Data Science Research at the University of Mannheim

Learn more about our research projects in the field of Data Science

In our 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

Interdisciplinary projects and offers

Joint project TransforMA

The TransforMA joint project between the University of Mannheim and Mannheim University of Applied Sciences is looking at various areas that are undergoing transformation processes in Mannheim and the Rhine-Neckar region. Among other things, interdisciplinary teams are working on technology demonstrators and easily accessible, AI-supported databases.

BERD@NFDI

BERD@NFDI is a research data infrastructure dedicated to transforming the way Business, Economic, and Related Data are managed. To the DSI-interviews with project staff Renat Shigapov and Andreas Hamann.

From Data to Insights

The analysis of large amounts of data in order to derive relevant management implications and achieve competitive advantages is a research focus of the Chair of Quantitative Marketing and Consumer Behaviour.

User and data bias in people ranking systems

The project, which is funded by the German Research Foundation (DFG), aims to contribute to the development of systems that adequately take into account the complexity of the assessment of individuals.

Early Stage Diabetes Detection

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. Read the DSI interview with project team member Rita Torres de Sousa.

Natural Language Processing and Information Retrieval

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

Data Analytics

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

Web-based Systems

The project explores technical and empirical questions concerning the development of global, decentralized information environments.

Web Data Mining

The research group looks on using structured and semi-structured web data as background knowledge in data mining problems.

Artificial Intelligence

The group conducts fundamental and applied research in knowledge representation formalisms with a focus on reasoning techniques for information extraction and integration. Read the DSI interview with project team member Lea Cohausz.

UNICON – Understanding Nutrition Inequalities in Context: Momentary and Persistent Processes

The GRF-funded project investigates how social inequality is reflected in social differences in nutritional behavior and provides clues for the design of behavioral interventions that can effectively reduce social inequalities in nutritional behavior.

Combining Passive Mobile Data with Surveys

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

Fairness in Automated Decision-Making

The project deals with discrimination and fairness of algorithm-based decision-making processes (Automated Decision-Making, ADM) in the German public sector. To the DSI-interview with project team member Christoph Kern.

Competence Center for Data Quality in the Social Sciences (KODAQS)

In this project, the University of Mannheim is working together with the LMU Munich and GESIS – Leibniz Institute for the Social Sciences on a learning, research and networking center for the quality-assured use of social science data. Read the DSI-interview with project team member Fiona Draxler.

Using Machine Learning to Predict Panel Attrition

This project pairs the implementation and testing of innovative prediction methodology from the field of machine learning with innovative treatments that can be assigned to likely nonrespondents. Read the Data Science Insights Interview with researcher John Collins.

Language corpora as digital educational technologies

The aim of the working group is to systematise approaches and concepts for the use of long-term available corpus infrastructures in teaching and learning in order to develop appropriate usage scenarios for different teaching contexts and to develop teaching and learning materials. To the DSI interview with project team member Laura Herzberg.