 My name is Marek van Wijk. I work for the International Livestock Research Institute as a senior scientist. And I work on farming systems analysis. And our work is really concentrating on smallholder farming systems in developing countries and especially focusing on the relationship between agriculture productivity and human diets. There's a lot of data around, but still there's quite some pieces are missing in the puzzle in relating quantitatively agriculture production and human diets. The idea has always been that if we improve agriculture productivity, that would also automatically lead to improvements in human diets. However, the data that are available show that that relationship is actually much more complex and gender equity. And especially the control women have over cash and food production seems to play a very important role in mediating those relationships. A major problem is that at the moment there are very few harmonized data sets available that can result in sort of generalized relationships across farming systems. How do that, does that all work out? What is determining those relationships and how can we prove those relationships? So our solution is to develop a new tool that's called Romance. It's a real household multiple indicator survey. And we have now applied it across a wide range of systems where we have standardized data available across a range of performance indicators of those farm households. So we have no data from Central America, Sub-Sanerian Africa, South and Southeast Asia. For this project, we looked especially on the contrast between how things work out in East Africa and Southeast Asia. And the contrast is quite clear. For example, in East Africa, if farmers increase their market orientation so they try to produce more cash with their food production, then that does not automatically lead to improved human diet. The cash is spent in other ways rather than buying more diverse foods. Whereas in Southeast Asia, where the women have much more control over the cash and over the agriculture production, it does lead to improved diets. In East Africa, our increased market orientation only leads to more improved human diets when it's also accompanied by more diverse crop production, which is typically the food production side is controlled by women in East Africa. So those are some very interesting contrasting findings and with now we try to apply it across all the data sets we have and are being collected. And in the up-going period, we try to analyze all those data sets to derive some generic patterns about how gender equity, social culture, conditions mediate the relationships between agriculture production and the intensification of production and human diets. Yeah, we hope that this information will help us to avoid common mistakes we make in terms of projects and the type of interventions we design. So for example, in East Africa, legumes are often considered the women's crops, women control production and the use of the crops within the food and within the diets. But if we would, for example, improve the market orientation or the market access of these crops so that they can generate cash for the families, it's often that the men take over. So if we know these problems and we know these constraints, we can design more realistic interventions that do not fall into the same traps as we have always fallen in the past years, in the past decades, you could say. So it helps us to design more realistic interventions and to also be more realistic about the effects we can expect from certain interventions. Yeah, and hopefully in the future, it will also allow us to design new interventions that can improve the imbalance in gender equity.