Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various topics under this charge. The meetings centered on four central themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science. This publication highlights the presentations and discussions of each meeting.

Contents

• The National Academies of SCIENCES • ENGINEERING • MEDICINE
• ROUNDTABLE ON DATA SCIENCE POSTSECONDARY EDUCATION
• BOARD ON MATHEMATICAL SCIENCES AND ANALYTICS
• COMMITTEE ON APPLIED AND THEORETICAL STATISTICS
• COMPUTER SCIENCE AND TELECOMMUNICATIONS BOARD
• BOARD ON SCIENCE EDUCATION
• Acknowledgment of Reviewers
• 1. Introduction
  • FOUNDATIONS OF DATA SCIENCE
  • DATA SCIENCE ACROSS THE POSTSECONDARY CURRICULUM
  • DATA SCIENCE ACROSS SOCIETY
  • ETHICS AND DATA SCIENCE
• 2. Meeting #1: The Foundations of Data Science from Statistics, Computer Science, Mathematics, and Engineering
  • FOUNDATIONS OF DATA SCIENCE
  • NEEDS OF DATA SCIENCE COMMUNITIES
• 3. Meeting #2: Examining the Intersection of Domain Expertise and Data Science
  • EMERGING NEEDS AND OPPORTUNITIES IN DATA-INTENSIVE DOMAINS
  • OPEN DISCUSSION
  • CASE STUDIES
  • OPEN DISCUSSION
• 4. Meeting #3: Data Science Education in the Workplace
  • DATA SCIENCE TRAINING IN THE WORKPLACE: GOVERNMENT
  • DATA SCIENCE TRAINING IN THE WORKPLACE: BUSINESS
  • DATA SCIENCE TRAINING IN THE WORKPLACE: EXECUTIVE EDUCATION
  • OPEN DISCUSSION
• 5. Meeting #4: Alternative Mechanisms for Data Science Education
  • STANFORD UNIVERSITY'S CERTIFICATE PROGRAMS
  • BOSTON UNIVERSITY'S STATISTICS PRACTICUM
  • CORNELL TECH AND THE JACOBS TECHNION-CORNELL INSTITUTE
  • AMERICAN STATISTICAL ASSOCIATION DATAFEST
  • BOOT CAMPS
  • INFORMAL DATA SCIENCE EDUCATION
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 6. Meeting #5: Integrating Ethical and Privacy Concerns into Data Science Education
  • TEACHING ALGORITHMIC ACCOUNTABILITY IN DATA SCIENCE EDUCATION
  • UNCOVERING THE SUBSTANCE OF A DATA SCIENCE ETHICS EDUCATION
  • RECOGNIZING AND ANALYZING FALSE CLAIMS FROM BIG DATA
  • OPEN DISCUSSION
  • MATHEMATICAL APPROACHES TO PRIVACY AND FAIRNESS
  • NAVIGATING HISTORY, PRIVILEGE, AND POWER IN INFORMATION AND DATA SCIENCE
  • OPEN DISCUSSION
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 7. Meeting #6: Improving Reproducibility by Teaching Data Science as a Scientific Process
  • DATA SCIENCE AS A SCIENCE: METHODS AND TOOLS AT THE INTERSECTION OF DATA SCIENCE AND REPRODUCIBILITY
  • TEACHING REPRODUCIBLE DATA SCIENCE: LESSONS LEARNED FROM A COURSE AT BERKELEY
  • REPRODUCIBLE MACHINE LEARNING—THE TEAM DATA SCIENCE PROCESS
  • OPEN DISCUSSION
  • TRAINING AS A PATHWAY TO IMPROVE REPRODUCIBILITY
  • PERSPECTIVES ON ENHANCING RIGOR AND REPRODUCIBILITY IN BIOMEDICAL RESEARCH THROUGH TRAINING
  • BURIED IN DATA, STARVING FOR INFORMATION: HOW MEASUREMENT NOISE IS BLOCKING SCIENTIFIC PROGRESS
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 8. Meeting #7: Programs and Approaches for Data Science Education at the Ph.D. Level
  • THE PH.D. PROGRAM IN DATA SCIENCE AT NEW YORK UNIVERSITY
  • YALE'S PH.D. PROGRAM IN STATISTICS AND DATA SCIENCE
  • INTRODUCTION TO STATISTICS AND DATA SCIENCE AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY
  • OPEN DISCUSSION
