The goal of this project is to develop GroupScope, an analytical tool that cuts the task of studying large dynamic groups down to manageable proportions, and to apply it to the study of large dynamic groups. This project was funded by NSF Grant 09-41268.
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People
- Investigators
- Dorothy Espelage
- Margaret Fleck
- David Forsyth
- Mark Hasegawa-Johnson
- Kenton McHenry
- M. Scott Poole
- Graduate Students
- Sujeeth Bharadwaj
- Melissa Dobosh
- Alex Yahja
- Arthur Kantor
- Shobhit Mathur
Research overview
The goal of this project is to develop GroupScope, an analytical tool that cuts the task of studying large dynamic groups down to manageable proportions, and to apply it to the study of large dynamic groups. Advances in computational video, audio, and text analysis and in middleware have reached the point where it is feasible to construct an integrated analytical environment for management and analysis of the huge and complex datasets needed to study LDGs. GroupScope will be like a microscope for human behavior, enabling researchers to “zoom in” on small subgroups of two to five and then to “zoom out” to comprehend patterns in the larger network that makes up the entire group, and then to interrelate the two and the multiple layers in between. GroupScope will not replace the human analyst. Rather, working with GroupScope will enable the human analyst to optimize the use of his/her limited time by devoting it to higher level analytic tasks.