Unlocking the potential of human problem-solving in data-rich environments | Nick Jennings

AI is better than humans at solving some kinds of questions, while humans are better than AI at others. Professor Nick Jennings, who holds a chair in AI at Imperial College, London, designs “human-agent collectives” that learn whether to trust humans or machines more in a particular situation. He explains how these systems have helped decide, for example, where to place water filters in Kathmandu after the recent earthquake.

Tackling the data skills crunch with self-programming machines | Gerard Gorman

With ever more data and computational power at our disposal, software is becoming more costly and complicated to write. We need new software-writing software, analogous to the 1950s compilers that allowed computers to be programmed in human-like language rather than machine code. Dr Gerard Gorman, Reader in Computational Science at Imperial College, London, explains how automated code is improving access to advanced computing capabilities.

Estimating a supermodel of life expectancy using high-performance computing | Katharina Hauck

What are the most important determinants of life expectancy? Using the “model averaging” analysis approach, Katharina Hauck – Senior Lecturer at Imperial College’s School of Public Health – explains how 45 determinants were studied across two decades worth of data from low-income countries. Factors which showed a robust connection to life expectancy included sanitation and primary schooling. Surprisingly, the same was not true for factors such as air pollution and healthcare.

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