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        "description": "Child wasting is a key Sustainable Development Goal target and indicator (SDG 2.2b). Even before the COVID-19 pandemic 47 million children were already wasted (a life- threatening form of malnutrition) in 2019. However, in specific countries, survey results on wasting have a variance of 10-20%, meaning that trends arising from these surveys are difficult to interpret. Several factors impact the consistency of these survey results, one of which is climate and seasonality. UNICEF, as part of the Joint Malnutrition Estimates (JME) working group and official co- custodian of SDG indicators 2.2 including on child wasting, currently uses data from MICS, DHS and other surveys with nutrition components to: * Create a dataset of country wasting estimates that are tagged with dates of data collection * Generate global and regional estimates for one year only (i.e., the most recent year). The JME working group has been constrained in its ability to generate reliable wasting timeseries rend estimates at the country, regional or global levels. To support generation of trend estimates, the JME working group would benefit from availability of: * A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, \"hunger\" season) by country and which also contains metadata related to significant periodic climatic events like hurricanes. * Tagging of existing household surveys to seasonal/climate information relevant to wasting. * Estimates regarding the influence different seasons/climate patterns and significant periodic climatic events have on wasting prevalence in different contexts (e.g., by country) and which can be used to inform generation of trend estimates and also to advise on optimal timing of future surveys",
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                "title": "How can we produce a time series of childhood wasting estimates, accounting for climate impacts?",
                "description": "Child wasting is a key Sustainable Development Goal target and indicator (SDG 2.2b). Even before the COVID-19 pandemic 47 million children were already wasted (a life- threatening form of malnutrition) in 2019. However, in specific countries, survey results on wasting have a variance of 10-20%, meaning that trends arising from these surveys are difficult to interpret. Several factors impact the consistency of these survey results, one of which is climate and seasonality. UNICEF, as part of the Joint Malnutrition Estimates (JME) working group and official co- custodian of SDG indicators 2.2 including on child wasting, currently uses data from MICS, DHS and other surveys with nutrition components to: * Create a dataset of country wasting estimates that are tagged with dates of data collection * Generate global and regional estimates for one year only (i.e., the most recent year). The JME working group has been constrained in its ability to generate reliable wasting timeseries rend estimates at the country, regional or global levels. To support generation of trend estimates, the JME working group would benefit from availability of: * A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, \"hunger\" season) by country and which also contains metadata related to significant periodic climatic events like hurricanes. * Tagging of existing household surveys to seasonal/climate information relevant to wasting. * Estimates regarding the influence different seasons/climate patterns and significant periodic climatic events have on wasting prevalence in different contexts (e.g., by country) and which can be used to inform generation of trend estimates and also to advise on optimal timing of future surveys",
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                "description": "Other related modelling exercises are also underway with UNICEF and other partners to help better estimation of wasting burden to support programming. The key objective of this project would be to collate and develop methods at a global scale that can be used for SDG monitoring, while maintaining links and creating synergies with other relevant projects as appropriate. The project could also include a special case study for the Sahel region as well as a few key focus countries to delve into deeper discussions. Challenge Sponsor(s)UNICEF Desired Outcome 1. A seasonal/climate metadata database which maps dates to specific agricultural seasons/climate patterns (e.g., pre-harvest and post-harvest seasons / rainy and dry season, \"hunger\" season,) by country 2. Existing household surveys tagged to seasonal/climate information relevant to wasting. 3. Analyses to explore and assess the influence of the seasonal/climate metadata on the wasting estimates in the JME database and other available surveys, and proposed adjustments which could be applied to generate trends across survey years by country. 4. Annual timeseries country wasting estimates, adjusted to reflect the impact of seasons/climate 5. Guidance on how to update and use the seasonal/climate metadata database for optimal planning of survey timings.",
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    "description": "https://www.dataforchildrencollaborative.com/challenge-questions NOTE: To register your interest in this notice and obtain any additional information please visit the Public Contracts Scotland Web Site at https://www.publiccontractsscotland.gov.uk/Search/Search_Switch.aspx?ID=684235. (SC Ref:684235)",
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