The topics of the Annual Symposium on Computational Geometry reflect the rich diversity of research interests in computational geometry. They are intended to highlight both the depth and scope of computational geometry, and to invite fruitful interactions with other disciplines. Topics of interest include, but are not limited to: * design, analysis, and implementation of geometric algorithms and data structures; lower bounds on the computational complexity of geometric problems; * mathematical, numerical, and algebraic issues arising in the formulation, analysis, implementation, and experimental evaluation of geometric algorithms and heuristics; discrete and combinatorial geometry; computational topology; * novel algorithmic applications of geometry in computer graphics, geometric modeling, computer-aided design and manufacturing, scientific computing, geographic information systems, database systems, robotics, computational biology, machine learning, sensor networks, medical imaging, combinatorial optimization, statistical analysis, discrete differential geometry, theoretical computer science, graph drawing, pure mathematics, and other fields.