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 NortheastBDHub@columbia.edu.
Location
Emma and Georgina Bloomberg Center – Cornell Tech (Directions)
2 West Loop Rd
New York, NY 10044
Travel
Transportation, lodging, and reimbursement information
For questions about travel logistics, please contact Laycca Umer.
Summary
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
Agenda
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
Attendees
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.
