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Visualizing Science Winners for 2021 We are looking for images that celebrate the extraordinary beauty of science and the scientific process. In essence, we want images that capture the moment where science and art collide.

First prize is $1,000 and cash prizes are also awarded for five other submissions. All winning images will be prominently displayed on campus and on the college's website. Many of the submitted images will be shared in print, video, and other areas of communication. 

Images can include visualizations, photographs, microscope images, fractals, patterns, mathematical equations, and so on. You can see winning images from past years here. Your images will help us tell stories about the great scientific work being conducted by current members of the College of Natural Sciences.

Submission Guidelines

  1. Images must have been produced by a member of the College of Natural Sciences community (i.e., student, staff member, faculty member, etc.) and pertain to science. They can include visualizations, photographs, microscope images, fractals, patterns, scalable vector files, etc.
  2. Submissions may be featured on the college's website and materials. If this is an image from an organization or company you work with or research done at another institution, please ensure you have rights to share it with UT Austin.
  3. To qualify for the top award, submissions must be from individuals who are students, faculty or staff in the College of Natural Sciences at the time of the award. 
  4. Send submissions to Steve Franklin through UT Box, by email at sefranklin@mail.utexas.edu, or by using the upload box below.
    1. Add a short description of the image, including where it was captured.
    2. All images are welcome, but larger digital images are preferred. Ideal size: 8700x5400 pixels or 14.5in x 9in at 600dpi (but larger is better—keep in mind that the winning images will be need to be enlarged to 58"x36"). Please submit digital files in one of the following formats: jpeg, png, tiff, eps, or ai.
    3. Choose your best 2-3 images.
    4. Non-winning submissions from previous years are welcome.
  5. Submissions are due by January 31, 2022.