The Nexus of Data Science, Convergence, and Graduate Education

  • Dr. Dean Evasius
  • An IDIES Bi-Monthly Seminar
  • When: April 13, 2017, 16:30
  • Where: Arellano Theater, Levering Hall
    3400 N Charles St, Baltimore, MD 21218

Abstract:

Data science has emerged as a distinct discipline that has also become a power enabler of science and engineering. In its deep interactions with other disciplines it is an example of the scientific convergence, which is one of the Ten Big Ideas for Future NSF Investments. The rapid growth of data science raises deep questions about how we should be training graduate students. This talk will explore the connections among data science, convergence, and graduate education, and it will describe some initiatives by NSF and others to promote these areas.

Biography:

Dr_EvasiusDean Evasius is the Division Director for the Division of Graduate Education at the U.S. National Science Foundation. In this role he has a national leadership responsibility in advancing graduate research and education in STEM disciplines, and oversees a program portfolio that provides funding of over $280 million annually. He also leads the NSF working group that is developing the initiative Growing Convergent Research at the National Science Foundation, which is one the Foundation’s 10 Big Ideas for Future NSF Investments.

He was previously a Senior Vice President at ORAU, a consortium of over 100 Ph.D. granting academic institutions that cultivates scientific and educational partnerships between the public and private sectors. ORAU manages the Oak Ridge Institute for Science and Education for the United States Department of Energy. At ORAU Dr. Evasius directed a $300 million dollar portfolio of programs in scientific assessment and STEM research and education.

Dr. Evasius has also served as research mathematician at the National Security Agency. He has published on topics in harmonic analysis, cryptography, statistics, machine learning, and signals analysis. He received the Ph.D. degree in mathematics from the California Institute of Technology.

IDIES Bi-Monthly Seminar

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