Categories
The structure of atoms and molecules and how they absorb, emit and scatter radiation.
Abstract machines and the formal languages they recognize, from finite automata to Turing machines.
Road vehicles: powertrain, chassis and suspension, crash safety, and increasingly the electrification and autonomy of all of it.
The study of bacteria: their classification, physiology, genetics, and the diseases some of them cause.
Economics with a realistic person in it: bounded rationality, biases, framing and self-control, and what they do to models that assumed none of it.
The Hebrew Bible and New Testament studied as texts: their languages and manuscripts, their composition and sources, and the worlds they were written in.
The study of the chemical processes and substances that occur within living organisms.
The moral questions medicine and biology raise: consent, the end of life, resource allocation, and what should be done with a technology once it exists.
Why species live where they do: the distribution of life across the planet, and the ecological and evolutionary history behind the pattern.
The methods and tools that make biological data analysable: sequence alignment, annotation, and the databases behind them.
The role of metals in living systems -- the iron in haemoglobin, the zinc in enzymes -- and the synthetic models built to understand them.
Humans as an evolved and varying species: fossil ancestry, genetic variation, growth, adaptation, and the biology of living populations.
Behaviour traced to its biological substrate: hormones, genes, and the nervous system that carries all of it.
The study of living organisms, their structure, function, growth, evolution, and interactions.
The mechanics of living bodies: how bone and tissue bear load, how a joint moves, and how gait and posture can be measured.
Engineering applied to medicine: prosthetics, implants, imaging hardware, biomaterials and the devices that keep a failing organ working.
Physical methods and physical reasoning applied to living systems, from protein folding to nerve conduction.
Statistical methods built for biological and medical data: clinical trial design, survival analysis, and the inference problems that come with small, noisy samples.
Putting living systems to work: fermentation, recombinant proteins, cell culture and the industrial processes built around them.
The study of plants: their structure, growth, metabolism, reproduction and classification.