted in PDF format using the Easychair submission system. Click on the submission button below and choose the “DPH2027 Workshop – Artificial Intelligence and Advanced Computational Methods for Digital Public Health (AI4DPH)” track.
- Paste your first section (Aims/Abstract/Overview) to the Abstract field in the Easychair system for ease of processing and review allocation.
NOTE that:
- Abstract submissions will be reviewed by two-three reviewers from the PC and SPC committees and assessed in terms of their quality, relevance to the conference, originality, significance, correctness, and clarity.
- Accepted Extended Abstracts will have to incorporate reviewers’ comments and re-submit their abstract by the Camera-ready deadline. Instructions will be provided.
- An accepted abstract may be selected for either oral or poster presentation depending on review score and topic specificity.
Programme Committee
Programme Committee members will be listed after invitations and confirmations.
Contact
All questions about submissions should be emailed to:
- Prof Mario Cannataro – cannataro@unicz.it
- Prof Marianna Milano – m.milano@unicz.it
SUBMISSION
Submission is via EasyChair.