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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.creator Sylvia Szabo
dc.creator Brighton Nhau
dc.creator Tsusaka, Takuji W.
dc.creator Kadigi, Reuben M. J.
dc.creator Payne, Tanya
dc.creator Kangile, Joseph Rajabu
dc.creator Park, Kwang Soon
dc.creator Couto, Matheus
dc.creator Runsten, Lisen
dc.creator Burgess, Neil D.
dc.date 2022-08-04T12:08:10Z
dc.date 2022-08-04T12:08:10Z
dc.date 2021-01
dc.date.accessioned 2022-10-25T08:50:54Z
dc.date.available 2022-10-25T08:50:54Z
dc.identifier http://www.suaire.sua.ac.tz/handle/123456789/4367
dc.identifier.uri http://hdl.handle.net/123456789/90784
dc.description Journal Article
dc.description There 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.format application/pdf
dc.language en
dc.publisher MDPI
dc.subject COVID-19
dc.subject MEL systems
dc.subject Impact pathways
dc.subject Trade impacts
dc.subject Sustainability science
dc.title Towards a successful post COVID-19 transition of monitoring, evaluation, and learning in Complex Sustainability Science Research-to-Policy Projects
dc.type Article


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