In April, when we created the data challenge, there were lots of hackathons that were on the go, there were lots of individuals kind of creating new applications. If you recall, there was contact tracing, which was lots of applications that were kind of in vogue at the time, there was global initiatives between, say, Apple and Google to create a protocol for contact tracing. And if you picked up a paper, you're likely to see kind of people working on this problem. And what we saw was, you know, going back to that list of, you know, hundreds of potential COVID-19 data tools and solutions that, that were in that spreadsheet that we were seeing passed around in March, April, we kind of saw that as kind of something to be addressed through kind of a crowd sourced problem where we're looking at, you know, what has already been created. We don't want to add more solutions to that spreadsheet, frankly, through this challenge in the midst of a crisis. So instead, we're saying what have you already created? Where is there already existing user capacity, people familiarity with tools, so that we're not trying to teach people to use new tools, at the same time, we're responding in the context of emergency. And so the data challenge picked up. The idea was to pick up on cases or rather tools that already had existing capacity and user bases that were then pivoting to address COVID-19.