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.
The JHU Institute for Data Intensive Engineering and Science (IDIES) is pleased to announce the Spring, 2018 Seed Funding Program Awardees. Congratulations to Using epidemiological and simulation data to inform…
Abstract: One of the main characteristics of infinite-dimensional dissipative evolution equations, such as the Navier-Stokes equations and reaction-diffusion systems, is that their long-time dynamics is determined by finitely many parameters…
Biography: Tamás Budavári’s primary interest is in cosmology, large-scale structure, and galaxy evolution. He has been focusing on various statistical and computational challenges in astronomy as modern detector technology is…
Where: Arellano Theater, Levering Hall When: March 07, 2018