Find out more about research projects at the University of Mannheim in our interview series Data Science Insights.

Research

The following research interests are represented at the Mannheim Center for Data Science:

Zwei Forschende schauen auf zwei Monitore, auf denen Codes zu sehen sind.

Photo credit: Anna Logue

Early Stage Diabetes Detection

The goal of the KI-DiabetesDetektion 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.

Photo credit: IAB

Combining Passive Mobile Data with Surveys

In several projects, we explore ways of combining passively collected data from smartphones with self-reports from users.

Photo credit: Christoph Kern

Using Machine Learning to Predict Panel Attrition

We use machine learning to identify predictors of participation and nonparticipation in longitudinal surveys.

Photo credit: Frauke Kreuter

Trust when Sharing Data Online

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.

Photo credit: Andreas Bayerl

From Data to Insights – Big Data Analytics in Business

“From Data to Insights” is a research area of the Chair of Quantitative Marketing and Consumer Analytics at the University of Mannheim.

Photo credit: Andreas Bayerl

Web-based Systems

We explore technical and empirical questions concerning the development of global, decentralized information environments.

Photo credit: Andreas Bayerl

Data Analytics

Our group's research focuses on systems and methods for analyzing and mining large datasets as well as their application in practice.

Photo credit: Andreas Bayerl

Natural Language Processing and Information Retrieval

The NLP and IR group at DWS conducts research on integrating knowledge from heterogeneous Web sources.

Photo credit: Andreas Bayerl

Artificial Intelligence

Our group conducts fundamental and applied research in knowledge representation formalisms with a focus on reasoning techniques for information extraction and integration.

Photo credit: Andreas Bayerl

Web Data Mining

We look on using structured and semi-structured web data as background knowledge in data mining problems.

Photo credit: UB Mannheim

Research Data Center of the Mannheim University Library

The Research Data Center of the University Library provides specialized data sets from the economic and social sciences, in particular company data.

Find out more about research projects at the University of Mannheim in our interview series Data Science Insights.

Research

Early Stage Diabetes Detection

Combining Passive Mobile Data with Surveys

Using Machine Learning to Predict Panel Attrition

Trust when Sharing Data Online

From Data to Insights – Big Data Analytics in Business

Web-based Systems

Data Analytics

Natural Language Processing and Information Retrieval

Artificial Intelligence

Web Data Mining

Research Data Center of the Mannheim University Library

Mannheim Center for Data Science (MCDS)

FORUM