The advent of data-intensive science has sharpened our need for better communication within and between the fields of science and technology, to name a few. No one mind can encompass all that is necessary to be successful in controlling and analyzing the data deluge we are experiencing. Therefore, we must bring together diverse fields, communicate clearly, and build crossdisciplinary methods and tools to realize its potential. This article is a summary of the communication issues and challenges as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
Data-intensive science will open up new avenues to explore, new questions to ask, and new ways to answer. Yet, this potential cannot be unlocked without new emphasis on education of the researchers gathering data, the analysts analyzing data and the cross-disciplinary participants working together to make it happen. This article is a summary of the education issues and challenges of data-intensive sciences and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
Universities, industries, and governments have made substantial investments in electronic networking. Electronic access to colleagues, information, and resources is now a requirement of faculty and students in every field. This panel will discuss recent developments in regional and national networks for research and education. The emphasis will be on how colleges and universities fit into the overall interconnection of networks -what services are available, what resources are required, what are the risks involved, what is going to happen in the near future, and who pays the bills.
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