Featured on CrowdResearch blog (Follow the Crowd)

I’m happy to report that a post of ours on Reactive and Multiplatform Crowdsourcing has been featured on the renowned CrowdResearch blog (Follow the Crowd).
The editorial and advisory team of the blog is an exceptional one, including:

  • Michael Bernstein, Stanford University
  • Alex Quinn, University of Maryland
  • Ed H. Chi, Google Research
  • Rob Miller, MIT

and many others.

The post puts the focus on the need of controlling the crowd in response to  the quantity and timing of completed tasks;  the quality of responses and task results; and the profile, availability and reliability of performers.

To address this problem, we propose to integrate the following ingredients:
  • crowdsourcing, addressed with a modeling approach
  • social networking, as alternative means for outsourcing tasks on the web
  • multi-platform integration for allowing flexibility in task allocation
  • expertise finding for matching tasks to performers
  • reactive rules for declaring events and triggers that control the crowd.

The nice outcome is that by applying our methods you get significant advantage in terms of time, effort and quality. Some examples are reported in the figure below, showing up to 50% increase in precision of results and saving of more than 20% of executions, simply by changing the reactive rules for calculating majority.

Our post is somehow a summary of our three papers on crowd sourcing, as reported also in my previous post in this blog, namely:

All this is also summarized in the official CrowdSearcher web site:

The full post is available on the Crowdresearch blog.

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Most visited posts in the blog: stats and discussion

As the end of the year is approaching, I think it’s time to draw some conclusions from the stats of this blog.
Here is the list of the top 10 posts in terms of visits since they have been posted.

The top-10 most visited posts in my ModelDrivenStar blog during its 2.5 years life
(mainly on MDD, MDA, BPM, Social Business and Social BPM).

Although the publishing date must be taken into account, I think that one trend is quite evident: general posts on world-wide events are much more popular in terms of visits with respect to specialist-oriented posts that discuss domain-specific or controversial / research issues. This is also because these posts are more likely to be shared and linked in popular sites, possibly.
In fact, the three most viewed posts are:

    Sep 30, 2010
Jun 8, 2011

The second set of posts is related to social BPM and other specific topics (MDD,…): they have a definitely lower number of accesses, but on the other side they are the ones which get people more involved in the discussion (you see it from the number of posted comments)

    May 14, 2011, 8 comments
    Jul 14, 2011, 5 comments
    Mar 7, 2011, 9 comments 
    May 10, 2011, 4 comments
    Nov 10, 2010, 6 comments
Well, we know we work on niche discussion topics wrt the mainstream Web users. I think the main purpose of a blog like this is to raise the discussion between experts, and only later possibly to share the arising knowledge with the general public. That’s why I think this mix is definitely interesting and I’m very satisfied with the current fruition of the contents.
The general interest in this blog is steadily increasing, as shown by the following graph of total number of pageviews.

The increasing popularity of my ModelDrivenStar blog during its 2.5 years life.

I hope that next year will bring further interest and many more reader on board.
Happy new year to all of you (and to your blog, if you have one)!

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Prominent bloggers in the BPM community

I have now spent a few months wandering around in the blogosphere investingating and discussing issues related to Business Process Modeling (BPM). Time has come to start a list of blogs I consider relevant and inspiring for the community. Here is a first bunch (in no particular order). If you have other suggestions, feel free to propose (including your blog):

Other interesting blogs, partially related to the BPM world: