Publication Date: 2023/09/04
Abstract: This study sought to identify possible solutions for more effective translation of data into actionable humanitarian response in Afghanistan. While the Humanitarian Needs Overview is the primary document highlighting multisectoral needs in Afghanistan, it does not reflect the variation in needs within a humanitarian response year and at the sub- provincial level, thereby limiting the extent to which implementing actors’ responses are guided by evidence. Analysis of IOM’s community needs assessment data showed that up to 40% of districts returned different vulnerability categorizations when aggregated at district level, compared to when aggregation was done at province level, reflecting the importance of spatial aggregation on needs analysis. A time series visualization of ACLED data for Afghanistan showed notable spikes and dips that were seasonal or triggered by major events, such as the spring offensive and significant reduction in conflicts after the Taliban became the De facto Authority in Afghanistan. Analysis of primary qualitative data derived through Key Informant Interviews with Afghanistan humanitarian response stakeholders suggests that effective translation of data to response in Afghanistan will be achieved if it is based on a SMART (Specific, Measurable, Assignable, Reliable, and Time-bound) framework that is integrated with additional elements of accountability, resource allocation, and capacity mapping. A SMART+ model, which integrates the SMART components with the additional elements, was recommended and an example of how to operationalize this model in Afghanistan was presented.
Keywords: No Keywords Available
DOI: https://doi.org/10.5281/zenodo.8339985
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23AUG732.pdf
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