Category / Computer Science

EPSRC/ESRC Invitation for Outlines: Consortia for Exploratory Research in Security

Funding opportunities

                                                                                                                                                                                                         

As part of their contribution to the RCUK Global Uncertainties Programme, EPSRC and ESRC are jointly inviting proposals for research consortia (PDF 79KB) to explore current and future cyber security challenges.

CEReS consortia are encouraged to work across or between established disciplines and to draw on expertise from multiple research organisations wherever necessary. They particularly welcome proposals with significant novel mathematics and/or social science content.

Initially, outline proposals will be assessed for their novelty and fit to the aims of the call. Successful outline applicants will be invited to submit full proposals later in 2012.

EPSRC and ESRC have made available up to £4M available to fund full proposals funded through the CEReS call. They expect to support a range of projects which is broad in terms of scale (likely to be between £500k and £1M for each consortium), duration (two to four years), mix of disciplines (with single discipline proposals being the exception rather than the norm) and subject matter (although all must focus on cyber security-related challenges in the broadest sense).  Activities funded through CEReS are limited to those currently allowed on EPSRC grants. As a result they will not be able to accept applications which request funding for PhD studentships, even if they are outside EPSRC’s remit.

CEReS is a call for exploratory research. Consortia should identify ambitious goals with far-reaching impacts on future research and, potentially at least, practice in cyber security. Projects which continue or extend current work in a straightforward or obvious way will not be supported. Collaboration between disciplines is strongly encouraged. Although it is not essential that all projects include cross- or intra-disciplinary working it is likely that the assessment process will select positively for consortia which adopt this approach.

Although it is being managed by EPSRC the CEReS call is also open to researchers eligible to apply for targeted funding from ESRC. There is no quota of applications or funding based on Research Council remits. It is possible for the same researcher(s) to be associated with more than one consortium application.

For further information visit the call website: http://www.epsrc.ac.uk/funding/calls/open/Pages/ceres.aspx and read the call documentation: http://www.epsrc.ac.uk/SiteCollectionDocuments/Calls/2012/CEReSCall.pdf. Outline proposals should be prepared and submitted using the Research Councils’ Joint electronic Submission (JeS) System (https://je-s.rcuk.ac.uk/).

The RKE Operations team can help you with your application.

The closing date is 14 June 2012.

Seminar on Software Design and Research Tomorrow

It is my pleasure to announce the next seminar of the STRC tomorrow, 2nd of May in Lawrence Lecture Theatre at 16:00 h

The program for tomorrow evening is particularly attractive for those of you connected with software research and design in varied industrial settings.
Our speaker this time will be Ms Monika Bedersen, a highly experience Project Manager and developer in EVONIK industries AG since 1986; where she was responsible for the successful completion of very challenging projects; and a nice colleague.
Please feel free to show up any time on your convenience,

Best Wishes, Emili

(ToK Coordinator STRC)

Workshop on Evolving Predictive Systems

Workshop on Evolving Predictive Systems

co-located with the 12th International Conference on Parallel Problem Solving From Nature (PPSN-2012)

September 1-5, 2012

Taormina, Italy

In recent years, the data mining scientific community witnessed a very strong demand for predictive systems that will be able to evolve and adapt. The range of tasks fulfilled by evolving predictive systems is very broad and covering many different application areas. Despite the high number of publications dealing with applications, there are still unaddressed pressing issues of evolving predictive systems design and development, such as complexity analysis, ensemble architectures and meta-learning. This workshop is devoted to the discussion of robust, context aware and easy-to-use evolving predictive systems, which improve, adapt and possibly maintain themselves within their respective environments and constraints.  Contributions presenting recent work on ensemble systems, complexity analysis and meta-learning are particularly welcome.

The workshop addresses people from the scientific IT community who are active in the research domain of data-driven systems capable to adapt to changing situations and environments. The considered approaches can include evolutionary algorithms, other nature-inspired methods or heuristic approaches. Special focus will be put on research dealing with ensemble architectures, as well as with complexity issues (size, form and interpretation of the solution formula, time and algorithm complexity) and meta-learning incorporation.

Researchers are invited to submit original work as papers of not more than 10 pages. Authors are encouraged to submit their papers in LaTeX. Papers must be submitted in Springer Verlag’s LNCS style.

Topics of interest

Topics that are in the area of interest of the workshop include, but are not limited to:

•             Advanced Modelling Techniques for Evolving Predictive Systems
•             Evolving Predictive Ensembles
•             Complexity Analysis for Evolving Predictive Systems
•             Advanced Adaptation Mechanisms
•             Meta-learning
•             Applications

Important Dates

Submission of Papers: 2 April 2012

Notification of Acceptance: 1 June 2012

Camera-Ready submission of Papers: 20 June 2012

Early Registration Deadline: 25 June 2012

Conference: 1-5 September 2012

Papers are submitted by direct email to mailto:atsakonas@bournemouth.ac.uk

Organization Committee

Bogdan Gabrys, Bournemouth University, UK, bgabrys@bournemouth.ac.uk

Athanasios Tsakonas, Bournemouth University, UK, atsakonas@bournemouth.ac.uk

Mailing address: Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, Dorset, BH12 5BB, UK

Using computational intelligence to develop predictive modelling that benefits organisations

Watch this excellent short video from BU’s Professor Bodgan Gabrys on the Computer Intelligence EU grant (INFER project) used to develop predictive modelling that’s applicable to multiple industries.

To see other BU videos on YouTube go to the BU YouTube page!

 

httpv://www.youtube.com/watch?v=8r5zGqCtVSc