Philipp Hartl, M.Sc.

Curriculum vitae

Philipp Hartl is a research associate at the Chair of Machine Learning and Uncertainty Quantification since July 2023. Previously, he worked as a software engineer at the 'Anstalt für Kommunale Datenverarbeitung Bayern' as well as the 'Nexis GmbH' in Regensburg. He holds a Master of Science in Media Informatics as well as a Bachelor of Arts in Media Informatics and Information Science. During his studies, he interned at Nexis GmbH in the area of Software Development and was active as a student teaching assistant at the University of Regensburg. During his free time, he also sporadically

Research Interests

• Human-Computer Interaction
• Natural Language Processing
• Digital Humanities

Publications

Hartl, P., Ha?ler, J., Manzke, L., Schmidbauer, E., Schnurr, D., & Tiefenbeck, V. (2024). Data Donations: Data Disclosure for the Common Good. Available at SSRN.

Weichart, M., & Hartl, P. (2024). Piece by Piece: Assembling a Modular Reinforcement Learning Environment for Tetris.

Hartl, P., & Kruschwitz, U. (2022, June). Applying Automatic Text Summarisation for Fake News Detection. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2702-2713).

Hartl, P., & Kruschwitz, U. (2021). University of Regensburg at CheckThat! 2021: Exploring Text Summarisation for Fake News Detection. CLEF (Working Notes), 2936, 508-519.

Schmidt, T., Hartl, P., Ramsauer, D., Fischer, T., Hilzenthaler, A. & Wolff, C. (2020). Acquisition and Analysis of a Meme Corpus to Investigate Web Culture. In Digital Humanities Conference 2020 (DH 2020). Virtual Conference.

Hartl, P., Fischer, T., Hilzenthaler, A., Kocur, M. & Schmidt, T., (2019). AudienceAR - Utilising Augmented Reality and Emotion Tracking to Address Fear of Speech. In: Alt, F., Bulling, A. & D?ring, T. (Eds.), Humans and Computers 2019 - Conference Proceedings. New York: ACM. DOI: 10.1145/3340764.3345380