Taking inspiration from Cedric Price’s seminal ‘Generator’ project, the Selector system embeds social media data within a temporary infrastructure of food and energy production.

The Royal Docks is selected as the study site due to its various ‘meanwhile’ spaces and its population density.

Data is collected through social media apps and relevant hashtags in relation to individuals’ preferences. The data is then processed using a machine learning algorithm called ‘Word 2 Vector’.

Selector’s food and waste disposal units are defined and linked through energy use and production.

The monocoque material system is utilised for individual units as it allows mass customisation of interior spaces with a set grouping of elements.

Data from graph networks and the units’ performance criteria are assembled into clusters of relational programmes that support food and energy production.

Clustered programmes and structural requirements are brought together to form site specific assemblages of food and waste production to meet net zero goals.