Qlectives LogoI currently work on Qlectives which brings together top social modelers, peer-to-peer engineers and physicists to design and deploy next generation self-organising socially intelligent information systems. The project aims to combine three recent trends within information systems:

QLectves aims to bring these together to form Quality Collectives, i.e. functional decentralised communities that self-organise and self-maintain for the benefit of the people who comprise them. We aim to generate theory at the social level, design algorithms and deploy prototypes targeted towards two application domains:

The approach of the QLectives project is unique in that it brings together a highly inter-disciplinary team applied to specific real world problems. We aim to apply a scientific approach to our designs by formulating theories, applying them to real systems and then performing detailed measurements of system and user behaviour to validate or modify our theories if necessary. Our two applications will be based on two existing user communities comprising several thousand people - so-called "Living Labs". For QMedia we will work with the media sharing community. For QScience we will work with the EconoPhysics community.

My project related codebase can be found on the GitHub.




Latest updates

  • Machine Learning in Practice course slides and some motivation is available in the teaching section.
    February 19, 2013
  • My Twitter feed is linked to my page. I usually share ML related news and interesting-sometimes maybe funny or weird-posts.
    February 18, 2013