Mathematical Foundations
A typical paper contains theorems and proofs describing new results in discrete or combinatorial geometry, discrete differential geometry or topology, or in topological combinatorics. Evaluated on connection to computational geometry/topology, importance, technical depth, elegance, and potential impact.
Algorithmic Complexity
A typical paper contains algorithms, data structures, theorems, proofs, or lower bound constructions describing new results on computational geometry or topology problems. Evaluated on relevance, importance, technical depth, elegance, and potential impact of methods.
Implementation & Engineering
A typical paper addresses practical aspects of solving computational geometry and/or topology problems, such as algorithm implementation, robustness, exact/approximate/algebraic computation, or heuristics. Evaluated on relevance, clarity, quality of results, simplicity, and soundness of validation.
Experimentation
A typical paper contains experimental evaluations of data related to computational geometry and/or topology problems, such as algorithm comparisons, benchmark design, or cognitive studies. Evaluated on relevance, clarity of hypotheses, soundness of experiments, and expected impact.