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learning – teaching – research – design – technology

“Smarter world? But how do we make sure that it doesn’t outsmart us?”

I was invited by the Open University of Catalonia to participate in this year’s Open Thoughts discussion. The leading question was:

Internet is all around us. Ubiquitous computing power and telecommunication technologies are growing at an astonishing rate. At the same time, the world is changing rapidly.

Computer simulation, artificial intelligence techniques, cloud computing, green tech-solutions, metaheuristics, location based systems… In this blog, we invite you to explore how technological advances and engineering new knowledge can help us to build new societies, new enterprises, new horizons; a SMARTer ones.

But… are we ready?

Here’s my response (cross-posted, please discuss there):

Are we ready for a smarter world? Well, first, let’s ask: is our world becoming smarter? Several “hot” trends claim it is: big data, internet of things, and the quantified self.

Big data enthusiasts offer vivid examples of how we can harvest, process, and enjoy the fruits of the huge quantities of data which are waiting at the tip of our mouse. We can predict market trends, analyse weather patterns, monitor government spending. In my area — education — we are told that MOOCs (massive open on-line courses) will allow us to apply the same techniques that Amazon uses when it recommend products to guide learners in their education.

The internet of things, a term coined by author Bruce Sterling, portrays a future where more and more objects in the world around us have an on-line presence. Imagine an egg stamped with a QR code as it is collected in the hen-house. At that moment, that egg can acquire an on-line identity, and can be tracked all the way to your kitchen, where it is cracked into an omelette. The farmer can see where his eggs are going, perhaps choose middle-men that market his products locally (reducing environmental impact). Likewise, you can choose eggs that travelled the shortest distance to your grocers. Finally, your fridge can notice that you’re running low on eggs, and add a dozen to your next grocery order.

The third trend — the quantified self — has the potential to make the previous two very personal. It highlights the growing variety of devices which allow us to constantly collect, analyse, and visualise data about ourselves — biometric data, behavioural data, mood and social data, health data.

The combination of these three can literally make the world around us smarter. We are all aware of the physical landscape we live in, its hills and valleys, roads and gardens, private and public land. The manner in which the resources in this landscape are managed, used, abused or protected is visible to all. But, increasingly we are also surrounded by a data landscape, overlapping and interacting with the physical one.

Devices, objects, and indeed our bodies and minds, are constantly emitting data — and this data is piling up in mountains and flowing in rivers around us. Just like the resources in the physical landscape, this data landscape needs to be managed — so that we ensure that its potential value is shared responsibly and fairly for the benefit of all. Yet, in contrast with the physical landscape, most of us don’t see the data landscape in which we live. This creates a huge advantage for the few who do. Those who have access to our data, and those who know how to mine it.

The only possible remedy for this inequality is education. In my school years, I was taught to cook, sew, and saw, so that I would be able, should I wish, to produce the artefacts I need — and more importantly — understand how they come to be if I prefer to purchase them from others. Nowadays, we need to teach our kids to sew physical objects with digital systems and to cook data streams they produce so that they can always outsmart the world in which they live, rather than others using it to outsmart them.

 

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July 23, 2014 - Posted by | open source

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