Data Science and Predictive Analytics

Data Science and Predictive Analytics

School of Nursing; Medical School

Faculty member: Ivo Dinov (Health Behavior and Biological Sciences; Computational Medicine and Bioinformatics)

Students in this course will work on projects to train machine-intelligent systems to learn, model, analyze, and synthesize images and other complex data sets. These works of art were chosen because they pose specific challenges to computer vision, information extraction, and data analytics. With an image like Khaled al-Sa’ai’s calagraphic mural, artificial intelligence might have difficulty determining which of the lines, shapes, and shades define arabic letters a human would immediately recognize. The display provides students with an opportunity for hands-on exploration of obfuscated information and contrasts the differences between human and machine visual cognition.


We want to see things in the art that might not have been visible to us without the computer’s vision.

Latest Stories

Interactive: Explore How Code Can Change the Way We See Art

How can technology change the way we look at art? Ivo Dinov’s class "Data Science and Predictive Analytics" looks at this question closely, as they use computer programming and coding to manipulate images. This 'choose your own adventure' guide examines how students might change a work of art, and therefore change our interpretation of the piece. 

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Works included in this collection

Exhibition Support

Lead support for this exhibition is provided by the University of Michigan Office of the Provost, Erica Gervais Pappendick and Ted Pappendick, the Eleanor Noyes Crumpacker Endowment Fund, and P.J. and Julie Solit.

Curriculum / Collection

Explore the infinite value of art in shaping our understanding of...well, everything.

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