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An Introduction to Programs

Niklaus Wirth said Algorithms + Data Structures = Programs. But programs are more than that. They are ubiquitous in modern life, but only a tiny minority of the population know how to program.

Neutrino: The Particle that Shouldn’t Exist

In 1930, the great physicist Wolfgang Pauli invented a new particle to save the principle of energy conservation in certain radioactive decays he was studying.

Screening: When is it Useful, When is it Not?

One of the most powerful tools in public health is screening – whether for cancers like cervical or breast cancer, genetic abnormalities, or infectious diseases. Screening can be transformational, detecting disease early and preventing it taking hold.

Connected Knowledge

The interconnectivity of living organisms and the planet is brought to light through the development of digital intelligence of the planet.

What Surgeons Can Learn from Polar Explorers and Fighter Pilots

Trauma surgery, combat flying and polar exploration require professionals to work in risky conditions where error can lead to catastrophe.

Bowel Cancer and Digestive Cancers

Bowel cancer is the third most common cancer in both men and women. A substantial proportion of bowel cancer is preventable.

Making a Monkey out of Darwin

When Darwin finally published the On the Origin of Species, he tried to avoid controversy by ignoring human origins. Yet evolution was soon being attacked as the godless ‘monkey theory’.

The Changing Geography of Ill Health

Ill health has always been concentrated in particular places; tackling these pockets of ill health is an essential role for public health. These may be driven by environmental factors, demography, deprivation and healthcare provision.

Data: The Past, the Present and the Future

Data structures are the critical ingredient of all good information systems. Poor data structures lead to horrendous problems of interoperability and nightmarish complexity; good ones can make the ‘uncomputable’ computable.

Understanding the Universe with AI

Over the last 30 years, digital technology produced an exponential increase in astronomical data. Within our lifetime, the entirety of the visible universe will have been mapped out: we will have seen everything there is to see. The question will then be: what does it all mean?

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