There is growing interest in how to better prepare K–12 students to work with data. In this
article, we assert that these discussions of teaching and learning must attend to the human …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

The development of data science curricula has gained attention in academia and industry.
Yet, less is known about the pedagogical practices and tools employed in data science …

Names: Mercer, Neil, editor.| Wegerif, Rupert, 1959-editor.| Major, Louis,(Louis Christopher),
1985-editor. Title: The Routledge international handbook of research on dialogic …

Data provenance, a record that describes the origins and processing of data, offers new
promises in the increasingly important role of artificial intelligence (AI)-based systems in …

Increasingly larger number of software systems today are including data science
components for descriptive, predictive, and prescriptive analytics. The collection of data …

A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …

Let us start with an everyday story common to the world of internet users. It is April 2021 in
the United Kingdom. Thirty-year-old Lara is a healthy and active individual. In the evening …

Teams performing scientific research are becoming increasingly large and interdisciplinary.
While prior work has examined antecedents and performance implications of these trends, it …

The emerging field of Data Science has had a large impact on science and society. This has
led to over a decade of calls to establish a corresponding field of Data Science Education …