Each of the sciences has a wealth of data. Yet, most scientists have very poor tools to capture, organize, analyze, visualize, and understand the data they and their colleagues have collected and cross-index it with the literature and archives.
We are researching ways that information technology can help solve scientific problems by developing new data analysis and visualization algorithms, by organizing data in new ways, by automating many of the tasks, and by building tools that streamline scientific workflows. We typically partner with a group of domain scientists and work closely with them to build a system that demonstrates a substantial advance in their productivity.
As an example, we are developing new computational biology tools for HIV and malaria vaccine design. In addition, we have worked with the USGS to build the TerraServer that unified a large body of USGS image data as an online database and has provided a platform for many subsequent science and service projects. A close collaboration with the Sloan Digital Sky Survey and others has made many astronomy catalogs available online, provided services to analyze the data, and has federated many of these catalogs. We are also working with CUASHI to make hydrologic data accessible via Web services. We have ongoing collaborations in areas including Biology, Astronomy, Carbon-Climate Eco-Science, Geography, Hydrology, and Oceanography.