Next Data Science Education Meetings on May 1-3 in Washington DC

By Renee Dopplick, ACM Director of Public Policy
April 18, 2017

The next public forum on data science postsecondary education convened by the National Academies of Sciences will be on May 1-3 in Washington, D.C. The roundtable on Monday, May 1, will explore data science in the workplace and will be available by webcast. Roundtable speakers will include representatives from the U.S. Census Bureau, the U.S. Department of Commerce, IBM, Booz Allen Hamilton, NYU Stern School of Business, and Johns Hopkins University. A 2-day workshop on Tuesday-Wednesday will discuss key themes relevant to envisioning the future of data science, including data science skills and knowledge requirements, emergent education delivery models, and effective approaches to broad participation in data-driven academic environments.

Roundtable on Data Science Post-Secondary Education

The Roundtable on Data Science Post-Secondary Education is part of a series of roundtables during the next three years to bring together perspectives from senior experts and educators from the fields of computer science and computing, statistics, mathematics, and engineering. These professionals will share insights and suggestions on how we can realize the potential of technological developments, big data, machine learning, and advances in computing power.

The roundtable is chaired by Kathleen R. McKeown, the Henry and Gertrude Rothschild Professor of Computer Science at Columbia University and also the Director of the Institute for Data Sciences and Engineering, and Eric Kolaczyk, Professor of Mathematics and Statistics at Boston University. The roundtable includes several ACM Fellows, SIG leaders, and award winners. It is organized by the National Academies of Sciences’ Committee on Applied and Theoretical Statistics in conjunction with the Board on Mathematical Sciences and Their Applications, the Computer Science and Telecommunications Board, and the Board on Science Education.

ACM is a sponsor of the roundtable.

Study Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective

The Study Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective is focusing on identifying and envisioning core underlying principles, intellectual content, and pedagogical issues specific to data science, including core concepts.

The study committee is chaired by Laura Haas, IBM, and Alfred Hero, University of Michigan. The National Science Foundation is a sponsor of the study committee. Through 2-day public workshops and ongoing internal working group discussions, the study group explores how the field of data science should evolve and what are some future directions and implications to society. Similar to the roundtable, it brings together representatives from academia, industry, funding agencies, and professional societies to explore the transformative impacts of data, the needs of the diverse data science communities, the implications for employers, and ways to define and strengthen postsecondary education programs and opportunities for students.