Difference between revisions of "2013 preconference proposals"
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==Half Day Afternoon== | ==Half Day Afternoon== | ||
| + | === Data Visualization Hackfest === | ||
| + | * Description: Want to hack/design/plan/document on a team of people who enjoy learning by creating? Interested in data visualization? Well, this hackfest is for you. Not familiar with the concept of a hackfest? See Roy Tennant's [http://www.libraryjournal.com/article/CA332564.html "Where Librarians Go To Hack"] and the page for the [http://access2010.lib.umanitoba.ca/node/3 Access 2010 Hackfest]. We propose a half-day hackfest with a focus on visualization library data -- think stuff like library catalog data, access/circulation statistics, etc. Here's how it works, roughly: | ||
| + | - we'll (you'll!) do lightning tutorials for some data visualization tools, toolkits (R? d3js? ?), datasets. | ||
| + | - we'll separate into groups and hack on stuff. | ||
| + | - at the end of the day, we'll present our progress. | ||
| + | |||
| + | Not a code hacker? No worries; all skill sets and backgrounds are valuable! | ||
| + | |||
| + | * Duration: half-day | ||
| + | * Contact: Chris Beer (cabeer at stanford.edu) | ||
==Half Day Evening== | ==Half Day Evening== | ||
Revision as of 17:53, 22 October 2012
Proposals close Friday, November 2 at 5pm PT.
Spaces available: 4+ Rooms
Please follow the formatting guidelines:
=== Talk Title === * Presenter/Leader, affiliation (optional), and email address (mandatory!) * Second Presenter/Leader, affiliation, email address, if applicable Description.
Contents
Full Day
Half Day Morning
Half Day Afternoon
Data Visualization Hackfest
- Description: Want to hack/design/plan/document on a team of people who enjoy learning by creating? Interested in data visualization? Well, this hackfest is for you. Not familiar with the concept of a hackfest? See Roy Tennant's "Where Librarians Go To Hack" and the page for the Access 2010 Hackfest. We propose a half-day hackfest with a focus on visualization library data -- think stuff like library catalog data, access/circulation statistics, etc. Here's how it works, roughly:
- we'll (you'll!) do lightning tutorials for some data visualization tools, toolkits (R? d3js? ?), datasets. - we'll separate into groups and hack on stuff. - at the end of the day, we'll present our progress.
Not a code hacker? No worries; all skill sets and backgrounds are valuable!
- Duration: half-day
- Contact: Chris Beer (cabeer at stanford.edu)
