There is a wealth of mathematical software available today, most of which are free and open-source, but very specialised: for example nauty for graph isomorphism, Singular for polynomials, Pari for number theory. Additionally there are databases of objects like the OEIS, or the Small Group Library.
In contemporary mathematics research, we use and combine these specialised tools, which requires domain-specific knowledge, data access and conversion, and low-level programming for interfacing between them.
This is tedious, error-prone, and does not scale: Addressing the demand for better composability there are huge software packages like SageMath, data description languages like OpenMath, and RPC mechanisms like SCSCP.
The aim of this session is to provide a forum for developers and users of mathematical software with an interest in composablity and interoperability of, and knowledge and data exchange between systems, to share experiences, solutions, and a vision for the future.