This Week in Context (20131004)

While our regular context news junkie is soaking up the sights of Lisbon, Portugal, I have been tasked with compiling this week’s list of new quantified self, context-awareness and situational understanding developments:

  • MLB fieldtesting iBeacons
    The MLB has been field testing Bluetooth Smart as one of the first and the results are quite impressive. Bluetooth Smart is a contextual big deal: integration in health apps and now a positive review of some field tested micro-location goodness. From the optimized self to fine grained marketing strategies where customers are engaged in new, previously impossible ways. (via Roel)
  • One Easy Way to Stop Target and Other Companies from Selling Your Data
    The new startup StopSelling.me offers to send out requests to remove & stop selling your personal data to many data brokers and providers in bulk. They don’t plan to charge for this, but in the end aim to become a data broker themselves, but one that mediates directly between customers & companies. Dear Daniel Vitiello, I’d actually be willing to pay for your automated opt-out services, if you throw in a little dashboard with an overview of which companies were written to, which ones responded, and which ones actually complied. (via Ann)
  • Stanford researchers achieve better sentiment analysis results
    Sentiment analysis is the process of using NLP, text analysis and computational linguistics to discover subjective information in text. It allows to categorize social media posts into positive and negative buckets. While this is not working at its best yet, there is a new development ongoing that uses supervised learning. The improvement is achieved by looking at whole sentences instead of single words.
    Similar to the initial Google Translate approach, where UN documents were used to train translate-algorithms, researchers have achieved better results by manually labeling dozens of sentences using Amazon Mechanical Turk. Since these developments impact contextual understanding of situations, it’s worth a mention. (via Roel)
  • Memoto becomes Narrative and raises $3 million
    Darling life-logger Memoto brought us the news that they raised $3M with San Francisco-based True Ventures and with it, nailed down the release date of their life logging camera to November 1st. The biggest surprise however was the rebranding to Narrative which sounds a lot more descriptive. Any of you pre-ordered a Narrative Clip? (via David)
  • Business Models for the Data Economy
    This O’Reilly research paper ‘Business Models for the Data Economy’ looks at different models of how to make the most out of the data economy, including, but also beyond the default practise of ‘Collect & Supply’. Especially interesting are Filter/Refine (Strip out problematic records or data fields or release interesting data subsets), Enhance/Enrich (Blend in other datasets to create a new and interesting picture) and Simplify Access (Help people cherry-pick the data they want in the format they prefer).  Worth the download & read!
    (via Ann)

We’re still curious to find out what you think of our own rebranding? Let us know, tweet @GetJini, or share your thoughts with us on Google+ through the comment box below.

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