Data Science Research Programme
Social and Behavioural Sciences
The Faculty of Social and Behavioural Sciences brings together high-quality research and outstanding teaching in the disciplines of cultural anthropology, education and child studies, political science, psychology, science and technology studies, as well as in multidisciplinary approaches.
The shared essence of the Faculty’s teaching and research is that it is not pursued at some remove from society, but is instead closely and inextricably connected with it, precisely through the questions and subjects addressed. The Faculty has become a leading international centre for research and teaching in the social and behavioural sciences. The academic staff work with their students on questions relevant to larger society and often with immediate societal impact.
Data Science Research Projects
Stacked Domain Learning for multi-domain data: a new ensemble method
Wouter van Loon
The aim of this project is to develop accurate but interpretable ensemble learning methods for high-dimensional multi-domain data.
Understanding scientific progress by analysing the context of scholarly citations
The objective of this project is to fundamentally improve our understanding of the ways in which science progresses.
Interactive visual retrieval of academic literature
Juan Bascur Cifuentes
All scientists build science over the research of other scientists. Therefore, the literature search is one of the most important scientific tasks. The literature search can include several tasks, like finding the founding papers of an academic field or being updated with the latest publications. However, the current literature search tools focus only on one task: finding the most relevant papers for a given query. Any task different to this requires manual labor and expertise from the researcher, for example, by searching papers following the reference list of a set of given papers.