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2019 HDSR Symposium
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Celebrating Sir David Cox
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Changing the Culture on Data Management and Data Sharing in Biomedicine
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Issue 1.1, Summer 2019
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Just Accepted
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Meta Data Science
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Milestones and Millstones
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Minding the Future
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Official Statistics from the Changing World of Data Science
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Reinforcing Reproducibility and Replicability
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Special Issue 1: COVID-19: Unprecedented Challenges and Chances
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Special Issue 2: Differential Privacy for the 2020 U.S. Census
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Stepping Stones
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World Migration and Displacement: Data, Disinformation, and Human Mobility
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Reetu Kumra
Published on Sep 05, 2023
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Costs and Benefits of Reproducibility in Finance and Economics
by
Toni Whited
5
Published on Jul 27, 2023
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Dessislava Pachamanova
Published on Sep 07, 2023
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From Left Behind to Left Out: Generative AI or the Next Pain of the Unconnected
by
Jean Louis Kedieng Ebongue Fendji
Published on Jan 30, 2024
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Software Engineering Practices in Academia: Promoting the 3Rs—Readability, Resilience, and Reuse
by
Andrew Connolly
,
Joseph Hellerstein
,
Naomi Alterman
,
David Beck
,
Rob Fatland
,
Ed Lazowska
,
Vani Mandava
, and
Sarah Stone
Published on Apr 27, 2023
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A Mapping Lens for Estimating Data Value
by
Abhishek Nagaraj
9
Published on Apr 02, 2024
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A New Paradigm for Polling
by
Michael A. Bailey
Published on Jul 27, 2023
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A Note on Knowing David Cox
by
Vernon Farewell
Published on Apr 27, 2023
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A Penny Synthesized is a Penny Earned? An Exploratory Analysis of Accuracy in the SIPP Synthetic Beta
by
Jordan Stanley
and
Evan Totty
Published on Jan 05, 2024
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A Practical Use Case: Lesson Learned From Social Science Research Data Centers
by
Stefan Bender
,
Jannick Blaschke
, and
Christian Hirsch
4
Published on Feb 26, 2024
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A Series of Virtual Interventions for Chronic Lower Back Pain: A Feasibility Pilot Study for a Series of Personalized (N-of-1) Trials
by
Mark Butler
,
Stefani D'Angelo
,
Melissa Kaplan
,
Zarrin Tashnim
,
Danielle Miller
,
Heejoon Ahn
,
Louise Falzon
,
Andrew J. Dominello
, and 4 others
29
Published on Sep 08, 2022
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Accommodating Serial Correlation and Sequential Design Elements in Personalized Studies and Aggregated Personalized Studies
by
Nicholas Schork
27
Published on Sep 08, 2022
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Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
by
Rachel Cummings
,
Damien Desfontaines
,
David Evans
,
Roxana Geambasu
,
Yangsibo Huang
,
Matthew Jagielski
,
Peter Kairouz
,
Gautam Kamath
, and 16 others
41
Published on Jan 16, 2024
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AI (Agnostic and Independent) Data Science: Is It Possible?
