Francis Lee

I am an Associate Professor working at the Division of Science, Technology, and Society at Chalmers University of Technology in Sweden. My main research interests focus on how knowledge infrastructures—such as algorithms, AI, and big data—reshape knowledge production in both society and science. I have conducted research on how algorithms for pandemic surveillance shape how we understand and manage disease. I am currently leading a project that investigates the impact of machine learning and big data on scientific knowledge production in the biosciences.

I believe in the importance of international collaboration, and aim to work toward greater collaboration and exchange across European STS. My main goal on the EASST Council would be to promote collaboration and knowledge exchange within the European STS community. In the council I would like to explore new ways to integrate European STS—beyond the EASST conference—that can help connect existing national and regional STS networks. For example, I would like to explore if EASST could help facilitate the organization of pan-European summer schools for PhD students on various themes. I would also like to investigate whether EASST could support the creation of thematic STS networks across Europe.

I bring a wealth of experience in organizing both national and international collaborations to the EASST Council. I am part of the contact committee for the Swedish and Nordic STS networks. I organize the Swedish Digital STS Hub and have led PhD summer schools on algorithms, as well as a multitude of international workshops. I am also part of the editorial collective for the journal Valuation Studies and have served as a reviewer for several ERC grants.