Accelerating understanding of resilient agriculture. Using a data sprint to catalyze new insights from existing evidence
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Date Issued
2021-11Language
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Jones K, Nowak A, Rosentock T. 2021. Accelerating understanding of resilient agriculture. Using a data sprint to catalyze new insights from existing evidence. CCAFS Info Note. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
Permanent link to cite or share this item: https://hdl.handle.net/10568/117757
Abstract/Description
Key messages The Evidence for Resilient Agriculture (ERA) dataset contains more than 100,000 observations describing which agricultural practices work where. A Data Sprint was held for six months to leverage ERA to generate new insights that maximize the impact of the dataset and build new scientific collaborations. A sample analysis that compared expert elicitation and ERA data of benefits of CSA identified little convergence and highlighted the need for integration of diverse evidence. A sample analysis that generated predictive scenarios to improve food and nutrition security in Ethiopia leveraged ERA data to identify pathways that account for local diversity. A sample analysis that assessed data deserts and research gaps using ERA data found a lack of evidence in regions with pastoral systems.
CGIAR Author ORCID iDs
Kristal Joneshttps://orcid.org/0000-0001-9737-9042
Andreea Nowakhttps://orcid.org/0000-0002-8049-5757
Todd Rosenstockhttps://orcid.org/0000-0002-1958-9500