How Theories of Induction Can Streamline Measurements of Scientific Performance

Slobodan Perović; Vlasta Sikimić

doi:10.1007/s10838-019-09468-4

How Theories of Induction Can Streamline Measurements of Scientific Performance

Slobodan Perović (Corresponding author)
, Vlasta Sikimić

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

5 Citaten (Scopus)

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We argue that inductive analysis (based on formal learning theory and the use of suitable machine learning reconstructions) and operational (citation metrics-based) assessment of the scientific process can be justifiably and fruitfully brought together, whereby the citation metrics used in the operational analysis can effectively track the inductive dynamics and measure the research efficiency. We specify the conditions for the use of such inductive streamlining, demonstrate it in the cases of high energy physics experimentation and phylogenetic research, and propose a test of the method’s applicability.

Originele taal-2	Engels
Pagina's (van-tot)	267-291
Aantal pagina's	25
Tijdschrift	Journal for General Philosophy of Science
Volume	51
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.1007/s10838-019-09468-4
Status	Gepubliceerd - 1 jun. 2020
Extern gepubliceerd	Ja

Financiering

This work was presented at the conference “Formal Methods of Scientific Inquiry” held at the Ruhr-University, Bochum in 2017. We are greatful to the participants of the conference, audience at the Center for Formal Epistemology at the Carnegie Mellon University, Kevin T. Kelly, Oliver Schulte, Konstantine (Casey) Genin, anonymous referees and guest editors of the special issue for a number of comments and constructive criticisms. This work was supported by grant #179041 of the Ministry of Education, Science, and Technological Development of the Republic of Serbia. This work was presented at the conference ?Formal Methods of Scientific Inquiry? held at the Ruhr-University, Bochum in 2017. We are greatful to the participants of the conference, audience at the Center for Formal Epistemology at the Carnegie Mellon University, Kevin T. Kelly, Oliver Schulte, Konstantine (Casey) Genin, anonymous referees and guest editors of the special issue for a number of comments and constructive criticisms. This work was supported by grant #179041 of the Ministry of Education, Science, and Technological Development of the Republic of Serbia.

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How Theories of Induction Can Streamline Measurements of Scientific Performance

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