The Research Computing team provides extensive support for the research needs of faculty and PhD students. Services include providing access to data sets, financial data retrieval, programming development, statistical consultation, research computer account administration, research software support, and individual training as well as workshops and online help resources.
Our specialists can assist you with your teaching or research project in such areas as statistical consulting, data retrieval, computing programming, the use of our research computing hardware environment, and on the use of some of the more common statistical packages (such as SAS and SPSS).
The research computing environment consists of several high-performance servers in a grid configuration running Red Hat Enterprise Linux. These systems are designed to run computationally intensive numerical calculations as well as large scale statistical applications. All nodes are connected to the Business School main network and, in turn, to desktop computers located in offices here, at home, and around the world. Available software includes mathematical and statistical software, compilers and development tools, and internet tools.
In cases where the collection of programs and data sets does not satisfy a research need, faculty and PhD students can submit requests for additions to the RC environment.
All requests will be handled as follows:
Conduct an Interest Survey among Faculty & PhD students.
Analyze survey results and take appropriate actions
Actions taken conform to the following guidelines:
Little or no response to survey
The Requestor will need to come up with funding.
Moderate to Strong response to survey, concentrated in few departments
The interested departments, along with the Requestor, will need to come up with funding. Research Computing can help with the negotiation of cost-sharing if desired.
Moderate to Strong response to survey spread over all departments
Computing Services and/or the Kresge Library will contribute some or all of the funding and help build a cost-sharing plan for the remainder.
The threshold of response required to attain the categories Little, Moderate and Strong varies directly with the cost of the software/dataset. That is, the higher the cost the higher the category cut-offs.
In all cases, if the data/software is funded, Computing Services and/or the Kresge Library will make the purchase, and install, maintain, and support the software or data set.