The National Science Foundation (NSF) is funding a major new initiative, beginning in 2008, on Cyber-enabled Discovery and Innovation (CDI). This initiative is intended to foster American competitiveness through research contributing to "a new generation of computationally based discovery concepts and tools to deal with complex, data-rich, and interacting systems." The NSF notes several examples of themes in this research category: data mining of large sets, interacting complex systems, high-performance computational experimentation, virtual environments, and educating researchers and students in computational discovery. It is clear that mathematics must play a key role in research in the areas outlined for this initiative. The Division of Mathematical Sciences at the National Science Foundation is strongly supportive of the involvement of mathematical and cross-disciplinary groups in research projects connected with CDI. As a first step in promoting mathematics involvement, the NSF Mathematical Sciences Institutes have begun a coordinated effort to inform the mathematical community about this initiative and to facilitate the development of research proposals. Initial workshops Between October 12, 2007 and November 1, 2007, there will be four one-day NSF workshops on CDI at NSF Institutes, of which this is the first. The plan for this workshop is to include key lectures about large scale interdisciplinary problems, round table discussions about mathematical challenges in these and related areas, and Q & A sessions about the structure of the CDI initiative and the NSF's expectations for proposals. Subsequent workshops will be held as follows: on October 29 at the Institute for Pure and Applied Mathematics (IPAM) focused on the knowledge extraction aspect of CDI; on October 30 at the Mathematical Biosciences Institute (MBI) focusing on opportunities for mathematicians who are interested in doing interdisciplinary work related to biology; and on November 1 at the Statistical and Applied Mathematical Sciences Institute (SAMSI) focusing on issues and challenges in the areas of Knowledge Extraction, Interacting Elements, Computational Experimentation and Virtual Environments. For additional information and links go to http://www.mathinstitutes.org/cdi/.