Karl Werder (CV): Associate Professor, IT University of Copenhagen, Rued Langgaards Vej 7, 2300 Copenhagen S, Denmark, karw[at]itu.dk

Bio: Karl Werder is an associate professor at the Business-IT department of the IT University of Copenhagen. Previously, he was an assistant professor at the Cologne Institute for Information Systems of the University of Cologne and a senior researcher and pilot leader at paluno, the Ruhr Institute for Software Technology at the University of Duisburg-Essen, Germany. Karl received his doctoral degree in Information Systems from the Karlsruhe Institute of Technology. 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 experiences from working at IBM and Procter and Gamble.

Karl serves as an Associated Editor at the Communications of the Association for Information Systems and as an Editorial Review Board Member for Decision Sciences Journal. He was a visiting scholar at Laval University, CA in 2023 and at Georgia State University, US  in 2021 and 2019, served as an Associated Editor at several Information Systems conferences, and helped organize the Dagstuhl Seminar on Software Business, Platforms, and Ecosystems: Fundamentals of Software Production Research in 2018. He served as an ad-hoc reviewer for many leading journals in information systems, software engineering, and management, as well as independent research-supporting agencies such as US NSF and Rannís. Karl also provided his expert opinion to media outlets, such as IEEE Spectrum.

Karl's research interests focus on the development of digital technology, artificial intelligence for innovation, and organizing for digital innovation. His work has been published or is forthcoming in leading journals 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, Information & Software Technology), and management (e.g., California Management Review), among others. His teaching experiences include courses on Systems Analysis & Design, Fundamentals of Database Management Systems,  Statistics with R/Python, and Software Development & Programming.