<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article explores the transformations of an area of scientific research provoked by the introduction of big data and the possibilities to treat them by Artificial Intelligence. We study these transformations in contemporary astrophysics as it has developed over the last thirty years. These transformations extend from cognitive work procedures to information processing, systems of collaboration between scientists, epistemology and terrain of questions.</p>
</abstract>

This article explores the transformations of an area of scientific research provoked by the introduction of big data and the possibilities to treat them by Artificial Intelligence. We study these transformations in contemporary astrophysics as it has developed over the last thirty years. These transformations extend from cognitive work procedures to information processing, systems of collaboration between scientists, epistemology and terrain of questions.

The Transformation of a Science by a “Technology”: The Case of Astrophysics and the Introduction of Machine Learning

HoST - Journal  of History of Science and Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This article explores the transformations of an area of scientific research provoked by the introduction of big data and the possibilities to treat them by...

The Transformation of a Science by a “Technology”: The Case of Astrophysics and the Introduction of Machine Learning

Online veröffentlicht: 14. Dez. 2023

Seitenbereich: 81 - 99

DOI: https://doi.org/10.2478/host-2023-0012

Schlüsselwörter
Astrophysics, Machine Learning, simulation, big surveys, epistemological shift

© 2023 Anne Marcovich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The Transformation of a Science by a “Technology”: The Case of Astrophysics and the Introduction of Machine Learning

Online veröffentlicht: 14. Dez. 2023

Seitenbereich: 81 - 99

DOI: https://doi.org/10.2478/host-2023-0012

SchlüsselwörterAstrophysics, Machine Learning, simulation, big surveys, epistemological shift

© 2023 Anne Marcovich et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Astrophysics, Machine Learning, simulation, big surveys, epistemological shift