About the Centre
The use of advanced quantitative and computational methods to investigate research questions emerging from the humanities, arts, and social sciences presents many opportunities.
Computational methods allow researchers to use data and models to investigate social and cultural phenomena in novel ways and at previously impractical scales. Such efforts, in turn, stimulate methodological innovations and novel applications of existing methods.
The McGill Centre for Social and Cultural Data Science (CSCDS or “cascades” for short) is a multi-disciplinary community of scholars with a shared interest in developing advanced quantitative and computational methods, and applying them to research in the humanities and social sciences. We can achieve these aims best collaboratively, working as a single, cohesive community. As a result, our community consists of both researchers in the social and cultural sciences who seek to apply new techniques in their inquiries and those from quantitative disciplines with interests in discovering new applications, motivations, and contexts for their work.
We pursue this overarching vision by organizing activities and providing space and support that serve four goals:
Fostering methodological innovation in quantitative and computational analytics, and their application to research in the social sciences and humanities.
Providing training to increase interdisciplinary work and the collaboration between scholars in computer science, quantitative analysis, social sciences, and humanities.
Increasing methodological familiarity with quantitative and computational methods among social science and humanities researchers.
Critically reflecting on the ethical dilemmas and social ramifications of advanced analytic and computational methods.
We’re always looking for opportunities and new ways to serve our mission. If you’re interested in joining the Centre or have ideas for future Centre activities, please get in touch by cscds [at] mcgill.ca (email).