Datasets:
File size: 7,660 Bytes
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{
"id": 1,
"slug": "number-theory",
"name": "Number theory",
"discipline": "mathematics",
"blurb": "Primes, Diophantine equations, L-functions — the field with the highest ratio of easily stated to hopelessly hard.",
"sortOrder": 10
},
{
"id": 2,
"slug": "combinatorics",
"name": "Combinatorics",
"discipline": "mathematics",
"blurb": "Extremal and additive questions about finite structures, where a single clever construction can end a decades-old problem.",
"sortOrder": 11
},
{
"id": 3,
"slug": "graph-theory",
"name": "Graph theory",
"discipline": "mathematics",
"blurb": "Colourings, minors, expansion and the conjectures that organise them.",
"sortOrder": 12
},
{
"id": 4,
"slug": "analysis",
"name": "Analysis",
"discipline": "mathematics",
"blurb": "Harmonic analysis, operator theory and the fine structure of functions and spectra.",
"sortOrder": 13
},
{
"id": 5,
"slug": "partial-differential-equations",
"name": "Partial differential equations",
"discipline": "mathematics",
"blurb": "Regularity, blow-up and long-time behaviour of the equations of physics.",
"sortOrder": 14
},
{
"id": 6,
"slug": "geometry-and-topology",
"name": "Geometry and topology",
"discipline": "mathematics",
"blurb": "Manifolds, knots, packings and the stubborn gap between the smooth and the topological.",
"sortOrder": 15
},
{
"id": 7,
"slug": "algebra",
"name": "Algebra",
"discipline": "mathematics",
"blurb": "Groups, rings and the representation theory that keeps them honest.",
"sortOrder": 16
},
{
"id": 8,
"slug": "probability",
"name": "Probability",
"discipline": "mathematics",
"blurb": "Random walks, percolation and scaling limits — where physics intuition outruns proof by decades.",
"sortOrder": 17
},
{
"id": 9,
"slug": "dynamical-systems",
"name": "Dynamical systems",
"discipline": "mathematics",
"blurb": "Iteration, ergodic theory and the geometry of long-run behaviour.",
"sortOrder": 18
},
{
"id": 10,
"slug": "logic-and-foundations",
"name": "Logic and foundations",
"discipline": "mathematics",
"blurb": "Set theory, model theory and the limits of what axioms decide.",
"sortOrder": 19
},
{
"id": 11,
"slug": "computational-complexity",
"name": "Computational complexity",
"discipline": "computer-science",
"blurb": "What can be computed with bounded resources. Home of the discipline's largest embarrassments.",
"sortOrder": 30
},
{
"id": 12,
"slug": "algorithms",
"name": "Algorithms and data structures",
"discipline": "computer-science",
"blurb": "Upper bounds: the running times we can achieve, and the ones we cannot rule out.",
"sortOrder": 31
},
{
"id": 13,
"slug": "cryptography",
"name": "Cryptography",
"discipline": "computer-science",
"blurb": "Security reductions and the hardness assumptions the modern internet is standing on.",
"sortOrder": 32
},
{
"id": 14,
"slug": "computational-geometry",
"name": "Computational geometry",
"discipline": "computer-science",
"blurb": "Points, distances and arrangements, counted and computed.",
"sortOrder": 33
},
{
"id": 15,
"slug": "learning-theory",
"name": "Learning theory",
"discipline": "machine-learning",
"blurb": "Sample complexity, regret and the formal limits of learning from data. Source of the COLT open-problem track.",
"sortOrder": 50
},
{
"id": 16,
"slug": "optimization",
"name": "Optimization",
"discipline": "machine-learning",
"blurb": "Convergence rates, landscapes and the complexity of finding a good point.",
"sortOrder": 51
},
{
"id": 17,
"slug": "deep-learning-theory",
"name": "Deep learning theory",
"discipline": "machine-learning",
"blurb": "Why the methods that work in practice work at all — the field's largest open questions are still qualitative.",
"sortOrder": 52
},
{
"id": 18,
"slug": "high-dimensional-statistics",
"name": "High-dimensional statistics",
"discipline": "statistics",
"blurb": "Estimation when the number of parameters rivals the number of samples, and the computational price of it.",
"sortOrder": 60
},
{
"id": 19,
"slug": "quantum-information",
"name": "Quantum information",
"discipline": "physics",
"blurb": "Entanglement, channels and the structure of quantum correlations. Unusually rich in crisply stated problems.",
"sortOrder": 70
},
{
"id": 20,
"slug": "mathematical-physics",
"name": "Mathematical physics",
"discipline": "physics",
"blurb": "Rigorous foundations for the models physicists already trust.",
"sortOrder": 71
},
{
"id": 21,
"slug": "condensed-matter",
"name": "Condensed matter",
"discipline": "physics",
"blurb": "Phases of matter, and the many-body models nobody can solve.",
"sortOrder": 72
},
{
"id": 43,
"slug": "mathematics-general",
"name": "Mathematics · general",
"discipline": "mathematics",
"blurb": "Mathematical questions awaiting a more specific subject classification.",
"sortOrder": 29
},
{
"id": 44,
"slug": "mathematical-biology",
"name": "Mathematical biology",
"discipline": "biology",
"blurb": "Mathematical models of biological and other natural systems.",
"sortOrder": 60
},
{
"id": 45,
"slug": "mathematical-economics",
"name": "Mathematical economics and game theory",
"discipline": "economics",
"blurb": "Equilibria, games, and mathematical models of social systems.",
"sortOrder": 70
},
{
"id": 46,
"slug": "control-and-information",
"name": "Control and information theory",
"discipline": "mathematics",
"blurb": "Control systems, stability, communication, and information.",
"sortOrder": 19
},
{
"id": 143,
"slug": "astronomy",
"name": "Astronomy and solar physics",
"discipline": "astronomy",
"blurb": "Planet formation, stellar activity and the physical universe.",
"sortOrder": 80
},
{
"id": 144,
"slug": "evolution-and-origins",
"name": "Evolution and origins of life",
"discipline": "biology",
"blurb": "The emergence of living systems and the mechanisms of evolutionary change.",
"sortOrder": 81
},
{
"id": 145,
"slug": "neuroscience",
"name": "Neuroscience",
"discipline": "biology",
"blurb": "Neural mechanisms of perception, learning, memory and behavior.",
"sortOrder": 82
},
{
"id": 146,
"slug": "chemical-sciences",
"name": "Chemical sciences",
"discipline": "chemistry",
"blurb": "Molecular structure, reaction mechanisms and chemical origins.",
"sortOrder": 83
},
{
"id": 147,
"slug": "earth-sciences",
"name": "Earth sciences",
"discipline": "geoscience",
"blurb": "Earth's interior, landscape evolution and climate dynamics.",
"sortOrder": 84
},
{
"id": 148,
"slug": "statistical-inference",
"name": "Statistical inference",
"discipline": "statistics",
"blurb": "Reliable inference, testing and uncertainty under dependence.",
"sortOrder": 85
},
{
"id": 149,
"slug": "economic-theory",
"name": "Economic theory and empirical puzzles",
"discipline": "economics",
"blurb": "Models of decisions and economic observations that challenge them.",
"sortOrder": 86
}
]
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