Nathalie Miebach
June 2014
Sculptural Weaving

Course Description
This course teaches traditional basket weaving techniques to be applied towards contemporary sculptural explorations. Based on weaving traditions that go back thousands of years, students learn the fundamentals of twining, random weave, and plaiting. Through the use of traditional and non-traditional materials, students learn to use these techniques as a springboard to adapt, integrate, and explore their own sculptural interests and material choices. Various types of base beginnings, different weaves and the integration of solid objects will also be explored. Students will build, destroy, unravel, reweave, glue, drill, hammer, tape, and do whatever needs to be done to problem-solve their way to success. The emphasis in this workshop is on play and using these sculptural approaches from the perspective of a tinkerer, willing to take risks with materials and the outcome of the work.

Artist's Biography
Nathalie Miebach lives and works in Boston, Massachusetts. She is the recipient of numerous awards and residencies, including a Pollock-Krasner Award, TED Global Fellowship, Massachusetts Cultural Council Fellowship and a recent nomination for the World Technology Award. Her work has been shown in the US and abroad and has been reviewed by publications spanning fine arts, craft, design, and technology.

Artist's Statement
I enjoy exploring the intersection of art and science by translating scientific data related to meteorology, ecology, and oceanography into woven sculptures and musical scores/ performances. My main method of data translation is that of basket weaving, which functions as a simple, tactile grid through which to interpret data into 3D space. Central to this work is my desire to explore the role visual and musical aesthetics play in the translation and understanding of complex scientific systems, such as weather. By utilizing artistic processes and everyday materials, I am questioning and expanding the traditional boundaries through which science data has been visually translated (ex: graphs, diagrams), while at the same time provoking expectations of what kind of visual vocabulary is considered to be in the domain of ‘science’ or ‘art’.

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