The Institute for Data Intensive Engineering and Science will foster education and research in the development and application of data intensive technologies to problems of national interest in physical and biological sciences and engineering. The institute will provide faculty, researchers and students with the structure and resources needed to accomplish these goals.

Leadership

Intellectual leadership in addressing research challenges related to the “Science of Big Data,” establishing a group that leads the world in new discoveries enabled by next-generation data sets and analytics.  Leadership will also provide coordination of integrative activities, such as seminar series, visitors, and so on.

Vision

Continue to provide vision and oversight to high performance and data intensive computing across all of JHU, in the spirit that has proven to be highly successful over the last four years (HHPC 1 and 2, GPU).  Having a large shared facility enables leveraging needed for seeking further funding opportunities.

Management

Management of a significant high-performance computing facility. The Institute for Data Intensive Engineering and Science already has some facilities, and these need to grow as the new institute applies for new funding. A large HPC resource will be a magnet attracting new JHU researchers to the institute.

Incubator

An incubator for creating/curating/publishing new data sets at JHU that could be preserved within the JHU Data Archive. This would give the group an “unfair advantage,” name recognition, and additional leverage, while also motivating and focusing research around challenges and opportunities of dealing with Big Data.

Growth

Given the emerging need of data analytics skills for the workforce of the future, IDIES will work with the departments to establish new masters, graduate, and undergraduate programs, minors, etc., that emphasize these new skills.

Development

Continue to develop mutually beneficial corporate partnerships and through these affiliations transform research into sustainable, real-world applications.