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Towards a Successful Post COVID-19 Transition of Monitoring, Evaluation, and Learning in Complex Sustainability Science Research-to-Policy Projects

descriptionPublicationkeyboard_double_arrow_right Article , Journal 04 Jan 2021Publisher:MDPI AGJournal:Sustainability, volume 13, page 387 (eissn: 2071-1050,

Authors: Sylvia Szabo; Brighton Nhau; Takuji W. Tsusaka; Reuben M. J. Kadigi; Tanya Payne; Joseph Rajabu Kangile; Kwang Soon Park; +3 Authors

doi: 10.3390/su13010387

Towards a Successful Post COVID-19 Transition of Monitoring, Evaluation, and Learning in Complex Sustainability Science Research-to-Policy Projects

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Abstract

There is an emerging body of literature focusing on the COVID-19 livelihoods and environmental 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 responsiveness 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.

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Keywords

Environmental effects of industries and plants, COVID-19, TJ807-830, sustainability science, TD194-195, Renewable energy sources, Environmental sciences, impact pathways, trade impacts, GE1-350, MEL systems

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average