Data science is rapidly changing the landscape of scientific research. Research leveraging
data science tools (hereafter, data science research) is increasingly widespread across …

Open science practices are now at the forefront of discussions in the applied linguistics
research community. Proponents of open science argue for its potential to enhance research …

Considerable debate exists today on almost every facet of what data science entails. Almost
all commentators agree, however, that data science must be characterized as having an …

Thorny problems in data (-intensive) science Page 1 30 COMMUNICATIONS OF THE ACM |
AUGUST 2020 | VOL. 63 | NO. 8 viewpoints dered invisible by disciplinary and organizational …

Visualization skills are now considered a core competency of business and data analytics.
This paper provides a detailed analysis of course descriptions, learning outcomes and …

The early 2010s saw the rise of “big data” and its handmaiden “data science,” novel
expertise promised to “coax treasure out of messy, unstructured data,” turning the exhaust of …

Hypothesis testing has come under fire in the past decade as misuses have become increas-
ingly visible. It is common to use tests whose assumptions don't reflect how the data were …

As emerging voices in the data science community, we see a lot of promise in the future of
the field and our roles in it. The articles by Jeannette Wing, Xuming He, and Xihong Lin …