Categories
ACRL ALA presentation

Wave upon Wave

In a little more than a week, on March 2nd, I’ll be doing an online webinar for ACRL entitled Wave upon Wave: Navigating the New Communication. The goal is to explore and explain Google Wave, and look at use cases for libraries. Wave lost a lot of luster immediately after the launch, but I still think there’s a ton of promise and potential there. Here’s the learning outcomes that we’ll be trying to get to:

Participants in this webcast will come away with an understanding of the basic functionality of Google Wave. As well, they should be able to envision multiple communicative uses for Wave within their library, including both internal and external communications.

We’ll probably also talk a bit about Buzz, and the ways in which the various Google properties relate to one another. I hope to see you there!

Categories
Digital Culture Media

Google Wave and Igor

For the BIGWIG Showcase this year, I talked about and put together a presentation on Google Wave, and what I think it will do to library services. One of the things I talked about was the ability for software robots to watch the Wave, and alter it in specific ways. Well, it looks like we’ve got our first bibliographic example of this, with Igor. Stew over at Flags & Lollipops has put together a robot that will watch a given Wave for mentions of citations, and then query and automagically fill in footnotes from PubMed, Connotea, or CiteULike (for now, I’m sure that Zotero and other coverage is easily possible).

I’ve got no idea how he did this, given that Wave isn’t public yet…but the demo shows what’s going to be possible with Wave. Take a look, and get ready….Wave might change everything. You may need to click through and enlarge the player to really see what’s going on.

Igor – a Google Wave robot to manage your references from Stew Fnl on Vimeo.

Igor is a robot for Google Wave written in Java and running on Google App Engine.

It allows users to pull in references from PubMed & personal libraries on Connotea or CiteULike by querying services with keywords that they supply inline with the article you’re writing.