Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.

A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules
S.B. Kaltenpoth, A.M. Skolik, O. Müller, D. Beverungen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Don't Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System
S.B. Kaltenpoth, O. Müller, ACM SIGEnergy Energy Informatics Review 4 (2025) 16–22.

Positionspapier Use Case 1: Vernetzte Kulturplattformen
M. Althaus, D. Beverungen, B. Flath, H. Halimeh, P. Hansmeier, P. zur Heiden, D. Kundisch, M. Müller, O. Müller, S. Oberthür, C. Vorbohle, M. Momen Pour Tafreshi, S. Mauß, A. Mücke, J. Müller, M. Peter, A. Schmitt-Chandon, K. Sellerberg, M. Steinhäuser, Positionspapier Use Case 1: Vernetzte Kulturplattformen, Universität Paderborn, SICP, 2025.

Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling
D.R. Zapata Gonzalez, K. Brennig, K. Benkert, F. Schlosser, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 19–31.

Causal Machine Learning Approaches for Modelling Data Center Heat Recovery: A Physical Testbed Study
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: ACM SIGEnergy Energy Informatics Review, Association for Computing Machinery (ACM), 2025, pp. 4–10.

Designing taxi ridesharing systems with shared pick-up and drop-off locations: Insights from a computational study
M. Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation Research Part A: Policy and Practice (2024).

Not your Average Digital Nudge: Heterogeneous Effects of Personalized Nudges with CausalML
K. Bösch, O. Müller, M. Weinmann, in: Proceedings of the Symposium on Statistical Challenges in Electronic Commerce Research, 2024.

Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts
R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller, C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried, D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024) 1–1.

Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment
S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.

Digital Responsibility – a Multilevel Framework for Responsible Digitalization
D. Beverungen, D. Kundisch, M. Mirbabaie, O. Müller, G. Schryen, S.T.-N. Trang, M. Trier, Business &; Information Systems Engineering 65 (2023) 463–474.

Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time
D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

Event Recommendations through the Lens of Vision and Language Foundation Models
H. Halimeh, F. Freese, O. Müller, in: Workshop on Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems, 2023.

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features
H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency
K. Brennig, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?
K. Brennig, K. Benkert, B. Löhr, O. Müller, in: Business Process Management Workshops, 2023.

Implementing Digital Responsibility through Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research
D. Beverungen, P. zur Heiden, C. Lehrer, M. Trier, C. Bartelheimer, T. Bradt, B. Distel, P. Drews, J.F. Ehmke, H.-G. Fill, C.M. Flath, G. Fridgen, T. Grisold, C. Janiesch, A. Janson, O. Krancher, J. Krönung, D. Kundisch, A. Márton, M. Mirbabaie, S. Morana, B. Mueller, O. Müller, A.M. Oberländer, C. Peters, C. Peukert, M. Reuter-Oppermann, D.M. Riehle, S. Robra-Bissantz, M. Röglinger, K. Rosenthal, G. Schryen, R. Schütte, S. Strahringer, N. Urbach, L. Wessel, L. Zavolokina, P. Zschech, Implementing Digital Responsibility through Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research, Department of Information Systems, Paderborn University, 2023.

Using Geolocated Text to Quantify Location in Real Estate Appraisal
T. Heuwinkel, J.-P. Kucklick, O. Müller, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022.

Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal
J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems (2022).

Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing
B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, O. Müller, in: International Conference on Business Process Management, 2022.