Dr. Moritz von Zahn

RuW, Office 2.263
vzahn(at)wiwi.uni-frankfurt.de

Biography

Dr. Moritz von Zahn is a researcher at the Institute of Information Systems and Information Systems at Goethe University Frankfurt. His research primarily builds upon quantitative empirical methods and studies the application, development, and impact of artificial intelligence (AI). Moritz has published his research in journals such as Information Systems Research and Marketing Science. In his recent projects, he explores the use of causal machine learning and explainable AI to solve business and societal problems in real-world settings.

Moritz joined the institute in February 2021 and completed his PhD in Information Systems under the supervision of Oliver Hinz in the summer of 2024 with highest distinction. He holds both a Bachelor and a Master of Science in Industrial Engineering from the Karlsruhe Institute of Technology (KIT). During his studies, he spent time as a visiting student or researcher at institutions including the Universidad Nacional Autónoma de México (UNAM) in Mexico City, Instituto Superior Técnico (IST) in Lisbon, ETH Zurich in Switzerland, and Boston University (BU) in the US. In addition, he gained extensive practical experience through roles at companies such as Robert Bosch GmbH, Swisscom AG, Payback GmbH, and McKinsey & Company.

Interests
  • Causal Machine Learning
  • Fair & Explainable AI
  • Recommender Systems
Scientific Awards
  • WISE Best Paper Award
  • Best Dissertation within Faculty (Foit Foundation)
  • INFORMS Best Paper Award in "Information Systems Research"
  • AIS Best Information Systems Publication Award
  • Finalist of INFORMS Gary-Lilien-Practice Prize Competition
Publications

von Zahn, Moritz / Güler, Arda / Bauer, Kevin / Hinz, Oliver (2025): "Pushing to the limit? Personalizing Moblie Push Notification Frequencies.", Workshop on Digitial Markets (WDM) 2025, Rotterdam, Netherlands.

von Zahn, Moritz / Zacharias, Jan / Lowin, Maximilian / Chen, Johannes / Hinz, Oliver (2025): "Navigating AI conformity: A design framework to assess fairness, explainability, and performance", Electronic Markets, 35(24). [View]

Bauer, Kevin / von Zahn, Moritz / Hinz, Oliver (2024): "Knowing (not) to know: XAI, task delegation, and human metaknowledge", Workshop on Information Systems and Economics (WISE).

von Zahn, Moritz / Güler, Arda / Bauer, Kevin / Hinz, Oliver (2024): "Causal Targeting for Mobile Push Notifications.", Workshop on Information Technologies and Systems (WITS) 2024, Bangkok, Thailand.

von Zahn, Moritz / Güler, Arda / Bauer, Kevin / Hinz, Oliver (2024): "Causal Targeting for Mobile Push Notifications.", Causal Data Science Meeting (CDSM).

von Zahn, Moritz / Güler, Arda / Bauer, Kevin / Hinz, Oliver (2024): "Pushing to the limit? Causal vs. predictive targeting for mobile notifications.", Statistical Challenges in Electronic Commerce Research (SCECR) 2024, Lisbon, Portugal.

von Zahn, Moritz / Bauer, Kevin / Mihale-Wilson, Cristina / Jagow, Johanna / Speicher, Maximilian / Hinz, Oliver (2024): "Smart Green Nudging: Reducing Product Returns through Digital Footprints and Causal Machine Learning", Marketing Science, forthcoming. [View]

von Zahn, Moritz / Hinz, Oliver / Feuerriegel, Stefan (2023): "Locating disparities in machine learning", IEEE International Conference on Big Data (IEEE BigData 2023) [View]

Bauer, Kevin / von Zahn, Moritz / Hinz, Oliver (2023): "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing", Information Systems Research, 34(4), 1582-1602. [View]

Hinz, Oliver / Lowin, Maximilian / Oz, Dana / Reichman, Shachar / Somech, Iris / von Zahn, Moritz (2023): "An Experimental Analysis of Profit Maximizing Recommendation Systems", Workshop on Information Systems and Economics (WISE) 2023.

Hinz, Oliver / Lowin, Maximilian / Oz, Dana / Reichman, Shachar / Somech, Iris / von Zahn, Moritz (2023): "Incorporating Large Language Models into Product Recommender Systems", Workshop on Intelligent Agents and their Interplay within Service at ICIS 2023.

Zacharias, Jan / von Zahn, Moritz / Chen, Johannes / Hinz, Oliver (2022): "Designing a Feature Selection Method based on Explainable Artificial Intelligence", Electronic Markets, 32(4), 2159-2184. [View]

Hinz, Oliver / Lowin, Maximilian / Reichman, Shachar / von Zahn, Moritz (2022): "An Experimental Analysis of Profit Maximizing Recommendation Systems", Conference on Digital Experimentation (CODE@MIT) 2022.

Kellner, Domenic / Lowin, Maximilian / von Zahn, Moritz / Chen, Johannes (2021): "Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs", INFORMATIK 2021, Gesellschaft für Informatik, Bonn, Germany, S. 1255-1260. [View]

von Zahn, Moritz / Feuerriegel, Stefan / Kühl, Niklas (2021): "The cost of fairness in AI: Evidence from e-commerce", Business & Information Systems Engineering (BISE), 64(3), 335–348. [View]

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