In our monthly interview series Data Science Insights, we introduce you to one research project in the field of Data Science at the University of Mannheim every month.
Data Science Insights
The goal of the KI-Diabetes Detektion project is to integrate indication data from various sources in a knowledge graph and apply machine learning methods to improve the early stage detection of Diabetes.
In several projects, we explore ways of combining passively collected data from smartphones with self-reports from users.
We use machine learning to identify predictors of participation and nonparticipation in longitudinal surveys.
We conduct research on the willingness to share data online, the concerns users have when sharing their data, and how much they trust different organizations with their data.
“From Data to Insights” is a research area of the Chair of Quantitative Marketing and Consumer Analytics at the University of Mannheim.
We explore technical and empirical questions concerning the development of global, decentralized information environments.
Our group's research focuses on systems and methods for analyzing and mining large datasets as well as their application in practice.
The NLP and IR group at DWS conducts research on integrating knowledge from heterogeneous Web sources.
Our group conducts fundamental and applied research in knowledge representation formalisms with a focus on reasoning techniques for information extraction and integration.
We look on using structured and semi-structured web data as background knowledge in data mining problems.
The Research Data Center of the University Library provides specialized data sets from the economic and social sciences, in particular company data.
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