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Video: Designing for Big Data, by Jeffrey Veen
two trends: how we're shifting as a culture from consumers to participants, and how technology has enabled massive amounts of data to be recorded, stored, and analyzed. Putting those things together has resulted in some fascinating innovations that echo data visualization work that's been happening for centuries.
European Workshop on Challenges in Modern Massive Data Sets (EMMDS 2009)
All star list of speakers: Poggio, J.Friedman, Cristianini, Scholkopf, Teh, etc
Earning My Turns: Diversity in scientific data
Highly curated, single-source data is useful only in those areas where how the data is collected and curated is not a central part of the scientific debate. I can't think of a single area of science that I follow in which the core data are settled, from biology to linguistics. Diverse sources, openly exchanged, contrasted, and combined, are the lifeblood of data-driven science.
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Highly curated, single-source data is useful only in those areas where how the data is collected and curated is not a central part of the scientific debate. I can't think of a single area of science that I follow in which the core data are settled, from biology to linguistics. Diverse sources, openly exchanged, contrasted, and combined, are the lifeblood of data-driven science.
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