I am using my own research (and how I came to this research) as a trajectory for launching students into their own research. Below is my prezi; please feel free to use, adapt, alter accordingly to your own needs.

Instead, let me suggest for public libraries and the DPLA a new mission and vision, one that taxpayers WILL support for many years to come because no other competitor does it, and because if it is explained and implemented properly (see: nationally) it will build stronger, smarter communities, and ultimately build a stronger, smarter country.  In one sentence: public libraries need to support information production with the same level of commitment that they’ve always treated information consumption.

Please take action! If you aren’t already sharing works under a CC license and supporting our work, now is a good time. Bad legislation needs to be stopped now, but over the long term, we won’t stop getting new bad legislation until policymakers see broad support and amazing results from culture and other forms of knowledge that work with the Internet, rather than against it. Each work or project released under a CC license signals such support, and is an input for such results.

According to Google Scholar, David Blei’s first topic modeling paper has received 3,540 citations since 2003. Everybody’s talking about topic models. Seriously, I’m afraid of visiting my parents this Hanukkah and hearing them ask “Scott… what’s this topic modeling I keep hearing all about?” They’re powerful, widely applicable, easy to use, and difficult to understand — a dangerous combination.

Since shortly after Blei’s first publication, researchers have been looking into the interplay between networks and topic models. This post will be about that interplay, looking at how they’ve been combined, what sorts of research those combinations can drive, and a few pitfalls to watch out for.