Master Students
Student Research Assistants
Master Theses Students
Data Science Project Students

Tilman Hornung

M.Sc. Social and Economic Data Science, University of Konstanz

Tilman Hornung has a Bachelor's degree in Psychology from the University of Trier. He wrote his Bachelor's thesis on an own theory of surprise. He is interested in using state of the art methods of Data Science for a greater good.

Contact:

Nikhila Joshy

M.Sc. Computer Science, University of Konstanz

Nikhila Joshy has a Bachelor's degree in Computer science and wrote her Bachelor's thesis on Multimodal biometric watermarking. She is interested in Data Science specialization. She is interested in studying the development of human behaviour by applying statistical, ML, and NLP methods.

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Niloofar Rahmati

M.Sc. Social and Economic Data Science, University of Konstanz

Niloofar Rahmati holds a Master's degree in Mathematics from Free University of Berlin. She applied combinatorial optimisation to develop an algorithm to find (sub/)optimal paths within a graph given some input criteria. She is interested in studying the development of human behaviour by applying statistical, ML, and NLP methods.

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Áron Sármány

M.Sc. Social and Economic Data Science, University of Konstanz

Áron Sármány received a Bachelor's degree in Applied Economics from Eötvös Loránd University in Hungary. Áron's main research areas of interest are urban and transportation economics. He is particularly interested in statistical analysis and web data collection in this area.

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Junran Yang

M.Sc. Computer Science, University of Konstanz

Junran Yang received Bachelor's degree in Software Engineering from Sun Yat-sen University in China. Junran's research areas of interest include data mining and deep learning applications. He is also interested in interdisciplinary application between computer science and social science.

Contact:

Jerome Wassmuth

M.Sc. Social and Economic Data Science, University of Konstanz

Context Sensitive Media Bias Classification

Elisabeth Richter

M.Sc. Social and Economic Data Science, University of Konstanz
Supervisor

Improving the Detection of Media Bias: Evaluating Bias-Inducing Features to Increase the Accuracy of Bias Classification

Tilman Hornung

M.Sc. Social and Economic Data Science, University of Konstanz
Supervisor

Putting Media Bias Research into Practice via an Annotation App

Rahkakavee Baskaran

M.Sc. Social and Economic Data Science, University of Konstanz
Second supervisor | Main supervisor: Susumu Shikano

Extraction of Skill Categories from German Job Postings Using Nature Language Processing

Gunda Ehmke

M.Sc. Social and Economic Data Science, University of Konstanz
Second supervisor | Main supervisor: Andreas Spitz

Generating Gender-neutral Language Using Semi-supervised Learning

Felix Blochwitz

M.Sc. Social and Economic Data Science, University of Konstanz
Supervisor

What media bias really means - an analysis of lexical bias features in human-annotated news

Jack Krueger

M.Sc. Social and Economic Data Science, University of Konstanz
Supervisor

Detection of Bias in News Media Headlines

Jerome Wassmuth

M.Sc. Social and Economic Data Science, University of Konstanz

Computational methods for media bias detection: A literature review

Kate Hahn-Madole

M.Sc. Social and Economic Data Science, University of Konstanz

Analyzing “worthiness” of mass shooting victims in news coverage

David Krieger

M.Sc. Social and Economic Data Science, University of Konstanz

Domain-adaptive pretraining of transformer model for the biased language detection in news articles

Ph.D.

Frederik Gremler

Politics and Public Administration, University of Konstanz
Second supervisor | Main supervisor: Nils Weidmann

Ethnic Organization on Digital Media.