by
Xiao-Li Meng
2
Published on Jul 27, 2023
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AI and Generative AI for Research Discovery and Summarization
by
Mark Glickman
and
Yi Zhang
12
Published on Mar 28, 2024
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AI Safety Is as Narrative Problem
by
Rachel Coldicutt
Published
3 days ago
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AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
by
Q. Vera Liao
and
Jennifer Wortman Vaughan
15
Published on Feb 29, 2024
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Aleksandrina Goeva
Published on Oct 16, 2023
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An Instrumental Variable for Non-Ignorable Nonresponse
by
Shiro Kuriwaki
1
Published on Oct 03, 2023
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An Invisible Hand for Creating Public Value From Data
by
Julia Lane
,
Alfred Spector
, and
Michael Stebbins
20
Published on Apr 02, 2024
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An R Shiny App for a Chronic Lower Back Pain Study, Personalized N-of-1 Trial
by
Thevaa Chandereng
22
Published on Sep 08, 2022
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Ana Trisovic
Published on Oct 16, 2023
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Assessing the Prognostic Utility of Clinical and Radiomic Features for COVID-19 Patients Admitted to ICU: Challenges and Lessons Learned
by
Yuming Sun
,
Stephen Salerno
,
Ziyang Pan
,
Eileen Yang
,
Chinakorn Sujimongkol
,
Jiyeon Song
,
Xinan Wang
,
Peisong Han
, and 4 others
9
Published on Dec 20, 2023
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Bayesian Models for N-of-1 Trials
by
Christopher Schmid
and
Jiabei Yang
20
Published on Sep 08, 2022
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Building Trust: Data Metrics as a Focal Point for Responsible Data Stewardship
by
Iratxe Puebla
and
Daniella Lowenberg
9
Published on Apr 02, 2024
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Castles in the Sand?: How the Public Sector and Academia Can Partner in Regulatory Sandboxes to Help Leverage Generative AI for Public Good
by
Alex Moltzau
and
Robindra Prabhu
3
Published on Jan 02, 2024
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Cathy Huyghe
Published on Nov 20, 2023
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Causal Inference for Everyone
by
Iavor Bojinov
and
Francesca Dominici
Published on Jan 31, 2024
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Causation, Comparison, and Regression
by
Ambarish Chattopadhyay
and
José R. Zubizarreta
7
Published on Jan 31, 2024
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Celebrating the Life and Work of Sir David Cox
by
Jane L. Hutton
2
Published on Apr 27, 2023
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Challenges for Anomaly Detection in Large-Scale Cyber-Physical Systems
by
George Michailidis
2
Published on Mar 20, 2023
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Challenges in Adjusting a Survey That Overrepresents People Interested in Politics
by
Andrew Gelman
and
Gustavo Novoa
4
Published on Oct 03, 2023
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Close to Refuge: Integrating AI and Human Insights for Intervention and Prevention: A Conversation With Seema Iyer
by
Seema Iyer
,
Xiao-Li Meng
, and
Liberty Vittert
1
Published on Oct 27, 2023
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Conduct and Implementation of Personalized Trials in Research and Practice
by
Richard L. Kravitz
and
Naihua Duan
41
Published on Sep 08, 2022
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Continuing Implementation of the Foundations for Evidence-Based Policymaking Act of 2018: Who Is Using the Data?
by
Nancy Potok
17
Published on Oct 27, 2023
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Creating Engagements: Bringing the User Into Data Democratization
by
Lauren Chenarides
17
Published on Apr 02, 2024
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Crisis? What Crisis? Sociology’s Slow Progress Toward Scientific Transparency
by
Kim A. Weeden
6
Published on Oct 27, 2023
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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
25
Published on Jun 08, 2023
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D. R. Cox: Approach to Applied Statistics and the Importance of Being Sensible
by
Ruth H. Keogh
6
Published on Apr 27, 2023
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D. R. Cox: Extracts From a Memorial Lecture
by
Heather Battey
5
Published on Apr 27, 2023
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Dacheng Xiu
Published on Nov 20, 2023
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Data Citations and Reproducibility in the Undergraduate Curriculum
by
Diego Mendez-Carbajo
and
Alejandro Dellachiesa
1
Published on Jul 27, 2023
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Data Democratization: An Ecosystemic Contemplation and Coordination
by
Xiao-Li Meng
