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Data-driven response
Data Driven Vulnerability Outlook on Beirut’s Neighborhoods
Post blast Beirut leads to a long road into Reform, Recovery and Reconstruction. UNDP’s "Leave No One Behind" report released in September 2020 outlines 7 requirements to an inclusive and just recovery process. One key requirement being, that all efforts are people centered and data driven at the same time, rather than building centered and reconstruction based.
It is an extract of the Accelerator Lab’s effort to build an interactive story page which uses spatial data analysis as a proxy to identify where the most vulnerable groups exist within the city’s neighborhoods. We also developed a multidimensional vulnerability index (MVI) to assess intersectional vulnerabilities at the household level, and then aggregate to the neighborhood level. The dataset used is mainly the socio-economic impact assessment (SEIA) that was conducted after the blast on the week of 17 August 2020*.
In view of Beirut, we open up the data we collected post-blast, combined with available public data, paired with cutting-edge spatial data analysis techniques in order to present a picture of vulnerability. Consuming such content we need a data outlook within ourselves and all 3RF partners that can:
- Embrace complexity
- Elevate people’s intersectional representation
- Understand data limitations
One of the ways UNDP Accelerator Labs Lebanon is experimenting around this topic is by designing access to our SEIA data through an interactive data story that we are sharing with you. We want to ensure that the data speak in a visual narrative, while also allowing interactive engagement features that help navigate the complexity of Beirut neighborhood vulnerabilities from different outlooks.
Click here to explore the different levels of the interactive story page
