Open Sport – open source sport project

Those reading my twitter stream will see sport plays an integral part of my lifestyle.  Hill walking, skiing and not forgetting swimming.  Swimming is my no. 1 sport and with my Quantified Self recordings, its has been the place I have focused the beginings of my open sport project endeavours, the open sourcing of sport.  It started with a Drupal module to enter swimming training times and those recorded at competitions.  But this failed to capture efficiently they training data so I have been working on a real time network application to address this issue, TrainTimer is on Github.

Open sourcing sport is something that has been brewing in me for a while.  Just like open source software,  open sourcing sport brings transparency and the opportunity for all to participate in evolving the applications etc.  The key ingredients is to provide a range of tools that enable individuals to capture their sporting data and share it real time anywhere they choose, on their privacy terms.  As a data junkie, it is the opportunity to apply data ‘science’ or ‘data’ analysis and discovery to those willing to share and combine their sporting data that makes things exciting.

I enjoy watch sport on the TV from time to time, especially the World and Olympic swimming but there are so many amateur or masters competitions going on all the time too and  I am sure provide just as much excitement and sporting endeavour.  This project aims to provide the same range of technology tools to these sporting events.  As an individual sporting data becomes increasingly and more frequently under scrutiny with dope testing etc.  Hopefully, this open sourcing of sporting data will give the individual the ability to transparently show all when need their sporting story.  I think it will be this transparency in competition that will provide the ‘test’ of comparison in the future.

Sport brings much fun to my life and hopefully some of the tools we can build in this project will being additional opportunities for fun to flourish too.

visionary landscape

Start a look back

1995 – 2001  .com era.  As a perfect information ‘economist’ to buy my first internet magazine in 1995 and see the world I had written about as a theory, be more like a reality (an early one at that).  The whole world will change in a bang, mindset, well in the small financial community until the bubble burst.

2002 Built first internet product, a tool bar to share web information with ‘family, friends, the web’.   Then c-commerce to get closer to cashflow but provided environment to obverse lifestylelinking working in the world and how it would be applied to all via the Internet.  mepath.com started.

2004-2010 web2.0 era
Society — Authoring content and connection   Minimising the barrier to author (self expression) and symmetrical and asymmetrical connection of individuals.  Search from .com era has more content to work with, gets better (thus more ad money moves online) and new social analytics try to find new ways to connect.

Tech — vast reductions in price of serving a webpage, infinite scale via cloud computing emerges.

Economy — attempts at making shopping social but SEO (search engine optimisation) for those selling ads or products still dominate.  VC gap fund increasingly powerful social businesses i.e. facebook but valuation based on low cashflow amounts.

2008-2010
Semantic badged services becoming more visable.  Started powerset acquisition 2008.  NLP (natural language processing), Wolframalpha and now ‘text and data analysis’ from finding people to give answers, to personalized home pages, taming the firehose from twitter and the ‘real time web’.

2011 – ahead  semantic web era?  Who knows, we can look back some day and edit for the generally accepted term.

The word, ‘generally’ I except will become increasingly rarely used word as personalization and participation rockets.

We have vast amounts of information, but still most of it not digitized and on the web. This will be solved.

Society:  Radical shift in participation, collaboration by the masses.  Increased authoring of information and data working better to deliver life i.e data captured at finer grains of granularity and new discovery of connections.

Tech: vast reductions in price of computing power (in addition to storage) and these laws become dominant across all industries, biotech to physical manufacturing.  Small and distributed architectures replace all large scale central efficiency networks, water/sewage, power, education, websites, and databases etc.  Increase in the blurring on difference between software engineer and an individual ‘user’.

Economy:  Almost complete separation from a cashflow-financial system of economic management to an attention based one.