Innovation Recommendation Mapping (IRM) training (CASCAPE & REALISE)

For the last few weeks BENEFIT-CASCAPE has been engaged in assessing the skills and knowledge of government experts at Federal level and BENEFIT sister project staff (SBN) on Innovation Recommendation Mapping (IRM). The overall aim is to institutionalize BENEFIT-CASCAPE methodological tool on IRM  to allow users generate suitability maps that provides scientific advise on where and how best fit innovations can be scaled in specific areas. Following an agreement with key government stakeholders on the matter, the first of three training was held from October 21-25 2019 in Bishoftu town in collaboration with BENEFIT-REALISE.

The training that was organized to bridge the knowledge and skill gap of the institutions responsible for implementing IRM, was based on the responses to questionnaire that was analysed and summarized at BENEFIT-CASCAPE National Programme Management Unit (NPMU). The assessment looked at knowledge and skills on basic GIS (data preparation, clipping, map projection, raster manipulation); spatial data capture (GPS, Digitizing, 3rd party downloads, Workshop facilitation); basic programming skill and basic use of R (R studio interface, R markdown, raster package, sp package, sf package, shiny package, leaflet package and ggplot2 package); and knowledge and experience of land evaluation.

The 1st of the three training was attended by eight participants from Ethiopia Institute for Agriculture Research (EIAR), Ministry of Agriculture (MoA) (Ethiopia Soil Resource and Information, Extension Directorate and Soil fertility), and BENEFIT-SBN staff.  It focused on introduction to IRM, modeling agricultural innovation recommendation domains, understand rule bases in IRM and practical sessions in R, Fuzzy modelling of IRM.

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