An Interpretive Approach to Data Science.
The Interpretive Data Science (IDeaS) Group is an emerging working group focused on rendering data, algorithms, and artifacts.
Research Focus
Our research aims to tackle three interrelated topics…
New Data Analytics Techniques in the Social Sciences
The reflexive and theoretically informed use of new data analytic techniques in the social sciences that leverage sophisticated algorithms such as topic modeling, natural language processing, and other forms of machine learning.
The Everyday Work of Data Analysts in Organizations
The everyday work of data analysts in organizations – how they construct knowledge practices, and the epistemic infrastructures of organizations; both as an interesting ethnographic and qualitative topic in its own right, and as a means of encouraging our own reflexivity.
The Societal Transformation Attending the Rise of Data
The societal, social, and cultural transformations attending the rise of data and analytics including changing forms and interpretations of privacy and governmentality – to which social scientists should be able to speak.