Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms

This cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. Lessons from...

Descripción completa

Detalles Bibliográficos
Autor principal: CGIAR Independent Advisory and Evaluation Service
Formato: Brief
Lenguaje:Inglés
Publicado: CGIAR Independent Advisory and Evaluation Service 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/125082
_version_ 1855527533200539648
author CGIAR Independent Advisory and Evaluation Service
author_browse CGIAR Independent Advisory and Evaluation Service
author_facet CGIAR Independent Advisory and Evaluation Service
author_sort CGIAR Independent Advisory and Evaluation Service
collection Repository of Agricultural Research Outputs (CGSpace)
description This cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. Lessons from the brief are intended to be applied across CGIAR's portfolio and to inform interventions outside CGIAR that pursue similar objectives
format Brief
id CGSpace125082
institution CGIAR Consortium
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher CGIAR Independent Advisory and Evaluation Service
publisherStr CGIAR Independent Advisory and Evaluation Service
record_format dspace
spelling CGSpace1250822025-08-15T09:36:28Z Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms CGIAR Independent Advisory and Evaluation Service research agriculture This cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. Lessons from the brief are intended to be applied across CGIAR's portfolio and to inform interventions outside CGIAR that pursue similar objectives 2022-09 2022-10-18T10:13:02Z 2022-10-18T10:13:02Z Brief https://hdl.handle.net/10568/125082 en Open Access application/pdf CGIAR Independent Advisory and Evaluation Service CGIAR Independent Advisory and Evaluation Service (2022). Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms. Brief. Rome: CGIAR Independent Advisory and Evaluation Service (IAES).
spellingShingle research
agriculture
CGIAR Independent Advisory and Evaluation Service
Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title_full Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title_fullStr Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title_full_unstemmed Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title_short Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
title_sort cross cutting learning from evaluations cgiar excellence in breeding and big data in agriculture platforms
topic research
agriculture
url https://hdl.handle.net/10568/125082
work_keys_str_mv AT cgiarindependentadvisoryandevaluationservice crosscuttinglearningfromevaluationscgiarexcellenceinbreedingandbigdatainagricultureplatforms