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Agenda and Presentations

Envisioning the Data Science Discipline: The Undergraduate Perspective

 

Pre-Workshops Meeting Agenda
December 12-13, 2016

 

Keck Center of the National Academies
500 5th St NW, Washington, DC
Room 208

 

Meeting Goals: 

  • Discuss plans for the study and 2017 workshops;
  • Discuss core concepts of current undergraduate data science education and envision future pathways that embrace the full lifecycle of data and consider the full impact of data science on society; and
  • Brainstorm how to engage underrepresented student populations; and reduce "leakage" in data science pipelines by anticipating and addressing issues currently seen in STEM pipelines.
     

 

Agenda

 

8:30am Day 1 Opening Comments

  • Study Co-Chairs: Laura Haas, IBM and Alfred Hero, III, University of Michigan
  • Sponsor: National Science Foundation

9:30am Lessons from current data science program and future directions
Perspectives:

  • Rebecca Nugent, Carnegie Mellon University, Presentation
  • Rob Rutenbar, University of Illinois at Urbana–Champaign, Presentation
  • David Culler, University of California, Berkeley, Presentation
  • William Yslas Velez, University of Arizona, Presentation
  • Duncan Temple Lang, University of California, Davis

Open discussion

11:30am Envisioning the field of data science and future directions and implications to society. How should data science evolve?
Perspectives

12:10pm Working Lunch

1:00pm Breakout Discussion #1

  • What could data science look like in the future?
  • What role could data science play in society?
  • How should data science evolve?

2:50pm Break

3:10pm Expanding diversity in data science—among student population; and in topic areas embraced by data science
Perspectives:

3:40pm Breakout Discussion #2

  • How could diversity among the data science student population be expanded?
  • What topic areas should be embraced by data science?

5:00pm Adjourn meeting

 

---

 

8:30am Day 2 Welcome back

  • Study Co-Chairs: Laura Haas, IBM and Alfred Hero, III, University of Michigan

8:40am Report back from Breakout Session #2

9:10am What are the questions that should be asked to envision the future of data science for undergraduates?
Perspective:

  • Tom Ewing, Virginia Tech, Presentation
  • Lou Gross, University of Tennessee, Knoxville
  • Chris Mentzel, Gordon and Betty Moore Foundation, Presentation
  • Patrick Perry, New York University, Presentation
  • John Abowd, U.S. Census Bureau

10:00am Breakout Session #3:

  • What are the questions that should be asked to envision the future of data science for undergraduates?

11:30am Concluding remarks

  • Study Co-Chairs: Laura Haas, IBM and Alfred Hero, III, University of Michigan

11:45am Adjourn workshop