Main research areas
- Science & Technology Studies (STS)
- Artificial Intelligence & Ethics
- Digital Sociology
- Sociology of Science
Current research
In my research on machine learning and artificial intelligence, I examine the daily and scientific work of putting together algorithmic systems. Another aspect of my research is about understanding the relationship between algorithms and ethical categories. I intend to conduct ethnographic fieldwork with computer scientists and engineers who develop AI systems for my dissertation. I am part of the project “Show & Tell: Scientific representation, algorithmically generated visualizations, and evidence across epistemic cultures” (ERC, 2021-2025) led by Alison Gerber.
Publications
Displaying of publications. Sorted by year, then title.
Agreements ‘in the wild’ : Standards and alignment in machine learning benchmark dataset construction
Isak Engdahl
(2024) Big Data and Society, 11
Journal articleFlorian Jaton, The constitution of algorithms. Ground-truthing, programming, formulating. MIT Press, 2021
Isak Engdahl
(2022) Sociologisk Forskning, 59 p.224-227
ReviewMachine Pedagogy: : Classifications and Expectations of Egocentric Machine Vision Capabilities
Isak Engdahl
(2022) EASST 2022 Madrid Book of Abstracts
Conference paperHow Order is Made in Datasets for Computer Vision : A Machine Gaze with Habaneros, please!
Isak Engdahl
(2022) Swedish STS Conference 2022 program
Conference paper
Background
Isak Engdahl has acquired both his Bachelor's and Master's degree in Sociology from Lund University. He has previously worked as a research assistant at the Freie Universität, Berlin, Germany, and at the University of California, Berkeley during his stay as an exchange student in the United States. Isak has also worked at an international human rights organization and interned at the Swedish International Development Cooperation Agency, primarily in organizational development.