ResilientAfrica Network (RAN), Quantitative Data Analysis Workshop is taking place in New Orleans, Louisiana, USA. It ran from February 15 to 26, 2016. In attendance at this workshop were representatives from the four RAN Resilience Innovation Labs including; Eastern Africa Resilience Innovation Lab (EA RI Lab) represented by Dr. Simon Kasasa a statistician and faculty at Makerere University School of Public Health offering RAN his consultancy expertise, West Africa Resilience Innovation Lab (WA RI Lab) represented by Mr. Dennis Chirawurah the WA RI Lab Lab Director, Southern Africa Resilience Innovation Lab (SA RI Lab) represented by Prof. Lekan Ayo-Yusuf the SA RI Lab Director and Horn of Africa Resilience Innovation Lab (HoA RI Lab) represented by Prof. Argaw Ambelu, a faculty at Jima University and consultant in the RI Lab. The RAN secretariat is represented by Research Officer Christine Muhumuza and Tulane University-Disaster Resilience Leadership Academy (DRLA) represented by the Director, Prof. Ky Luu and the DRLA quantitative data analysis team comprising of 5 people.
The workshop is meant to provide a forum for RAN labs to discuss amongst themselves and Tulane University team issues relating to i) theoretical/conceptual modelson resilience development, data collection strategies, and measurement of dimensions of resilience ii) Collectively exploring and developing standard procedures for creation of key measures and application of statistical techniques without sacrificing context-specific, innovative methods and iii) Exploring and analyzing relationships among and between dimensions of resilience specific to a context, share and discuss preliminary results with each other, and prepare for the draft of the final 2nd State of African Resilience report.
The workshop is organized in six steps namely;
Step 1: Present the background, framework, and dimensions
Step 2: Present data on the context-specific shocks/stressors
Step 3: Explore dimensions of resilience
Step 4: Description of sub-groups by the dimensions
Step 5: Analysis of the resilience dimension relationships
Step 6: Tying the qualitative, document data, and quantitative findings together and start of report writing.
OVERALL, for all RI Labs, there are two overarching expectations (goals) for the RAN Resilience work (qualitative and quantitative) and these include the following;
- Lab-level goal - to test and validate each RI Lab’s context specific resilience frameworks, test the indicators, explore and analyze relationships among and between dimensions of resilience specific to a context (floods, drought, climate variability, etc.), and ultimately provide ACTIONABLE knowledge that can inform resilience-focused innovations/interventions in the target communities.
- System-level goal – as a network, to provide the broader humanitarian stakeholder community with the ensemble of all the data, analysis, findings, and recommendations that presents all the different indicators and analyses used in different contexts, in order to deepen the understanding of resilience measurement and resilience-based interventions.
This is yet another knowledge generation and sharing opportunity bringing together experts and faculty across the RI Labs in an effort to further document community voices gathered through research. This data is what has continued to inform the Innovations Pipeline as the RAN Team innovates for and with the community to address communities’ most pressing challenges.
Compiled by Christine Muhumuza RAN Research Officer 2016.