As a relatively recent convert to Scrivener, I feel that I am only starting to scratch the surface of some of the features that it offers. Despite its lack of a seamless interface with Zotero (another tool with which I could not do without), I have found myself using Scrivener increasingly over more familiar word processing tools for projects both small and large. But after seeing a post (or a comment on a post? or somewhere else entirely?) on ProfHacker, I have now started to use Scrivener for other purposes including course management. And now I can no longer imagine organizing a course and teaching it without the program. I am interested in traveling further down this slippery slope and talking with other members of the Scrivener cult to discuss how you are using it. Ideally, this session would provide a venue for hardened Scrivener vets and newbies alike, allowing us to share best practices for the use of the tool for writing and for whatever else people have found themselves using it.

4/12/14 Update
Links mentioned in session:
1. Overview of Scrivener Features
2. Tutorial Videos
3. A fantastic post by Ryan Cordell on ProfHacker discussing academic use of Scrivener
4. Case Studies
5. Using Zotero and Scrivener

A comment on another proposal mentions algorithmic text analysis. I would love a session focused on how people are taking advantage of digital tools to deal with particularly textual information and questions of textual (or even literary) analysis. This could include tools like Voyant, approaches like topic modeling (with software like MALLET), or using a language like Python (with a package like NLTK) to manipulate text in other ways. (Indeed, I’d be just as interested to learn about other things that I’ve never heard of!) And, as I hope my title suggests, just as interesting as questions of what software to use, and how to use it, are questions of why folks are doing such analysis. What sorts of questions can we ask?

If there is a critical mass of interest in these sorts of questions, we could have a couple sessions focused on different technologies—one on topic models, one on Python and NLTK (for instance), et cetera.