Research for
Responsive Media
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'le_temps 2 @ Re-new Digital Art Festival and Conference in Copenhagen le_temps has been considerable re-worked since its initial out at UTS late last summer, perhaps less scientiically cohenent but also perhaps more visually compelling within a gallery context. Exhibited at this years Re-new Digital Art Festival in Copenhagen at PB4, curated by Art Historian Edward Shaken. This version of le_temps address some more formal issues such as larger images from our target species and layering via Aphla channel manipulations.
le_temps, re-new festival Copenhagen, PB43, 68m2 artspace
le_temps, re-new festival Copenhagen, PB43, 68m2 artspace
le_temps, re-new festival Copenhagen, PB43, 68m2 artspace
le_temps, re-new festival Copenhagen, PB43, 68m2 artspace
le_temps, re-new festival Copenhagen, PB43, 68m2 artspace
le_temps was a project by Tega Brain and Brad Miller developed in collaboration with Adam Hinshaw and project partner Climatewatch Australia. It explores the visualisation of both existing and collected phenology data.
Photo credits: brad miller DAB UTS 2013
Instigated in early 2012, le_temps is an project that explores digital images from a range of different sources including from Flickr, the Royal Botanic Gardens herbarium and the ClimateWatch database. ClimateWatch is an environmental organisation dedicated to the study of the ecological impacts of climate change. In 2012 they launched an iPhone application that enables people to use their phone to take images of the seasonal behavior of species in their locality and upload them to a collective database. In future iterations of le_temps we are hoping to visualise and present images from this crowd sourced database. If you are interested in contributing to this, please download the ClimateWatch App to upload your images phenological patterns in your local environment.
In this exhibition, we present the first iteration of the le_temps project. This version of the project searches the Flickr database for images tagged with particular species names and location keywords. The software looks at the metadata associated with each image and sorts it according to the date the image was taken. Each row shows images from a particular year. Images are arranged across each row using a frequency distribution algorithm that sorts them into monthly clusters. A camera detects the viewer’s presence, enabling the viewer to interact with the work and explore the content of the images. Photo credits: brad miller DAB UTS 2013 The title of this work, le_temps means both ‘the time’ and ‘the weather’ in the French language – a sort of linguistic acknowledgment that our collective understanding of time is inextricably linked to greater planetary conditions. As annual patterns and temporal cycles are revealed or notably absent for different plant species, le_temps explores cause and effect and the relationship between the geographic and the informatic. How are our surroundings and our capacity to observe them changing? And what might be gleaned from our collective digital secretions? Photo credits: brad miller DAB UTS 2013
This project is part-funded by a grant from the Inter-Arts Board of the Australia Council for the Arts.
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