 Who's a reporter for reproductive and developmental biology? He's coming. OK, so let's skip over that because I know Lynn is ready for host microbial vector biology. So we have a couple of big item points. We may take a lot of notes. But so some big ideas. Fostering interdisciplinary interaction and data sharing with training for data scientists. And actually, I would add to that training for genomicists as well, because it's a two-way street. Focusing on intersecting and connecting research projects currently focused on different scales and different silos as well. Example, host pathogen to microbiome to environment. So identifying those opportunities to connect across disciplines and across even types of institutes that we all work for or with. Third, added value opportunities. We love that. As we were corning it, these are projects, really. So you're supporting ideas where they're potentially higher risk, but it's cross-disciplinary project. So say you're getting funded for a particular project. Have one piece and component of that project where it's outside of your box, outside your comfort zone. It identifies a new collaboration, a new consortium, a new area of interest that you have a set partner to work with potentially to actually advance these cross-reaching opportunities. And again, for those as well, postdoctoral opportunities on products you already have, identifying at least one postdoctoral person in your group to do some of these outside the box ideas. And lastly, capturing the breadth of information. So we capture change over time, response to new pathogens, capture the background state, as well as when something exciting happens. This is also brought up in the pathogen idea that we want to look at these environmental activities, things going on before they become pathogens, before there's an outbreak, to have that context. And we had a great team up on the panel. So thank you, everyone.