I study how AI, algorithms and digital infrastructures change the way knowledge is made — and how they sort and value the world.
ai, algorithms & data
What happens to knowledge when algorithms and AI help produce it?
I follow how researchers and organisations build, use and come to trust AI systems — from machine learning in biomedicine to AI-generated synthetic data. With Ericka Johnson and Ylva Söderfeldt, I lead a research group on synthetic data in WASP-HS, Sweden’s national program on AI and society, part of InterSynth Lab.
knowledge infrastructures
How do the systems we use to know the world shape what we can see?
I study the databases, sensors and surveillance systems behind public health — and what they make visible, or miss. Now in two projects on pandemic preparedness: Blind Spots in Pandemic Preparedness and Pandemic Infrastructures.
classification & valuation
How do classifications and values put the world in order — and what falls outside them?
I study how classification and valuation work in practice, often together: how disease surveillance sorts the known from the unknown, how data sets decide what counts as normal, and how scientific, economic and ethical values are weighed against each other.
featured writing
- Computational universalism, or, Attending to relationalities at scale Lee and Ribes · Social Studies of Science, 2025
- The practices and politics of machine learning: A field guide for analyzing artificial intelligence Lee · AI & Society, 2025
- The ontological politics of synthetic data: Normalities, outliers, and intersectional hallucinations Lee, Hajisharif and Johnson · Big Data & Society, 2025