In 2012 the LeWitt Estate granted Landmarks a twenty-five year loan for Wall Drawing #520, a jewel-toned ink-wash drawing that initially had been installed in 1987 at the Whitney Museum of American Art in New York. The drawing’s floating cubes grace the interior of the Gates Dell Complex.
With LeWitt’s diagram and set of instructions, as well as the oversight of a master draftsman from the LeWitt Estate and a crew of six local artists, Landmarks installed the wall drawing over a three-week period in 2013. The drawing is situated on three walls leading to the auditorium in the north wing of the complex.
This project was funded through the capital improvement project of the Department of Computer Science. Landmarks thanks them and many others for their generous support, including:
Leadership
Andrée Bober and Landmarks
Pat Clubb and University Operations
Douglas Dempster and the College of Fine Arts
Landmarks Advisory Committee
Sophia LeWitt and the LeWitt Estate
Bruce Porter and the Department of Computer Science
William Powers and the Office of the President
Bob Rawski and the Office of Facilities Planning and Construction
David Rea and the Office of Campus Planning
Sharon Wood and the Faculty Building Advisory Committee
Project Team
Andrée Bober, curator and director, Landmarks
Mark Brooks, Office of Facilities Planning and Construction
Bill Butler, Pelli Clarke Pelli Architects
Gabriel Hurier, master draftsman, LeWitt Estate
Nisa Mason, project manager, Landmarks
Rustam Mehta, Pelli Clarke Pelli Architects
Anthony Sansotta, LeWitt Estate
Patrick Sheehy and Vault Fine Art Services
Draftsmen
Michael Abelman
Rachel Houston
Gabriel Hurier
Eileen Lammers
Clint Reams
John Shapley
Patrick Sheehy
Special Thanks
Steven Jones, Austin Commercial
Sam Krier, Austin Commercial
Debbie Landau and Madison Square Park Conservancy
Beth Palazzolo, administrative coordination, University Operations
Veronica Roberts, curatorial contributor
James Shackelford, Office of Facilities Planning and Construction
Patti Spencer, Department of Computer Science