EPSRC Reference: |
EP/N510129/1 |
Title: |
The Alan Turing Institute |
Principal Investigator: |
Smith, Professor Sir A |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Research |
Organisation: |
The Alan Turing Institute |
Scheme: |
Miscellaneous |
Starts: |
01 April 2015 |
Ends: |
30 September 2020 |
Value (£): |
42,000,000
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EPSRC Research Topic Classifications: |
Artificial Intelligence |
Statistics & Appl. Probability |
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EPSRC Industrial Sector Classifications: |
Aerospace, Defence and Marine |
Manufacturing |
Chemicals |
Communications |
Construction |
Electronics |
Environment |
Healthcare |
Pharmaceuticals and Biotechnology |
Energy |
Information Technologies |
Transport Systems and Vehicles |
Water |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The work of the Alan Turing Institute will enable knowledge and predictions to be extracted from large-scale and diverse digital data. It will bring together the best people, organisations and technologies in data science for the development of foundational theory, methodologies and algorithms. These will inform scientific and technological discoveries, create new business opportunities, accelerate solutions to global challenges, inform policy-making, and improve the environment, health and infrastructure of the world in an 'Age of Algorithms'.
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Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
https://www.turing.ac.uk |