Meeting the Big Data Challenge is not just about building faster computers, it is about smarter computing. The Challenge is not to find brute force correlations in Big Data, it is to identify fundamental relationships, to expand our understanding of the physical universe. The Challenge is about more than solving today's problems; we want to set the stage for breakthroughs we have barely begun to imagine.
At IDIES we develop faster, smarter, better techniques to access and analyze Big Data, enabling the global scientific community to find Big Answers to Big Questions.
Be part of the team that makes it happen. With your help, we will meet and master the Big Data Challenge.
Learn about IDIES and find out how you can contribute.
MEET THE TEAM
Alex Szalay, founder of IDIES, began in the mid-1990's with a grant from the Seaver Foundation, followed closely by grants from the Moore and Keck Foundations. Alex leveraged the seed money, hiring post-docs and researchers to realize his vision of a scientific Big Data revolution.
Professor Andrew Connolly of the Univ. of Washington, once a post-doc working with Alex Szalay, now shapes the scientific future of the LSST (Large Synoptic Survey Telescope). View his TED
talk about the LSST.
IDIES Affiliates Charles Meneveau and Thomas Haine. Professor Meneveau co-manages the multi-Terabyte Johns Hopkins Turbulence Databases. Professor Haine is a oceanographer working with IDIES towards creating a Large-Scale Ocean Circulation Database.
ΠhD: Alex Szalay is working to reinvent the PhD at Johns Hopkins with a π shaped training format – deep training in two disciplines (i.e. biochemistry and computer science).
Learn THE SCIENCE
2001: SDSS releases 100 Gigabytes in its first Early Data Release.
2012: SDSS releases 10 Terabytes in Data Release 12.
2021: LSST is projected to release 1.5 Petabytes per year.
The Sloan Digital Sky Survey (SDSS) has created the most detailed
three-dimensional maps of the Universe ever made, with deep multi-color images of one third of the sky, and
spectra for more than three million astronomical objects.
SciServer is an ambitious cyberinfrastructure project funded by the NSF to enable
universal access to and analysis of large scientific datasets.
IDIES researchers are working with the Large Synoptic Survey Telescope (LSST) to
optimize database storage and access so that researchers around the world can access its expected 15 Petabytes of catalog data.
Mastering scientific big data is about recruiting and training the world’s best scientific revolutionaries and giving them the resources they need to do the job.
$25K: Named seed fund for innovative research.
$50K: Named research fund for novel data analysis hardware.
$10K: Named graduate student research stipend.
$50K: Named support for a graduate student for one year.
$50K: Named research award for a post-doc for six months.
$100K: Named research award for a post-doc for one year.
$200K: Named research award for a post-doc for two years.