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

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...

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Autor principal:	Benjamin Schiek
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4b91f2d2566a497bb84e8f31738238cc
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spelling	oai:doaj.org-article:4b91f2d2566a497bb84e8f31738238cc2021-11-25T06:10:59Z“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts1932-6203https://doaj.org/article/4b91f2d2566a497bb84e8f31738238cc2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589176/?tool=EBIhttps://doaj.org/toc/1932-6203In 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.Benjamin SchiekPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Benjamin Schiek “Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
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.
format	article
author	Benjamin Schiek
author_facet	Benjamin Schiek
author_sort	Benjamin Schiek
title	“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
title_short	“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
title_full	“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
title_fullStr	“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
title_full_unstemmed	“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
title_sort	“reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4b91f2d2566a497bb84e8f31738238cc
work_keys_str_mv	AT benjaminschiek reverseengineeringresearchportfoliosynergiesandtradeoffsfromdomainexpertiseinminimumdatacontexts
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“Reverse engineering” research portfolio synergies and tradeoffs from domain expertise in minimum data contexts

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