This document provides an overview of the Tropical Agriculture Platform and highlights its main goals and activities.

Based on three regional needs assessments, a strategic Action Plan has been formulated and adopted by the Partner Assembly of the Tropical Agriculture Platform (TAP), held in China in September 2013. It defines the outcomes, outputs and activities of TAP, which are considered instrumental for facilitating effective and sustainable Capacity Development for Agricultural Innovation Systems in tropical areas.

This paper provides background information and introduce the topics of the conference  "Innovation systems for food security and nutrition: understanding the capacities needed". Organized by the Tropical Agriculture Platform, the conference aimes at bringing together the issues of capacity development, agricultural innovation, and food security and nutrition with the objective of developing recommendations for policy-making. 

This is the list of partners of the Tropical Agricultural Platform (updated to April 2021).

Adapting through innovation is one way for rural communities to sustain and improve their livelihoods and environments. Since the 1980s research and development organizations have developed participatory approaches to foster rural innovation. This paper develops a model, called the Learning-to-Innovate (LTI) model, of four basic processes linked to decision making and learning which regulate rate and quality of innovation. The processes are: creating awareness of new opportunities; deciding to adopt; adapting and changing practice; and learning and selecting.

The three system CGIAR research programs on Integrated Systems for the Humid Tropics, Dryland Systems and Aquatic Agricultural Systems have included “capacity to innovate” as an intermediate development outcome in their respective theories of change. The wording of the intermediate development outcome is “increased systems capacity to innovate and contribute to improved livelihoods of low-income agricultural communities.” This note captures the CGIAR's collective thinking about this intermediate development outcome from a systems perspective to clarify it and inspire other programs.

This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.

This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.