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Anna Lund Sørensen is a Research Assistant at the University of Copenhagen, contributing to the Descriptive Representation (ODER) research project funded by the Carlsberg Foundation. Under the guidance of Frederik Hjorth, the project focuses on employing machine learning techniques to digitize data related to Danish elections at the candidate level, tracing back to the establishment of the Danish constitution in 1849. Her primary research interest involves examining voter reactions to political parties during the early democratic period in Denmark, with a special emphasis on the initial representation of women and workers. Anna holds a Master's Degree in Political Science from the University of Copenhagen and is involved in analyzing political behavior and processes within the context of social data science. Her work includes delivering content, extracting insights, and generating reports to understand service usage and access information effectively.
University of Copenhagen • Copenhagen, Denmark
Research Assistant involved in the Descriptive Representation project, focusing on machine learning applications for analyzing historical electoral data.
Focuses on clinical, social, and cognitive psychology.