Automating the practice of science: Opportunities, challenges, and implications
Journal article, 2025
metascience
computational scientific discovery
automation
AI for science
Author
Sebastian Musslick
Osnabrück University
Brown University
Laura K. Bartlett
London School of Economics and Political Science
Suyog H. Chandramouli
University of Alberta
Princeton University
Aalto University
Marina Dubova
Indiana University
Fernand Gobet
University of Roehampton
London School of Economics and Political Science
Thomas L. Griffiths
Princeton University
Jessica Hullman
Robert R. McCormick School of Engineering and Applied Science
Ross King
Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI
University of Cambridge
J. Nathan Kutz
University of Washington
Christopher G. Lucas
University of Edinburgh
Suhas Mahesh
University of Toronto
Franco Pestilli
The University of Texas at Austin
Sabina J. Sloman
University of Manchester
William R. Holmes
Indiana University
Proceedings of the National Academy of Sciences of the United States of America
0027-8424 (ISSN) 1091-6490 (eISSN)
Vol. 122 5 e2401238121Subject Categories (SSIF 2025)
Computer Sciences
DOI
10.1073/pnas.2401238121
PubMed
39869810