Citygram is a large-scale project that began in 2011. Citygram aims to deliver a real-time visualization/mapping system focusing on non-ocular energies through scale-accurate, non-intrusive, and data-driven interactive digital maps. The first iteration, Citygram One, focuses on exploring spatio-acoustic energies to reveal meaningful information including spatial loudness, traffic patterns, noise pollution, and emotion/mood through audio signal processing and machine learning techniques.
Citygram aims to create a model for visualizing and applying computational techniques to produce metrics and further our knowledge of cities such as NYC and LA. The project will enable a richer representation and understanding of cities defined by humans, visible/invisible energies, buildings, machines, and other biotic/abiotic entities. Our freely Internet-accessible system will yield high impact results that are general enough for a wide range of applications for residents, businesses, and visitors to cities like NYC and LA.
Citygram is a long-term, iterative, and infrastructural project – subsequent iterations will focus on additional energy formats including humidity, light, and color.