Of fly-eye domes and public health data sets

August 8, 2012 by · Leave a Comment 

This post is one of several exploring the research and creative processes Giles and I have undertaken for our project Lifestreams, an Art+Tech collaboration with industry partner, Philips R&D in Cambridge as part of Anglia Ruskin University’s Visualise programme.

As part of our quest to explore making health data tangible we began to research means of experiencing larger volumes of collective health data as a complementary experience to the ‘lifecharms‘ illustrating individual data streams. We imagined these different strands operating in tandem to provide micro and macro perspectives on how we can forge new relationships to health and wellbeing.

The question immediately arose of how we could achieve meaningful translations of complex health data. Our initial solution was to turn public health data (derived from Network of Public Health Observatories) into varied surface expressions on a larger installation work, allowing a degree of participation from direct public interaction to inform manipulations of the public data sets. To achieve this we thought about the production of manipulated stacking surfaces that would aggregate into a communal structure.

Our idea for manifesting this health data was to take each data set, determine its dimensions (i.e. which and how many data ranges does it have, what do they represent? e.g. mortality rates, obesity, etc.) and take each of these to be the driving parameters of a set number of ways to cut, punch, emboss or bend thin sheets of material, either paper, card or metal. We would then create one layer of material for each data dimension, apply the parameter controlled action for it (ie, print, cut, punch, bend; where and by how much) and do this for each of the data dimensions.

For each dataset (by ward or time span) we would end up with a stack of screens which together would define a unique surface or mask that would be specific in both tactile and visual effect. These stacked screens would make up the facets to be collated into a larger physical structure that would evolve out of the geometry of the base shape and be assembled by members of the audience to ‘collectively grow’ the public health data installation piece.

We proposed to use Buckminster Fuller‘s fly-eye dome as the base for a slightly larger than human size dome structure which would rest on a tripod-like support structure under which visitors could move to look up and in. The fly-eye dome is a design variation on Bucky’s earlier geodesic dome structures lending itself well as a projection structure. We planned to use it to present transformed public health datasets which become layered and patterned masks to produce alternating light and shadows from within the dome surface. Each facet, or mask, would be representative of a specific grouping of public health data, either by time interval or by geographic proximity.


In thinking about how this would work as an installation, we  came up with two different projection approaches creating two types of experiences:

  1. Outward facing masks with switch-able internal illumination creating projections that are cast on the gallery wall interiors and,
  2. Inward facing masks with with external illumination where the audience steps inside the dome structure manipulating an exterior light source (or  ‘sun’) around the dome structure by hand.

A very attractive benefit of collaborating with Philips is their expertise and product range in professional lighting. In particular, Philips has developed a product series and related technologies called LivingColours which we considered to be a good option for the illumination in our fly-eye domes.

Despite developing this concept quite far, we eventually moved away from it as we felt it didn’t encompass enough of a sense of the living and organic processes which we want to engage people in. In many ways we felt it was moving back towards static data visualisations that are too readily ‘readable’ and which soon cease to have the power to engage people in an ongoing and reflective relationship with how public data can be seen as part of the environment in which we exist.