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Data Science for Governing and Policy Making
An Interview With Murray Edelman on the History of the Exit Poll
by
Murray Edelman
,
Liberty Vittert
, and
Xiao-Li Meng
An interview with Murray Edelman by Liberty Vittert and Xiao-Li Meng
Understanding the Quality of the 2020 Census Is Essential
by
John Thompson
Recombination: A Family of Markov Chains for Redistricting
by
Daryl DeFord
,
Moon Duchin
, and
Justin Solomon
The Politics of COVID-19: Partisan Polarization About the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All
by
John Sides
,
Chris Tausanovitch
, and
Lynn Vavreck
SCRAM: A Platform for Securely Measuring Cyber Risk
by
Leo de Castro
,
Andrew W. Lo
,
Taylor Reynolds
,
Fransisca Susan
,
Vinod Vaikuntanathan
,
Daniel Weitzner
, and
Nicolas Zhang
Error, Uncertainty, and the Shifting Ground of Census Data
by
Dan Bouk
Implementing Differential Privacy: Seven Lessons From the 2020 United States Census
by
Michael B. Hawes
Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project
by
Brian C. Moyer
and
Abe Dunn
Coming to Our Census: How Social Statistics Underpin Our Democracy (and Republic)
by
Teresa A. Sullivan
Connections
Commentaries (9):
Margo J. Anderson
•
Thomas R. Belin
•
Ray Chambers
•
Constance F. Citro
•
Reynolds Farley
•
Howard Hogan
•
Karen Kafadar
•
Dudley L. Poston, Jr.
•
Dennis Trewin
Rejoinders (1):
Teresa A. Sullivan
Change Through Data: A Data Analytics Training Program for Government Employees
by
Frauke Kreuter
,
Rayid Ghani
, and
Julia Lane
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
Deep Policy Learning: Opportunities and Challenges From the Evidence Act
by
Nancy Potok
Disclosure Avoidance and the 2020 Census: What Do Researchers Need to Know?
by
Erica L. Groshen
and
Daniel Goroff
A Chronicle of the Application of Differential Privacy to the 2020 Census
by
V. Joseph Hotz
and
Joseph Salvo
Differential Privacy and Social Science: An Urgent Puzzle
by
Daniel L. Oberski
and
Frauke Kreuter
Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy
by
danah boyd
and
Jayshree Sarathy
Connections
Commentaries (1):
Christopher T. Kenny
& 5 others
Rejoinders (1):
danah boyd
& 1 other
Transparent Privacy Is Principled Privacy
by
Ruobin Gong
What Will It Take to Get to Acceptable Privacy-Accuracy Combinations?
by
Ori Heffetz
Reflections on Brummet et al. and Asquith et al.
Private Numbers in Public Policy: Census, Differential Privacy, and Redistricting
by
Aloni Cohen
,
Moon Duchin
,
JN Matthews
, and
Bhushan Suwal
The Effect of Differentially Private Noise Injection on Sampling Efficiency and Funding Allocations: Evidence From the 1940 Census
by
Quentin Brummet
,
Edward Mulrow
, and
Kirk Wolter
Connections
Commentaries (1):
Ori Heffetz
The 2020 Census Disclosure Avoidance System TopDown Algorithm
by
John M. Abowd
,
Robert Ashmead
,
Ryan Cumings-Menon
,
Simson Garfinkel
,
Micah Heineck
,
Christine Heiss
,
Robert Johns
,
Daniel Kifer
, and 6 more
Disclosure Protection in the Context of Statistical Agency Operations: Data Quality and Related Constraints
by
John Eltinge
Assessing the Impact of Differential Privacy on Measures of Population and Racial Residential Segregation
by
Brian Asquith
,
Brad Hershbein
,
Tracy Kugler
,
Shane Reed
,
Steven Ruggles
,
Jonathan Schroeder
,
Steve Yesiltepe
, and
David Van Riper
Connections
Commentaries (1):
Ori Heffetz
Response to Kenny et al.’s Commentary
by
danah boyd
and
Jayshree Sarathy