The epiDAMIK @ SIGKDD 2024 workshop is a forum to discuss new insights into how data mining can play a bigger role in epidemiology and public health research. We aim to raise the profile of this emerging research area of data-driven and computational epidemiology and create a venue for presenting state-of-the-art and in-progress results, including lessons learned in the trenches. Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work. Additionally, we aim to attract researchers and practitioners from the areas of mathematical epidemiology and public health who are increasingly dealing with more complex models and novel data sources. To reflect the broad scope of work, we encourage submissions that span the spectrum from theoretical analysis, algorithms, and implementation to applications and empirical studies from both data mining and public health viewpoints.
Website: https://epidamik.github.io