Typical but not exclusive topics of interest include algorithms and data structures, computational complexity, randomness in computing, algorithmic graph theory and combinatorics, analysis of Boolean functions, approximation algorithms, cryptography, computational learning theory, continuous and discrete optimization, economics and computation, parallel and distributed algorithms, quantum computing, algorithmic coding theory, computational geometry and topology, computational applications of logic, algebraic computation, and computational and foundational aspects of areas such as machine learning, fairness, privacy, networks, data management, databases and computational biology. Papers that extend the reach of the theory of computing, or raise important problems that can benefit from theoretical investigation and analysis, are encouraged. The program committee will make every effort to consider a broad range of areas.

Double-blind reviewing will be used, and therefore submissions should not contain the authors' names or identifying information.

A detailed Call for Papers will be made available here shortly.