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CRISP SIGNED

Cognitive Aging: From Educational Opportunities to Individual Risk Profiles

Total Cost €

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EC-Contrib. €

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Partnership

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Project "CRISP" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DU LUXEMBOURG 

Organization address
address: 2 AVENUE DE L'UNIVERSITE
city: ESCH-SUR-ALZETTE
postcode: 4365
website: http://wwwen.uni.lu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Luxembourg [LU]
 Total cost 1˙148˙290 €
 EC max contribution 1˙148˙290 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DU LUXEMBOURG LU (ESCH-SUR-ALZETTE) coordinator 1˙148˙290.00

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 Project objective

Cognitive impairment and dementia have dramatic individual and social consequences, and create high economic costs for societies. In order to delay cognitive aging of future generations as long as possible, we need evidence about which contextual factors are most supportive for individuals to reach highest cognitive levels relative to their potential. At the same time, for current older generations, we need scalable methods to exactly identify individuals at risk of cognitive impairment. The project intends to apply recent methodological and statistical advancements to reach two objectives. Firstly, contextual influences on cognitive aging will be comparatively assessed, with a focus on inequalities related to educational opportunities and gender inequalities. This will be done using longitudinal, population-representative, harmonized cross-national aging surveys, merged with contextual information. Secondly, the project will quantify the ability of singular and clustered individual characteristics, such as indicators of cognitive reserve and behaviour change, to predict cognitive aging and diagnosis of dementia. Project methodology will rely partly on parametric ‘traditional’ multilevel- or fixed-effects modelling, partly on non-parametric statistical learning approaches, to address objectives both hypothesis- and data-driven. Applying statistical learning techniques in the field of cognitive reserve will open new research avenues for efficient handling of large amounts of data, among which most prominently the accurate prediction of health and disease outcomes. Quantifying the role of contextual inequalities related to education and gender will guide policymaking in and beyond the project. Assessing risk profiles of individuals in relation to cognitive aging will support efficient and scalable risk screening of individuals. Identifying the value of behaviour change to delay cognitive impairment will guide treatment plans for individuals affected by dementia.

 Publications

year authors and title journal last update
List of publications.
2019 Leist, Anja
\"Bericht über die \"\"Demenzforschungstage\"\" 2019. Einbezug von Betroffenen in die Forschung zu kognitivem Altern und Demenz\"
published pages: , ISSN: , DOI:
1 2019-11-25
2019 Leist, Anja
Social and behavioral factors in cognitive aging: Applying the causal inference framework in observational studies
published pages: , ISSN: , DOI:
1 2019-11-25
2019 Leist, Anja; Bar-Haim, Eyal; Chauvel, Louis
The Long-lasting Impact of Inequality of Educational Opportunities on Later-life Cognitive Functioning
published pages: , ISSN: , DOI:
1 2019-11-25

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The information about "CRISP" are provided by the European Opendata Portal: CORDIS opendata.

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