BIG DATA and algorithmic abstractions

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‘The era of ubiquitous computing and big data is now firmly established, with more and more aspects of our everyday lives being mediated, augmented, produced and regulated by digital devices and networked systems powered by software. Software is fundamentally composed of algorithms — sets of defined steps structured to process data to produce an output. And yet, to date, there has been little critical reflection on algorithms, nor empirical research into their nature and work’ – Rob Kitchin

On December 11th 2014 Rob Kitchin will present his paper ‘Thinking critically about and researching algorithms’ in the RHB Cinema at Goldsmiths from 11:00am – 1:00pm.

His paper will begin with an introduction to what constitutes an ‘algorithm’, how they function, and outline the numerous tasks that they now perform in our society. He will address the short fallings of our understandings of algorithms, both in their formulaic structure and their operations in the world and how they are affected by interactions with other algorithms and users.

Critiquing the way in which scientists and technologists would usually present algorithms as ‘purely formal beings of reason’ Rob will discuss how they can transform into ‘abstract entities’ in which their work is often ‘out of control’.

‘…they are: often ‘black boxed’; heterogeneous, often contingent on hundreds of other algorithms, and are embedded in complex socio-technical assemblages; ontogenetic and performative…’

Often the work of many different hands and processes and dispersed across vast networks algorithms become difficult to decode and find their point of origin. They could be considered ‘emergent and constantly unfolding’.

How to govern their nature and work, although difficult, should be considered urgent, with a greater certainty about how ‘algorithms exercise their power over us’.

The lecture will address these concerns and suggest how we may approach researching algorithms through several different access points including: examining source code, reverse engineering and unpacking the wider socio-technical assemblages and examining how algorithms do work in the world.