In the same way that the Internet has combined with web content and search engines to revolutionize every aspect of our lives, the scientific process is poised to undergo a radical transformation based on the ability to access, analyze, and merge large, complex data sets. Scientists will be able to combine their own data with that of other scientists to validate models, interpret experiments, re-use and re-analyze data, and make use of sophisticated mathematical analyses and simulations to drive the discovery of relationships across data sets. This “scientific web” will yield higher quality science, more insights per experiment, an increased democratization of science, and a higher impact from major investments in scientific instruments.

 

Professor Yelick will describe some examples of how science disciplines from biology to astrophysics are changing in the face of their own data explosion, and how mathematical analyses, programming models, and workflow tools can enable different types of scientific exploration.

 

She will present a vision of an Extreme Data Scientific Facility, which will bring together data from many research projects, institutions, and subdomains of science to enable the transformation of the scientific process.