Objective
The objective of the multidisciplinary ArSInformatiCa project is to reinforce the international dimension of a research career of European computer scientist by training him in complementary skills in a world-class research centre, the George R. Brown School of Engineering at William M. Rice University in Houston, USA. The research will be carried out in two fields of information sciences: artificial intelligence (in particular machine learning) and distributed computer simulations applied to retrieval meaningful information from the whole-genome-scale variation data produced by high throughput genotyping technologies. In particular, the interest will be given to inherited predisposition to complex genetic diseases, including autoimmune diseases and cancers. An extremely large amount of data from the currently launched 1000 Genomes Project and Cancer Genome Project, requires a development of new advanced information technologies for understanding these data. This is an important challenge for information sciences, which motivates the goal of the ArSInformatiCa project. The progress in machine learning will not be limited to genetic applications. Rather, the methods developed, will be verified by application to human/cancer genetics with a potential to benefit wider and general context of data mining in very large and multidimensional data repositories. An example is the development of applicant’s rule-based method known as quasi-dominant rough set approach. While this method will be primarily tested in search for signatures of natural selection at molecular level in genes involved in human familial cancers, it is expected to become a general machine learning approach. Having a clear perspective of a long-term collaboration between Rice University and European research institutions, the ArSInformatiCa project will also contribute to the excellence of the European Research Area by a research inspired by the project results and performed after its completion.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences data science data mining
- medical and health sciences clinical medicine oncology
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences biological sciences genetics genomes
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2011-IOF
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
44-100 GLIWICE
Poland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.