Population health serves as an excellent real-world testbed for next-generation AI and data mining due to its unique technical challenges, including representing realistic society-scale interactions, integrating multimodal and often incomplete data, and maintaining robustness under noisy, sparse, and shifting data distributions. Meeting this demand requires advances in modeling multiscale systems, promoting scientific consistency and interpretability, enabling counterfactual reasoning in complex dynamical settings, and adapting to real-world constraints.
Building on growing interest from the SIGKDD community, this workshop aims to advance integrated, real-world–relevant approaches that bridge methodological innovation with practical impact. We invite submissions spanning theory, algorithms, systems, and applications, bridging AI/data mining and public health perspectives.
Topics of interest include, but are not limited to:
| Topic | Examples |
|---|---|
| Generative and foundation models for public and population health | Generative AI, diffusion models, foundation models for health data |
| Agent-based and agentic AI for health system modeling and decision-making | Multi-agent systems, digital populations, simulation of interventions |
| Reinforcement learning and sequential decision-making for health policy and intervention design | Adaptive interventions, resource allocation |
| Causal inference and counterfactual reasoning in population health | Treatment effect estimation, policy evaluation |
| Hybrid modeling integrating machine learning with mechanistic and epidemiological models | ODEs, agent-based models, physics-informed learning |
| Graph mining, network science, and relational learning for health systems | Contact networks, mobility graphs, transmission modeling |
| Large language models (LLMs) for public health intelligence and information retrieval | Knowledge extraction, decision support, summarization |
| Scalable algorithms and systems for public health simulation and digital twins | High-performance computing, differentiable simulators |
| Interpretable, trustworthy, and expert-informed AI for health decision support | Explainability, human-in-the-loop systems |
| Multimodal data integration for public and population health | EHR, genomics, mobility, climate, wastewater, satellite data |
| Data quality challenges | Missing, noisy, biased, and non-representative data; imputation; robustness; domain adaptation |
| Fairness, equity, and ethical AI in health | Bias mitigation, equitable policy design, resource allocation |
| Surveillance and early warning systems | Syndromic surveillance, outbreak detection, nowcasting |
| Forecasting and predictive modeling | Epidemic forecasting, demand prediction |
| Validation, benchmarking, and evaluation of health AI systems | Ground truth challenges, uncertainty quantification |
| Decision intelligence for public health policy and planning | Scenario analysis, decision support systems |
| Health behavior modeling and social determinants of health | Behavioral data, socioeconomic factors |
| Crowdsourcing and participatory sensing for health monitoring | Citizen science, mobile data collection |
| Misinformation, infodemics, and their impact on health outcomes | Social media analysis, intervention strategies |
| Applications in infectious diseases, chronic conditions, and environmental health risks | COVID-19, diabetes, air pollution |
| Real-world deployment, case studies, and lessons learned | CDC FluSight, operational systems, public health practice |
We invite the submission of full regular research papers (6-8 pages) as well as short, work-in-progress, demo or position papers (2-4 pages). Short summary versions of recently published major papers (2-4 pages) are also welcome.
We recommend papers to be formatted according to the standard double-column ACM Proceedings Style. All papers will be peer reviewed and single-blinded, thus, they should contain the name of authors and their affiliations. Authors whose papers are accepted to the workshop will have the opportunity to participate in a poster session, and some may also be chosen for oral presentation. There are no restrictions on already submitted work or authors simultaneously posting their manuscripts to any pre-print server. The accepted papers will be made available online but will not be considered archival. Therefore, authors are free to resubmit the paper to pre-print servers and future conferences and journals.
For paper submission, please proceed to the submission website.