Friday, March 30, 2012

Putting the W in the DIK

Another day, another hashtag
I've spent so long hanging around with incredibly generous and talented people like Martin Hawksey and Tony Hirst over the last couple of years that I'm in some danger of starting to forget how mere mortals react to their wizardry.

This week I've been at the Society of General Microbiology Spring conference in Dublin, a meeting I've been going to most years for the last 30 years (gulp). This year there was a serious uptake of social media (well, Twitter) for the first time. Although the sort of analysis I've just run is now routine for some of us, it's easy to forget how confusing the data surge is to the average person who is only just now tuning in to where our data-driven society is heading.

That's why it's important to explain as well as to visualize, to try to put the W in the DIK.


  1. Hi Alan

    Totally agree - we need to keep sharing and explaining all of this. We need to find out what is of most value to others.

  2. Presenting complex data in an uncomplicated way is something that has been playing on my mind recently.

    Eric Berlow’s TEDTalk is what I'm aspiring to

  3. I'm a huge fan of visualizations, but the more complex the visualization becomes the less useful if usually is. Summaries such as automated subcommunity detection via modularity statistics are a good example of the way to go with complex data sets.

  4. Coming to the same conclusion, top x results, rankings, big arrows on a stick