If you are interested in learning more about web science and the Web Science Initiative @ Georgia Tech, we encourage you to join our mailing list and join us for the Web Science Teas.
Get Involved
Mailing List
The Web Science mailing list is a low-volume email list for individuals at Georgia Tech to exchange information and discuss topics related to web science. Event announcements, interesting news items and general discussions about web science are all welcome.
Please subscribe by following this link or by sending an empty mail message to web-science-join at cc.gatech.edu. The mailing list archive is currently only available to list members.
Web Science Tea Meetings
Web Science Teas are an informal way to keep in touch with web science research at Georgia Tech. The meetings generally feature a short presentation about on-going work which is followed by a general discussion. They are held on Fridays 1:00-2:00pm, several times a semester; the location varies between TSRB and the Klaus building. Tea and dessert are provided. All are welcome!
Web Science Tea: Privacy and Trust in the Age of Disclosure
Friday, April 18, 2008 - 1:00pm — 2:00pm
Our next Web Science Tea will be on next Friday, 1-2p in KACB 3100. Steve Crain from CSE will lead the discussion on issues relating to security, trust and privacy. We hope to see you there.
Steve's slides are available here.
Web Science Tea: Information Reputation, Ratings, and Recommendation on the Web
Friday, April 4, 2008 - 1:00pm — 2:00pm
We would like to invite you to our third Web Science Tea Meeting (with cookies, of course), this Friday, April 4, 1-2pm, at TSRB 223. Nick Diakopoulos will lead the discussion this week. He will be presenting parts from his research on collaborative information quality evaluation and analysis mechanisms for online media.
Nick's slides are now available.
Web Science Tea: Models for Social Networks
Friday, February 29, 2008 - 1:00pm — 2:00pm
Please join us for Web Science Tea on February 29th, at 1p in TSRB 113. Associate Professor Milena Mihail will lead a discussion on "Models for Social Networks."
Dr. Mihail's slides are available here (PowerPoint, 3.6 MB).