Tag Archives: Data Science

The King-Chávez-Parks Future Faculty Fellowship Program

The King-Chávez-Parks Future Faculty Fellowship Program is to increase the pool of traditionally underrepresented candidates pursuing faculty teaching careers in post-secondary education.

Spring 2017 Recipients

Rhetoric, Theory and Culture
Sara Potter

Fall 2016 Recipients

Data Science
Karen Colbert

Environmental and Energy Policy
Marie Richards 3

Marie Richards

Spring 2016 Recipients

Christine Torres Rosa

Fall 2015 Recipients

Applied Cognitive Science and Human Factors



Amber Kemppainen



Biological Sciences



Ida Fonkoue




Forest Science



Joanna Rogers

New Fellowship Opportunity for Data Science Grads

ACM SIGHPC and Intel have partnered to create Computational and Data Science Fellowships, a 5-year program to increase the diversity of students pursuing graduate degrees in data science and computational science. Specifically targeted at women or students from racial/ethnic backgrounds that have not traditionally participated in the computing field, the program is open to students pursuing degrees at institutions anywhere in the world.

Submissions close: April 30
Winners announced: by July 31

To qualify for a Computational & Data Science Fellowship, a student must be:

  • Either currently enrolled in a graduate program or accepted to begin in one no later than October 15
  • Pursuing a graduate degree – Master’s, PhD, or equivalent – in computational or data science (although the formal name of the program may be somewhat different)
  • Completed less than half of her/his planned program of study (with preference given to students who are still early in their studies)
  • A woman and/or a member of a racial/ethnic group that is currently underrepresented in the computing field in the country where the student will earn the degree

The Computational & Data Science Fellowships are made possible by a generous donation from Intel.

Questions?  See how to nominate and the FAQs (frequently asked questions) for more information.