Abstract Analysis of data by humans can be a time-consuming activity and thus use of
sophisticated cognitive systems can be utilized to crunch this enormous amount of data …

This article explores the adoption of agile methods for the management of projects in
collaborative research initiatives. The use of the scrum framework, a specific set of agile …

In recent years there has been an increasing trend in which data scientists and domain
experts work together to tackle complex scientific questions. However, such collaborations …

This paper introduces a distinctive approach to methods development in digital social
research called 'interface methods'. We begin by discussing various methodological …

'Personalized medicine'might sound like the very antithesis of population science and public
health, with the individual taking the place of the population. However, in practice …

Genome science is rapidly shifting from research labs and biobanks to the clinical setting.
The resulting genomic big data, or large-scale networked genetic material, is a disruptive …

In this paper we advance team theory by describing how cognition occurs across the
distribution of members and the artifacts and technology that support their efforts. We draw …

Science is increasingly defined by multidimensional collaborative networks. Despite the
unprecedented growth of scientific collaboration around the globe–the collaborative turn …

As an established field of research, Computer Supported Cooperative Work or CSCW is now
well beyond its first quarter century of existence. It is an appropriate time to take stock: What …

Why healthcare cannot—and should not—become data-driven, despite the many promises
of intensified data sourcing. In contemporary healthcare, everybody seems to want more …