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Imagining Data

Over the years data has become a buzzword, and a precious commodity—what we divulge through online activity is more valuable than the purchases and transactions we may be making. Our current status—personal, societal, political, environmental—can be described in terms of numbers and algorithms. Even the Covid-19 pandemic has made statistics an international obsession as we follow contagion, spikes, vaccine efficacy rates, and hospital capacities. 

Guest curated by Ginger Duggan and Judy Fox of c2-curatorsquared, Imagining Data presents a selection of artists from around the world, who are showing what data can look like, in paintings, drawings, sculpture, audio-visual installation, fashion, and even performance. Data visualization is a discipline unto itself and is by no means a new way of making art. The artists showcased in this exhibition are developing systems to transform data into images, rationalizing the image-making process while creating resonating works of art. Participating artists and designers and their data-inspired work are divided into four subject areas: Natural/Environmental Conditions, Personal Biometrics, Communal Movement, and Randomized Content.

Participating Artists: Jill Baroff, Alicja Biala/Iwo Borkowicz, Louis Cameron, Tiffany Chung, Ghost of a Dream and Jennifer Dalton, Ben Doessel/James Lee, Ekene Ijeoma, Spencer Finch, Richard Ibghy/Marilou Lemmens, Nina Katchadourian, Giorgia Lupi, Aude Moreau, Katie Paterson, Dario Robleto, Evan Roth, PLAYLAB, INC. and Family New York in collaboration with Floating Point, Melati Suryodarmo, Alison Tsai, Norwood Viviano, Jorinde Voigt, Lee M. Walton, Andrew S. Yang, and Yu-Wen Wu.

 

 

Above Image: PLAYLAB, INC. and Family New York in collaboration with Floating Point; POOL Light, 2019. Image courtesy of artists.

Nina GomezImagining Data
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