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.
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“This Is Not a Copy”: Mechanical Fidelity and the Re-Enacting Piano. differences 22 (2–3): 54–73.
In the early twentieth century, the American Piano Company built a “re-enacting piano,” which could play back performances recorded by virtuoso pianists. This article examines how an ideal of recording fidelity was socially produced around this technology, along different lines than the more familiar fidelity of audio recording. Through a commingling of traits that had formerly been considered either human or mechanical, the re-enacting piano offered a way to imagine human and machine performances as materially interchangeable and potentially identical.
December 2011