In a previous blog post I set out five challenges to the movement to get more children coding, making apps, hacking websites and so on.
As part of a project planning process it's often an effective technique to employ Gary Klein's idea of a pre-mortem exercise - something that Kahneman in his wonderful book 'Thinking, Fast and Slow' describes as "the best idea" for taming unfounded optimism.
A striking characteristic of many round 1 innovations is the effort put into getting the mechanics of giving right - that's to say how to successfully tap into giving motivations, 'onboard' users in large numbers and make the process of giving simple and efficient.
A few years ago, I and others started promoting the idea of creating a NICE for areas of public policy. NICE is the National Institute for Health and Clinical Excellence and is a unique institution that publicly rules on what works in healthcare - and what's cost effective.
Given Nesta's remit, I'm keen to make sure that I keep the focus of our Big Data work on innovation. But what does using data for innovation mean? What does it rule out?
Here’s an experiment. Turn to the person next to you and ask them to name an organisation delivering a cutting edge innovation.
This is the second in a series of blogs summarising discussions about the role and design of challenge prizes at our Centre for Challenge Prizes launch (the first blog can be read here). We were lucky enough to bring together some brilliant individuals and organisations from a range of sectors, which generated some useful and interesting discussion, so we wanted to share some of the key points.
They will need to provide communal workspaces, mentors with specific expertise and with contacts, and expert architects of networking; access to formal learning programmes about aspects of business; support in developing business plans, and practice in pitching; and they will be offering concentrated 'accelerator' programmes for the development of new businesses.
Healthcare is an area where the opportunities for data to transform the sector have perhaps been overhyped, but few people doubt that the industry will be transformed by data.
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