Objective
"I have recently introduced the Network Approach to Psychopathology. This approach is based on the interpretation of mental disorders as causal systems. Such systems have two basic building blocks: symptoms (i.e. problems like insomnia, fatigue, and concentration problems) and connections between symptoms (i.e. causal and homeostatic relations, such as insomnia → fatigue → concentration problems). Together, these building blocks constitute a network, which can be analyzed as a complex system. I have successfully used this approach to explain important phenomena in psychopathology research, such as comorbidity, spontaneous recovery, and prevalence differences between disorders. In addition, I have invented techniques to identify dynamic network structures from time series data, as obtained through experience sampling methodology. This proposal consolidates the Network Approach to Psychopathology through (a) further development and testing of methodologies, and (b) applications of the model to important research domains in clinical psychology. The project is structured in two postdoc projects and two Ph. D. projects. Postdoc project Network estimation and control develops analysis techniques for the estimation of large symptom networks. Postdoc project Early warning signals and transitions investigates whether transitions in symptom networks can be predicted using early warning signals, such as critical slowing down. Ph. D. project Resilience and vulnerability tests the hypothesis that more strongly connected networks are more vulnerable to disorders and investigates whether depressive episodes lead to prolonged changes in network structure. Ph. D. project The dark matter of psychopathology investigates the role of ""anti-symptoms"" – networks of positive factors that have buffering effects on symptom networks. This new approach to the study of psychopathology aims to establish a breakthrough in the understanding of mental disorders."
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.
- medical and health sciences clinical medicine psychiatry sleep disorders
- natural sciences physical sciences astronomy astrophysics dark matter
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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.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
ERC-COG - Consolidator Grant
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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.
(opens in new window) ERC-2014-CoG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1012WX Amsterdam
Netherlands
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.