Objective
"Modern society, including Europe, faces a variety of global issues, such as global environmental (including climate) changes, global economic and financial crises as well as global energy and sustainable development. Many of these global challenges facing humanity are geo-spatial in nature, with big spatio-temporal data from location-based events or services that are complexly connected and interdependent, requiring advanced, more accurate and effective statistical and econometric techniques in modeling and forecasting of various risks associated with these global challenges.
This project aims to develop the cutting-edge methodologies to advance the challenging theoretical and practical issues in statistical inference and econometric analysis of massive high-dimensional nonlinear spatial time series. It will explore some fundamental and difficult issues and establish a unifying novel theory for a framework of non-parametric and semi-parametric approaches to modeling and forecasting of massive nonlinear spatial time series data that involve complex structures and information both from temporal and spatial dimensions arising in such important applications as predicting environmental and climate as well as socioeconomic risks. The developed new generation of statistical and econometric technologies will empower the practitioners and policy-makers to produce more accurate quantitative forecasts that help to generate more informed countermeasures with regard to various risks that our modern society faces.
As one of the international pioneering researchers in nonlinear spatial and spatio-temporal data analysis, a new subject in the discipline of Statistics, this project, if supported, will greatly enhance and integrate the principal investigator (PI)’s research and career into the UK and Europe from Australia where the PI received strong financial supports in research from the Australian Research Council."
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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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-2013-CIG
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.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
SO17 1BJ SOUTHAMPTON
United Kingdom
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.