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Daniel Toll is an Assistant Professor at Linköping University, focusing on artificial intelligence and its applications in the public sector. His research is centered on how digital technologies, specifically robotic process automation (RPA), can alleviate the challenges faced by municipalities in Sweden, particularly concerning resource limitations and obligations to support citizens. Over the years, he has examined the integration of software robots within public processes, exploring the implications for co-workers, organizations, and society. His current licentiate thesis investigates the implementation of these technologies in Swedish municipalities and their outcomes. Toll's teaching responsibilities include the Bachelor’s programme in Information Systems Analysis and the Master programme in Management, where he delivers lectures, leads seminars, and supervises students' projects and theses.
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