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 »
JHTDB data curation project chosen for NSF pilot program
A group led by Charles Meneveau, the Louis M. Sardella Professor in Mechanical Engineering and an associate director of the Institute for Data Intensive Engineering and Science (IDIES), was chosen as one of 10 datasets that is being integrated into…
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
Share your research and collaborate seamlessly
News from The Institute for Data-Intensive Engineering and Science
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