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"Reverse engineering" research portfolio synergies and tradeoffs from domain expertise in minimum data contexts

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Field Value
 
Title "Reverse engineering" research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
 
Creator Schiek, Benjamin E.
 
Subject research policies
synergism
data analysis
política de investigación
sinergismo
análisis de datos
 
Description In research portfolio planning contexts, an estimate of research policy and project synergies/tradeoffs (i.e. covariances) is essential to the optimal leveraging of institution resources. The data by which to make such estimates generally do not exist. Research institutions may often draw on domain expertise to fill this gap, but it is not clear how such ad hoc information can be quantified and fed into an optimal resource allocation workflow. Drawing on principal components analysis, I propose a method for “reverse engineering” synergies/tradeoffs from domain expertise at both the policy and project level. I discuss extensions to other problems and detail how the method can be fed into a research portfolio optimization workflow. I also briefly discuss the relevance of the proposed method in the context of the currently toxic relations between research communities and the donors that fund them.
 
Date 2021
2021-06-29T13:12:45Z
2021-06-29T13:12:45Z
 
Type Journal Article
 
Identifier Schiek B (2021) "Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts. PLOS ONE 16(11): e0259734. ISSN: 1932-6203
1932-6203
https://hdl.handle.net/10568/114142
https://doi.org/10.1371/journal.pone.0259734
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 17 p.
application/pdf
 
Publisher Public Library of Science (PLoS)
 
Source PLOS ONE