Data
Heavy data and architectural convergence
Data is getting heavier relative to the networks that carry it around the data center.
Imagine a future where large clusters of like machines dynamically adapt between programming paradigms depending on a combination of the resident data and the required processing.
Walking the tightrope of visualization criticism
The balance, fairness and realism of our visualization criticism must improve.
A creative field, such as visualization, will have many different interpretations and perspectives. The resolution and richness of this opinion is important to safeguard.
UK Cabinet Office relaunches Data.gov.uk, releases open data white paper
The British government further embraces open data as a means to transparency and "prosperity."
The Cabinet Office of the United Kingdom released a notable new white paper on open data and relaunched its flagship open data platfrom, Data.gov.uk. This post features interviews on open data with Cabinet Minister Francis Maude, Tim Berners-Lee and Rufus Pollock.
Predictive data analytics is saving lives and taxpayer dollars in New York City
Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better.
A predictive data analytics team in the Mayor's Office of New York City has been quietly using data science to find patterns in regulatory data that can then be applied to law enforcement, public safety, public health and better allocation of taxpayer resources.
Health records support genetics research at Children's Hospital of Philadelphia
Michael Italia on making use of data collected in health care settings.
Michael Italia from Children's Hospital of Philadelphia discusses the tools and methods his team uses to manage health care data.
Visualization of the Week: The story behind the U.S. power grid
"America Revealed" illustrates the complexity of the United States electric power grid.
The PBS TV series "America Revealed" visualizes the creation, use and fragility of the U.S. electric power grid. It's also an example of how data and context should always go together.
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