Piloting Evaluation Approaches in Select Climate Information Services
This work focuses on Senegal and Rwanda.
A key aspect in understanding the effectiveness of climate information services programs requires consideration of different climate information services needs associated with the roles and responsibilities of different identity categories, including gender. Existing methodologies to evaluate the uptake and effectiveness of climate information services programs are currently not fit for this specific purpose.
How will CISRI solve this issue?
CISRI will develop and pilot innovative processes and methodologies for evaluating the uptake and effectiveness of existing climate information services programs, targeting identified knowledge and evidence gaps. CISRI will 1) pilot new evaluation methodologies in existing climate information services programs to determine their impact on livelihood outcomes and to fill evidence gaps related to access, use and impact of climate information services, as identified in the synthesis of knowledge work, 2) document learning from the pilots, and 3) make recommendations for improved evaluation methodologies that can better assess the impact and effectiveness of climate information services programs.
What will the impact be?
In Rwanda and Senegal, CISRI will pilot both a quantitative and a qualitative methodology to evaluate uptake and effectiveness of existing climate information services programs. CISRI will then conduct a joint analysis to assess the relative merits of each approach in terms of the insights they bring about the factors that influence climate information services access, use and impact. This analysis will inform recommendations for improving climate information services evaluation methodologies. This activity will also produce new evidence, gathered from several field sites, on the degree of effectiveness of climate information services and innovative evaluative methodologies. It will also help to generate a more comprehensive understanding of users’ needs accounting for farmers’ gender, age and context.