Project description
FET Open
With the advance and wide usage of GPS enabled devices and other positioning systems, mobility behaviour of individuals can now be captured and streamed into a data warehouse for online or historical data analysis. We refer to such data as mobility data. Mobility data mining comes into picture as an emerging field which aims to extract knowledge from mobility data with a lot of opportunities as well as risks. The risks arise from the fact that, the mobility data is mostly about people, where they have been, at what times, how often, and with whom. Therefore privacy is a major concern, and needs to be addressed before the opportunities of mobility data mining can be harvested. MODAP aims to stimulate an interdisciplinary research area combining a variety of disciplines such as data mining, geography, visualization, data/knowledge representation, and transforming them into a new context of mobility while considering privacy which is the social aspect of this project. The high impact of MODAP is mainly due to the two related facets of its area of interest, i.e. people's movement behaviour, and the associated privacy implications. Privacy is often associated with the negative impact of technology, especially with recent scandals in the US such as AOL's data release which had a lot of media coverage. MODAP aims to turn this negative impact into positive impact by showing that privacy technology can be integrated into mobility data mining which is a challenging task. This very aim of MODAP also imposes a high risk, since nobody knows what kinds of privacy threats exist due to mobility data and how such data can be linked to other data sources.
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
- natural sciences computer and information sciences knowledge engineering
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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-ICT-2009-C
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
34956 Istanbul
Türkiye
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.