Information theory (Applied mathematics) | The Alan Turing Institute

Projects

Old textile machinery

Living with machines

A five-year research project that will take a fresh look at the well-known history of the Industrial Revolution using data-driven approaches

Warzone

Global urban analytics for resilient defence

Understanding the mechanics that cause conflict and identifying multi-scale population areas that are at risk of conflict

People

chris

Christopher Parsonson

Enrichment Student

pilgrim

Charlie Pilgrim

Enrichment Student

andrea

Andrea Luppi

Enrichment Student

shishir

Shishir Rao

Enrichment Student

gabriel

Gabriel Jones

Enrichment Student

tom

Tom Bewley

Enrichment Student

Cécile de Bézenac

Cécile de Bézenac

Doctoral Student

Dr Kaspar Beelen

Research Associate

Tristan Bekinschtein

Dr Tristan Bekinschtein

Turing Fellow

Events

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Measuring information exposure in dynamic and dependent networks

Monday 22 Jul 2019

Time: 10:00 - 16:00

Rebecca Rumbul Polly Curtis Professor David Lazer Hywel Williams Dr Travis Coan Dr Iulia Cioroianu Nicola Aitken Akshat Rathi (senior reporter for Quartz)

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At scale anomaly detection for enterprise cyber defence

Thursday 25 Apr 2019

Time: 13:30 - 16:30

Cole Sodja Joshua Neil

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Information-Theoretic Foundations and Algorithms for Large-Scale Data Inference

Thursday 17 Dec 2015

Time: 17:37

Articles

crowds of people

The Turing, HSBC and the Office for National Statistics award funding for nine new projects to drive research in economic data science

The Alan Turing Institute is pleased to announce nine new projects which have been...

Thursday 15 Nov 2018

Impact stories

Bombed out city from the air

Predicting conflict – a year in advance

Ground-breaking technology developed at The Alan Turing Institute could revolutionise the prediction of global conflict, boosting peacekeeping efforts and saving lives

Interest groups

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Learning the organisational principles of living systems

Can machine learning and AI help us to discover organisational principles of living systems?

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Uncertainty quantification

How do we reliably account for uncertainties when mathematical and computational models are used to describe physical and social processes?