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Issue 1.2, Fall 2019
From the Editor-in-Chief
Five Immersive 3D Surroundings of Data Science
by
Xiao-Li Meng
Issue 1.2 / Fall 2019
Panorama
Overviews, Visions, and Debates
Deep Policy Learning: Opportunities and Challenges From the Evidence Act
by
Nancy Potok
What Does It Take to Be a Successful Data Scientist?
by
Michael R. Berthold
Data Have a Limited Shelf Life
by
Stephen M. Stigler
Immersive Collaboration on Data Science for Intelligence Analysis
by
Alyson Wilson
,
Matthew Schmidt
,
Lara Schmidt
, and
Brent Winter
An interview with Alyson Wilson and Matthew Schmidt by Lara Schmidt and Brent Winter
Highlights of the Inaugural Data Science Leadership Summit
by
Jeannette M. Wing
and
David Banks
An interview with Jeanette M. Wing by David Banks
Cornucopia
Impact, Innovation, and Knowledge Transfer
Medications and Suicide: High Dimensional Empirical Bayes Screening (iDEAS)
by
Robert Gibbons
,
Kwan Hur
,
Jill Lavigne
,
Jiebiao Wang
, and
J. John Mann
Connections
Supplements (1):
Robert Gibbons
& 4 others
Stepping Stones
Learning, Teaching, and Communication
Data Science as a Foundation for Inclusive Learning
by
Robert A. Lue
Change Through Data: A Data Analytics Training Program for Government Employees
by
Frauke Kreuter
,
Rayid Ghani
, and
Julia Lane
Milestones and Millstones
Foundations, Theories, and Methods
Beyond Translation: Language Hacking and Philology
by
Gregory Crane
Uses and Reuses of Scientific Data: The Data Creators’ Advantage
by
Irene V. Pasquetto
,
Christine L. Borgman
, and
Morgan F. Wofford
Connections
Supplements (1):
Irene V. Pasquetto
& 2 others
Columns
Diving into Data
Mini Tutorials on Concepts, Methods, and Tools
Column Editor: David Hand
Data Linkage: The Big Picture
by
Peter Christen
Mining the Past
Brief Histories of Data Science
Column Co-Editors: Stephanie Dick and Christopher J. Phillips
The Bases of Data
by
Christopher J. Phillips
Bits and Bites
Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson From an Explainable AI Competition
by
Cynthia Rudin
and
Joanna Radin