- 'EventShop' allows users to combine weather predictions, Twitter feeds, Red-Cross shelter info, and Census data to identify most risky areas. Users in risky zones were automatically informed about their nearest shelter location.
- 'Situation Fencing' can send personalized alerts to asthmatic users as they enter 'risky zones' based on a combination of enviromental and personal data streams (e.g. pollen count, air quality, fatigue level, heart rate).
- Our 'Social Reality Mining' approach employs users social behavior signatures to predict their spending patterns.
- Our team won the 1st prize at 'Datathon for Social Good', organized by O2, MIT, Telefonica and Open Data Institute, UK for predicting next month's crime patterns for London. More here
- The 'Social Pixels' approach allows businesses to combine Twitter buzz and existing competitor information to decide on optimal store locations.
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