 In communicating data on migration, it is important to think about what you communicate. So do you communicate raw data, which is sometimes very difficult to understand and access? Do you build a bit of a sense around the data so you make it an information? Or do you create specific tools, studies, reports, where you put data and information into the right context to build the story and to inform policymakers but also the general public in a way that is clear to them. So we had a discussion today at the panel on communicating data on migration and it was very interesting to listen to different challenges related both to the data to make sure the data is reliable, it is accurate, that certain difficulties in producing statistics, certain limitations of statistics are presented in the right way not to undermine the credibility of the data that is produced. Also the need for peer reviews, the need to get back to the policymakers to check that data is relevant to make sure that the data is timely so it reflects a situation which is currently actual and interesting for the policymakers and the public in general. And also to make sure that you communicate in the right context, that you don't strip data of the right context that would enable people to really listen to you when you communicate it. That was a very big point. The credibility of data producers when they try to communicate because scientists are not necessarily the best communicators. How to bridge the gap between policymakers and data statistic producers? How to disseminate data in a credible manner? And how to be heard? It's a very big challenge. That was a very big part of our panel discussion. And one important thing is collaboration, is engaging, is listening to the policymakers making sure that you understand what their needs exactly are through all the process of data gathering, validation, presentation, visualization getting back to them, checking that we still remain relevant.