Jan Mendling - Threats to Validity of Algorithmic Designs

Algorithmic designs play an increasingly important role in information systems research. Their recent uptake in relation to artificial intelligence emphasizes the need for systematic methodological reflection to ensure that findings are robust and meaningful. In this talk, we provide a comprehensive discussion of threats to validity of algorithmic designs. Building on the methodological framework of algorithm engineering, we analyze nine distinct validity concerns and examine how they apply across different streams of information systems research. 

Jan Mendling is the Einstein-Professor of Process Science with the Department of Computer Science at Humboldt-Universität zu Berlin, Germany. He is also adjunct professor with Vienna University of Economics and Business, Austria, Principle Investigator at the Weizenbaum Institute, Berlin, Germany, and Co-Founder of Noreja Intelligence GmbH. His research interests include various topics in the area of business process management and information systems. He has published more than 500 research papers and articles, among others in Management Information Systems Quarterly, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Journal of the Association of Information Systems, European Journal of Information Systems, Information Systems, and Decision Support Systems. He is the founding co-Editor-in-Chief of Process Science and co-author of the textbooks Fundamentals of Business Process Management, Second Edition, and Wirtschaftsinformatik, 12th Edition.