Data Drift at KIM?
A sense of place:
Mapping the meta-morphology of the city can offer interesting insight into the daily and weekly rhythms of use of space as well as the meanings people attach to particular urban spaces. In such analysis, location-based data sets work as an invisible treasure of data and meta-data produced directly by the urban population, including visitors. This set of maps shows all geolocated Instagram picture shared in Turku during the period of one year.
About the exhibition:
DATA DRIFT exhibition showcases works by some of the most influential data designers of our time, as well as by artists who use data as their artistic medium. How can we use the data medium to represent our complex societies, going beyond “most popular,” and “most liked”? How can we organize the data drifts that structure our lives to reveal meaning and beauty? How to use big data to “make strange,” so we can see past and present as unfamiliar and new?
If painting was the art of the classical era, and photograph that of the modern era, data visualization is the medium of our own time. Rather than looking at the outside worldwide and picturing it in interesting ways like modernist artists (Instagram filters already do this well), data designers and artists are capturing and reflecting on the new data realities of our societies.
DATA DRIFT represents data visualization artworks by SPIN Unit (EU), Moritz STEFANER (DE), Frederic BRODBECK (DE), Kim ALBRECHT (DE), Boris MÜLLER (DE), Marian DÖRK (DE), Benjamin GROSSER (US), Maximilian SCHICH (DE/US), Mauro MARTINO (IT/US), Periscopic (US), Pitch Interactive (US), Smart Citizen Team (ES), Lev MANOVICH / Software Studies Initiative (US), Daniel GODDEMEYER (DE/US), Dominikus BAUR (DE), Mehrdad YAZDANI (US), Alise TIFENTALE (LV/US), Jay CHOW (US), Semiconductor (UK), Rasa SMITE, Raitis SMITS/RIXC (LV), Martins RATNIKS (LV), Kristaps EPNERS (LV)