Abstract: Big Data is about data-intensive computing, analysis at scale, iteration and understanding. It takes
advantage of supercomputing, massive simulations, real-time filtering but has distinct engineering points to
maximize economic access to massive amounts of bits. Scientists talk about "big data" but most do not yet
have large quantities. For many gigabytes are significant and a few terabytes are aspirational. Deep learning
absorbs enormous amounts of specialized cycles. There are huge possibilities for scientific progress using these
relatively new approaches. New generations of instruments will produce orders of magnitude more
observations, global catalogues will be enormous, and new techniques are waiting to be applied (machine
learning of course, in its many variations, but Bayes rules). Yes, LHC, LSST are in the petabyte range, but this is
still the exception. Bio Alexander Szalay: Alexander Szalay is the Bloomberg Distinguished Professor at the Johns Hopkins University,with a joint appointment in the Departments of Physics and Astronomy and Computer Science. He is the Director of the Institute for Data Intensive Science and Engineering (IDIES). He is a cosmologist, working on the statistical measures of the spatial distribution of galaxies and galaxy formation. He has been the architect for the archive of the Sloan Digital Sky Survey. He is a Corresponding Member of the Hungarian Academy of Sciences, and a Fellow of the American Academy of Arts and Sciences. In 2004 he received an Alexander Von Humboldt Award in Physical Sciences, in 2007 the Microsoft Jim Gray Award. In 2008 he became Doctor Honoris Causa of the Eotvos University, Budapest. In 2015 he received the Sidney Fernbach Award of the IEEE for his work on Data Intensive Computing. He enjoys playing with Big Data. Bio Stuart Feldman: Stuart Feldman is Chief Scientist of Schmidt Futures where he is responsible for the Scientific Knowledge programs, including creating fellowship programs, supporting nascent innovative research projects, and driving new platforms and larger research projects that aim to change the way scientific research is done and the way universities operate. Stuart Feldman did his academic work in astrophysics and mathematics and earned his AB at Princeton and his PhD at MIT. Feldman is best known for writing "Make" and other essential tools. He was awarded an honorary Doctor of Mathematics by the University of Waterloo. He is former President of ACM (Association for Computing Machinery) and former member of the board of directors of the AACSB (Association to Advance Collegiate Schools of Business). He received the 2003 ACM Software System Award. He is a Fellow of the IEEE, ACM, and AAAS. He is Board Chair of the Center for the Minorities and Disabled in IT, serves on a number of university advisory boards and National Academy panels, and has served on a wide variety of government advisory committees.
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