Educating in a Data-Driven World

Data isn't going anywhere. Neither is the demand for analytics skills in today's increasingly data-driven workplace. Companies are hiring for analytical skills to tackle big data in every industry.

Tune in to hear from academics from leading higher education institutions, including Duke University, Stanford University, Lehigh University, Indiana University, Georgetown University and the University of South Carolina, in a roundtable discussion on how to prepare students for an increasingly data-driven world.

This is an audio recording only.

About the speakers


Cheryl Phillips

Lorry I. Lokey Visiting Professor in Professional Journalism, Stanford University

Cheryl Phillips previously worked at The Seattle Times from 2002-2014. Her most recent position in Seattle was as Data Innovation Editor. In that role, she analyzed data for stories, facilitated online storytelling and coordinated newsroom data journalism training. She also was the deputy investigations editor, an assistant metro editor and an investigative reporter at The Seattle Times. In 2014, she was involved in coverage of a landslide that killed 43 people and was particularly focused on collecting and using data to help cover the story. That coverage received a Pulitzer Prize for breaking news. In 2009, she was the lone editor in the newsroom when four police officers were shot at a coffee shop and was integrally involved in the subsequent coverage of the shooting and 30-hour manhunt for the suspect. That work by the newsroom received a Pulitzer Prize for breaking news. She also has twice been on teams that were Pulitzer finalists. She has worked at USA Today and at newspapers in Michigan, Montana and Texas.

Cheryl has taught data journalism and data visualization at the University of Washington and Seattle University. She also served for 10 years on the board of directors for Investigative Reporters and Editors, a grassroots training organization for journalists and she is a former IRE board president. She currently serves on an advisory board for Tableau Public, a data visualization software tool. Twitter: @cephillips


Jana Schaich Borg

Postdoctoral Associate, Duke University

Jana Schaich Borg is a Postdoctoral Associate in the Laboratory for Psychiatric Neuroengineering in the Department of Psychiatry and Behavioral Sciences at Duke University and in MADLAB at the Kenan Institute for Ethics at Duke University. She received her Ph.D in neuroscience from Stanford University and her BA in the philosophy of neuroscience from Dartmouth College. She works with both human and animal participants to study how and why we make social decisions, including moral decisions.


Mike Galbreth

Associate Professor of Management Science, University of South Carolina

Mike Galbreth is an Associate Professor of Management Science at the University of South Carolina’s Darla Moore School of Business. Mike has taught quantitative courses at the Moore School since 2006, and his teaching has been recognized with numerous teaching awards, including seven Outstanding Professor awards in the full-time MBA program. Mike is a Fulbright Scholar and has published analytical research papers in leading academic journals. He is the co-founder of the Moore School’s Analytics Initiative, and he currently teaches data visualization in both the full-time and part-time MBA programs.


Jon Schwabish

Adjunct Professor in the McCourt School of Public Policy and the McDonough School of Business at Georgetown University, Lecturer at the Maryland Institute College of Art

Jonathan Schwabish is founder of the data visualization and presentation skills firm, PolicyViz, and a Senior Research Associate at the Urban Institute, a nonprofit research institution in Washington, DC. There, he is a researcher in the Income and Benefits Policy Center and a member of the Institute’s Communication team where he specializes in data visualization and presentation design. His research agenda includes such areas as earnings and income inequality, immigration, disability insurance, retirement security, data measurement, the Supplemental Nutrition Assistance Program (SNAP), and other aspects of public policy.

Dr. Schwabish is also considered a leader in the data visualization field and is a leading voice for clarity and accessibility in research. He has written on various aspects of how to best visualize data including technical aspects of creation, design best practices, and how to communicate social science research in more accessible ways. He was named a “visualization thought leader” by AllAnalytics in 2013 and speaks widely on the issues of data visualization, open data, and data use in organizations.

Dr. Schwabish also teaches data visualization and presentation skills at Georgetown University and the Maryland Institute College of Art, as well as in public workshops and for private clients through his consulting firm, PolicyViz. He also co-hosts the Rad Presenters Podcast, which aims to improve people's presentation skills. He also hosts the PolicyViz Podcast, which focuses on data, open data, and data visualization. His new book about presentation design and techniques, Better Presentations: A Guide for Scholars, Researchers, and Wonks, is now available for preorder. He is on Twitter @jschwabish.


Vijay Khatri

Associate Professor of Information Systems, Arthur M. Weimer Faculty Fellow, Co-Director, Kelley Institute for Business Analytics, Indiana University

Vijay Khatri currently serves as the Director of the Institute for Business Analytics in the Kelley School of Business at Indiana University where he is also Associate Professor of Information Systems and Arthur M. Weimer Faculty Fellow in the Operations and Decision Technologies department. His current teaching is focused on enterprise data management and predictive analytics courses being taught to graduate students as well as corporate professionals.

His research centers on issues related to data semantics, semiotics and conceptual database design, temporal databases, and data governance. More specifically, his research involves developing conceptual design techniques for management of data, especially for applications that need to organize data based on time and space. Vijay has published articles in journals such as Annals of Mathematics and Artificial Intelligence, Information Systems Research, Journal of Management Information Systems, Decision Sciences Journal, Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering, and Information Systems. He is a member of ACM and a senior member of the IEEE Computer Society.

He holds a Bachelors of Engineering degree from the National Institute of Technology, a Management Degree from the University of Bombay, and a Ph.D. from the University of Arizona.


Daniel Lopresti

Professor and Chair of Department of Computer Science and Engineering, Director of Data X Initiative, Lehigh University

Daniel Lopresti received his bachelor's degree from Dartmouth in 1982 and his Ph.D. in computer science from Princeton in 1987. After completing his doctorate, he joined the Department of Computer Science at Brown and taught courses ranging from VLSI design to computational aspects of molecular biology and conducted research in parallel computing and VLSI CAD. He went on to help found the Matsushita Information Technology Laboratory in Princeton, and later also served on the research staff at Bell Labs where his work turned to document analysis, handwriting recognition, and biometric security.

In 2003, Dr. Lopresti joined the Department of Computer Science and Engineering at Lehigh where his research examines fundamental algorithmic and systems-related questions in pattern recognition, bioinformatics, and security. On July 1, 2009, he became Chair of the CSE Department. Effective July 1, 2014, he assumed the role of Interim Dean of the P. C. Rossin College of Engineering and Applied Science at Lehigh. On July 1, 2015, he returned to Chair the CSE Department, as well as to serve as Director of the Data X strategic initiative.

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