Big Data Methods for Social Science and Policy - Interdisciplinary Workshop Programme
Big Data research is rapidly expanding in its contribution across the social sciences and in public policy. We now have the ability to draw on rich, varied and linked datasets as well as new forms of data on behaviour, mobility, and social processes via the internet, social media and sensor data, generated in large volumes and in real time. At the same time, innovations in data science, new computational technologies, and novel analytical methods have the potential to unlock the potential of these datasets. Applying these theories and methods also raises ethical issues, making interdisciplinary collaboration essential for the application of big data to social science questions.
This interdisciplinary workshop brought together Cambridge research expertise in areas such as quantitative sociology, biostatistics, computing, mathematics, psychology, law and history and philosophy of science in order to explore what methodological insight can be offered from research advances in these disciplines.
The meeting featured a series of short talks, in-depth discussions and networking opportunities, allowing the opportunity to develop new connections and ideas for the application of big data to solve big questions in social science, as well as the societal, political and ethical implications of these new methods.
Read the Big Data Workshop Summary at the Cambridge Public Policy SRI website.
Programme at a glance
Workshop Chair: Professor Anna Vignoles, Faculty of Education