Virtual Infrastructure for Data Intensive Analysis (VIDIA) unites SUNY Oneonta and University at Buffalo's Center for Computational Research to support the analysis of large datasets by social science students at Primarily Undergraduate Institutions (PUIs). VIDIA is hosted by the Center for Computational Research (CCR) at the University at Buffalo and was made possible through a 2013 SUNY Innovative Instruction Technology Grant (IITG) grant.
Large datasets culled from social media can easily grow to a size beyond the analytical capability of common software tools. Undergraduate institutions often lack the computing and networking infrastructure and support personnel needed to allow students and researchers to create, manipulate, and analyze such extremely large datasets. In order to provide the tools necessary to expose students to data intensive computing and analysis techniques, the Center for Computational Research (CCR) at the University at Buffalo is teaming with SUNY Oneonta to establish a collaborative virtual community focusing on data intensive computing education in the social sciences.
SUNY Oneonta has integrated the analysis of large datasets into coursework in Sociology, Political Science and Philosophy. The use of these data centers upon a social-scientific examination of how moral claims and discourses are created, sustained, altered and challenged within the electronic sphere. Faculty members captured and analyzed data and accessed the Twitter Application Programming Interface (API). SUNY Oneonta has developed a strong working relationship with UB, fostering a collaborative environment where their students and faculty can conduct intensive data analysis not otherwise possible.
The SUNY Oneonta team includes members of the Political Science, Sociology and Philosophy departments, and the Teaching, Learning and Technology Center. They engage undergraduates to use open-source analysis tools for data-intensive computing on pertinent social science datasets, such as the results of Twitter searches.
SUNY Oneonta has integrated the analysis of large datasets into social sciences coursework. The use of these data centers upon a social-scientific examination of how moral claims and discourses are created, sustained, altered and challenged within the electronic sphere.
Participating SUNY Oneonta faculty and staff:
- Dr. Brian Lowe, Social Science
- Dr. Greg Fulkerson, Social Science
- Dr. Bill Wilkerson, Political Science
- Ms. Diana Moseman, Teaching, Learning and Technology Center
- Mr. Tim Ploss, Teaching, Learning and Technology Center
UB Center for Computational Research (CCR)
University at Buffalo's Center for Computational Research (CCR) is a leading academic supercomputing facility with more than 8,000 processing cores producing over 100 Tflops of peak performance compute capacity and 600 TB of high-performance storage. The group has extensive experience developing both virtual organizations and analysis tools for high-performance computing (HPC) users. CCR's expertise stems from their involvement with grid computing, in projects such as XSEDE and Open Science Grid, and with collaborative virtual community building through the VHub HUBzero-based project.
With VIDIA, CCR provides computing and networking infrastructure to allow students to create, manipulate, and analyze multi-terabyte datasets. CCR deploys and supports open-source analysis tools for Oneonta social sciences students and faculty to perform data-intensive computing.
Participating SUNY Buffalo CCR staff:
- Ms. Jeanette Sperhac
- Mr. Steve Gallo
- Ms. Cynthia Cornelius
- Dr. Matt Jones