Towards a successful post COVID-19 transition of monitoring, evaluation, and learning in Complex Sustainability Science Research-to-Policy Projects

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dc.creatorSylvia Szabo
dc.creatorBrighton Nhau
dc.creatorTsusaka, Takuji W.
dc.creatorKadigi, Reuben M. J.
dc.creatorPayne, Tanya
dc.creatorKangile, Joseph Rajabu
dc.creatorPark, Kwang Soon
dc.creatorCouto, Matheus
dc.creatorRunsten, Lisen
dc.creatorBurgess, Neil D.
dc.date2022-08-04T12:08:10Z
dc.date2022-08-04T12:08:10Z
dc.date2021-01
dc.date.accessioned2022-10-25T08:50:54Z
dc.date.available2022-10-25T08:50:54Z
dc.descriptionJournal Article
dc.descriptionThere is an emerging body of literature focusing on the COVID-19 livelihoods and envi- ronmental impacts, as well as the effects of the pandemics on evidence generation. However, little attention has been paid to how COVID-19 has—and is likely to continue to—affect monitoring, evaluation, and learning (MEL) systems, specifically in the context of large sustainability science research-to-policy project consortia. Here, we provide a conceptual framework of MEL responsive- ness to COVID-19 effects and discuss the specific pathways to successful MEL transition. Using the UKRI GCRF TRADE Hub as a case study, we provide some examples of possible adjustments within the new context.
dc.formatapplication/pdf
dc.identifierhttp://www.suaire.sua.ac.tz/handle/123456789/4367
dc.identifier.urihttp://hdl.handle.net/123456789/90784
dc.languageen
dc.publisherMDPI
dc.subjectCOVID-19
dc.subjectMEL systems
dc.subjectImpact pathways
dc.subjectTrade impacts
dc.subjectSustainability science
dc.titleTowards a successful post COVID-19 transition of monitoring, evaluation, and learning in Complex Sustainability Science Research-to-Policy Projects
dc.typeArticle

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