Francis Lee is associate professor of Technology and Social Change and senior researcher at the unit for Science, Technology and Society at Chalmers University of Technology in Gothenburg. His research focus lies on the politics of information infrastructures and knowledge production. Of particular concern for Lee is how information infrastructures—such as AI, algorithms, or big data—shape society. For instance he is interested in how disease outbreaks are constructed with algorithms, how AI is reshaping research practices of the biosciences, or how risky people are constructed and tracked using different types of information infrastructures.

In his research he asks questions such as: How are different objects and people valued and classified using information infrastructures? What new risk objects emerge with new infrastructures? How does the introduction of AI, algorithms, bioinformatics, or Big Data, reshape the production of these objects?

Lee has published widely often drawing on actor-network theory and ethnomethodology. His work has dealt empirically with for instance disease surveillance, large scale infrastructures, education, and biomedicine. He is the co-editor of Value Practices in the Life Sciences (Oxford University Press, 2015). Recent publications have dealt with for example how social scientists theorize algorithms , the problems of focusing on biased algorithms, the valuation of algorithms and Big Data, and the negotiation of different modes of sensing.

Lee has founded the international Algorithm Studies Network, which deals with the social study of computer algorithms. He has organized an international PhD summer school on algorithm studies, and has collaborated with international scholars from for instance Edinburgh University, École nationale supérieure des Mines de Paris, Lancaster University, Amsterdam University, Exeter University, and the University of Helsinki. He is also a member of the Editorial Board of the peer-reviewed journal Valuation Studies. His webpage is available at