Data Landscape - Individual Data Hub Project
From the occasional incorrect weather forecast, we notice the inaccuracy of data. Inaccuracy in data occurs in not only weather forecasts but also global issues such as early COVID-19 cases in China and carbon emission. How could data have errors or be inaccurate?
During the lecture โThe Anthropocene and the Destruction of the Image of the Globeโ, French philosopher Bruno Latour criticized condensing extremely complex natural phenomena into a pixel image data size of a hand while mentioning the fantasy and credulous behavior towards science that arose during Copernicus revolution in 19th century, data manipulation, capitalism and the dependency on technology. Along with the criticism, he called out artists and scientists for their efforts to express and understand data.
โData Landscape-Individual Data Hub Projectโ Exhibition is a research-based inquiry into a proactive approach to the usage and understanding of data, showing a landscape in the perspective of data.
The exhibition includes the results of the โIndividual Temperature Data Hub Project (2020)โ and โColors from Data (2019).โ For the โIndividual Temperature Data Hub Project,โ the artist collaborated with an expert in science and technology to develop a location-based thermo-hygrometer. Then a workshop was conducted to obtain temperature and humidity data created by the participants and share this data as a map. The data from the participants of the workshop were compared with the official weather data to see the inaccuracy of the public data and the possibility of an individual collecting data.
At the same time, with the experiment-based project โColors from Data,โ the artist attempts to discuss the cause of ambiguous data and a new method of understanding data while mentioning preconceived notions behind the visually appealing colors expressing data.
Through the landscape formed in the process of researching and experimenting for the โData Landscapeโ Exhibition, we question the fundamental reason for ambiguity and inaccuracy of data and our behavior towards understanding data. Moreover, the artist suggests ways an individual could participate in producing and understanding data rather than passively consuming data from selected government agencies and groups of experts by artistic experiments and implementation, along with the juxtaposition of public data and data produced by individuals, and vertical-horizontal data processing structure.