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Quantitative and Computational Social Science (QCSS)

Today the vast amount of digital data produced as a byproduct of our daily activities on digital platforms are harnessed and analysed using advanced statistical methods and machine learning to answer old and new social science questions. In addition, online experiments have become a key methodological tool in social science, which has resulted in notable opportunities to address core sociological questions. These innovative methods, advanced within quantitative and computational social science (QCSS), are actively expanding and re-shaping sociological enquiry. The QCSS research group studies innovation, environment-society interactions, crowd-sourcing, social discrimination, collective intelligence, conflict and collaboration, the sociology of machines, and online dating - among other topics. We use methods such as agent-based and mathematical modelling, large-scale quantitative surveys, network analysis, machine learning, and online, field, and natural experiments.

UCD School of Sociology

Newman Building (Room D401), University College Dublin, Belfield, Dublin 4, Ireland.
T: +353 1 716 8263