2 research outputs found
Data Materialization: A Hybrid Process for Crafting a Teapot
Data materialization is a workflow developed to create 3D objects from data-informed designs. Building upon traditional metalwork and craft, and new technology's data visualization with generative art, this workflow expresses conceptually relevant data through 3D forms which are fabricated in traditional media. The process allows for the subtle application of data in visual art, allowing the aesthetic allure of the art object or installation to inspire intellectual intrigue. This paper describes the technical and creative process of Modern Dowry, a silver-plated 3D-print teapot on view at the Museum of the City of New York, June 2017--June 2018.Museum of the City of New York; Jeannine Falino; the National Science Foundation for supporting the Computing in the Arts workshops (DUE 1323610, DUE 1323605,
DUE 1323593); Reiser’s fellow principle investigators (Bill Manaris, Renee McCauley, Jennifer Burg and
Rebecca Bruce); Seton Hall University’s Digital Humanities Fellowship Program for funding and support;
and Vassar College’s Creative Arts Across Disciplines Program for their summer residency and exceptional
collegiality