Virtual Lightning Talks

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One of the highlights of the Code4Lib annual meeting is the “lightning talk” round: a fast-paced talk on a topic of the presenter’s choosing. During the meeting they are scheduled on an ad-hoc, first-come-first-served basis on the day of the event. The lightning talks are an opportunity to provide a platform for someone who is just getting started with public speaking, who wants to ask a question or invite people to help with a project, or for someone to boast about something he or she did or tell a short cautionary story. These things are all interesting and worth talking about, but there might not be enough to say about them to fill up a full session timeslot.

“Virtual Lightning Talks” replicates this conference activity online in a virtual meeting environment. Each one-hour block consists of up to eight six-minute sessions. Presenters show their work by sharing their entire desktop; the presentation can consist of slides, web browser, command-line shell, or any other application that can be shown on the desktop.

Code4Lib Virtual Lightning Talks is using Google Hangouts. Viewers can watch the event streamed live via Google Hangouts On Air. The talks are recorded for later viewing.

Presenter Guidelines

Technical Requirements: Google+ account plus the Google Hangouts browser plugin. In addition, the presentations will use Voice-over-IP (VoIP), so you must have a microphone to present (and preferably a headset to eliminate echo).

At the start of the hangout: Presenters will be invited to the hangout. The hangout will open 30 minutes prior to the scheduled start time. If you want to have extra time to test the system and get ready for your presentation, sign in during this 30 minute window.

At your presentation: The em cee will give you full control of the presentation software, and you'll be able to share your full screen or just a window with the participants -- they will see what you see on your screen. Audio tones will cue you as to how much time you have left: five tones is five minutes left, four tones is four minutes left, and so forth. T wo quick high-pitched tones means you have thirty seconds, and a long high-pitched tone means that time is up. You may want to run you own countdown timer to keep track of time as well.

Virtual Lightning Talks #3 -- Fall 2013

Postponed until Fall 2013; exact date to be published later. Presenters can come in 30 minutes early to test the environment. (Note: the Google Hangout event is set to start at 1:00pm; the 30 minute difference between the Hangout start time and the actual start time is to give presenters a chance to come in and test the Hangout environment.)

Notable differences from Virtual Lightning Talks #2:

  • Presenters will have 6 minutes (plus a little bit extra at the beginning to account for the start tones) rather than 5 minutes
  • The Hangout will open 30 minutes before the official start time to give presenters a chance to test the environment

Presenter Signup

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Virtual Lightning Talks #2 -- April 3, 2013

Screencasts of individual sessions saved to the Internet Archive are linked below.

Name Email Address Topic
Terry Brady twb27@georgetown.edu File Analyzer and Metadata Harvester
Code Slides
Misty De Meo misty.de.meo@museumforhumanrights.ca Transitioning a legacy thesaurus to SKOS/RDF
Roy Tennant tennantr@oclc.org Under the Hood of Hadoop Processing at OCLC Research
for background see Adventures in Hadoop
Kate Kosturski librariankate7578@gmail.com How I Taught Myself Drupal In a Weekend (And You Can Too!)

Virtual Lightning Talks #1 -- April 29, 2011

Screencasts of individual sessions saved to the Internet Archive are linked below.

Name Email Address Topic
Edward M. Corrado ecorrado@binghamton.edu CodaBox: Using E-Prints for a small scale personal repository
Luciano Ramalho luciano.ramalho@bireme.org MARC-DM: a JavaScript API for indexing MARC-JSON records in CouchDB
Michael Appleby, Youn Noh michael.appleby@yale.edu, youn.noh@yale.edu Extending VuFind for cross-collection search
Jay Luker jluker@cfa.harvard.edu Extending Solr's default Similarity scoring for longer, fulltext documents