Marriage of data science and neuroscience at Yale gets support from NSF

A Yale initiative that unites data science and neuroscience is one of 19 partnerships to receive $8.5 million in funding under the NSF’s TRIPODS + X program.
A human brain illustrated with a cloud of big data symbols.


A Yale initiative that bridges the gap between data science and neuroscience has received an award from the National Science Foundation (NSF).

The Yale initiative was one of 19 partnerships between science and engineering disciplines to receive $8.5 million in funding under the NSF Transdisciplinary Research in Principles of Data Science (TRIPODS) + X program, the foundation announced Sept. 11.

The TRIPODS + X program supports teams of researchers engaged in collaborative activities to create data-driven research projects and build robust data-science communities centered around a specific domain — in Yale’s case, neuroscience.

The Yale project, known as Investigations at the Interface of Data Science and Neuroscience, seeks to integrate the shared foundations of the two fields to create a new discipline of “data neuroscience.” This integration allows data science to make sense of neuroscience data by devising formal, mathematically rigorous theories.

The award will help us develop data science models to improve artificial intelligence and machine learning by drawing on lessons of the prodigious learning ability of the human brain,” said Yale professor of psychology Nicholas Turk-Browne, a principal investigator for the project.

Co-principal investigators on the grant are John Lafferty, professor of statistics & data science; Damon Clark, associate professor of molecular, cellular & developmental biology and of physics; and Jeff Brock, professor of mathematics and new dean of science. Additional investigators are Marvin Chun, professor of psychology and dean of Yale College, and three collaborators from Brown University, professors Bjorn Sandstede, David Sheinberg, and Stuart Geman.

The award will provide funding for research studies and graduate students, as well as for organizing workshops and student exchanges. It builds upon NSF’s long history of investments in foundational research, contributing key advances to the emerging data science discipline and its applications throughout the arts and sciences. The award also supports researchers as they develop innovative and educational pathways to train the next generation of data scientists.

TRIPODS + X is exciting not only for its near-term impact addressing some of society’s most important scientific challenges, but because of its potential for developing tools for future applications,” said Anne Kinney, NSF assistant director for mathematical and physical sciences.


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