Finding the Hidden Gems of the Modern Photography World
By Stacy Kish
Media Inquiries- Dietrich College of Humanities and Social Sciences
- 541-829-3130
One student's vision is bringing focus to a group of photographers who are sometimes left out of the picture.
James Wang, a senior majoring in statistics and machine learning at Carnegie Mellon University, decided to merge two passions — machine learning and photography — for his Quantitative Social Science Scholars project to fill what he considered to be a gap.
"There is a shock of recognition when you find an artist who speaks about something with their art that you care about," said Wang. "I have always been drawn to creative [projects,] and I wanted to find an overlap between the visual arts and my technical classes."
Leveraging a concept developed by the Black List, Wang and his collaborators created the Silver List, a program aimed to raise the visibility of diverse, high-quality and otherwise-overlooked photographers. A Feb. 11 Vanity Fair article featured the Silver List's debut.
An Artistic Seed Is Planted
"[At CMU,] we are problem-solvers," said Joseph Kadane, the Leonard J. Savage University Professor of Statistics, Emeritus, and an advisor on the Silver List. "As such, we use whatever method fits the problem we're trying to solve."
During an independent study at CMU, Wang designed a machine learning computer model to produce photos in style of "Equivalents," a series of cloud photographs taken by Alfred Stieglitz in the early 20th century.
"I think sometimes there's a misconception that the arts have some kind of a monopoly on creativity, when in reality all fields need and benefit from creative thinking," said David Oresick, adjunct professor in the Department of History and an advisor on the Silver List. "I love the diversity of perspectives that are generated by this interdisciplinary approach."
With his success, Wang took his creative efforts to the next step. He decided to find a way to merge statistics with photography. The end result is the Silver List.
The Silver List Forms
The Silver List consists of 47 young and emerging artists who have been identified by 125 nonprofit organizations, photography curators, educators, scholars and critics. The contributors were asked to identify talented living artists that use photography as their medium.
Wang hopes to expose a broader audience to these often missed gems of artistic greatness.
"This is not a collection of work by straight, white, male, cis artists," said Wang. "It is extremely diverse. These are artists who bring different perspectives to the table, and we want to give them the attention they deserve."
In particular, the work of Vikesh Kapoor, an artist on the list, caught Wang's attention. Kapoor's work examines race, class and identity as a first-generation American.
"His work is about his immigrant parents and the [artist's] sense of connection and disconnection with different cultures," said Wang. "This struck a chord personally."
Wang is also capturing demographic information on the respondents and most of the artists through his surveys. He hopes to determine if the respondents' recommendations were influenced by who they are and how they identify.
"We were curious if recommenders tend to recommend artists who look like them, on some dimension, whether that be race, gender, age or something else," said Wang. "It's still in its early stages, but I'm very excited about what this unique approach can contribute to discussions around diversity and equity in photography and the art world as a whole."
Wang hopes to use this platform to support emerging artists and find them a seat at the table.
"This project isn't about me but about getting these artists recognition," said Wang. "The Silver List is a snapshot that shows the thoughts of a professional community that cares deeply about contemporary photography."
The Silver List is a partnership between Silver Eye Center for Photography, The Black List and CMU. Wang received guidance from Oresick, Kadane and Franklin Leonard, the founder of The Black List. This project received a Small Undergraduate Research Grant from CMU's Undergraduate Research Office.
James Wang