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Issue 2.1, Winter 2020
From the Editor-in-Chief
2020: A Very Busy Year for Data Science (and for
HDSR
)
by
Xiao-Li Meng
Issue 2.1 / Winter 2020
Panorama
Overviews, Visions, and Debates
Coming to Our Census: How Social Statistics Underpin Our Democracy (and Republic)
by
Teresa A. Sullivan
by
Margo J. Anderson
Historical Lessons: How Statistics Underpin Our Democracy
by
Thomas R. Belin
The U.S. Census as a Crucible for Trust in Government
by
Ray Chambers
Should the Census Have More Spine?
by
Constance F. Citro
Are We Up to the Challenges of Protecting Federal Statistics?
by
Reynolds Farley
The Importance of Census 2020 and the Challenges of Getting a Complete Count
by
Howard Hogan
Distrust in the Governments Brings Risk to the Census
by
Karen Kafadar
Statisticians’ Role in Ensuring Accuracy and Integrity of Federal Data
by
Dudley L. Poston, Jr.
The Decennial Census and Congressional Apportionment
by
Dennis Trewin
An Australian Perspective on Teresa Sullivan’s “Coming to Our Census”
“Coming to Our Census: How Social Statistics Underpin Our Democracy (and Republic)”: Author’s Response
by
Teresa A. Sullivan
Differential Privacy and Social Science: An Urgent Puzzle
by
Daniel L. Oberski
and
Frauke Kreuter
Should We Trust Algorithms?
by
David Spiegelhalter
P-Values on Trial: Selective Reporting of (Best Practice Guides Against) Selective Reporting
by
Deborah Mayo
The Research Data Alliance: Benefits and Challenges of Building a Community Organization
by
Francine Berman
and
Merce Crosas
An interview with Francine Berman by Mercè Crosas
Cornucopia
Impact, Innovation, and Knowledge Transfer
Doing Data Science: A Framework and Case Study
by
Sallie Ann Keller
,
Stephanie S. Shipp
,
Aaron D. Schroeder
, and
Gizem Korkmaz
How Confident Are We About Observational Findings in Health Care: A Benchmark Study
by
Martijn J. Schuemie
,
M. Soledad Cepeda
,
Marc A. Suchard
,
Jianxiao Yang
,
Yuxi Tian
,
Alejandro Schuler
,
Patrick B. Ryan
,
David Madigan
, and 1 more
Stepping Stones
Learning, Teaching, and Communication
The Role of Academia in Data Science Education
by
Rafael A. Irizarry
Milestones and Millstones
Foundations, Theories, and Methods
The
Age
of Secrecy and Unfairness in Recidivism Prediction
by
Cynthia Rudin
,
Caroline Wang
, and
Beau Coker
by
Shawn D. Bushway
“Nothing Is More Opaque Than Absolute Transparency”: The Use of Prior History to Guide Sentencing
by
Alexandra Chouldechova
Transparency and Simplicity in Criminal Risk Assessment
by
Sarah L. Desmarais
The Role of Risk Assessment in the Criminal Justice System: Moving Beyond a Return to the Status Quo
by
Brandon L. Garrett
Justice in Forensic Algorithms
by
Eugenie Jackson
and
Christina Mendoza
Setting the Record Straight: What the COMPAS Core Risk and Need Assessment Is and Is Not
by
Greg Ridgeway
Transparency, Statistics, and Justice System Knowledge Is Essential for Science of Risk Assessment
Broader Issues Surrounding Model Transparency in Criminal Justice Risk Scoring
by
Cynthia Rudin
,
Caroline Wang
, and
Beau Coker
Columns
Diving into Data
Mini Tutorials on Concepts, Methods, and Tools
Column Editor: David Hand
Why Is Data Visualization Important? What Is Important in Data Visualization?
by
Antony Unwin
Mining the Past
Brief Histories of Data Science
Column Co-Editors: Stephanie Dick and Christopher J. Phillips
Precision Medicine and Its Imprecise History
by
Christopher J. Phillips
Active Industrial Learning
Data Science for Industrial Leaders
Column Co-Editors: Alex Blocker and Katie Malone
When Translation Problems Arise Between Data Scientists and Business Stakeholders, Revisit Your Metrics
by
Katie Malone
Effective Policy Learning
Data Science for Policy Making and Makers
Column Co-Editors: Frauke Kreuter and Nancy Potok
Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project
by
Brian C. Moyer
and
Abe Dunn
Recreations in Randomness
Data Science for Leisure Activities
Column Editor: Mark Glickman
Oscar Seasons: The Intersection of Data and the Academy Awards
by
Ben Zauzmer