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Computational Social Science

Lund Social Sciences Methods Centre

Computational methods in the social sciences are used to predict different social outcomes. They offer rigorous ways to analyse large dataset to detect patterns in very diverse types of data.

Person pointing at a laptop. Photo.
Computational methods offer advanced ways to analyse large dataset. Foto: Johan Persson

The computational pillar brings together researchers with an interest in using large unstructured data such as large amounts of text from social media, pictures, videos and sound to enrich our understanding of human cognition, opinion formation and behaviors.

Furthermore, the pillar wishes to bring together researches with an interest in natural language processing, machine learning, neural networks, network analysis and various machine learning techniques to enhance our understand human thoughts and behaviors.


Robert Klemmensen
Department of Political Science
robert [dot] klemmensen [at] svet [dot] lu [dot] se (robert[dot]klemmensen[at]svet[dot]lu[dot]se)