By envisioning data as 'graphs,' MIT researchers show how to find local solutions to otherwise overwhelmingly complex problems.
I attended a one-day course titled Envisioning Data and Information taught by Edward Tufte in the Fall of 1994 and I thought I'd highlight the main topics presented.
Congressman Jim Sensenbrenner, a Republican from Wisconsin and one of the primary authors of the Patriot Act after 9/11, said this week on the House floor that never did he intend to allow the wholesale vacuuming up of domestic phone records, nor did his original legislation envision data dragnets beyond specific targets.
He envisions a data-driven system that relies on genetic data in combination with personal data from the patient regarding exposures and lifestyle to help physicians predict health risks.
We envision these data being used across disciplines — from political science, to law, linguistics, history, and rhetoric.
The administration also envisions a data-driven agency that would react swiftly to events like the ones that should have foreshadowed the subprime crisis.
Team members also envision using data storage technologies that rely on materials other than silicon, which can be manufactured on top of CNTs, using low-temperature fabrication processes.
Never, he said, did he intend to allow the wholesale vacuuming up of domestic phone records, nor did his legislation envision that data dragnets would go beyond specific targets of terrorism investigations.
We envision new data, models and knowledge products that could accelerate the innovation process that is needed to achieve the goal of achieving sustainable local, regional and global food security.
We envision the data center evolving from owned physical entities to potentially outsourced, virtualized and geographically distributed infrastructures that still attempt to provide the same level of control and isolation that owned infrastructures do.
