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.
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.
Coordinator
Robert Klemmensen
Department of Political Science
robert [dot] klemmensen [at] svet [dot] lu [dot] se (robert[dot]klemmensen[at]svet[dot]lu[dot]se)
Researchers affiliated to the area
See who they are in the Lund University’s research portal.