Big Data: does size matter?Saturday 22 October, 10.00 - 11.30 , Frobisher Auditorium 1 The Future Now: Science and Technology
Big data knows where you’ve been and who your friends are. It knows what you like and what makes you angry. It can predict what you’ll buy, where you’ll be the victim of crime and when you’ll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data?
What is data? What makes it big? And is it only size that matters? From science to smart cities, business to politics, self-quantification to the Internet of Things, big data has been described as the fuel of the next industrial revolution, and as a modern oracle. It’s winning elections, revolutionising scientific research, and transforming how businesses interact with their customers. And it’s just getting started. Now is the time to decide how we want to use the power of big data. We already benefit from aggregating small improvements, saving time, money and energy through more efficient use of what we have. But we could be more ambitious, and aim to do more with more instead of the same with less. Big data could think bigger. In other ways, though, it’s already too big for its boots: however big the dataset, however powerful the analysis, big data has blind spots. It may be great for population-wide patterns, but it’s not so good at why an individual person might choose to do one thing or another.
This raises the question: why are we so keen to put our faith in big data? Does that say less about what the technology can really achieve than about our lack of trust in one another, or in ourselves?
Listen to Timandra Harkness discuss big data on the Battle Cry Podcast
senior science and technology journalist, Deutsche Welle
journalist, writer & broadcaster; presenter, Futureproofing and other BBC Radio 4 programmes; author, Big Data: does size matter?
director, Full Fact
principal scientist, Immunocore Ltd
When Big Data becomes bad data: The limits of analytics, Laura Kirchner, Salon, September 2015
This Mathematician Says Big Data Is Causing a ‘Silent Financial Crisis’, Time, August 2016
Eight (No, Nine!) Problems With Big Data, Gary Marcus and Ernest Davis, New York Times, April 2014
How Big Data Harms Poor Communities, Kaveh Waddell, The Atlantic, April 2016
The Duality of Big Data: The Angel and the Demon, Daniel Riedel, Wired, October 2014