Tuesday, 2 February 2010

Filtering, Crowdsourcing and Information Overload

Great post by Tim Kastelle - Filtering, Crowdsourcing and Innovation.  He’s talking primarily about Innovation pipelines based on crowdsourcing.  His diagram:

image 

Show a fairly common model for how things can be filtered.  This is similar to the model that we used on Project Greenlight – the scriptwriting and director contest by Matt Damon and Ben Affleck.  Anyone (hopefully everyone) could submit their script / movie.  From there, we had smaller and smaller batches of people reviewing until it got down to the core team looking at the top few submissions. 

This caught my eye because it’s a bit different than the model we are using on Browse My Stuff that powers sites like eLearning Learning.  In Curator Editor Research Opportunities on eLearning Learning, I described the flow that it uses:

image

In this case, the input is curated content although it can come from virtually anywhere.  It then relies on social signals from everyone to filter it down.

I’m not claiming that one is preferred.  And I think that you can argue that Digg uses a slightly different model.

The other part of this thought process is that the feedback on my Top 10 eLearning Predictions for 2010 was that I should have Information Overload and Information Filtering as my user chosen prediction number 10.  I tend to agree with that.  But there’s a challenge to it.  And that challenge is somewhat hinted at in this month’s big question: Instruction in a Information Snacking Culture?

  • Are the training solutions being produced part of the problem of information overload?
  • How do we shift to a position where we are helping to filter information and reduce overload rather than possibly contribute?

Certainly, I’m paying attention to this and I’m going to go through Tim’s post – Personal Aggregate, Filter and Connect Strategies to see how it might impact my Tool Set 2009 tools and methods, especially Information Radar, Networks and Learning Communities).

Good stuff Tim!

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