NICK SEAVER
I’m an anthropologist who studies how people use technology to make sense of cultural things.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can order it from the University of Chicago Press or wherever else you like.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can order it from the University of Chicago Press or wherever else you like.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I’m an anthropologist who studies how people use technology to make sense of cultural things.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can pre-order it from the University of Chicago Press.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
I teach in the Department of Anthropology at Tufts University, where I also direct the program in Science, Technology, and Society.
My first book is about the people who make music recommender systems and how they think about their work. It’s called Computing Taste: Algorithms and the Makers of Music Recommendation, and you can pre-order it from the University of Chicago Press.
I’m currently studying the rise of attention as a value and virtue in machine learning worlds, from the new tech humanism to the infrastructure of neural networks.
Below, you can find links to my publications. If you’d like to read anything here and can’t access it, please feel free to email me for a copy.
Filter:
“You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies. Big Data & Society 6 (1).
Written with David Moats.
Written with David Moats.
It has proven difficult to bring critiques of data science from interpretivist fields into practice. We suggest that part of this problem has to do with under-examined assumptions about how data science and its critics can and should relate. This article describes an ultimately unsuccessful experiment in staging conversations between critical STS scholars and data science practitioners, which reveals some tensions between the normative positions of these fields.
March 2019