KDD 2026

Deadlines
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KDD 2026

epiDAMIK 2026: Workshop on Data-driven Decision Making for Public and Population Health

Aug 08 2026Jeju, KoreaOfficial workshop site Site reachable

The epiDAMIK 2026 workshop, held in conjunction with KDD, brings together researchers at the intersection of AI, data mining, and population health to advance data-driven decision-making for public health. It focuses on next-generation AI systems for modeling complex health systems, addressing challenges such as infectious and chronic diseases, environmental risks, health disparities, and the integration of AI with scientific modeling.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

May 21, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

May 21, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full regular research papers

6-8 pages

Short, work-in-progress, demo or position papers

2-4 pages

Short summary versions of recently published major papers

2-4 pages

Research areas in scope

01

Topics of Interest

Generative and foundation models for public and population healthAgent-based and agentic AI for health system modeling and decision-makingReinforcement learning and sequential decision-making for health policy and intervention designCausal inference and counterfactual reasoning in population healthHybrid modeling integrating machine learning with mechanistic and epidemiological modelsGraph mining, network science, and relational learning for health systemsLarge language models (LLMs) for public health intelligence and information retrievalScalable algorithms and systems for public health simulation and digital twinsInterpretable, trustworthy, and expert-informed AI for health decision supportMultimodal data integration for public and population healthData quality challengesFairness, equity, and ethical AI in healthSurveillance and early warning systemsForecasting and predictive modelingValidation, benchmarking, and evaluation of health AI systemsDecision intelligence for public health policy and planningHealth behavior modeling and social determinants of healthCrowdsourcing and participatory sensing for health monitoringMisinformation, infodemics, and their impact on health outcomesApplications in infectious diseases, chronic conditions, and environmental health risksReal-world deployment, case studies, and lessons learned

Policies worth checking twice

  • All papers will be peer reviewed and single-blinded
  • Papers must contain author names and affiliations
  • There are no restrictions on already submitted work or posting manuscripts to pre-print servers
  • Accepted papers will not be considered archival and may be resubmitted to pre-print servers and future conferences or journals
  • Papers should be formatted according to the standard double-column ACM Proceedings Style

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026