Background

The Cantab Capital Institute for the Mathematics of Information (CCIMI) was pleased to announce its sixth annual academic conference, which focused on the academic advances in the mathematics of information.

Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty.

This event followed previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information.

Aims and Objectives

This conference brought together those academics working to advance data science and provided an update on the research and collaborations taking place at CCIMI specifically related uncertainty quantification. Additionally, it highlighted other potential collaborative opportunities, as well as projects being developed elsewhere related to data analysis.

There was a session of short “elevator pitches” from next generation researchers as well as a poster session by some registered delegates.

This event was off interest to participants including economists; social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied & computational analysis; quantum computing, cryptography, communication & security and those from data processing.

Posters

There was an opportunity to present a poster, with 6 posters being presented during the event. Poster prizes were given to two participants sponsors by the Royal Statistical Society.

Registration and Venue

Registration is now closed for this event. If you have any queries please contact: claire.bonner@newton.ac.uk. 

This event took place at The Møller Institute, Churchill College, Cambridge.