Rick Stevens, PI
Goals: Social Informatics Data (SID) Grid will
enable researchers to collect real-time
multimodal behavior at multiple time scales.
Multimedia data (voice, video, images, and text,
numerical) will be stored in a distributed data
warehouse that employs Web and Grid services
to support data storage, access, exploration,
annotation, integration, analysis, and mining of
individual and combined data sets. The SID Grid
will include the development of a user interface
that supports access to the data regardless of
the user's geographic location and can be
coupled with existing Access Grid technology.
Significance: The creation of these cyber tools will provide the needed infrastructure for supporting collaborative research in the social and behavioral sciences. This infrastructure will encourage data sharing and accelerate the development of standards for collecting and coding physiological and behavioral data. Outreach and dissemination will consist of creating a website with tutorials for using the SID Grid, organizing workshops on use of the infrastructure, and soliciting researchers to conduct multimodal research in the SuperLab. These databases and software tools will change how we educate the next generation.
Accomplishments: Previously collected corpora and data archives in raw or partially analyzed forms will be integrated into the SID Grid. An interface will integrate software tools developed by domain experts to provide additional services for annotation and analysis. An additional feature will be the creation of a core facility, designed for collecting time synchronized video, audio, eye movement, and electrophysiological data from one or more individuals, which can be uploaded to the shared database in real time and simultaneously monitored via the Access Grid.