Data Kinesthetics | Data Sensorium

Data Sensorium 1 - Environmental Migration is a performance project that expresses migratory data through movement. The work explores environmental migration data from the Internal Displacement Monitoring Centre with the intent to raise awareness on the relationship between climate change and disaster displacement. It does this through a process of data visualization and data kinesthetics.

The content, environmental migration accelerated by climate change, makes realizing this work urgent. In 2020, more people migrated due to environmental disasters than human war, and 30 million of those displacements were due to floods, storms, or wildfires. Data Sensorium draws attention to this important issue while simultaneously innovating data kinesthetics as a creative methodology in data representation and the performance arts.

Data Sensorium is a metaLAB (at) Harvard project with seed funding from the Harvard University Center for the Environment (HUCE). The project launched in 2022 via residencies at the Harvard ArtLab and RoundAntennae. Collaborators include Isabelle Edgar (dancer) and Jordan Kruguer (choreographic interface co-developer). Advisors include KT Nelson (artistic mentor), Ilya Vidrin (dramaturg), and Hélène Benveniste (HUCE Fellow).

The project has led to a peer-reviewed publication in the International Journal of Performance Arts and Digital Media. In Fall 2023, it was shared via a presentation, performance, and workshop at Data Kinesthetics: Mapping Data to and through the Body, a symposium I co-led with Ilya Vidrin at the Harvard ArtLab. Most recently, it was featured as a 2-channel video at the Honor Fraser Gallery in L.A. as part of group exhibition SMALL VO1CE curated by Jesse Damiani.

Data Kinesthetics

Given a dataset about people, humans are often enumerated as indices, understood in aggregate, and rendered as dots or areas in charts. How can this dehumanizing treatment of data inspire a humanitarian response? Through a process of data kinesthetics I explore the stories that data tell in performance. For clarity, I define data kinesthetics as a communicative and artistic method that approaches the body as a choreographic medium to physicalize and perform abstract data. The practice fills a gap in data communication where visual, aural, and haptic media are used for data visualization, data sonification, and data physicalization respectively – the gap being the use of a kinesthetic medium for data kinesthetics. By personalizing data in the body and re-constituting them in time and space, especially in the context of performance, I believe sterile datasets can become more culturally communicative and accessible.

Data Sensorium Process

In spring 2022, I began work on Data Sensorium 1 – Environmental Migration. Working with dancer Isabelle Edgar, we encoded variables as gestures and developed a movement score for progressing through the Internal Disaster Monitoring Centre data. In addition, I created a choreographic interface that reinforces the movement score with data visualizations and video feedback. The visualizations were programmed in JavaScript using the d3.js library. The video element, co-developed with Jordan Kruguer, uses machine vision and learning to recognize the gestures and provide visual feedback for supporting dance literacy. The work is 20 minutes long. 🔎 Videos at bottom! 👁

Choreographic interface featuring the 2014 movement score for the world region Americas

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