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Issue 5.3, Summer 2023
From the Editor-in-Chief
AI (Agnostic and Independent) Data Science: Is It Possible?
by
Xiao-Li Meng
Issue 5.3 / Summer 2023
Panorama
Overviews, Visions, and Debates
A Conversation With Mercè Crosas
by
Merce Crosas
and
Xiao-Li Meng
An interview with Mercè Crosas by Xiao-Li Meng
Special Theme: Reinforcing Reproducibility and Replicability
Guest Editors: Lars Vilhuber, Ian Schmutte, Aleksandr Michuda, and Marie Connolly
Reinforcing Reproducibility and Replicability: An Introduction
by
Lars Vilhuber
,
Ian Schmutte
,
Aleksandr Michuda
, and
Marie Connolly
Costs and Benefits of Reproducibility in Finance and Economics
by
Toni Whited
The Case for Data Archives at Journals
by
Timothy C. Salmon
Reproducibility in Economics: Status and Update
by
Hilary Hoynes
Data Citations and Reproducibility in the Undergraduate Curriculum
by
Diego Mendez-Carbajo
and
Alejandro Dellachiesa
“Yes We Can!”: A Practical Approach to Teaching Reproducibility to Undergraduates
by
Richard Ball
Reproducibility With Confidential Data: The Experience of BPLIM
by
Paulo Guimarães
Open Data and Code at the Urban Institute
by
Graham MacDonald
Publishing Replication Packages: Insights From the Federal Reserve Bank of Kansas City
by
Courtney R. Butler
Cornucopia
Impact, Innovation, and Knowledge Transfer
Critical Data Challenges in Measuring the Performance of Sustainable Development Goals: Solutions and the Role of Big-Data Analytics
by
Mehrbakhsh Nilashi
,
Ooi Keng Boon
,
Garry Tan
,
Binshan Lin
, and
Rabab Abumalloh
Stepping Stones
Learning, Teaching, and Communication
Fostering Better Coding Practices for Data Scientists
by
Randall Pruim
,
Maria-Cristiana Gîrjău
, and
Nicholas J. Horton
Milestones and Millstones
Foundations, Theories, and Methods
Featured Discussion
A New Paradigm for Polling
by
Michael A. Bailey
by
Robin J. Boyd
Is It Time for a New Paradigm in Biodiversity Monitoring? Lessons From Opinion Polling
by
Aurore Courtoy
and
Pavel Nadolsky
From Data Defects to Response Functions: A View From Particle Physics
by
Walter Dempsey
Paradigm Lost? Paradigm Regained? Comment on “A New Paradigm for Polling” by Michael A. Bailey
by
Murray Edelman
Not Really a New Paradigm for Polling
by
John Eltinge
Methodological Context and Communication on Data Quality: Discussion of Bailey (2023)
by
Andrew Gelman
and
Gustavo Novoa
Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
by
Shiro Kuriwaki
An Instrumental Variable for Non-Ignorable Nonresponse
by
Roderick J. Little
The “Law of Large Populations” Does Not Herald a Paradigm Shift in Survey Sampling
by
Sharon L. Lohr
Assuming a Nonresponse Model Does Not Make It True
by
Pavlos Msaouel
The Role of Sampling in Medicine
by
Oliver L. Pescott
Seek a Paradigm and Distrust It? Statistical Arguments and the Representation of Uncertainty
Rejoinder: Building a Paradigm That Allows for the Possibility of Non-Ignorable Nonresponse
by
Michael A. Bailey
Columns
Effective Policy Learning
Data Science for Policy Making and Makers
Column Co-Editors: Nancy Potok and Nick Dudley Ward
Safeguarding Facts in an Era of Disinformation: The Case for Independently Monitoring the U.S. Statistical System
by
Jonathan Auerbach
Mining the Past
Brief Histories of Data Science
Column Co-Editors: Stephanie Dick and Christopher J. Phillips
Looking at the Weather: The Politics of Meteorological Data
by
Elaine LaFay