Computational methods open up new research opportunities
GESIS conducts research on computational methods in order to provide high-quality research data for the social sciences and to increase the findability and analysis potential of this data in light of rapid changes in information and knowledge technologies and the ongoing digitization of society.
The aim of this research is to test, analyze, adapt, further develop, and evaluate novel methods, models, and algorithms in computer science for the provision of research infrastructures and methods in the social sciences. An important component of this research area is the development of digital behavioral data—such as data from social media or data generated by special research software—for social science research.
Data Quality
We conduct research to improve the quality, analytical potential, findability, and usability of research data.
To improve the quality, analytical potential, findability, and usability of research data, we conduct research on computer science methods in the fields of Natural Language Processing, Data and Network Science, Information Retrieval, and Human Computer Interaction.
Human Information Interaction & Information Retrieval
Research in the field of Human Information Interaction and Information Retrieval is concerned with how people search for, find, and use information – and how they can be better supported in doing so.
Data Science & Natural Language Processing (NLP)
Our research objective in the field of Data Science and Natural Language Processing (NLP) is the development of innovative methods and tools for the collection, utilization, processing, and analysis of research data.