CHEN Yun-Ju , CHIANG Yi-Hsuan

Chen and Chiang collaborate to create the work, Greenhouse, which visualizes information data. The work is inspired by the problems of our time and is based on the survey and analysis of big data. In fact, we might have participated more or less in these online actions, which are still happening. Chen and Chiang use information of posts, likes, comments, and shares gathered from Facebook as their material, and combine them with the changes of Taiwan's population structure throughout the years, creating a distinctive visual narrative. They convert the data from different periods over the years into visual images of a forest. As the overlapping trees, leaves, flowers and fruits keep growing, they point out the starting point of this work: "perceiving humanity and environment from numbers, words and actions." The artistic concept of this work is "calculation anxiety or the co-existing initiative of positive thinking." Although the image and initial work are created and interpreted by Chen and Chiang, they hope that all viewers can participate in the project. After all, these data are about their online daily life and reflect the experience buried in their consciousness.

Chen Yun-Ju (b. 1980) was born in Taipei, Taiwan. She is now a PhD candidate at the Institute of Applied Arts, National Chiao Tung University. Chen engages in artistic creation of various media, including image, installation and performing arts. Her work combines metaphorical symbols and technological media to express human feelings and self-awareness, demonstrating a visual language for a consistent pursuit and construction of the self. Through Eastern philosophy and the examination of contemporary social issues, her work delineates the present living condition in a profound manner.

Chiang Yi-Hsuan received her PhD from the College of Technology and Engineering, National Normal University in 2004. She specializes in audience behavior, Internet communication, media market analysis. Recently, she focuses on new media studies targeting audio/video, community and action as well as industry-university collaboration research on big data in communication.

Media: Real-Time computing Video 、 Computer 、 QSearch Community Data 、 Laser Wood Chips / Size:Dimension Variable / Year:2017