The Interpretive Data Science (IDeaS) Group is an emerging working group that was created to apply interpretive approaches to big data modeling and theorizing in the social sciences. IDeaS is collaborative and informally structured. We strive to approach the field of data science from an interdisciplinary and interstitial perspective by bringing together scholarly communities who do not normally interact with one another.
Our members are trying to push the boundaries of research in interpretative data science by combining quantitative and qualitative methodologies with emergent and more formalistic theorizing.
Through a combination of an analytical lens with a humanist approach, we intend on showcasing the field of data science in a brand new light. Our ultimate goal is to reinvigorate social sciences in a digital age so that foundational theories can continue to matter, as we live within and around AI and algorithms.
We aim to do so through the release of academic papers, blog posts, conferences, courses, and events centered around the subject of interpretative data science.
If you would like to apply to become a member in IDeaS then please fill out the registration form.