Issue 2.2, Spring 2020

From the Editor-in-Chief

Information and Uncertainty: Two Sides of the Same Coin

by Xiao-Li Meng

Issue 2.2 / Spring 2020

Panorama

Overviews, Visions, and Debates

Implementing Differential Privacy: Seven Lessons From the 2020 United States Census

by Michael B. Hawes

Toward Foundations for Data Science and Analytics: A Knowledge Framework for Professional Standards

by Usama Fayyad and Hamit Hamutcu

Data Science in Heavy Industry and the Internet of Things

by Michael Horrell, Larry Reynolds, and Adam McElhinney

Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community

by Katie Malone and Rich Wolski

On the Convergence of Epidemiology, Biostatistics, and Data Science

by Neal D. Goldstein, Michael LeVasseur, and Leslie A. McClure

Cornucopia

Impact, Innovation, and Knowledge Transfer

Lost or Found? Discovering Data Needed for Research

by Kathleen Gregory, Paul Groth, Andrea Scharnhorst, and Sally Wyatt

Connections

Supplements (1):

Kathleen Gregory & 3 others

Measuring and Mapping Data Reuse: Findings From an Interactive Workshop on Data Citation and Metrics for Data Reuse

by Lisa Federer

Stepping Stones

Learning, Teaching, and Communication

Beyond Unicorns: Educating, Classifying, and Certifying Business Data Scientists

by Thomas Davenport

Can the Coronavirus Prompt a Global Outbreak of “Distributional Thinking” in Organizations?

by Nathan Sanders

Milestones and Millstones

Foundations, Theories, and Methods

With Malice Toward None: Assessing Uncertainty via Equalized Coverage

by Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, and Emmanuel Candès

Mining the Past

Brief Histories of Data Science

Column Co-Editors: Stephanie Dick and Christopher J. Phillips

Error, Uncertainty, and the Shifting Ground of Census Data

by Dan Bouk

Minding the Future

Building Pipelines for Data Science

Column Editor: Nicole Lazar

Data, Data, Everywhere . . .

by Nicole Lazar

Recreations in Randomness

Data Science for Leisure Activities

Column Editor: Mark Glickman

Can Machine Learning Predict the Price of Art at Auction?

by Jason Bailey