ICMS 2020 Session: Databases in Mathematics

This session is part of ICMS 2020, to be held virtually (see the update below) in Braunschweig, Germany, 13-16 July 2020.

Big Data is becoming increasingly important in fundamental mathematics research, with the production and manipulation of large datasets playing an essential role. The subject is in the throes of a data revolution, with new theoretical results being driven by millions of computer experiments which produce terabytes of data stored in huge problem-specific databases. Although the information contained in these databases is of enormous importance, thorough understanding of the datasets is often hindered by the poor performance of off-the-shelf database technologies in answering the types of broad unstructured queries of interest to mathematicians. The aim of this session is to bring together experts working with and creating large datasets in Pure Mathematics. We will explore the questions asked by these researchers, discuss the database systems they have developed, and their integration with existing Computer Algebra Systems.

Session organised by Gavin Brown, Tom Coates, and Alexander Kasprzyk.

Update on COVID-19

Due to the COVID-19 pandemic, ICMS 2020 will now be a virtual conference, with session talks held online. Further information about the virtual format of ICMS 2020 can be found here.

Talks and Abstracts

Schedule for the Live Discussions

All times are in CEST.

Monday, July 13 Tuesday, July 14
16:30-16:40 Yang-Hui He Bettina Eick
16:40-16:45 Break Break
16:45-16:55 Andrew Sutherland Giuseppe Pitton
16:55-17:00 Break Break
17:00-17:10 Fredrik Johansson Andreas Paffenholz