Research Fellow, Creative Economy

Andrew Whitby
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May 2013

What I do

Andrew was a Research Fellow focusing on the creative and digital economy. His work looked at new techniques in data science - both as a method for studying the creative and digital economy, and as a topic of study itself.

Biography

Previously, he has worked as a consultant at NERA Economic Consulting, ACIL Allen Consulting and Accenture, working across diverse issues in social policy and economic regulation, ranging from disability and education to power poles and aviation. His strongest interests are in technology, innovation and growth.
 
He is in the final stages of his doctorate in econometrics at the University of Oxford. In addition, he holds an MPhil in Economics from Oxford, and bachelor's degrees in Economics and Computer Science from the University of Queensland.
 
Andrew was a longtime Twitter sceptic, but now tweets with the fervour of a convert, as @EconAndrew.
A simple enough question you might think, but one that turns out to be very tough to answer. Theory doesn’t help much. On the one hand, live broadcasts might increase local theatre attendances insofar as the broadcasts serve to promote live shows at theatres. But on the other hand, they might ‘cannibalise’ theatre attendances if the live broadcasts are so good in the eyes of the theatre-going public as to substitute for local theatre.
Hasan Bakhshi
Andrew Whitby
Wednesday, 25 June 2014
6
We live in a world of exponentially expanding data. Digitisation and the emerging internet of things have created a world in which our daily activities leave a digital trail. To an organisation or an individual with the right skills, that digital trail becomes data, able to be probed and interrogated for meaning, for correlations and for trends. But in the rush to take advantage of this tsunami of zeroes and ones, it's important to remember that not all data is created equal.
Andrew Whitby
Wednesday, 2 April 2014
0
Tuesday evening Nesta’s Conference room was full to the brim with ‘deep data experts’ attending the First Open Meeting of the Society of Data Miners that we were hosting (in case you didn’t know, data miners use algorithms to discover useful patterns in data.)
Juan Mateos-Garcia
Andrew Whitby
Thursday, 13 February 2014
0
Academic researchers are increasingly recognising the value in proprietary big data. The huge, networked, personal datasets associated with web giants such as Facebook could be a boon for social science research. But without a way for interested researchers to consistently access this data, such research fails the basic test of replicability.
Andrew Whitby
Wednesday, 3 July 2013
0
In the first part of this two-part post, I argued that big data has the potential to open up exciting new avenues in social research. But much of the world’s data is commercial, and private. Access, and in particular access for the purpose of replicating published results, remains difficult. In this second part, I illustrate the problem, and suggest the direction possible solutions will take.
Andrew Whitby
Tuesday, 7 May 2013
0