معرفی
Leif Sundberg serves as an Associate Professor (docent) in Informatics at Umeå University and maintains a part-time research position at Mid Sweden University. He is affiliated with the Department of Informatics at Umeå University and the Department of Communication, Quality Technology and Information Systems at Mid Sweden University. Dr. Sundberg holds leadership roles as Deputy Forum Leader for the Forum for Digitalization (FODI) and is an active member of the Risk and Crisis Research Centre (RCR) and the Swedish Center for Digital Innovation (SCDI).
His academic background includes BA degrees in Philosophy and Media & Communication Science from Umeå University, an MA in Education from Mid Sweden University, and a PhD in Information Systems completed at Mid Sweden University in 2019. He served as a postdoctoral researcher at Umeå University during 2021-2022, was appointed senior lecturer in January 2023, and received his docent (associate professor) qualification in September 2024.
Dr. Sundberg's research program centers on the complex relationship between digital technology and societal structures, particularly examining AI management, digital governance frameworks, and risk society dynamics. His work critically analyzes how digitalization transforms public sector values, decision-making processes, and risk landscapes, often employing philosophical perspectives to explore deeper implications of technological change in governance contexts. His research has made significant contributions to understanding the tensions between technological optimism and practical implementation challenges in government settings.
Analysis of his recent publication portfolio reveals several key research trajectories: the application of generative AI in government contexts with attention to resilience implications; critical examinations of government technology narratives and their relationship to uncertainty; investigations into the practical challenges of implementing machine learning in public sector environments; development of frameworks for understanding the digital risk society; exploration of citizen-centric approaches to digital government; and application of public value perspectives to enterprise architecture in government settings.
- Generative AI applications in government resilience
- Critical analysis of technology narratives in public administration
- Machine learning implementation challenges in public sector
- Digital risk society theoretical frameworks
- Citizen-centered digital government approaches
- Public value perspectives on government IT architecture
Dr. Sundberg's scholarly work has been published in prestigious journals including Government Information Quarterly, Safety Science, Journal of Strategic Information Systems, and Information Polity. His research has informed academic understanding of digital government strategies, e-participation mechanisms, and the philosophical dimensions of technological change in public administration, while also providing practical insights for policymakers and government practitioners.
As an educator, Dr. Sundberg has supervised students in the Industrial Organization and Economics program and has developed innovative approaches to teaching machine learning using no-code AI platforms. He currently serves as an international contact person at the Department of Informatics, facilitating global academic collaborations, and participates actively in the GovTech Challenges graduate school, contributing to the development of next-generation digital government researchers and practitioners.
