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Nsf Announces $17.7m in Awards For Cross-Disciplinary Data Sciences Projects

data science, illustration

Credit: edX

The U.S. National Science Foundation (NSF) will allocate $17.7 million to fund 12 Transdisciplinary Research in Principles of Data Science (TRIPODS) projects to "bring together the statistics, mathematics, and theoretical computer science communities to develop the foundations of data science." The initiatives will support research and training activities in data science that go beyond disciplinary boundaries, and NSF's Jim Kurose says the TRIPODS projects "will enable continued data-driven discovery and breakthroughs across all fields of science and engineering."

NSF also released its first series of Convergence awards for nurturing cross-disciplinary collaboration to address grand challenge problems. "Convergence is a deeper, more intentional approach to the integration of knowledge, techniques, and expertise from multiple disciplines in order to address the most compelling scientific and societal challenges," says NSF director France Cordova.

The awards will align with five grand challenges, including tapping the data revolution, quantum computing, and the human-technology frontier.

From HPCwire 
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