Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …

With the rise of big data, there has been an increasing need for practitioners in this space
and an increasing opportunity for researchers to understand their workflows and design new …

Effective collaboration in data science can leverage domain expertise from each team
member and thus improve the quality and efficiency of the work. Computational notebooks …

With the rise of big data, there has been an increasing need to understand who is working in
data science and how they are doing their work. HCI and CSCW researchers have begun to …

Data science has been growing in prominence across both academia and industry, but there
is still little formal consensus about how to teach it. Many people who currently teach data …

Despite the excitement around" data science,"" big data," and" analytics," the ambiguity of
these terms has led to poor communication between data scientists and organizations …

The development of AI applications is a multidisciplinary effort, involving multiple roles
collaborating with the AI developers, an umbrella term we use to include data scientists and …

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 …

Data science (DS) projects often follow a lifecycle that consists of laborious tasks for data
scientists and domain experts (eg, data exploration, model training, etc.). Only till recently …

The demand for analyzing large scale telemetry, machine, and quality data is rapidly
increasing in software industry. Data scientists are becoming popular within software teams …