Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

Managing error has become an increasingly central and contested arena within data
science work. While recent scholarship in artificial intelligence and machine learning has …

This paper describes work practices at a public, non-profit healthcare business intelligence
unit involved in creating BI reports and sharing these with healthcare management and …

Background: This article reports on a study that investigated data professionals in health
care. The topic is interesting and relevant because of the ongoing trend towards digitisation …

Expectations about the economy and financial markets are often cast as figments of
imaginaries of the future. While the sociology of finance have predominantly dealt with …

Data driven decision making has become the gold standard in science, industry, and public
policy. Yet data alone, as an imperfect and partial representation of reality, is often …

Data scientists typically work with domain experts in a Data Science (DS) project, resulting in
knowledge gaps between roles. Communication holds an immense and difficult workload …

The world is evolving in a pace faster than ever, in terms of the ways in which human can
interact with the rest of the world virtually or physically. Our exploration together with Carl …

Within the last few decades, data science has risen towards the top of agendas in public
services such as adult social care. Concomitant with this ever-increasing appetite for data …

Data-driven decision-making has become the gold standard in science, industry, and public
policy. The trouble with data is that it frequently provides only an imperfect and partial …