 In this rapid global development, I anticipate that INCEF will be at the forefront and will be driving the development of neuroinformatics during the next decade. The new era of neuroscience is very much about data and data-driven approaches. And this is a challenge for the field because the next generation of neuroscientists absolutely need the skills to handle this data. Neuroscience is not anymore a biology field only. It's a biology field for sure, but it's also a computational field. And we're moving from the web lab to the web lab. I find it really, really frustrating when I see great graduate students wasting time reinventing the wheel. They're doing work that's already been done, they just don't have access to it. Before neuroscience was very closed, you produced your data, you analyzed your data, you threw it away, you published your paper. We're now asking you to do something different. We're asking you to openly share the products of your research. We're asking you to share your data. We're asking you to share your tools. Those are skills and those are practices that generally have to be taught and developed. And so an organization like INCEF is part of that very important community infrastructure that allows us to develop what the norms and practices are for both open and fair neuroscience. INCEF is doing a lot of work to make the world of interoperability in neuroscience very effective, as well as bringing people together from different backgrounds that handle different kinds of data to ensure that they can speak to one another and communicate effectively. INCEF is unique in that it's really a champion for data standards, open neuroscience. It's all sort of a family. We share the same problems. When we are meeting, we're actually finding solutions to these problems and working problems out and this is great. The thing I like most about INCEF is its educational products that it's putting out to the research community for free. So the training space is this place where the community can go and find training material developed by Hebrew, fans, HBP, OHBM, reproening. All the training material can be indexed and characterized for people to easily find a specific training on what they need in terms of neuroscience. So the training space is key for INCEF because we want to train a new generation of neuroinformaticians. The knowledge space is a little bit like a Wikipedia page. So you go find the term, have a description, but also have the tools and the data that are related as well as the literature around that term. So INCEF is bringing people together to learn from each other and to actually improve the ways in which we can use the science that's already been done to innovate for better science in the future. I think working together is important in practically all human endeavors. With regard to the nervous system and science, of course, one should strive to interact rather than compete.