Year 1 activities were mainly on establishment of the project team at the global and country levels. A Partnership Agreement between AGRINATURA-EEIG and FAO was formalized and signed, and practical coordination mechanisms established. A Specific Power of Attorney between AGRINATURA-EEIG members within CDAIS was created, agreed and signed by all members, serving as the consortium agreement among members.
A conceptual framework that promotes an integrated and comprehensive approach to Capacity Development for Agricultural Innovation Systems (CD4AIS Framework) was developed in Year 1 of the project. It argues that for innovations to emerge, functional capacities are needed. There are 4 functional capacities i.e. capacity to navigate complexity, to collaborate, reflect and learn and engage in strategic and political process. These capacities should be inherent within individuals, organisations, systems level (local and national level including policy systems).
This study aims to assess if AKIS are effectively disseminating integrated soil fertility management (ISFM) knowledge by comparing results from two sites in Kenya and Ghana, which differ in the uptake of ISFM. Social network measures and statistical methods were employed using data from key formal actors and farmers. Their results suggest that the presence of weak knowledge ties is important for the awareness of ISFM at both research sites.
The aim of this paper is to propose an innovative operational framework that couples life cycle assessment (LCA) and a participatory approach to overcome these issues. The first step was to conduct a progressive participatory diagnosis of the socio-ecological structure of the rural territory and to characterise the main cropping systems. The results of the diagnosis and other data were progressively triangulated, validated and consolidated with the stakeholders at the territorial level. The paper discusses the quality and validity of data obtained using a participatory approach.
The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system's capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management.
Most of today’s information services on the web are designed for PC users. There are few services fit to be accessed by mobile devices. In the countryside of China, most of the mobile phone users can not access the Internet. For this reason, was developed a General Agriculture Mobile Service Platform. The Platform is designed to make these information services fit to be accessed by mobile users, and to make those mobile phone users can use these services without Internet connection.
Powerpoint presentation on Global Partnership on Developing Innovation Capacities in Agriculture.
The Guide to Effective Collaborative Action is built on the foundation of 10 years' experience in transforming food and agricultural commodity systems by UNDP's Green Commodities Programme. It is broadening the application from support to commodity production to the transformation of food systems. The four building blocks of putting systems change into practice, integrated with backbone support and essential practices for stakeholder actions, provide a framework for Changing Systems through Collaborative Action.
Mountain agricultural systems (MASs) are multifunctional and multidimensional sociocultural systems. They are constantly influenced by many factors whose intensity and impacts are unpredictable. The recent Hindu Kush–Himalayan Assessment Report highlighted the need to integrate mountain perspectives into governance decisions on sustaining resources in the Hindu Kush–Himalayan region, emphasizing the importance of sustainable MASs.
This chapter proposes a network-based framework to analyze and evaluate participatory and evidence-based policy processes. Four network based performance indicators are derived by incorporating a network model of political belief formation into a political bargaining model of the Baron–Grossmann–Helpman type. The application of our approach to the CAADP reform in Malawi delivers the following results: (i) beyond incentive problems, i.e.