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=Data Science=

Involved People
Dr.-Ing. Tobias Käfer
Prof. Dr. Sanja Lazarova-Molnar
M.Sc. Ebrahim Norouzi
M.Sc. Nicholas Popovic
M.Sc. Zhan Qu
M.Sc. Fabian Rybinski
Prof. Dr. York Sure-Vetter
M.Sc. Angew. Inf. Meike Ullrich

SeminarSSData Science & Real-Time Big Data Analytics
SeminarSSGraph Representation Learning
SeminarSSKnowledge Discovery and Data Mining
VorlesungWSApplications of AI
VorlesungWSKnowledge Discovery
VorlesungSSSemantic Web Technologies

Active Projects

Publications Belonging to the Area of Research

Michael Färber, Jannik Schwade, Adam Jatowt
Measuring Variety, Balance, and Disparity: An Analysis of Media Coverage of the 2021 German Federal Election
arXiv, 2023

Michael Färber, Lin Ao
The Microsoft Academic Knowledge Graph Enhanced: Author Name Disambiguation, Publication Classification, and Embeddings
Quantitative Science Studies, Februar, 2022

Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), pages 9414, Mai, 2021

Michael Färber, Carsten Menne, Andreas Harth
A Linked Data Wrapper for CrunchBase
Semantic Web Journal, 9, (4), pages 505–5015, 2018

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Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev
Trustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, pages: 47–57, Association for Computing Machinery (ACM), April, 2021

Michael Färber
Analyzing the GitHub Repositories of Research Papers
Proceedings of the 20th ACM/IEEE Joint Conference on Digital Libraries (JCDL'20), ACM, Xi'an, China

Michael Färber, Victoria Burkard, Adam Jatowt, Lim Sora
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias
Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM'20), ACM, Galway, Ireland

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