I like storify because of the way you can collect and then organize the stories and add context. I love that actually. I find many of the curation tools to be heavier on the collection side and less on the curation side. so mostly my playing with it has been meta but i love what i see.

We’e been using the Cognitive-Edge methods with great success. We’ve done a couple of studies, and are just launching our third on social media use in the enterprise. I’d be happy to talk with you about it sometime. It’s very good stuff!

Kevin

Anyway, how are you using storify?

And, as a side note, I’m in love with Storify.

Aside from mapping URLs shortened and used in Storify, any suggestions for enhancing metrics on Storify stories?

I love that term – curiosity-driven culture – because I think it gets to the heart of the intention for the use of data, which is critical. Are we compiling data/evidence to drive a change that, in at least some cases, may be predetermined or at least preferred (which will of course affect the research design and analysis)? Or are we undertaking an effort to genuinely better understand a central question or complex issue? In other words, is it really curiosity or evidence-gathering at play?

I do want to just be clear that there are a tremendous amount of organizations, that regardless of terminology, are motivated by using data to better understand some of the most intractable social issues. They should be applauded for this work. But like anything else, not all data is created equal, so as data consumers, we need to be aware.