Design Build Data

Design Build Data may be an area for Design And Systems Thinking.

Structured, Semi-Structured and Un-Structured Data describe a spectrum of architectural solutions for the way data is design to fit together.

For the first time I looked at the city with all the buildings and began to visualize the similarity with data architecture!

Data is not something that we see everyday, yet for data to become useful, some architecture is required.

Design Build Data

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.”