Leading the Translation of Big Data into Big Breakthroughs
As a federated center of the Johns Hopkins Data Science and AI Institute, the Institute for Data-Intensive Engineering and Science (IDIES) facilitates discovery through data, infrastructure, and expertise, driving research at-scale across Hopkins and beyond.
IDIES MEMBERS
MAKING HEADLINES
JHU joins Argonne Nat’l Lab to form Radio Afterglow Detection and AI-driven Response
RADAR is a first-of-its-kind computational framework that combines data from gravitational waves and radio…
Read the entire article on the JHU Physics and Astronomy site »
Congratulations, Tom Lippincott
Tom Lippincott, associate research professor of computer science at Johns Hopkins University, has been selected for a a 2025 Humanities and AI Virtual Institute award from Schmidt Sciences. The program is supporting 23 teams
Read the entire article on the Center for Language and Speech Processing site »
SciServer
A free, fully integrated platform for data-intensive science research, built and operated by the Institute for Data-Intensive Engineering and Science.
Power your simulations and analyses on virtual machines, pre-installed with industry-standard software packages
Write and run code in Jupyter notebooks in Python or R
Explore over 2PB of hosted datasets—or upload and use your own
Enhance your lesson plan with template notebooks
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