6
Published on Apr 02, 2024
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Data Journeys in Popular Science: Producing Climate Change and COVID-19 Data Visualizations at
Scientific American
by
Kathleen Gregory
,
Laura Koesten
,
Regina Schuster
,
Torsten Moeller
, and
Sarah Davies
9
Published on Mar 25, 2024
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Data Quality: Comments on “Statistics and Data Science for Cybersecurity”
by
Dennis K. J. Lin
1
Published on Mar 20, 2023
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Data Science at the Singularity
by
David Donoho
Published on Jan 29, 2024
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Data Science From Every Angle
by
David C. Parkes
1
Published on Oct 27, 2022
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Data Usage Information and Connecting With Data Users: U.S. Mandates and Guidance for Government Agency Evidence Building
by
Nancy Potok
3
Published on Apr 02, 2024
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David R. Cox: Some Reflections
by
Christiana Kartsonaki
8
Published on Apr 27, 2023
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Democratizing Data: Our Vision
by
Julia Lane
and
Nancy Potok
2
Published on Apr 02, 2024
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Demonstrations of the Potential of AI-based Political Issue Polling
by
Nathan E. Sanders
,
Alex Ulinich
, and
Bruce Schneier
20
Published on Oct 27, 2023
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Digital Transformation of Financial Regulators and the Emergence of Supervisory Technologies (SupTech): A Case Study of the U.K. Financial Conduct Authority
by
Pavle Avramović
18
Published on Apr 27, 2023
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Discerning Audiences Through Like Buttons
by
Carina Albrecht
8
Published on Jan 31, 2024
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Discovering Data Sets in Unstructured Corpora: Discovering Use and Identifying New Opportunities
by
Nick Pallotta
,
John M Locklear
,
Xiangyu Ren
,
Victor Robila
, and
Adel Alaeddini
15
Published on Feb 12, 2024
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Discovering Data Sets Through Machine Learning: An Ensemble Approach to Uncovering the Prevalence of Government-Funded Data Sets
by
Ryan Hausen
and
Hosein Azarbonyad
49
Published on Feb 15, 2024
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Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search
by
Katrina Sostek
,
Daniel M. Russell
,
Nitesh Goyal
,
Tarfah Alrashed
,
Stella Dugall
, and
Natasha Noy
31
Published on Feb 07, 2024
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Early Interactions With David Cox
by
Peter McCullagh
5
Published on Apr 27, 2023
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Enabling Responsible Artificial Intelligence Research and Development Through the Democratization of Advanced Cyberinfrastructure
by
Manish Parashar
2
Published on Dec 07, 2023
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Erica Groshen (2018–2021)
Published on Feb 24, 2023
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Fostering Better Coding Practices for Data Scientists
by
Randall Pruim
,
Maria-Cristiana Gîrjău
, and
Nicholas J. Horton
Published on Jul 27, 2023
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From Data Defects to Response Functions: A View From Particle Physics
by
Aurore Courtoy
and
Pavel Nadolsky
12
Published on Sep 28, 2023
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From Inspiration to Impact: Sir David Cox's Influence on My Research
by
Tengyao Wang
1
Published on Apr 27, 2023
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Frontline Data Science: Lessons Learned From a Pandemic
by
Emily A. Beck
,
Hannah Tavalire
, and
Jake Searcy
7
Published on Apr 27, 2023
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Government Interventions to Avert Future Catastrophic AI Risks
by
Yoshua Bengio
Published
3 days ago
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Hanti Lin
Published on May 08, 2023
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How Is ChatGPT’s Behavior Changing Over Time?
by
Lingjiao Chen
,
Matei Zaharia
, and
James Zou
Published on Mar 12, 2024
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Human Intelligence, Artificial Intelligence, and
Homo sapiens
Intelligence?
by
Xiao-Li Meng
Published on Oct 27, 2023
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Iavor Bojinov
Published on Mar 14, 2023
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In Honor of David Cox
by
Andrea Rotnitzky
1
Published on Apr 27, 2023
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In the Academy, Data Science Is Lonely: Barriers to Adopting Data Science Methods for Scientific Research
by
Elle O'Brien
and
Jordan Mick
7
Published on Feb 09, 2024
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Innovating a Centuries-Old Sport: How Emerging Data Analytics Tools Are Redefining Cricket
by
Kavya Mehul Shah
