Work

Data-driven predictions in the science of science

Year: 2017

Type: review

Abstract: The desire to predict discoveries-to have some idea, in advance, of what will be discovered, by whom, when, and where-pervades nearly all aspects of modern science, from individual scientists to publishers, from funding agencies to hiring committees. In this Essay, we survey the emerging and interdisciplinary field of the "science of science" and what it teaches us about the predictability of scientific discovery. We then discuss future opportunities for improving predictions derived from the science of science and its potential impact, positive and negative, on the scientific community.

Source: Science

DOI: 10.1126/science.aal4217

Authors: Aaron Clauset, Daniel B. Larremore, Roberta Sinatra

Institutions: Santa Fe Institute, University of Colorado Boulder, Northeastern University, Central European University, Central European University - Budapest Campus

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Library and Information Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2585057539

FWCI: 7.313

Cites: 28

Cited by: 271

Related to: 10