  • DATA SCIENCE AT THE UNIVERSITY OF CALIFORNIA, DAVIS
  • SOCIAL SCIENTIFIC DATA SCIENCE: BUILDING THE PENN STATE PH.D. IN SOCIAL DATA ANALYTICS
  • DATA SCIENCE SPECIALIZATIONS IN PH.D. PROGRAMS AT THE UNIVERSITY OF WASHINGTON
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 9. Meeting #8: Challenges and Opportunities to Better Engage Women and Minorities in Data Science Education
  • THE CONSTELLATIONS CENTER FOR EQUITY IN COMPUTING
  • PANEL PRESENTATIONS ON EXISTING PROFESSIONAL SOCIETY EFFORTS TO INCREASE DIVERSITY
  • PANEL DISCUSSION
  • OPEN DISCUSSION
  • KEEPING DATA SCIENCE BROAD
  • THE DSX PROJECT: A FIRST LOOK AT DATA SCIENCE EDUCATION ON SPELMAN AND MOREHOUSE CAMPUSES
  • HISPANICS AND NATIVE AMERICANS IN COMPUTER SCIENCE: PATTERNS, PRESSURES, AND PROGRAMS
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 10. Meeting #9: Motivating Data Science Education Through Social Good
  • AN INFORMAL DISCUSSION ABOUT DATA SCIENCE FOR SOCIAL GOOD
  • FROM CLASSROOM TO CLINIC: DATA SCIENCE FOR SOCIAL GOOD FELLOWSHIPS AND THE LESSONS DATA SCIENCE EDUCATORS CAN LEARN FROM THE MEDICAL PROFESSION
  • TEACHING DATA THAT MATTERS
  • OPEN DISCUSSION
  • DATA, DESIGN, AND ENGAGEMENT: LESSONS FROM 30+ DATA SCIENCE FOR SOCIAL GOOD PROJECTS
  • TEACHING PEOPLE TO THINK WITH DATA
  • CAN AI REDUCE GANG VIOLENCE OR CAUSE MORE HARM?
  • OPEN DISCUSSION
  • SMALL GROUP DISCUSSIONS AND CONCLUDING CONVERSATIONS
• 11. Meeting #10: Improving Coordination Between Academia and Industry
  • OVERVIEW OF ACADEMIA–INDUSTRY PARTNERSHIPS
  • PANEL ON MECHANISMS FOR ENGAGING AND FOSTERING INDUSTRY PARTNERSHIPS
  • PANEL DISCUSSION
  • PANEL ON NATIONAL PERSPECTIVES ON ACADEMIA–INDUSTRY COORDINATION
  • PANEL DISCUSSION
  • A NEW MODEL FOR ACADEMIA–INDUSTRY PARTNERSHIPS
  • PANEL ON INDUSTRY ACTIVITIES AND EXPERIENCES FROM ACADEMIC PARTNERSHIPS
  • PANEL DISCUSSION
  • BREAKOUT GROUP DISCUSSIONS
• 12. Meeting #11: Data Science Education at Two-Year Colleges
  • SETTING THE LANDSCAPE: TWO-YEAR COLLEGES AND DATA SCIENCE EDUCATION
  • PANEL ON INTEGRATING DATA LITERACY INTO COURSEWORK AND DEVELOPING DATA SCIENCE PROGRAMS
  • TEACHING DATA LITERACY IN THE CONTEXT OF ADVANCING WORKPLACE TECHNOLOGY
  • ROUNDTABLE DISCUSSION
  • BREAKOUT GROUP DISCUSSION: DATA SCIENCE CAREERS AND INDUSTRY PARTNERSHIPS
  • BREAKOUT GROUP DISCUSSION: DATA SCIENCE LITERACY, CURRICULA, CERTIFICATES, AND DEGREES
  • CASE STUDIES: OPPORTUNITIES AND CHALLENGES
  • ROUNDTABLE DISCUSSION
  • BREAKOUT GROUP DISCUSSION: COORDINATING WITH OTHER POSTSECONDARY INSTITUTIONS
  • BREAKOUT GROUP DISCUSSION: ENHANCING PROFESSIONAL DEVELOPMENT AND ADOPTING EXTERNAL CONTENT
  • GUIDED REFLECTION AND NEXT STEPS
• References
• Appendixes
  • A. Biographical Sketches of Roundtable Members
  • B. Meeting Participants

Suggested citation:

National Academies of Sciences, Engineering, and Medicine. 2020. Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights. Washington, DC: The National Academies Press. https://doi.org/10.17226/25804.

Digital Object Identifier: https://doi.org/10.17226/25804

Additional copies of this publication are available from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu.

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