In order to expose undergraduates in the humanities to data intensive computing, University at Buffalo's Center for Computational Research (CCR) teamed with State University of New York (SUNY) Oneonta.

The resulting HUBzero-based Virtual Infrastructure for Data Intensive Analysis (VIDIA) has now supported three semesters of coursework at SUNY Oneonta. Using VIDIA, Social Science faculty have integrated analysis of large text-based datasets into their coursework and research, using tools such as RapidMiner and RStudio. The environment is now more than 300 users strong.

The collaboration is expanding to additional institutions and disciplines, to prepare more students for careers in data analytics. One new collaborator, SUNY Geneseo, offers courses that use VIDIA for linguistic analysis. Students perform research in digital humanities, focusing on text encoding, collaborative interpretation, text mining, and visualization.

We will present an overview of the recent work supported on VIDIA, as well as student impressions, and current status of the hub.

Jeanette Sperhac

Jeanette Sperhac is a Scientific Programmer at the University at Buffalo's Center for Computational Research (CCR). She earned an M.S. in Computer Science from the University at Buffalo and an M.S. in Chemistry from the University of Colorado. She has worked in both private industry and the public sector.

Jeanette supports vidia.ccr.buffalo.edu, a HUBzero instance hosted at CCR. She is a programmer for XDMoD, an auditing framework that provides metrics for high performance computing centers. Jeanette is also the primary instructor for the Eric Pitman Annual Summer Workshop in Computational Science, hosted at CCR.

HUBzero Foundation

Researchers should cite this work as follows:

• Jeanette M Sperhac (2016), "Virtual Infrastructure for Data Intensive Analysis: An Update," https://help.hubzero.org/resources/1519.

  BibTex | EndNote

1. hubbub
2. hubzero
3. 2015