Data Science for High School Computer Science Workshop: Identifying Needs, Gaps, and Resources

The Data Science for High School Computer Science Workshop will be held at the Bloomberg Center at Cornell Tech from January 16-17, 2020.

Click here to view the calendar information for this event.

This workshop is by invitation only. For more information, please email us at


Emma and Georgina Bloomberg Center – Cornell Tech (Directions)

2 West Loop Rd

New York, NY 10044


Transportation, lodging, and reimbursement information

For questions about travel logistics, please contact Laycca Umer.


While there has been increased interest in bringing computer science to all learners through such initiatives as Computer Science for All, data science forms the bridge between computational thinking and real-world problems. Focusing on the needs of the high school students and teachers on the front lines of a rapidly changing workforce, the goal of this capacity-building workshop will be to emphasize the dimensions of learning afforded by data science and articulate a pathway toward data literacy.

The workshop is organized by members of the Columbia University Data Science Institute/Northeast Big Data Innovation Hub and the New York Hall of Science and brings together industry stakeholders, state and local government officials, K-20 curriculum developers, instructors, students, and specialists in learning sciences and informal learning. Workshop programming will include the following elements:

  • Perspectives on Computer Science and Data Science in the classroom: opportunities and challenges
  • Breakout groups on specific challenge areas 
  • Presentations from tool and software developers and learning researchers on validated practices
  • Developing recommendations for action
  • Planning the path forward and workshop report

Read More


Updated January 15, 2020

Download a PDF version of the agenda here.

Thursday, January 16

8:00 Registration and Breakfast

9:00 Welcome, Outline of Agenda and Goals – Workshop Organizers

9:20 NSF Perspectives on Data Science – Jeff Forbes, NSF

9:45 Data Science for All – Catherine Cramer

9:55 Data and Learning – Steve Uzzo

10:10 Digital Justice – Michele Gilman, Data & Society, University of Baltimore

10:40 Coffee Break

11:00 Panel: Perspectives on CS and DS in the Classroom

  • Diane Levitt, Cornell Tech, Moderator
  • Crystal Furman, The College Board
  • Joe Melendez, Cornell Tech
  • Tom O’Connell, Mouse
  • Aankit Patel, City University of New York

12:00 Lunch

1:00 Deep Dive: Successes and Challenges

2:30 Coffee Break

2:50 Mapping Successes and Challenges

4:00 Learning Tools Demonstrations

5:00 Adjourn

Dinner on your own

Friday, January 17

8:00 Breakfast

9:00 Welcome Back

9:05 Preparing Students for an Intensely Digital World – Kirk Borne, Booz Allen Hamilton; introduced by René Bastón, Northeast Big Data Innovation Hub

10:10 Coffee Break

10:30 Breakout Sessions: Challenges and Solutions

11:30 Report-outs

12:30 Lunch

1:30 Recommendations for White Paper

2:00 Small Team Proposal Writing

2:45 Coffee Break

3:00 Presentations

4:00 White Paper Planning and Exit Surveys

4:30 Adjourn


Read about the attendees here.

Program Committee

Catherine Cramer, Consultant

Stephen Uzzo, New York Hall of Science

René Bastón, Northeast Big Data Innovation Hub

This effort is supported by the National Science Foundation under Award Number 1922898 to the New York Hall of Science. 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.