BarabásiLab: Hidden Patterns. The Language of Network Thinking

Duration
1:09:37
Category
Lecture/Talk
Date
08.10.2020
Description

Network research and network visualization have proved to be one of the most promising scientific methodological innovations in recent years/decades, which seems to be an effective tool for the study of cultural and social phenomena, including the art scene.

The exhibition Hidden Patterns aims to present the last 25 years of research by the BarabásiLab, led by the physicist and network researcher Albert-László Barabási. BarabásiLab is a collaborative environment where scientists from multiple disciplines collaborate with artists and designers (Kim Albrecht,  Szu Yu Chen, Alice Grishchenko, Mauro Martino, Edson Pavoni) together advancing the visual vocabulary of networks.

By following the development of network visualization – presenting the main projects of the BarabásiLab – the viewer can finally gain insight into the application of this comprehensive method in art. Using state-of-the-art technology (data sculptures, MI, AR, VR, drawing robot), network diagrams and structures vividly describe the hidden connections and relationships that underlie the studied phenomena.

Barabási’s research focuses on the search for mostly invisible connections between things and phenomena, the exploration of repetitive patterns, which connect nature, society, language and culture. This network approach promises a comprehensive, universal method that can be used to examine almost any context (e.g., the success of artistic careers) with scientific precision.

Plans for the exhibition include the presentation of ongoing research processes and analyses such as the display of the Global Art Network, which depicts the relationships between artists and institutions. Through the use of virtual and real data sculptures and tools based on augmented reality, images projected into space offer new possibilities for visualization for researchers and those interested.

In cooperation with Ludwig Museum, Budapest.

Participants