An innovation platform is a space for learning and change. It is a group of individuals (who often represent organizations) with different backgrounds and interests: farmers, traders, food processors, researchers, government officials etc. The members come together to diagnose problems, identify opportunities and find ways to achieve their goals. They may design and implement activities as a platform, or coordinate activities by individual members. This brief explains what innovation platforms are and how they work, and it describes some of their advantages and limitations.

One of the most important things that innovation platforms do is to build the capacity of their members to innovate. Some key elements of innovation capacity include: self-organization, learning new skills, changing mindsets, valuing others’ roles in innovation, having a holistic view, being able to adapt to changing situations, creating new ideas, recognizing opportunities, being proactive, using indigenous ideas, and looking to the future. This brief uses the analogy of a traditional African cooking pot to explain how innovation capacity is developed within an innovation platform.

Many of the world’s food-insecure and undernourished people are smallholder farmers in developing countries. This is especially true in Africa. There is an urgent need to make smallholder agriculture and food systems more nutrition-sensitive. African farm households are known to consume a sizeable part of what they produce at home. Less is known about how much subsistence agriculture actually contributes to household diets, and how this contribution changes seasonally. We use representative data from rural Ethiopia covering every month of one full year to address this knowledge gap.

Recent research has analyzed whether higher levels of farm production diversity contribute to improved diets in smallholder farm households. We add to this literature by using and comparing different indicators, thus helping to better understand some of the underlying linkages. The analysis builds on data from Indonesia, Kenya, and Uganda. On the consumption side, we used 7-day food recall data to calculate various dietary indicators, such as dietary diversity scores, consumed quantities of fruits and vegetables, calories and micronutrients, and measures of nutritional adequacy.