Quantitative Information Architecture
Why quantitative information architecture? Why now?
You don't have to be RainMan or Stephen Hawking to use numbers to get things
done. Quantitative methods are applicable for IA thinking be it for hypothesis
generation, instrumentation, data collection and analysis of information at
scales never before possible with insights that are comparable over time,
generalizable and extensible.
Quantitative skills can allow IAs to interpret and analyze others' designs and
research more readily, as well as combine methods and models for meta-analysis
to help IAs move from description to prediction in designing and developing
future interfaces and architectures.
This presentation will review why you should use quantitative methods and
discuss both foundational and emerging ideas that are applicable for content
analysis, behavioral modeling, social media usage, informetrics and other
IA-related issues.