and
Ammaar Ahmed Saeed
6
Published on Apr 27, 2023
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Institutional Efforts to Help Academic Researchers Implement Generative AI in Research
by
Jing Liu
and
H. V. Jagadish
7
Published on Feb 26, 2024
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Interactions With Sir David R. Cox
by
Neil Shephard
Published on Apr 27, 2023
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Introducing Data Sciences to N-of-1 Designs, Statistics, Use-Cases, the Future, and the Moniker ‘N-of-1’ Trial
by
Karina Davidson
,
Ken Cheung
,
Ciaran Friel
, and
Jerry Suls
40
Published on Sep 08, 2022
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Is It Time for a New Paradigm in Biodiversity Monitoring? Lessons From Opinion Polling
by
Robin J. Boyd
7
Published on Sep 22, 2023
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Isabel Valera
Published on Mar 05, 2024
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Javin Pombra
Published on Oct 16, 2023
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Jennifer Chayes (2019–2021)
1
Published on Feb 24, 2023
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Jörg Drechsler
Published on Dec 20, 2023
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Kelly Blumenthal
Published on Oct 16, 2023
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Keyon Vafa
Published on Oct 16, 2023
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Lexing Xie
Published on May 24, 2023
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Looking at the Weather: The Politics of Meteorological Data
by
Elaine LaFay
6
Published on Jul 27, 2023
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Making Differential Privacy Work for Census Data Users
by
Cory McCartan
,
Tyler Simko
, and
Kosuke Imai
5
Published on Oct 27, 2023
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Memories of Sir David Cox: Friendship and Collaboration
by
Valerie Isham
1
Published on Apr 27, 2023
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Mengdi Wang
Published on Apr 10, 2024
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Methodological Context and Communication on Data Quality: Discussion of Bailey (2023)
by
John Eltinge
13
Published on Oct 06, 2023
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Michael Jordan (2018–2021)
Published on Feb 24, 2023
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Moving Forward With the U.S. Census Bureau’s Annual Population Estimates Post-2020
by
Victoria Velkoff
and
Christine Hartley
2
Published on Oct 27, 2022
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N-of-1 Trials, Their Reporting Guidelines, and the Advancement of Open Science Principles
by
Antony Porcino
and
Sunita Vohra
30
Published on Sep 08, 2022
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Natesh Pillai
Published on May 01, 2023
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Not Really a New Paradigm for Polling
by
Murray Edelman
5
Published on Oct 13, 2023
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On Democratizing Data: Diminishing Disparity and Increasing Scientific Productivity
by
Ophir Frieder
4
Published on Dec 07, 2023
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On Learnability Under General Stochastic Processes
by
Philip Dawid
and
Ambuj Tewari
19
Published on Oct 27, 2022
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On “A conversation with Sir David Cox”
by
Nancy Reid
4
Published on Apr 27, 2023
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Open Data and Code at the Urban Institute
by
Graham MacDonald
5
Published on Jul 27, 2023
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Paradigm Lost? Paradigm Regained? Comment on “A New Paradigm for Polling” by Michael A. Bailey
by
Walter Dempsey
14
Published on Oct 05, 2023
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Perils and Opportunities of ChatGPT: A High School Perspective
by
Nicole Lazar
,
James Byrns
,
Danielle Crowe
,
Meghan McGinty
,
Angela Abraham
,
Mike Guo
,
Megan Mann
,
Prithvi Narayanan
, and 3 others
12
Published on Oct 27, 2023
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Personalized Feedback for Personalized Trials: Construction of Summary Reports for Participants in a Series of Personalized Trials for Chronic Lower Back Pain
by
Stefani D'Angelo
,
Heejoon Ahn
,
Danielle Miller
,
Rachel Monane
, and
Mark Butler
24
Published on Sep 08, 2022
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Psephological Correlated Simulation Techniques With Decision Desk HQ: For the 2022 Midterms and Beyond
by
Sydney Louit
,
Mukul Ram
,
Kiel Williams
,
Alex Alduncin
,
Patrick McCaul
, and
Scott Tranter
57
Published on Oct 27, 2022
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Publishing Replication Packages: Insights From the Federal Reserve Bank of Kansas City
by
Courtney R. Butler
Published on Jul 27, 2023
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Reflection on David Cox
by
Thomas B. Berrett
