The goal of this National Science Foundation-funded Data Consortium Fellows (DCF) project is to support learning sciences researchers across the United States in developing the capacity to apply best practices in learning analytics and play.

To that end, we created the Data Consortium Fellows program. Fellows can apply for up to $2000 in participant support for a new collaboration that results in a short (500+ word) white paper detailing a new research question, method, or finding in creative learning analytics and play.

Those interested in applying should put together a brief proposal (300 words max, excluding references) outlining the collaboration. Also include (in addition to the 300 word description): a short budget justification; a brief biosketch/CV; and the names and affiliations of any relevant collaborators. All are welcome to apply, but priority will be given to collaborations that include at least one person without published work in learning analytics.

The applications will be reviewed by the DCF program, led by Matthew Berland (UW–Madison), Mike Tissenbaum (MIT), Andrew Krumm (SRI International), and Alex Bowers (Teachers College, Columbia University).

Fellowships will be awarded based on review of fit, merit, and funds availability. For full consideration, please submit your application by 11:59PM May 31, 2017. One application per individual only, please.

Applications should be sent to [] with the subject: “DCF Spring 2017 Application”

Please email us if you have any questions or concerns!

Thank you!

Matthew Berland
Director, DCF Program
University of Wisconsin–Madison

This material is based upon work supported by the National Science Foundation under Grant No. IIS-1549112.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.