Representatives of Consulting for Statistics, Computing and Analytics Research (CSCAR) and the U-M Library (UML) will give an overview of services that are now available to support data-intensive research on campus. As part of the U-M Data Science Initiative, CSCAR and UML are expanding their scopes and adding capacity to support a wide range of research involving data and computation. This includes consulting, workshops, and training designed to meet basic and advanced needs in data management and analysis, as well as specialized support for areas such as remote sensing and geospatial analyses, and a funding program for dataset acquisitions. Many of these services are available free of charge to U-M researchers.
This event will begin with overview presentations about CSCAR and Library system data services. There will also be opportunities for researchers to discuss individualized partnerships with CSCAR and UML to advance specific data-intensive projects. Faculty, staff, and students are welcome to attend.
Time/Date: 4-5 p.m., November 1,
Location: Earl Lewis Room, Rackham Building
