 The initial start of this idea was to be able to find out what kind of people were in contact with each other, were TV carriers in contact with, non-carriers. The problem is that currently the way that this information is gathered is through a survey. So we asked people. People have lots of reasons to lie or not remember where they were, stuff like that. So it's a very unreliable way. So we wanted an electronic way of being able to track where these hotspots are that people get into contact with other people that potentially have diseases. Also within hospital environments, for example, where the most unexpected thing would be that janitor becomes the person who spreads disease and so on. So to be able to track that, we pulled these tags. These are sort of the first release candidate, as you could say. So basically what these do is they are able to communicate with each other. And the idea is that they're cheap enough that we can make lots of them. We can give them out to a big group of people and we'd be able to get back data about who was in contact with who. And we can also sometimes leave them in areas that we think are hotspots and we can find out how many people were in that area and so on. And then I've built a visualizer that takes all of this data and then visualizes it so you can immediately see who are super connectors, where are the hotspots, that kind of thing. Here you can see who's in contact with who and we can sort of rearrange that and see what the clusters look like. So these two were tags that saw each other and so on. And then, yeah, so we're going to have a leap motion interface that allows you to use your hand to be able to move these zoom-in, zoom-out, or take and so on.