Harvard Data Science Review

From the Editor-in-Chief

Xiao-Li Meng

Data Science: An Artificial Ecosystem

Panorama

Overviews, Visions, and Debates

Alan M. Garber

Data Science: What the Educated Citizen Needs to Know

Christine L. Borgman

The Lives and After Lives of Data

Sabina Leonelli

Data Governance is Key to Interpretation: Reconceptualizing Data in Data Science

Jeannette M. Wing

The Data Life Cycle

Nathan Sanders

A Balanced Perspective on Prediction and Inference for Data Science in Industry

Michael I. Jordan

Artificial Intelligence—The Revolution Hasn’t Happened Yet

Commentary by:Rodney Brooks · Emmanuel Candes, John Duchi, and Chiara Sabatti · Greg Crane · David Donoho · Maria Fasli · Barbara Grosz · Andrew Lo · Maja Mataric · Brendan McCord · Max Welling · Rebecca Willett

Rejoinder from:Michael I. Jordan

Cornucopia

Impact, Innovation, and Knowledge Transfer

Mark Glickman, Jason Brown, and Ryan Song

(A) Data in the Life: Authorship Attribution in Lennon-McCartney Songs

Andrew W. Lo, Kien Wei Siah, and Chi Heem Wong

Machine Learning with Statistical Imputation for Predicting Drug Approvals

Supplementary Materials

Stepping Stones

Learning, Teaching, and Communication

Laura Haas, Alfred Hero, and Robert Lue

Highlights of the National Academies Report on "Undergraduate Data Science: Opportunities and Options”

An interview with Laura Haas and Alfred Hero by Robert Lue

Milestones and Millstones

Foundations, Theories, and Methods

Luciano Floridi and Josh Cowls

A Unified Framework of Five Principles for AI in Society

Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, and David Donoho

Ambitious Data Science Can Be Painless

Diving into Data

Mini tutorials on concepts, methods, and tools

Column Editor: David Hand

David Hand

What is the Purpose of Statistical Modelling?

Mining the Past

Brief histories of data science

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

Stephanie Dick

Artificial Intelligence

Bits and Bites

Radu V. Craiu