Imagine a friend giving you a present. It's a free Metro newspaper he got on the bus. You could as well have picked one up yourself. Now, another friend gives you a special magazine she thought you'd really like. You will appreciate its value which lies in a combination of quality content and the fact that she actually bought it for you... We hope to attract enough participants to get our experiment to a self-sustainable level, but we're not quite there yet.
In this age of Facebook, Instagram, Twitter etc. we are increasingly living our lives through the eyes (and comments) of other people. Have you ever stopped to think about how and what this means to you on a personal, emotional level? If someone 'Likes' your post does that give you a boost? Is your sense of self dependent on how many virtual 'friends' or re-tweets you have?
Picture the scene - you are completing an application form for life insurance and a page comes up giving you the option to upload data from your always-on fitness monitor, outlining your exercise, work and sleep patterns for the past 6 months, with the incentive that reduced premiums may be available for those who do.
Now I love public relations professionals but one of the key skills needed in this field is learning how to use that all important bcc box. Journalists, bloggers and anyone else who receive press releases know that they're not special. We know that PR's aren't sat in their fancy offices individually sending us press releases with love. But we don't need to KNOW that the emails are going out en masse.
It appears that hating Taylor Swift is one of the internet's favourite hobbies. Just Google her name and you're hit with a virtual tsunami of fierce hatred... But here's the thing. Hatred for Taylor Swift seems entirely arbitrary. Nobody appears able to properly justify trolling her, or disliking her. Substitute any other young pop star into any of the above-described scenarios and the public reaction would have been completely different.
The best big data is the data generated as a by-product of operational, customer and supplier processes. The data that people naturally share, and are willing to, in return for a better experience or end product. And the best big data is when it becomes information that is readily analysed by business users for useful insights.
The vast majority of papers on climate science adhere to these principles, and indeed many papers devote the majority of their content to describing the hypotheses and methods used to tackle the particular problem being studied. However, the arguments that get bandied about in blogs and debates invariably focus solely on the predicted impacts of climate change, without any discussion of the caveats and assumptions that lie behind the models.