Optimal research team composition: data envelopment analysis of Fermilab experiments

Perović, Slobodan; Radovanović, Sandro; Sikimić, Vlasta; Berber, Andrea

doi:10.1007/s11192-016-1947-9

Cited by 17 publications

(16 citation statements)

References 53 publications

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“…Modelling techniques typically used in economics, utilizing, for instance, decision theory, have been used for the same purpose (Charn et al 1978). The second approach employs case-based analysis: a historical or data-driven analysis of particular cases can be performed to examine the networks in question (Perović et al 2016;Maruyama et al 2015;Cetina 1999).…”

Section: Studies and Articles │ 537mentioning

confidence: 99%

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Team and project composition in big physics experiments

Perović

2019

Filoz drus

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Identifying optimal ways of organizing exploration in particle physics mega-labs is a challenging task that requires a combination of case-based and formal epistemic approaches. Data-driven studies suggest that projects pursued by smaller master-teams (fewer members, fewer subteams) are substantially more efficient than larger ones across sciences, including experimental particle physics. Smaller teams also seem to make better project choices than larger, centralized teams. Yet the epistemic requirement of small, decentralized, and diverse teams contradicts the often emphasized and allegedly inescapable logic of discovery that forces physicists pursuing the fundamental levels of the physical world to perform centralized experiments in mega-labs at high energies. We explain, however, that this epistemic requirement could be met, since the nature of theoretical and physical constraints in high energy physics and the technological obstacles stemming from them turn out to be surprisingly open-ended.

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Section: Studies and Articles │ 537mentioning

confidence: 99%

“…A recent quantitative study addressed the effect of team composition on efficiency in one of the major particle physics mega-laboratories, Fermi National Laboratory (Fermilab) (Perović et al 2016). Efficiency was measured by determining the weighted citation counts in 12 categories.…”

Section: Big Physics and Epistemic Normsmentioning

confidence: 99%

Team and project composition in big physics experiments

Perović

2019

Filoz drus

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“…Innovation efficiency, which is "the ability to translate inputs into innovation outputs" by definition, has become very important and attractive to scholars and governments [7,8]. Because of the unique advantages in the efficiency evaluation of multi-input and multioutput [9], the Data Envelopment Analysis (DEA) has been widely used to measure the relative efficiency of Decision-Making Units (DMUs) by estimating the ratio of outputs to inputs [10][11][12]. Many studies investigated innovation efficiency at the national [13][14][15], regional [10,16,17], and institutional levels [18][19][20] by means of DEA.…”

Section: Introductionmentioning

confidence: 99%

International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries

et al. 2021

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An efficiency-oriented innovation analysis will enhance the understanding of the operational quality related to the transformation process of limited innovation investments for improving innovation outputs. The purpose of this study was to measure the static-dynamic efficiency of agricultural science, technology, and innovation (ASTI) and identify the efficiency determinants across the Group of Twenty (G20) countries. First, the static comprehensive efficiency of ASTI was measured employing the Data Envelopment Analysis (DEA)-BCC model, and some of the binding constraints to higher efficiency were investigated. Then, we applied the DEA-Malmquist index model to calculate the efficiency change of ASTI in certain periods and decomposed the sources of efficiency change. Finally, the G20 countries were classified into four-level clusters based on the rankings of efficiency measurement and capability evaluation of ASTI to locate the type of ASTI level and identify the type change in both the efficiency and capability. The empirical results indicate the following. (1) The efficiency range of the G20 developing countries was relatively larger than the G20 developed countries. The G20 developed countries showed a fluctuating downward trend, while the G20 developing countries showed an upward trend from the perspective of efficient proportion. The R&D expenditure redundancy and the agricultural journal papers deficiency were the main binding constraints to the higher efficiency of ASTI. (2) The total factor productivity change (TFPC) of ASTI showed an alternating trend of “decline–growth–continuous decline–growth recovery”, where the G20 developed countries experienced “growth–decline–growth” and the G20 developing countries underwent a fluctuating upward trend. The TFPC of ASTI in most G20 countries was primarily due to technological change. (3) The G20 developed countries usually had advantages in capacity, while the G20 developing countries performed better in efficiency.

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“…Philosophers, anthropologists, and science policy experts (Galison and Hevly 1992;Cetina K. 2009;Martin and Irvine 1984a, 1984b, 1985Perović 2016) have analyzed some aspects of the organization of HEP labs, yet studies of the explicit connections between the organization theory, on the one hand, and the organization and management of large scientific institutions, on the other, are lacking. As I see it, such studies are essential to understand the workings of modern HEP laboratories.…”

Section: Introductionmentioning

confidence: 99%

“…The production of experimental knowledge in the laboratories can be traced surprisingly accurately by tracking the production of papers and citation counts (Martin and Irvine 1984b;Perović et al 2016). The HEP archive of papers and citations INSPIRE was established in the early 1970s.…”

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confidence: 99%

Egalitarian Paradise or Factory Drudgery? Organizing Knowledge Production in High Energy Physics (HEP) Laboratories

Perović

2018

Social Epistemology

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The organization of cutting-edge HEP laboratories has evolved in the intersection of academia, state agencies, and industry. Exponentially ever-larger and more complex knowledge-intensive operations, the laboratories have often faced the challenges of, and required organizational solutions similar to, those identified by a cluster of diverse theories falling under the larger heading of organization theory. The cluster has either shaped or accounted for the organization of industry and state administration. The theories also apply to HEP laboratories, as they have gradually and uniquely hybridized their principles and solutions. Yet scholarship has virtually ignored this linkage and has almost exclusively focused on the laboratories' presumably unique egalitarian organizational aspects. Guided by the principles developed in the organization theory cluster, we identify the basic organizational features of HEP laboratories in relation to their pursuit of narrow and broad epistemic goals. We also provide a set of criteria and methods for assessing the efficiency of the identified organizational features in achieving such goals.

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Optimal research team composition: data envelopment analysis of Fermilab experiments

Cited by 17 publications

References 53 publications

Team and project composition in big physics experiments

Team and project composition in big physics experiments

International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries

Egalitarian Paradise or Factory Drudgery? Organizing Knowledge Production in High Energy Physics (HEP) Laboratories

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