 I think what's really exciting about the work that we do in HyperStudio is to explore the possibility, the potential of digital media for learning and research in the humanities and social sciences. Digital humanities is not only an emergent, it's an exploding field. And in terms of the future trajectory of digital humanities, there's clearly an aspect of working with very large data sets. This is something that's very popular right now, and we need to understand what are the right tools to do that. The HyperStudio answers a really profound question. We've digitized amazing amounts of newspapers, books, films, videos, sound, now what? What do we do with this digitized material? And the HyperStudio is all about both developing tools and, with those tools, developing new ways to think about those data sets. Basically, they're allowing us to push the questions that have driven the humanities since, you know, for the last 1,000-plus years. They're allowing us to take those questions and push them in whole new directions. So HyperStudio has developed a number of tools, especially tools that allow very interesting data visualizations. One is, for example, a timeline. And timelines have been used for centuries, and they're very interesting timelines. And when you look around on the web what's available, they're very standard timelines. You know, it's always the linear timeline. But we see those tools as enabling tools to represent the data and to constantly modify the way you can visualize and represent the data. One project that we're working on is the U.S.-Iran project. It's a diplomatic history project about the missed opportunities between the two countries. And there are perspectives. For example, there are timelines and dates that are relevant for the Iranian side. But there are dates that are relevant for this process from the U.S. side. And if you can juxtapose these, you can immediately detect, for example, where are the gaps, because dates that are important for the Iranians might not be important for the American side. So around these moments in a data set, you can discover moments that are relevant for further research. For example, we have a project with the history department here at MIT, Jeff Ravel, who is a theater historian. And this is a project that we're doing in collaboration with the Committee Francaise in Paris. By representing the performance dates along a visual line here, one can immediately detect two gaps in the performance dates. So one immediately asks the question, what happened here? Why is there such a large gap? Well, it turns out by pulling in other kinds of information, it was actually the death of the French king Louis XV. Visualizing that in really interesting ways over time allows the scholars, the students, to gain very interesting new insights. In the humanities, we have to be the ones who influence the technical development, because we want the tools that are helpful for us. We want specific humanities tools that work in additional environments so that we can actually do the research and the teaching and the learning that we want to do and that are necessary for the humanities.