scholarly journals Changing research on research evaluation: A critical literature review to revisit the agenda

2020 ◽  
Vol 29 (3) ◽  
pp. 275-288
Author(s):  
Duncan A Thomas ◽  
Maria Nedeva ◽  
Mayra M Tirado ◽  
Merle Jacob

Abstract The current range and volume of research evaluation-related literature is extensive and incorporates scholarly and policy/practice-related perspectives. This reflects academic and practical interest over many decades and trails the changing funding and reputational modalities for universities, namely increased selectivity applied to institutional research funding streams and the perceived importance of university rankings and other reputational devices. To make sense of this highly diverse body of literature, we undertake a critical review of over 350 works constituting, in our view, the ‘state-of-the-art’ on institutional performance-based research evaluation arrangements (PREAs). We focus on PREAs because they are becoming the predominant means world-wide to allocate research funds and accrue reputation for universities. We highlight the themes addressed in the literature and offer critical commentary on the balance of scholarly and policy/practice-related orientations. We then reflect on five limitations to the state-of-the-art and propose a new agenda, and a change of perspective, to progress this area of research in future studies.

2011 ◽  
pp. 240-270 ◽  
Author(s):  
Allen S. Lee

A conventional “trends” chapter on qualitative research in information systems (IS) would review the state of the art (the methods and findings) of such research, laud its achievements, criticize its shortcomings, and then specify what it should do in the future to add to its achievements and rectify its shortcomings. However, I will write this chapter unconventionally instead, so that the reader will be able to gain a sense of my own engagement with issues in qualitative IS research. Furthermore, although the editor of this volume originally commissioned me to write a chapter on trends, the chapter has evolved as a critical commentary on qualitative IS research. The chapter’s turn in this direction resulted from the editor’s guidance to me about how to account for the comments of the anonymous reviewers of the initial draft.


2020 ◽  
Vol 6 (16) ◽  
pp. eaay2631 ◽  
Author(s):  
Silviu-Marian Udrescu ◽  
Max Tegmark

A core challenge for both physics and artificial intelligence (AI) is symbolic regression: finding a symbolic expression that matches data from an unknown function. Although this problem is likely to be NP-hard in principle, functions of practical interest often exhibit symmetries, separability, compositionality, and other simplifying properties. In this spirit, we develop a recursive multidimensional symbolic regression algorithm that combines neural network fitting with a suite of physics-inspired techniques. We apply it to 100 equations from the Feynman Lectures on Physics, and it discovers all of them, while previous publicly available software cracks only 71; for a more difficult physics-based test set, we improve the state-of-the-art success rate from 15 to 90%.


1968 ◽  
Vol 11 (5) ◽  
pp. 279-304 ◽  
Author(s):  
Albert H. Rubenstein

Author(s):  
T. A. Welton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.


2003 ◽  
Vol 48 (6) ◽  
pp. 826-829 ◽  
Author(s):  
Eric Amsel
Keyword(s):  

1968 ◽  
Vol 13 (9) ◽  
pp. 479-480
Author(s):  
LEWIS PETRINOVICH
Keyword(s):  

1984 ◽  
Vol 29 (5) ◽  
pp. 426-428
Author(s):  
Anthony R. D'Augelli

1991 ◽  
Vol 36 (2) ◽  
pp. 140-140
Author(s):  
John A. Corson
Keyword(s):  

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