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SIG-SI workshop at ASIST

i presented at a really interesting workshop this morning, at the ASIST 2008 conference. i was a bit nervous about it at first actually, because i wasn’t sure what “social informatics” meant to the workshop organizers and other participants — so i didn’t know how my presentation would be received. turns out, i felt totally comfortable presenting to the group and got some positive feedback. it was a really great, thought-provoking morning! here’s the list of presenters:

Eric Meyer, Oxford Internet Institute, UK
The Role of e-Infrastructures in the Transformation of Research Practices and Outcomes

Theresa Dirndorfer Anderson, Creative Practices Group, Faculty of Arts and Sciences, University of Technology, Sydney, AUS
Research in action: taking an articulation approach to examine the roles of information technologies and human interaction in academic practice

Frank Lambert School of Library and Information Science, Kent State University
The social shaping of an online community information provider

Emilee Rader School of Information, University of Michigan
Group Information Repositories as Social Systems
[ my submission, and my slides ]

Ying Ding, SLIS, Indiana University
Modeling Social Tagging: Upper Tag Ontology (UTO)

Mike Tyworth, Penn State College of Information Sciences and Technology and Steve Sawyer,  IST, Syracuse University
Social Informatics and the Social Analysis of Computing

Kristene Unsworth Information School, University of Washington
Information use, sharing and surveillance: the role of the citizen-informer in the war on terror

Ken Fleischmann College of Information Studies, University of Maryland
Social Analysis of Transparency in Virtual Worlds: Ethical Imperatives for Simulation Design

Inna Kouper, SLIS, Indiana University
The composite model of critical discourse analysis: Examining mutual shaping of people, information, and technology through discourse

Steven Paling, SLIS, University of Wisconsin-Madison
Toward a Theory of Technological Transformation in Artistic Genres

Keynote address: Mark Ackerman, Electrical Engineering and Computer Science and School of Information University of Michigan

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submitted!

phew. the CHI note is submitted! thank you thank you thank you to everyone who reviewed the paper for us; it is much better for your assistance.

i used to love fall. when i was a little nerdy kid by the time August rolled around i was so ready to go back to school, i couldn’t WAIT for fall. for the past few years though, September has mostly meant sleep deprivation. with getting back into the teaching groove and the CHI deadline every year, i don’t look forward to fall as much as i used to.

and i can’t slow down yet! the annual phd student poster session is friday, and i haven’t even thought about making a poster yet. i am also in the process of scheduling my pre-proposal meeting and proposal defense, both to take place before November. ahhh, grad school.

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good news! and other stuff

I found out yesterday that I’ll be going to Florida in November for the GROUP ’07 doctoral consortium. It isn’t as exotic a location as Rio de Janeiro, but the focus of the conference is more relevant. I was supposed to go to Rio in a couple of weeks for the INTERACT ’07 doctoral consortium, but my passport renewal took an insanely long time (as happened to a lot of people this summer). And, I couldn’t get a visa without a passport. I finally received my passport about a week ago, too late to make the travel arrangements. But, at least now I have it.

Data analysis on the Taboo study has been progressing, slowly. I’ve been meaning to post about it, but every time I think I’ve done enough to sit down and write about, I think of something else to try. The latest ‘something else’ is transcribing one of the other media conditions, both because it will make a more interesting submission to CHI 2008 (in Florence!!), and because I think the results I’m getting suggest that something is going on, but I need more data. I’m just having trouble interpreting the results I have so far, and I’m hoping the additional data will help clear things up. If not, well, I’m really happy to finally have had the chance to analyze this data, and I’ve learned a lot about MANOVA in the past few weeks!

Transcribing the ‘audio-only’ condition has provided me with a few laughs. Here’s an example of one pair who did not previously know each other. The clue-giver (B) clearly has an incorrect model of his partner’s (A) knowledge where Russian composers are concerned. [ listen: AIF 276k ]

B:tchaikovsky wrote a lot of
A:books, novels?
B:tchaikovsky.
A:russian?
B:he’s a musician. musician.
A:oh
B:he composed. it’s like in a theater, but it’s a musical
A:opera
B:not an opera, tchaikovsky was not into opera, but
A:ballet

What you can’t tell from the transcript (without listening to the audio) is that B has a recognizably Russian accent, and seems incredulous that A has never heard of Tchaikovsky. Ahhh, Taboo.

This same pair, however, got one of the most difficult words in just one clue. [ listen: AIF 218k ]

B:it’s an animal. ugly, big red nose and big red butt
A:baboon

Amazing! And, it is things like this that are making the data hard to analyze. So much variability!

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