Data as Art" Exhibition: Call for Submissions
“Every story is complicated until it finds the right storyteller.”
– Anonymous
As we celebrate 10 years of the Bioinformatics Support Hub at the Cushing/Whitney Medical Library, we invite you to share your visual responses to the prompt “Data as Art." Though data representations hold specific scientific meaning, some datasets and data visualizations also possess inherent artistic sensibility on their own.
Cultivating an appreciation for data as art can reframe our conception of data as orderly, objective evidence into iterative, multifaceted artifacts produced in the non-linear search for new knowledge.
We invite you to submit "data as art" in conversation with this idea. All selected entries will be on display in the rotunda of the Cushing/Whitney Medical Library from late August 2024 to January 2025.
Inclusion Criteria:
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Quantitative Data Representation. Your work should visually depict quantitative data.
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Digital Works. We're seeking digital files
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Yale affiliates
Exclusion Criteria:
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Human Identified Data. Please refrain from using identifiable human data.
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Raw Data. Submit a representation of data (visualizations and aggregations of the data), not the raw data (e.g. data files such as .fastq, scripts, etc).
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Three-Dimensional Objects. We're focusing on bi-dimensional representations for this call.
Submission Details:
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Digital file: .pdf, .jpeg, .tiff
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Image resolution: at least 300 DPI
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Image size: at least 1 MB, max 1GB
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Image description: Include a title and a brief explanation of the data and the methodology used.
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Limit 3 submissions per person
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Please acknowledge the use of artificial intelligence and what program
Deadline:
Please submit your entry by May 17, 2024
If you have a YNHH email, please contact us directly to submit your entry: bioinfo.cwml@yale.edu
More Information:
Data as art refers to representations of data (visualizations and aggregations of the data) with an aesthetic. Any data representation -- as long as it does not contain personally identifying information -- is eligible if the submitter believes the work is artistic or conveys meaning beyond the information encoded in the data itself. Consider submitting a data representation born from a mistake but that led to something aesthetically beautiful.
If you're passionate about merging science and art, this call is for you! Let's transform data into art and showcase the beauty beyond the numbers together.
Questions:
Please contact bioinfo.cwml@yale.edu