Data Science Research and Education

Academic Learning Community: 

Data Science Research and Education at Emory University

Fall 2017

Conveners: Lance Waller, Professor of Biostatistics and Bioinformatics, Rollins School of Public Health and Vaidy Sunderam, Professor of Math and Computer Science, Emory College

Data Science is rapidly emerging as a cross cutting discipline that poses great opportunities for new scholarship as well as new courses and educational programs. It is truly cross cutting in that every discipline has come to depend on Data Science as a new paradigm, and intrinsically, evolution in Data Science is itself informed and influenced by other disciplines. Members of this Academic Learning Community will analyze and develop a notion of what Data Science can and should be distinctively at Emory, in particular, the types of Data Science scholarship we should promote and the types of degree-granting or certificate programs we should develop.

Academic Learning Communities are informal seminars that are intended to:

  • engage faculty in collaborative explorations of innovative research and teaching topics;
  • bring guest speakers to campus to enhance the curriculum and learning; and/or
  • help disseminate important research discoveries and innovative learning strategies to the broader community. 

Particulars:

  • The Seminar will meet from 12:00-1:30pm on the following dates: September 6, September 27, October 25, November 29, and December 13.
  • Proposed output for the Academic Learning Community is a summary report outlining Emory’s unique role in the development of Data Science as a field, and opportunities and potential for excellence across schools and programs.  The report will outline specific recommendations, partnerships (internal and external), and action plans for short and long term goals in this growing interdisciplinary area.
  • Each meeting will balance presentations by the facilitator or invited speakers with group discussions of pertinent readings and presentations by seminar participants.
    • Suggested readings will be posted on Canvas prior to the session, and/or will be made available separately.
    • Up to 20 participants will be accommodated and will include both faculty and graduate students from across the university. 

To apply, please fill out this form here .

The deadline for application is Friday, August 25.

Selections will be announced in early September. A limited number of spaces will be reserved for graduate students based on the relevance of their research to the topic.