Is Data Disposable?

In the Maker-Hacker environment is data disposable?

With research trending towards the Experiential, where is the common data points between one experiment and the next?

Data capture has a primary function of countering the one-off trends,  yet datasets are becoming more divergent overtime.

Is it the overlapping of distinct datasets that’s hold the promise in Data Driven Design?

 

Algorithms need Editors

A recent article on Mashable highlighted an important concept: Algorithms need Editors!

“Twitter’s ‘LasVagas’ hashtag fail shows the worst part of algorithms…

…Twitter’s system looked at the various Las Vegas shooting-related hashtags and chose the misspelling for whatever reason. And the people involved couldn’t do anything about it…

This is exactly why journalists have editors—and algorithms need them, too.”