News
- 03/20: Website and CFP is live
- 05/16: Paper submission deadline
- 06/02: Notifications sent to the authors
- 08/09 or 08/10: Workshop date
Description
The epiDAMIK workshop has been held annually at KDD since 2018 (originally under the name “Epidemiology meets Data Mining and Knowledge discovery”), consistently bringing together an interdisciplinary community at the intersection of AI, data mining, and population health.
Our goal is to advance the use and development of next-generation AI and data systems for public health (the collective effort to ensure healthy conditions through policy) and population health (which focuses on how healthcare systems and organizations improve outcomes for communities). The workshop emphasizes improving our ability to simulate, interpret, and support decision-making in complex health systems.
This year's edition highlights emerging directions including
generative models, intelligent agents, causal inference, and hybrid approaches that integrate AI with scientific modeling. These advances are critical for addressing modern health challenges spanning chronic diseases (e.g., obesity, diabetes, cardiovascular disease), environmental risks (e.g., pollution, extreme heat, wildfire smoke), substance use epidemics, mental health, and disparities in healthcare access. Infectious diseases remain a pressing concern, with ongoing threats such as tuberculosis and recent outbreaks of H1N3, Ebola, and measles underscoring the need for scalable, responsive systems.
Population health presents unique technical challenges, including modeling large-scale societal interactions, integrating multimodal and incomplete data, and operating under noisy, sparse, and shifting conditions. Recent advances in AI and data mining offer new opportunities to capture complex behaviors, enable counterfactual reasoning, and support robust decision-making under uncertainty.
By bridging disciplines and highlighting both methodological advances and real-world applications, epiDAMIK aims to catalyze progress in designing and deploying AI-driven solutions for a healthier and more resilient society.
