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Editor’s Column

How Can We Make Data Science Even More Valuable?

by Francesca Dominici

Published: Apr 28, 2022

Issue 4.2 / Spring 2022

Kaleidoscopic Data Science

by David C. Parkes

Published: Jan 27, 2022

Issue 4.1 / Winter 2022

Is “Official” Statistics Ready to Embrace the (Still) “Unofficial” World of Data Science?

by Francesca Dominici

Published: Oct 28, 2021

Issue 3.4 / Fall 2021

Data Science: A Happy Marriage of Quantitative and Qualitative Thinking?

by Xiao-Li Meng

Published: Jul 30, 2021

Issue 3.3 / Summer 2021

Introducing the Interim Co-Editors-in-Chief

by Francesca Dominici and David C. Parkes

Published: Jul 30, 2021

Issue 3.3 / Summer 2021

Building Data Science Infrastructures and Infrastructural Data Science

by Xiao-Li Meng

Published: Apr 30, 2021

Issue 3.2 / Spring 2021

What Are the Values of Data, Data Science, or Data Scientists?

by Xiao-Li Meng

Published: Jan 29, 2021

Issue 3.1 / Winter 2021

Reproducibility, Replicability, and Reliability

by Xiao-Li Meng

Published: Oct 29, 2020

Issue 2.4 / Fall 2020

What Is Your List of 10 Challenges in Data Science?

by Xiao-Li Meng

Published: Jul 30, 2020

Issue 2.3 / Summer 2020

COVID-19: A Massive Stress Test With Many Unexpected Opportunities (for Data Science)

by Xiao-Li Meng

Published: May 14, 2020

Special Issue 1: COVID-19: Unprecedented Challenges and Chances

Information and Uncertainty: Two Sides of the Same Coin

by Xiao-Li Meng

Published: Apr 30, 2020

Issue 2.2 / Spring 2020

2020: A Very Busy Year for Data Science (and for HDSR)

by Xiao-Li Meng

Published: Jan 31, 2020

Issue 2.1 / Winter 2020

Five Immersive 3D Surroundings of Data Science

by Xiao-Li Meng

Published: Nov 01, 2019

Issue 1.2 / Fall 2019

Data Science: An Artificial Ecosystem

by Xiao-Li Meng

Published: Jul 01, 2019

Issue 1.1 / Summer 2019