Charlie Lindgren is a Senior Lecturer in Informatics at Dalarna University, Sweden, where he teaches and conducts research in data analytics, digital business, and algorithmic decision-making. His research interests include the role of data-driven technologies in shaping markets, organizations, and consumer behavior, with a focus on the societal impact of digital transformation.
He earned his Ph.D. in Microdata Analysis and has extensive experience working with real-world datasets, advancing applied research, and designing teaching approaches that emphasize hands-on experimentation and critical thinking. His academic work often bridges technical methods with business and policy perspectives, contributing to a deeper understanding of how algorithms and data influence trade and innovation.
In 2025, Charlie is undertaking a teaching sabbatical at Arizona State University (ASU), supported by a fellowship from STINT (The Swedish Foundation for International Cooperation in Research and Higher Education). At ASU, he is contributing to undergraduate and graduate teaching in information systems and data science, while also fostering international collaborations in research and pedagogy.
- Ph.D. in Microdata Analysis, Dalarna University, Sweden
- M.Sc. in Economics, Umeå University, Sweden
- M.Sc. in Business and Economics (Civilekonom degree), Umeå University, Sweden
- B.Sc. in Statistics, Umeå University, Sweden
- B.Sc. in Economics, Umeå University, Sweden
- Algorithmic pricing and digital markets
- Data analytics and machine learning applications
- Consumer behavior and decision-making
- Financial and economic data analysis
- Digital transformation and innovation
- Sustainable and data-driven business models
- Ongoing projects on algorithmic pricing and the role of data-driven technologies in retail and digital markets
- Application of machine learning and statistical methods to financial and economic datasets
- Studies of consumer behavior and decision-making in data-intensive environments