The world's largest map from the Sloan Digital Sky Survey
Visualize the brain's connected neurons through the Open Connectome Project
Visualize entire genomes with the Center for Computational Biology
Kilometer-scale automated ecological monitoring with Life Under Your Feet
Access a supercomputer numerical simulation via the Johns Hopkins Turbulence Databases
The Science of Big Data
The Institute for Data Intensive Engineering and Science will foster education and research in applying data-intensive technologies to problems of national interest in physical and biological sciences and engineering.
IDIES will provide faculty, researchers and students with the structure and resources needed to accomplish these goals.
IDIES Director, Prof. Alexander Szalay was nominated by Prof. Adam Riess, Bloomberg Distinguished Professor, Thomas J. Barber Professor of Physics and Astronomy, and Nobel Prize Winner, “for his pioneering work on demonstrating that…
Scattering of seismic waves can reveal subsurface structures but usually in a piecemeal way focused on specific target areas. We used a manifold learning algorithm called “the Sequencer” to simultaneously…