Knowledge Ecosystems: Data-Intensive Science is More Than Speeds and Feeds

Speaker  Mark Abbott

Host  Harold Javid

Affiliation  Oregon State University

Duration  00:31:40

Date recorded  5 December 2011

This session at eScience Workshop 2011 discusses rapid developments in computation, storage, and networking that have enabled an array of new services and systems, ranging from improvements in high-performance computing to the proliferation of smart sensors. In both science and information systems, old architectures and institutions are struggling with data-intensive science—a new knowledge ecosystem, characterized by radical personalization, rapidly assembling (and disassembling) collaborative networks, and intense real-time communications. An ecosystem concept that is characterized more by resilience and flexibility than by robustness and predictability may be a better model for both science and information technology. Jim Gray’s “laws” of data-intensive science can help guide us through this new conceptualization.

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