• A topic model approach to meas...

Treffer: A topic model approach to measuring interdisciplinarity at the National Science Foundation

Title:
A topic model approach to measuring interdisciplinarity at the National Science Foundation
Authors:
NICHOLS, Leah G
Source:
Tech Mining, Analysis, and VisualizationScientometrics (Print). 100(3):741-754
Publisher Information:
Dordrecht: Springer, 2014.
Publication Year:
2014
Physical Description:
print, 3/4 p
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Sciences de l'information et des bibliothèques. Etude d'ensemble, Library and information science. General aspects, Bibliométrie. Scientométrie. Evaluation, Bibliometrics. Scientometrics. Evaluation, Sciences de l'information et de la communication, Information and communication sciences, Bibliométrie. Scientométrie, Bibliometrics. Scientometrics, Fouille texte, Text mining, Explotacion texto, Interdisciplinaire, Interdisciplinary field, Interdisciplinario, Recherche scientifique, Scientific research, Investigación científica, Interdisciplinarity, Network analysis, Topic model
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
National Science Foundation, 4201 Wilson Blvd., Arlington, VA 22230, United States
ISSN:
0138-9130
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28700413
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.28700413
Database:
PASCAL Archive

Weitere Informationen

As the National Science Foundation (NSF) implements new cross-cutting initiatives and programs, interest in assessing the success of these experiments in fostering interdisciplinarity grows. A primary challenge in measuring interdisciplinarity is identifying and bounding the discrete disciplines that comprise interdisciplinary work. Using statistical text-mining techniques to extract topic bins, the NSF recently developed a topic map of all of their awards issued between 2000 and 2011. These new data provide a novel means for measuring interdisciplinarity by assessing the language or content of award proposals. Using the Directorate for Social, Behavioral, and Economic Sciences as a case study and drawing on the new topic model of the NSF's awards, this paper explores new methods for quantifying interdisciplinarity in the NSF portfolio.