Although much has been written on how to implement and facilitate innovation platforms efficiently, few studies support ex-ante appraisal of when and for what purpose innovation platforms provide an appropriate mechanism for achieving development outcomes, and what kinds of human and financial resource investments and enabling environments are required. Without these insights, innovation platforms run the risk of being promoted as a panacea for all problems in the agricultural sector.

Invasive species such as Ambrosia (an annual weed) pose a biosecurity risk whose management depends on the knowledge, attitudes and practices of many stakeholders. It can therefore be considered a complex policy and risk governance problem. Complex policy problems are characterised by high uncertainty, multiple dimensions, interactions across different spatial and policy levels, and the involvement of a multitude of actors and organisations. This paper provides a conceptual framework for analysing the multi-level and multi-actor dimensions of Ambrosia management.

Innovation Platforms are increasingly being proposed and used in agricultural research for development project and programs. Innovation Platforms provide space to farmers, agricultural service providers, researchers, private sector and other stakeholders to jointly identify, analyse and overcome constraints to agricultural development. Although innovation platforms have been successful in addressing agricultural challenges, there is a risk that they are promoted as a panacea for all problems in the agricultural sector... which would clearly be a big mistake.

The aim of this study was to identify the actors involved in the innovation system producers of corn Mexico Center Region, highlighting the role of the actors of institutional support in adoption of innovations. To do this, 490 corn producers served within the framework of MasAgro 2012 program, in the states of Guerrero, Hidalgo, Puebla, Morelos, State of Mexico and Tlaxcala were interviewed. The degree of adoption of innovations was measured, and using the methodology of social network analysis linking between actors analyzed.