Sure. So, you know, policy isn't so much my wheelhouse. But I do think a lot about how the data we collect on immersive technologies and similar technologies will actually influence individuals in ways that, you know, we need to sort of think about now, right, so Bill was talking about being an inflection point. These are the kinds of things we have to think about as systems are planned and built. And so you know, from a research perspective, when we think about moving forward into the metaverse, I mean, I talked about some of the technology we're likely to use to experience aspects of the metaverse being immersive, but what does that really mean? I mean, it means that it envelops all of your senses, you can superimpose it on the real world. That's another option. But it also means a lot of tracking technologies. So it means technologies related to motion capture eye tracking, people are building physiological measurement into headsets. You know, we're envisioning providing scent and haptic interfaces for people, again, all runs on data, all the data goes somewhere, you know, to make a VR environment move, right now, we are capturing data, at least, you know, 60 times per second, 90 times per second, even more. All that data can impact people, because we can make all kinds of inferences from it. So we can look at those data. And we can tell, you know, with some degree of of accuracy, whether you've had a traumatic brain injury in the past, you know, we can use it to look at early onset of, you know, degenerative brain disease. I mean, there are all sorts of things researchers are doing right now that are very much related to the kinds of data that we see building sort of the backbone of our experiences, and the metaverse in the future. So these are the kinds of things that can have real impacts on people, you know, and the medical stuff is sort of where I live, but there are also things around figuring out people's preferences, their emotional states, their mindsets. I mean, it all sounds like science fiction, but I'm a social psychologist, and you know, there are all kinds of tells in our behavior as to our mental states. Okay, so these are the kinds of data that we need to think about. And we need to think about them kind of quickly, because they cannot have all kinds of implications for people to pay ending on, you know, whose hands they are in. I was just in the panel on XR and the workforce, you know, imagine your employer having that data if you're going to be using XR for employment via the metaverse, you know. So that's one of the data streams, I think we really have to think about, I think the other one in terms of individual impact is more related to sort of the not so much what you give off, but what comes in, right. So if your entire experience is data, who controls what you're seeing, probably algorithms and AI, you know, some to some extent, what you've chosen to see. But you know, that's going to become your reality. One thing we do know, you know, from psychology is that the brain does tend to treat VR experience as real life. Okay, so these things can become quite real. And these are a lot of issues we're still grappling with the research is nascent. It is, you know, really early days in all of this research, and I think there's a lot that we still need to figure out about how people experience virtual environments, virtual worlds, how we form communities, how we communicate, even really basic questions around how these actual VR technologies might influence a developing child's visual system. You know, these are the kinds of really early questions that we don't have really great answers to yet. And so, you know, very different realm from what some of my co panelists are talking about here. But I think it just goes to show, you know, how many places we really need to get better education, better understanding. And I think at the end of the day, better research better data to make our decisions based on