1
Published on Apr 27, 2023
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Reflections on Sir David Cox
by
Dominik Rothenhäusler
2
Published on Apr 27, 2023
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Reinforcing Reproducibility and Replicability: An Introduction
by
Lars Vilhuber
,
Ian Schmutte
,
Aleksandr Michuda
, and
Marie Connolly
9
Published on Jul 27, 2023
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Rejoinder: The Emerging Role of Data Science in Cybersecurity
by
Alfred Hero
,
Soummya Kar
,
Jose Moura
,
Joshua Neil
,
H. Vincent Poor
,
Melissa Turcotte
, and
Bowei Xi
5
Published on Apr 20, 2023
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Remembering David Cox
by
Bradley Efron
Published on Apr 27, 2023
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Reproducibility in Economics: Status and Update
by
Hilary Hoynes
2
Published on Jul 27, 2023
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Reproducibility With Confidential Data: The Experience of BPLIM
by
Paulo Guimarães
3
Published on Jul 27, 2023
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Research Data Sharing Models: Examining Architecture and Governance
by
Maria I. Davila
,
Mary Hannah Currin
,
Allie Gartland-Gray
,
Heather L. Barnes
,
Ousmane Sow
,
Joanna O. Mieczkowska
,
Stanley C. Ahalt
,
Terrell Russell
, and 5 others
Published on Apr 02, 2024
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Resolving the Credibility Crisis: Recommendations for Improving Predictive Algorithms for Clinical Utility
by
Stephen Ruberg
,
Sandeep Menon
, and
Charmaine Demanuele
25
Published on Oct 27, 2023
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Ryan Rogers
Published on Nov 27, 2023
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Safeguarding Facts in an Era of Disinformation: The Case for Independently Monitoring the U.S. Statistical System
by
Jonathan Auerbach
20
Published on Jul 27, 2023
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Sara Stoudt
Published on Oct 16, 2023
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Scale, Publishing, and Open Data
by
Ian Mulvany
7
Published on Apr 02, 2024
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Scaling Up Mischief: Red-Teaming AI and Distributing Governance
by
Jacob Metcalf
and
Ranjit Singh
1
Published on Dec 13, 2023
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Searching for How Data Have Been Used: Intuitive Labels for Data Search and Discovery
by
Christina Zdawczyk
,
Julia Lane
,
Emilda Rivers
, and
May Aydin
5
Published on Mar 05, 2024
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Securing Distributed Wireless Edge Networks Via Information-Theoretic Security Approaches
by
Yingbin Liang
5
Published on Mar 20, 2023
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Seek a Paradigm and Distrust It? Statistical Arguments and the Representation of Uncertainty
by
Oliver L. Pescott
11
Published on Sep 19, 2023
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Shuang Lu Frost
Published on Oct 16, 2023
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Sir David Cox: A Few Memories
by
David Firth
Published on Apr 27, 2023
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Sir David Cox: Some Early Reminiscences
by
Agnes M. Herzberg
1
Published on Apr 27, 2023
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Sir David Cox—A Life Well Lived
by
Christl A. Donnelly
Published on Apr 27, 2023
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Sir David R. Cox: A Beautiful Mind With a Beautiful Heart
by
Joseph K. Blitzstein
3
Published on Apr 27, 2023
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Some Reminiscences of David Cox
by
A. C. Davison
2
Published on Apr 27, 2023
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Spinning Up a Data Science Initiative at Harvard
by
Francesca Dominici
,
Elizabeth Langdon-Gray
, and
David C. Parkes
8
Published on Oct 27, 2022
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Statistical Cybersecurity: A Brief Discussion of Challenges, Data Structures, and Future Directions
by
Francesco Sanna Passino
,
Niall M. Adams
,
Edward A.K. Cohen
,
Marina Evangelou
, and
Nicholas A. Heard
6
Published on Mar 20, 2023
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Teaching Introductory Statistics in a World Beyond “
p
< .05”
by
Catherine Case
7
Published on Jan 31, 2024
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The Birth of a New Discipline: Data Science Education
by
Koby Mike
,
Benny Kimelfeld
, and
Orit Hazzan
21
Published on Oct 27, 2023
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The Case for Data Archives at Journals
by
Timothy C. Salmon
3
Published on Jul 27, 2023
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The Family of Single-Case Experimental Designs
by
Leonard H. Epstein
and
Jesse Dallery
7
Published on Sep 08, 2022
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The Future of Data in Research Publishing: From Nice to Have to Need to Have?
