Skip to Main Content
 
 
The National Academies of Sciences, Engineering and Medicine
Computer Science and Telecommunications Board
Computer Science and Telecommunications Board
Division on Engineering and Physical Sciences
Home
Current Projects
Completed Projects
Publications by Year
Publications by Topic
News & Events
Cyber Forum
Cybersecurity
CSTB's Mission
CSTB's Impact
Board Membership
Staff
Careers
DEPS Home

Contact Us
CSTB
500 Fifth Street NW
Washington, DC
Phone: (202) 334-2605
Fax: (202) 334-2318
E-mail: cstb@nas.edu

Follow CSTB on
Facebook and Twitter

 

CSTB is a part of the
Division on Engineering and Physical Sciences.

Sign up for the DEPS newsletter.

 

 

Webinar Series on Data Science Undergraduate Education

 

 

Join the National Academies of Sciences, Engineering, and Medicine for a webinar series on undergraduate data science education. Webinars will take place on Tuesdays from 3-4pm ET starting on September 12 and ending on November 14. See below for the list of dates and themes for each webinar. You have the option to sign up for the entire webinar series or to sign up for individual webinars.

 

This webinar series is part of an input-gathering initiative for a National Academies study on Envisioning the Data Science Discipline: The Undergraduate Perspective. Learn more about the study, read the interim report, and share your thoughts with the committee on the study webpage at nas.edu/EnvisioningDS.

 

Register to Attend Online


WEBINAR DATES, TOPICS, AND INSTRUCTIONS

 

All webinars take place from 3-4pm ET.

Password for All Webinars: data

 

9/12/17 - Building Data Acumen - Webinar Recording, Slides

During this webinar, invited speakers will discuss key components that should be included in data science curriculum, how to best teach students to make good judgements about data, and how data acumen can be evaluated.

Host: Tom Ewing, Virginia Tech
Nicole Lazar, University of Georgia
Mladen Vouk, North Carolina State University


9/19/17 - Incorporating Real-World Applications - Webinar Recording, Slides

During this webinar, invited speakers will discuss how partnerships between industry and educational programs could be encouraged, whether a focus on real problems could attract a more diverse cadre of data science students, and how to help students gain access to real-world data sets.

Host: Tom Ewing, Virginia Tech
Cláudio T. Silva, New York University
Sears Merritt, Mass Mutual Financial Group

 

9/26/17 - Faculty Training and Curriculum Development - Webinar URL

During this webinar, invited speakers will discuss what types of faculty training would be beneficial, how to encourage faculty development in data science, and how to build data science programs with the flexibility needed to respond to changes in the field and encourage diverse participation.
Host:  Nicholas Horton, Amherst College
Michael Posner:  Villanova University
Robert Panoff, Shodor

 

10/3/17 - Communication Skills and Teamwork - Webinar URL

During this webinar, invited speakers will discuss how to foster communication and teamwork in data science programs and how multidisciplinary teams could serve as effective models for the real world.
Host: Lee Rainie, Pew Research
Madeleine Elish, Data & Society
Adam Hughes, Pew Research
 

 10/10/17 - Inter-Departmental Collaboration and Institutional Organization - Webinar URL

During this webinar, invited speakers will discuss best practices for fostering collaboration between departments, opportunities for new data science education initiatives, and how organizational structures could be restructured to encourage data science collaboration.
 

10/17/17 - Ethics - Webinar URL

During this webinar, invited speakers will discuss how ethical considerations can best be incorporated throughout data science curricula and how students can be taught to make ethical decisions throughout the problem-solving process. 
Host: Lee Rainie, Pew Research
Sorin Mattei, Purdue University
Brittany Fiore-Gartland, University of Washington


10/24/17 - Assessment and Evaluation for Data Science Programs -
Webinar URL

During this webinar, invited speakers will discuss existing evaluation processes, best practices for assessing data science programs, and whether there are standard evaluation approaches that can be adopted across programs.
Host:  Louis Gross, University of Tennessee, Knoxville
Pamela Bishop, University of Tennessee, Knoxville
Kari Jordan, Data Carpentry

 

11/7/17 - Diversity, Inclusion, and Increasing Participation - Webinar URL

During this webinar, invited speakers will discuss how to broaden participation, diversity, and inclusion in data science programs and strategies for recruiting and retaining diverse data science students.

 

11/14/17 - Two-Year Colleges and Institutional Partnerships - Webinar URL

During this webinar, invited speakers will discuss how to facilitate partnerships between 2-year and 4-year institutions and what aspects of data science are appropriate and feasible to develop at 2-year institutions.
Host:  Laura Haas, University of Massachusetts, Amherst
Brian Kotz, Montgomery College
Suzanne Smith, Johnson County Community College