Data Science/en

=Data Science=

Involved People

Dr. Michael Färber

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

Teaching

Type	Term	Name	Link
Seminar	SS	Data Science & Real-Time Big Data Analytics	Lehre/Praktikum Data Science & Real-time Big Data Analytics
Seminar	SS	Graph Representation Learning	Lehre/Seminar Graph Representation Learning
Seminar	SS	Knowledge Discovery and Data Mining	Lehre/Seminar Knowledge Discovery and Data Mining
Vorlesung	WS	Applications of AI	Lehre/Vorlesung Anwendungen der Künstlichen Intelligenz
Vorlesung	WS	Knowledge Discovery	Lehre/Vorlesung Knowledge Discovery
Vorlesung	SS	Semantic Web Technologies	Lehre/Vorlesung Semantic Web Technologies

Active Projects

KIWI External Link: https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/kiwi.html

SDC MoMaF External Link: https://momaf.scc.kit.edu/

SofDCar External Link: https://www.sofdcar.de

Publications Belonging to the Area of Research

article

 - inproceedings

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Article

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

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

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
(Details)

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

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inproceedings

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
(Details)

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
(Details)

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
(Details)

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