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How Theories of Induction Can Streamline Measurements of Scientific Performance
(Springer, Dordrecht, 2020)
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 ...
Experimenter's regress argument, empiricism, and the calibration of the large hadron collider
(Springer, Dordrecht, 2017)
H. Collins has challenged the empiricist understanding of experimentation by identifying what he thinks constitutes the experimenter's regress: an instrument is deemed good because it produces good results, and vice versa. ...
Optimal research team composition: data envelopment analysis of Fermilab experiments
(Springer, Dordrecht, 2016)
We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories in the world, in order to test their efficiency (as measured by publication and citation ...