Like clay to the sculptor and soil and seed to the farmer, data is the raw material that makes it possible for the Centers for Disease Control and Prevention () to carry out its essential work. It’s through collecting data, organizing it, and distilling it into discoveries, insights, messaging, and guidance that CDC accomplishes the bulk of its mandate—protecting public health.
As rapid advances in data science and machine learning make it possible to analyze greater amounts of data, at higher speeds, and in increasingly complex ways, ÎÞÓÇ´«Ã½ is helping CDC efficiently make use of these emerging technologies to do its work better and faster.Â
Our support for the agency includes building and maintaining the Enterprise Data Analytics and Visualization platform (EDAV), a cloud-based suite of powerful resources for storing, preparing, transforming, analyzing, sharing, and visualizing public health data. Because new tools are only effective as far as they’re adopted, we also created the Data Academy, an online, multi-tracked, public health-tailored data science learning resource that’s helping CDC’s entire workforce understand how to make the most of EDAV’s enhanced capabilities.Â