 Social science has a lot to tell us about how to make data collection and analysis more rigorous. I'll just mention one key concept now, triangulation. Triangulation is the use of many sources of information to answer the same question. If different sources of data are telling you the same thing, you'll have a lot more confidence that you're getting the right answer. For instance, assume you want to know if security in a community has improved. You might start with going to the police station and looking at crime reports. So you might add a survey. You ask people, do you feel more secure? You might do some observation in the community. You might go to the market and see are people coming to the market? Are children walking to school? By bringing all three of these sources of information together, you can be much more confident that your assessment of security in the community is accurate. I mentioned this concept of triangulation now because triangulation is particularly important in peacebuilding contexts. These environments are what we call data poor. It's often hard and expensive and even dangerous to get good data. This means we have to be very creative about gathering data. We always have to be thinking, where is that other source of information? How can I get a little more data to cross-check something or triangulate something? By doing this on an ongoing basis, we'll get better information and we'll be able to use that information to make better decisions about our programming.