Karl Werder is an Associate Professor in the Section Digital Business Innovation of the IT University of Copenhagen, DK, where he is the Co-head of the Master's Programme in Digital Innovation & Management. Previously, he was an assistant professor at the Cologne Institute for Information Systems of the University of Cologne, DE and a senior researcher at paluno, the Ruhr Institute for Software Technology at the University of Duisburg-Essen, DE. Karl received his doctoral degree in Information Systems from the Karlsruhe Institute of Technology, DE. He graduated with a master's degree in Business Informatics from Utrecht University, NL. He also holds a bachelor's degree in Computer Science, is a certified IT specialist, and has professional experience from working at IBM and Procter & Gamble.

Karl serves as an Associate Editor at the Communications of the Association for Information Systems and Business & Information Systems Engineering Journal and as an editorial review board member for the Decision Sciences Journal. He has been a visiting scholar at Laval University, CA (2023) and at Georgia State University, US (2019, 2021). He served as an associated editor and track chair at several Information Systems conferences and helped organize the Dagstuhl Seminar on Software Business, Platforms, and Ecosystems: Fundamentals of Software Production Research in 2018. Karl served as an ad-hoc reviewer for many leading research journals in information systems, software engineering, and management, and independent research-supporting agencies such as the ERC, US NSF, and Rannís. He also provided his expert opinion to media outlets, such as IEEE Spectrum and BLOG@CACM.

Karl investigates sociotechnical tensions of digital innovation, that is, why and how AI's inherent properties simultaneously enable and constrain performance of and within organizations. For example, the autonomy that enables algorithmic systems to augment organizational decision-making is the same autonomy that generates resistance and erodes trust among users and experts alike. More specifically, his research interests focus on artificial intelligence for decision making, systems development for performance, and organizing for digital innovation. His work has been published or is forthcoming in leading outlets from information systems (e.g., Journal of Management Information Systems, Journal of the Association for Information Systems, Journal of Strategic Information Systems), software engineering (e.g., IEEE Transactions on Software Engineering, Communications of the ACM, Information & Software Technology), and management (e.g., California Management Review), among others. His teaching portfolio includes courses on  Managing Business Analytics, Systems Analysis & Design, Database Systems, Enterprise Systems, and Statistics.

More details are in my Google Scholar and ORCID profiles.