Skip to main content

Big Data - Timandra Harkness *****

I am very wary of books written by people who claim to be taking the wide-eyed outsider's viewpoint, claiming no knowledge of the topic and talking to lots of people in the know - despite the success of Bill Bryson's science book. However, as soon as I came up against Timandra Harkness pointing out that 'data' makes much more sense as a (singular) collective noun for data points, so we should say 'What is data?' rather 'What are data' (something I've been arguing for years), I knew that I was going to enjoy this book.

And despite the rather hard work attempts to be funny in footnotes (especially over number of cups of tea drunk while writing the book), mostly Harkness settles down into telling the story well with a clear amount of knowledge behind her writing (she is, after all, taking a maths degree). 

The story she tells is both fascinating and important. It takes in the historical introduction of statistics, Babbage (where she almost manages to talk about Ada King (aka Lovelace) without over-hyping Ada's contribution), the development of computing and most significantly the way dealing with large amounts of data has transformed the way many scientists do their work. Some of the approaches are mind-boggling - for instance the idea of monitoring mosquitos from airships (poor index, by the way - neither mosquitos or airships are in it), detecting the diseases they are spreading and where (and stopping some as they go).

Things start to feel a little more uncomfortable when Harkness takes us onto just how much can be found out about us from our smartphones. While I don't understand her distaste for a husband and wife who can find each other's location with their smartphone - all her reasons why this is bad seem the kind of thing that shouldn't be an issue (and you can always turn your phone off if you really want to be secretive), the systems being trialled that could, for instance, pick up conversations on the street, locate phones and track numberplates really do stray into big brother  territory, as do the potential misuses of medical data. Having said that, in the section on misuses, she only interviews activists/people who are suspicious, and has no one giving the positive sides. But it's worth noting when there is so much in the news about the balance between personal secrecy and the attempt to keep on top of terrorists and the like.

Overall, a great mix of plenty of information and views on the potential benefits and dangers of big data. Just occasionally it seems like Harkness is taking the party line - for instance taking the benefits of smart meters for customers for granted, even though they are really far more about making complex tariffs easier to impose for the electricity companies - but overall it's a truly fascinating tour of the data that lies beneath so many of the things we do everyday, from the adverts that pop up on our phones and computers to the customer loyalty cards of supermarkets.

A brilliant guide to our brave new world.


Hardback 

Kindle 
Using these links earns us commission at no cost to you

Author interview
Review by Brian Clegg

Comments

Popular posts from this blog

It's On You - Nick Chater and George Loewenstein *****

Going on the cover you might think this was a political polemic - and admittedly there's an element of that - but the reason it's so good is quite different. It shows how behavioural economics and social psychology have led us astray by putting the focus way too much on individuals. A particular target is the concept of nudges which (as described in Brainjacking ) have been hugely over-rated. But overall the key problem ties to another psychological concept: framing. Huge kudos to both Nick Chater and George Loewenstein - a behavioural scientist and an economics and psychology professor - for having the guts to take on the flaws in their own earlier work and that of colleagues, because they make clear just how limited and potentially dangerous is the belief that individuals changing their behaviour can solve large-scale problems. The main thesis of the book is that there are two ways to approach the major problems we face - an 'i-frame' where we focus on the individual ...

Introducing Artificial Intelligence – Henry Brighton & Howard Selina ****

It is almost impossible to rate these relentlessly hip books – they are pure marmite*. The huge  Introducing  … series (a vast range of books covering everything from Quantum Theory to Islam), previously known as …  for Beginners , puts across the message in a style that owes as much to Terry Gilliam and pop art as it does to popular science. Pretty well every page features large graphics with speech bubbles that are supposed to emphasise the point. Funnily,  Introducing Artificial Intelligence  is both a good and bad example of the series. Let’s get the bad bits out of the way first. The illustrators of these books are very variable, and I didn’t particularly like the pictures here. They did add something – the illustrations in these books always have a lot of information content, rather than being window dressing – but they seemed more detached from the text and rather lacking in the oomph the best versions have. The other real problem is that...

The Laws of Thought - Tom Griffiths *****

In giving us a history of attempts to explain our thinking abilities, Tom Griffiths demonstrates an excellent ability to pitch information just right for the informed general reader.  We begin with Aristotelian logic and the way Boole and others transformed it into a kind of arithmetic before a first introduction of computing and theories of language. Griffiths covers a surprising amount of ground - we don't just get, for instance, the obvious figures of Turing, von Neumann and Shannon, but the interaction between the computing pioneers and those concerned with trying to understand the way we think - for example in the work of Jerome Bruner, of whom I confess I'd never heard.  This would prove to be the case with a whole host of people who have made interesting contributions to the understanding of human thought processes. Sometimes their theories were contradictory - this isn't an easy field to successfully observe - but always they were interesting. But for me, at least, ...