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Perspectives on Data and Data Science
What Are the Values of Data, Data Science, or Data Scientists?
by
Xiao-Li Meng
Statistical Science: Some Current Challenges
by
David R. Cox
,
Christiana Kartsonaki
, and
Ruth H. Keogh
Ten Research Challenge Areas in Data Science
by
Jeannette M. Wing
Connections
Commentaries (8):
Shivani Agarwal
•
Shuang Frost
& 4 others
•
Tamara Kolda
•
Victor S.Y. Lo
•
Sach Mukherjee
& 1 other
•
Robert Williamson
•
Bin Yu
•
Hongyu Zhao
Rejoinders (2):
Jeannette M. Wing
•
Xuming He
& 1 other
Challenges and Opportunities in Statistics and Data Science: Ten Research Areas
by
Xuming He
and
Xihong Lin
Connections
Commentaries (8):
Shivani Agarwal
•
Shuang Frost
& 4 others
•
Tamara Kolda
•
Victor S.Y. Lo
•
Sach Mukherjee
& 1 other
•
Robert Williamson
•
Bin Yu
•
Hongyu Zhao
Rejoinders (2):
Jeannette M. Wing
•
Xuming He
& 1 other
What Is Your List of 10 Challenges in Data Science?
by
Xiao-Li Meng
COVID-19: A Massive Stress Test With Many Unexpected Opportunities (for Data Science)
by
Xiao-Li Meng
Information and Uncertainty: Two Sides of the Same Coin
by
Xiao-Li Meng
Highlights of the Inaugural Data Science Leadership Summit
by
Jeannette M. Wing
and
David Banks
Data Have a Limited Shelf Life
by
Stephen M. Stigler
Doing Data Science: A Framework and Case Study
by
Sallie Ann Keller
,
Stephanie S. Shipp
,
Aaron D. Schroeder
, and
Gizem Korkmaz
Five Immersive 3D Surroundings of Data Science
by
Xiao-Li Meng
The Data Life Cycle
by
Jeannette M. Wing
Data Governance is Key to Interpretation: Reconceptualizing Data in Data Science
by
Sabina Leonelli
The Lives and After Lives of Data
by
Christine L. Borgman
Data Science: An Artificial Ecosystem
by
Xiao-Li Meng
Data Science in Times of Pan(dem)ic
by
Sabina Leonelli
Connections
Commentaries (7):
Timothy Francis Clement-Jones
•
Eric D. Kolaczyk
& 3 others
•
David Leslie
•
Nicolette Louissaint
•
Elizabeth L. Ogburn
•
Theodore M. Porter
•
Barbara Prainsack
Building Data Science Infrastructures and Infrastructural Data Science
by
Xiao-Li Meng
Data Science and Computing at UC Berkeley
by
Jennifer Chayes
Connections
Commentaries (5):
Munther A. Dahleh
•
David Madigan
•
S. Joe Qin
•
Hal S. Stern
& 2 others
•
Patrick J. Wolfe
Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley
by
Ani Adhikari
,
John DeNero
, and
Michael I. Jordan
Connections
Commentaries (10):
Allen B. Downey
•
Aleksandrina Goeva
& 3 others
•
Alan David Fekete
•
Alison L. Gibbs
& 1 other
•
Yolanda Gil
•
Brian Kim
•
Michael J. Franklin
& 1 other
•
Alfred Z. Spector
•
Dustin Tingley
•
Chris J. Wild
& 2 others
Rejoinders (1):
Ani Adhikari
& 2 others
Lessons From the ‘Data Exhaust’ of Plantation Slavery
by
Caitlin Rosenthal