DR KUM

The Population Informatics Lab applies informatics, data science, and computational methods to the increasingly large digital traces of people available to advance public health, social science, and population research. We specialize in data science, KDD (Knowledge Discovery and Datamining), data integration, visualization, decision support systems, health informatics, computational social science, and privacy... Population Informatics : The systematic study of populations via secondary analysis of massive data collections (termed "big data") about people. In particular, we focus most on improving health outcomes for a population and the data science approach which is about generating actionable information from raw data. Another important aspect of population informatics is Public health informatics which is more about how to best utilize the information generated using data science to improve public health.