by
Christine L. Borgman
and
Amy Brand
8
Published on Dec 21, 2023
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The Groundwater Crisis: The Need for New Data to Inform Public Policy
by
Nick Dudley Ward
6
Published on Jan 31, 2024
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The Impact of David Cox’s Work and Leadership on My Research
by
Chengchun Shi
2
Published on Apr 27, 2023
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The Importance of Philanthropic Foundations in Democratizing Data
by
Julia Lane
,
Stuart Feldman
,
Joshua Greenberg
,
Jonathan Sotsky
, and
Vilas Dhar
7
Published on Apr 02, 2024
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The Mean-ness of Statistics
by
Arunabh Ghosh
5
Published on Oct 27, 2022
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The Role of Sampling in Medicine
by
Pavlos Msaouel
4
Published on Sep 12, 2023
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The Turing Transformation: Artificial Intelligence, Intelligence Augmentation, and Skill Premiums
by
Ajay Agrawal
,
Joshua Gans
, and
Avi Goldfarb
6
Published on Feb 03, 2024
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The Use of Data Science in a National Statistical Office
by
Sevgui Erman
,
Eric Rancourt
,
Yanick Beaucage
, and
Andre Loranger
20
Published on Oct 27, 2022
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The View From Four Statistical Agencies
by
Nancy Potok
,
Peggy Carr
,
Hubert Hamer
,
Emilda Rivers
, and
Spiro Stefanou
25
Published on Apr 02, 2024
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The “Law of Large Populations” Does Not Herald a Paradigm Shift in Survey Sampling
by
Roderick J. Little
13
Published on Sep 27, 2023
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To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right
by
Eric Siegel
7
Published on Apr 27, 2023
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Toward a 'Standard Model' of Machine Learning
by
Zhiting Hu
and
Eric P. Xing
31
Published on Oct 27, 2022
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Transforming Curriculum and Building Capacity in K–12 Data Science Education
by
Travis Weiland
and
Christopher Engledowl
4
Published on Oct 27, 2022
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Trust and Physical Layer Security for 6G Cyber-Physical Systems
by
Arsenia Chorti
8
Published on Mar 20, 2023
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Turning Visions Into Reality: Lessons Learned From Building a Search and Discovery Platform
by
Attila Emecz
,
Arik Mitschang
,
Christina Zdawczyk
,
Maytal Dahan
,
Jeroen Baas
, and
Gerard Lemson
14
Published on Feb 08, 2024
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Understanding and Fostering Regional Artificial Intelligence Ecosystems: A Case Study in Maine
by
Hamit Hamutcu
,
Usama Fayyad
, and
Michael Pollastri
Published on Oct 27, 2023
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Understanding the Data in K-12 Data Science
by
Rotem Israel-Fishelson
,
Peter Moon
,
Rachel Tabak
, and
David Weintrop
7
Published on Mar 25, 2024
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We Must Fix the Lack of Transparency Around the Data Used to Train Foundation Models
by
Jack Hardinges
,
Elena Simperl
, and
Nigel Shadbolt
7
Published on Dec 13, 2023
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What Should Data Science Education Do With Large Language Models?
by
Xinming Tu
,
James Zou
,
Weijie Su
, and
Linjun Zhang
17
Published on Jan 19, 2024
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What Will It Take to Get to Acceptable Privacy-Accuracy Combinations?
by
Ori Heffetz
26
Published on Jun 24, 2022
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When Data Science Goes Wrong: How Misconceptions About Data Capture and Processing Causes Wrong Conclusions
by
Peter Christen
and
Rainer Schnell
13
Published on Jan 31, 2024
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Why and How We Share Reproducible Research at Yale University’s Institution for Social and Policy Studies
by
Limor Peer
8
Published on Jan 31, 2024
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Why Do I Get Side Effects? Personalized (N-of-1) Trials for Statin Intolerance and the Nocebo Effect
by
James Philip Howard
,
Frances A. Wood
, and
Darrel P. Francis
11
Published on Sep 08, 2022
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Yazhen Wang
1
Published on May 04, 2023
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“Yes We Can!”: A Practical Approach to Teaching Reproducibility to Undergraduates
by
Richard Ball
6
Published on Jul 27, 2023
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'The Art of Graphics Isn't Hard to Master' (pace Elizabeth Bishop)
by
Antony Unwin
3
Published on Jul 30, 2021
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(A) Data in the Life: Authorship Attribution in Lennon-McCartney Songs
by
Mark Glickman
,
Jason Brown
, and
Ryan Song
4
Published on Jul 02, 2019
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2019 Symposium
Published on Mar 13, 2020
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2020: A Very Busy Year for Data Science (and for
HDSR
)
by
Xiao-Li Meng
1
Published on Jan 31, 2020
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2024: A Year of Crises, Change, Contemplation, and Commemoration
by
Xiao-Li Meng
21
Published on Jan 31, 2024
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A Balanced Perspective on Prediction and Inference for Data Science in Industry
by
Nathan E. Sanders
2
Published on Jul 01, 2019
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A Call for Broader and Deeper Engagement in Data Science
by
Xuming He
and
Xihong Lin
Published on Sep 30, 2020
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A Chronicle of the Application of Differential Privacy to the 2020 Census
by
V. Joseph Hotz
and
Joseph Salvo
20
Published on Jun 24, 2022
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A Conversation About COVID-19 With Biostatisticians and Epidemiologists
by
David Banks
,
Susan S. Ellenberg
,
Thomas R. Fleming
,
M. Elizabeth Halloran
,
Andrew B. Lawson
, and
Lance Waller
Published on May 14, 2020
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