AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component
of contemporary coding contexts. Among these environments, computational notebooks …

Purpose This study aims to provide a picture of the current state of art in the use of big data
for decision-making processes for the management of health-care organizations …

Working with data in table form is usually considered a preparatory and tedious step in the
sensemaking pipeline; a way of getting the data ready for more sophisticated visualization …

AutoML systems can speed up routine data science work and make machine learning
available to those without expertise in statistics and computer science. These systems have …

Automated Machine Learning (AutoML) technology can lower barriers in data work yet still
requires human intervention to be functional. However, the complex and collaborative …

Prior research on communicating with visualization has focused on public presentation and
asynchronous individual consumption, such as in the domain of journalism. The …

Natural language (NL) programming has become more approachable due to the powerful
code-generation capability of large language models (LLMs). This shift to using NL to …

We apply Lave & Wenger's construct of a community of practice to identify and position
members of the data work community of practice, focusing on members on the periphery …

Keeping up with the research literature plays an important role in the workflow of scientists–
allowing them to understand a field, formulate the problems they focus on, and develop the …

In recent years, there has been an increasing interest in using industrial data science (IDS)
in manufacturing companies. Structured IDS projects proceed according to process models …