wais-seminar-20170510.mp4
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wais-seminar-20170510.mp4 |
The Chemistry of Data
Abstract: In my talk I will discuss the way in which the ideas of the Data Science, Web and Semantic Web, Open Science contribute to new methods and approaches to data driven chemistry and chemical informatics. A key aspect of the discussion will be how to facilitate the improved acquisition and integration and analysis of chemical data in context. I will refer to lesions learnt in the e-Science and Digital Economy (particularly the IT as a Utility Network) programmes and the EDISON H2020 project. Jeremy G. Frey Jeremy Frey obtained his DPhil on experimental and theoretical aspects of van der Waals complexes, in Oxford, followed by a fellowship at the Lawrence Berkeley Laboratory with Yuan Lee. In 1984 he joined the University of Southampton, where he is now Professor of Physical Chemistry and head of the Computational Systems Chemistry Group. His experimental research probes molecular organization from single molecules to liquid interfaces using laser spectroscopy from the IR to soft X-rays. In parallel he investigates how e-Science infrastructure supports intelligent access to scientific data. He is strongly committed to collaborative inter and multi-disciplinary research and is skilled in facilitating communication between diverse disciplines speaking different languages. He has successfully lead several large interdisciplinary collaborative RUCK research grants, from Basic Technology (Coherent Soft X-Ray imaging), e-Science (CombeChem) and most recently the Digital Economy Challenge area of IT as a Utility Network+, where he has successfully created a unique platform to facilitate collaboration across the social, science, engineering and design domains, working with all the research, commercial, third and governmental sectors.
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Ms Amber Bu
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Date Added: | 08 May 2017 11:01 |
Creators Name: | Jeremy G. Frey |
Tags: | wais seminar, web science, WAIS seminar, Web Science, WAIS Research Seminar, computer science, Research Seminar, Wais Research Seminar, WAIS, WAIS Semiar, Data Science Seminar, Data Science |
Viewing permissions: | University |
Link: | http://edshare.soton.ac.uk/id/eprint/18710 |
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