Text mining, a cross between computer science and literary criticism, is a series of techniques available to everyone via Voyeur and the Monk Project. (thanks @silverasm) BookLamp is a book-matching project combining text-mining techniques (graphing pacing, action, dialogue, density, and description) with book reviews. (thanks @mljockers) It’s kind of a Pandora for book lovers.
@genebecker taught us how to create our own Augmented Reality via Hoppala and Layar – all you need is a computer (a browser), an AR-ready device (iPhone, Android, etc), and an idea. No programming skills required. Freebase, a structured entity database, is my new go-to resource for quick information (instead of wikipedia). (thanks @skud) @ManoMarks reminded me how helpful Google Fusion Tables is when you want to visualize your data. Turn a spreadsheet into a map with a handful of clicks.
Google, NEH, ODH, TAH, Mellon, Gates Foundation, California State Libraries Association, LSTA, ELF, and private donors were all mentioned in a session on funding models, methods, and resources. Clearest recommendation: more scholars need to approach librarians to propose projects ripe for collaboration.
As I find other reviews of THAT Camp SF, I’ll update this list.