Key Pages
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OUTLOOK |
Biology and Biotechnology |
Chemistry |
Complexity |
Computer Science |
Ecology and Earth Sciences |
Economics |
Energy |
Materials |
Mathematics |
Nanotechnology |
Social Sciences |
Space Sciences |
Physics |
Psychology |
Geography of Science |
Structure of Science |
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THE PROJECT |
Project Description |
Project Team |
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INSTITUTIONS |
Horizon Scanning Centre |
Institute for the Future |
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Mathematical modeling and analysis of large data sets promise to enable application of knowledge obtained from explorations of the human genome to the prevention, diagnosis, and treatment of disease.
Completion of the 2010 Project to understand the function of all genes in a model plant is expected to provide information applicable to plants of industrial usefulness, such as crop plants and medicinal plants.
Mathematical tools for discovering patterns in large databases, along with stochastic modeling, could contribute to better decision making in a range of fields.
Biological research is stimulating work in new realms of mathematics, and new maths is contributing to advances in biology. Growing synergy between the two disciplines promises to accelerate progress in both fields in coming decades.
Solution of the seven maths problems named by the Clay Mathematics Institute as its Millennium Prize Problems may blur the line between 'pure' and 'applied' mathematics and could also have implications for computer and network architectures and security.
