The three leaders believe universities are uniquely positioned to empower researchers to harness the deluge of valuable, heterogeneous, and noisy data continuing to come their way and help navigate the flood of software analysis tools and approaches that are often incompatible, hard to learn or poorly written by brilliant scientists trying to get their job done.
"As someone whose research depends on the fluent use of data," said Saul Perlmutter, lead faculty member at the University of California, Berkeley, "I'm excited that we now have an opportunity to identify the typical data-science barriers, little and big, that slow our progress, and to see which could be mitigated or, occasionally, just plain solved!"
"We must build on our existing efforts that leverage existing industry tools, generate new working tools and practices and support the multi-disciplinary experts who develop new approaches and tools needed to fill gaps," said Ed Lazowska, faculty lead at the University of Washington. "Working together, we believe we're going to shift the culture at our universities and help accelerate broader uptake for supporting data-intensive discovery."
"With the onslaught of data, much of the knowledge in the world is going to be extracted by machines," said Yann LeCun, faculty lead at New York University. "Universities must find new ways to advance data-science methodologies while facilitating the use of new methods and tools by researchers from every field. Universities also have an opportunity to train new generations of researchers in data-driven science."
Each of the three universities will contribute additional resources to the investment made by the Moore and Sloan foundations, including new faculty positions, physical space on campus and research support.
Each of the partner universities distinguished itself in recent years by pioneering new approaches to discovery in fields as diverse as astronomy, biology, oce
|Contact: Genny Biggs|
Gordon & Betty Moore Foundation