This blended learning program lead by ILRI draws on the practice briefs, the workshop experience and materials from partners including IITA, Wageningen University, ICRAF and FARA. It comprises an online component of 14 modules and a 3-day workshop. The final component of the course is a face-to-face workshop which provides learners with opportunities to apply their newly acquired knowledge to the challenges of their own platform or that of their peers. The workshop features role plays and collaborative group work based on actual scenarios.
In early 2020, GFRAS provided support to the Agricultural Extension in South Asia (AESA) Network and the Bangladesh Agricultural Extension Network (BAEN) in order to customize one of the NELK Modules in the context of Bangladesh. The BAEN Executive Committee selected the GFRAS NELK Module 7 on ‘Facilitation for Development’ for customization. AESA and BAEN jointly implemented the development of the customized module for Bangladesh. The process of customization consisted of five phases spread over a span of six months.
Approved by TAP partners, the TAP Work Plan 2016 describes the activities to be carried out in 2016 to achieve TAP's objective of promoting more coherent and effective capacity development interventions for agricultural innovation.
Forest genetic resources (FGR) are the heritable materials maintained within and among tree and other woody plant species that are of actual or potential economic, environmental, scientific or societal value. They are crucial to the adaptation and protection of our ecosystems, landscapes and production systems, yet are subject to increasing pressures and unsustainable use.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.
This poster analyzes the status, challenges and opportunities of the Kyeni local innovation platform that was put up to sustainably evaluate, disseminate and hasten adoption of CA technologies involving maize/ legume cropping systems in eastern Kenya. Establishment and maintenance of IPs is one of the action oriented research approaches for technology transfer in the ACIAR funded Sustainable Intensification of Maize-Legume Cropping Systems for Food Security in Eastern and Southern Africa (SIMLESA) project such as Kyeni Local Innovation Platform.
The objective of this note is to provide the opportunities for exploiting the information and communication technologies (ICT) for building capacity in addressing the challenges for formal agricultural education in the context of emerging challenges for agriculture and its development. It includes key messages from various GCARD Regional Consultations
A Communique summarizing the outputs of the GFAR Retreat held from 30th March to 1st April 2007 in Alexandria, Egypt.
This document will try to outline the main specific characteristics of the thematic area of Post Harvest and Rural innovation. Also, following the Regional Priority Setting Exercise1, and the analysis of various initiatives (see annex 1), it will try to underline which commonalties and research priorities have been identified within the broad concept of this thematic area.