Automating the practice of science: Opportunities, challenges, and implications

S Sebastian Musslick (Institute for Cognitive Science) L Laura K. Bartlett (Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science) S Suyog H. Chandramouli (Department of Information and Computer Engineering) M Marina Dubova (Cognitive Science Program, Indiana University) F Fernand Gobet (Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science) T Thomas L. Griffiths J Jessica Hullman (Department of Computer Science, Northwestern University) R Ross D. King (Department of Chemical Engineering and Biotechnology, University of Cambridge) J J. Nathan Kutz C Christopher G. Lucas (School of Informatics, University of Edinburgh) S Suhas Mahesh (Department of Materials Science and Engineering, University of Toronto) F Franco Pestilli (Department of Psychology) S Sabina J. Sloman (Department of Computer Science, University of Manchester) W William R. Holmes (Cognitive Science Program, Indiana University)

Abstract

Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating discovery, enhancing reproducibility, and overcoming the traditional impediments to scientific progress. This article evaluates the scope of automation within scientific practice and assesses recent approaches. Furthermore, it discusses different perspectives to the following questions: where do the greatest opportunities lie for automation in scientific practice?; What are the current bottlenecks of automating scientific practice?; and What are significant ethical and practical consequences of automating scientific practice? By discussing the motivations behind automated science, analyzing the hurdles encountered, and examining its implications, this article invites researchers, policymakers, and stakeholders to navigate the rapidly evolving frontier of automated scientific practice.

Article Details

Volume / Issue Vol. 122, Issue 5
Published February 04, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (14)

S

Sebastian Musslick

Institute for Cognitive Science

L

Laura K. Bartlett

Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science

S

Suyog H. Chandramouli

Department of Information and Computer Engineering

M

Marina Dubova

Cognitive Science Program, Indiana University

F

Fernand Gobet

Centre for Philosophy of Natural and Social Science, The London School of Economics and Political Science

T

Thomas L. Griffiths

J

Jessica Hullman

Department of Computer Science, Northwestern University

R

Ross D. King

Department of Chemical Engineering and Biotechnology, University of Cambridge

J

J. Nathan Kutz

C

Christopher G. Lucas

School of Informatics, University of Edinburgh

S

Suhas Mahesh

Department of Materials Science and Engineering, University of Toronto

F

Franco Pestilli

Department of Psychology

S

Sabina J. Sloman

Department of Computer Science, University of Manchester

W

William R. Holmes

Cognitive Science Program, Indiana University