We’re very good at spotting patterns in data, but applying simple mathematical models isn't always useful, argues Professor Michael Stumpf. (Extract 3 of 4 from the Imperial College Podcast 21 March 2012)

Fight the power laws

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Professor David Hand, Emeritus Professor of Mathematics at Imperial College London, speaks on the subject of his book, The Improbability Principle,  about why incredibly unlikely things keep happening.

Data Science Insights - The Improbability Principle

Professor Rama Cont discusses how mathematical modelling can provide insights on systemic risk, financial regulation and financial stability.

Systemic risk: a challenge for mathematical modelling

Professor Damiano Brigo (Mathematics) answers the question: What is randomness, and how can we measure and model it with probability? In this his inaugural lecture.

Randomness, dynamics and risk

What links gas molecules, charged particles, bacteria and fish? Hear how partial differential equations help us understand their collective behaviour.

Partial differential equations: A journey from micro to macro

Professor Eric Yeatman of Imperial College looks ahead 20 years to how micro technologies can increase the intelligence of systems in digital economies.

Fight the power laws

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