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You are, virtually, what your smartphone says you eat

If you have a wearable fitness tracker – and there are a lot of people who do (Fitbit, one of the market leaders, had over 50 million registered users at the end of 2016) – then you’ll know that the application associated with the tracker itself also enables logging and analysis of other parameters such as what you weigh, your body fat index, and what you eat and drink (so that your calorie intake can be tracked as well as you calorie usage through exercise).

The digital economy is bigger than you think

Innovation Observatory has just concluded a major study of the digital economy for KC, the incumbent provider of telecoms services in Hull, UK. We developed a method for measuring the digital economy that better reflects its value in terms of sales and employment than existing industrial-classification-based methods...

Good ideas emerging…brief review of Interop 2015

What3words concept graphic2My main reason for being at Interop was to find interesting, innovative companies and new ideas. I wasn’t disappointed...

Innovation …. nation?

Chart of business births per 1000 peopleWe often hear politicians and local businesspeople talk about the pull of London, about how it attracts the rest of the nation’s innovators, and about how there is a requirement to kick start business creation in other parts of the country.

It was always obvious, I suppose, that London would have the greatest number of start-ups; it is, after all, the most affluent area of the UK, and houses the most people. But how does London compare when that business creation activity is normalized according to the size of the local population?

What clinical trials teach us about innovation in sharing private data

Personal data issuesOne of the difficulties faced by those trying to unlock the value in data collected by systems from individuals is that even when the data can be made anonymous, the owners of the data are reluctant to share it with third parties. But in clinical trials, and in other medical research projects, data is routinely collected, shared and analysed. What does this tell us about the frameworks for trust that are needed to make the most of “big data”?

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