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[Myexperiment-discuss] [Fwd: [MYGRID] [Fwd: [seminar] NaCTeM seminar/ Co


From: Carole Goble
Subject: [Myexperiment-discuss] [Fwd: [MYGRID] [Fwd: [seminar] NaCTeM seminar/ Computer Science as a Cornerstone in e-Science and other e-Disciplines]]
Date: Sun, 23 Dec 2007 22:09:06 +0000
User-agent: Thunderbird 1.5.0.14 (Windows/20071210)


for those of you here on the 9th

Carole

--- Begin Message --- Subject: [MYGRID] [Fwd: [seminar] NaCTeM seminar/ Computer Science as a Cornerstone in e-Science and other e-Disciplines] Date: Thu, 20 Dec 2007 15:24:30 +0000 User-agent: Thunderbird 1.5.0.13 (Windows/20070809)

sounds fun!

Carole

--- Begin Message --- Subject: [seminar] NaCTeM seminar/ Computer Science as a Cornerstone in e-Science and other e-Disciplines Date: Wed, 19 Dec 2007 18:51:00 +0000
NaCTeM Seminar


9 January 2008

MIB,  2.048



12:00 -13:00



Computer Science as a Cornerstone in e-Science and other e-Disciplines

Jon Patrick

Chair of Language Technology

School of Information Technologies

University of Sydney



E-Science is conceived of as a revolution in the way we conduct Science
by exploiting the use of ICT to connect scientists to share knowledge.
However the role and experience of the computer science  discipline has
not been identified as a contributor to setting up an e-science
infrastructure and hence it has deficits so significant that it will be
at best be a success only for the most aggressive and ICT literate
scientists and leave most of science on the sidelines.



Computer Science brings to the task of creating an e-Science revolution
two important knowledge bases: software engineering and machine
learning. The first is needed to build the e-science environment so that
it runs efficiently and satisfies all-comers. The second is needed so
that scientists can explore their data with a rich world of tools,
freely available. A model for the operations of e-Science built around
the expertises of computer scientists is discussed.





------------------------------------------------------------------

Dr Sophia Ananiadou, Reader in Text Mining,

School of Computer Science,

Director,  National Centre for Text Mining, www.nactem.ac.uk
<http://www.nactem.ac.uk>

Manchester Interdisciplinary Biocentre, www.mib.ac.uk
<http://www.mib.ac.uk>

131 Princess St, Manchester, M1 7DN

Email: address@hidden
<mailto:address@hidden>

Tel: +44 161 306 3092 Fax:+44 161 306 8918

http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/
<http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/>








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