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Progress: 91.88%   WWI-WE Version: 7
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Mapping Weak Signals

Inspired by: FP7 » Care Communities

version: 7 / updated: 2011-01-27
id: #1522 / version id: #27
mode: VIEW

Originally submitted by: Cornelia Daheim
List of all contributors by versions (mouse over)
Last changed by: Sivert von Saldern
WI-WE status:
submitted unpublished

Source of inspiration

European Commission Framework Programme for RTD (FP7)

Theme/activity of inspiration

Theme 1 - Health

Sub-theme/area of inspiration

Other actions across health themes

Uploaded reports, images or pictures related to the Weak Signal

File name File type File size
Care_Communities.jpg image 191835 open

Signal's headline

(max. 9 words)
Care Communities

Signal's description

(approx. 150 words)
Please describe the Weak Signal (approx. 150 words)
Due to the ageing society and the need for nursing, new forms of living are being established: e.g. elderly people live together in "care-communities" and live in multi generation houses to be taken care of and look after each other.

Keywords

care-communities, health care, multi generation houses, ageing society, nursing

Mini-description

(max. 250 characters)
Due to the ageing society and the need for nursing, new forms of living are being established: e.g. elderly people live together in "care-communities" and live in multi generation houses to be taken care of and to look after each other.

Signal's first apperance

2000-2005

Signal's potential evolution

It could lead to...
issue type of issue/development potential impact on society timeframe for the issue to become at least 50% probable
#1 -Nowadays many families have to carry high burdens due to caring for and financially supporting their elder relatives. Care Communities, particularly multi-generation houses might provide a solution to this situation. discontinuation
 		very beneficial
 		now-2025

Under what assumption the Weak Signal might evolve.

higher willingness of elderly to share houses and apartments

Importance

please specify
please select
Level 2: important for a particular world region industrial countries with ageing societies, but mainly EU

Filters preventing the signal's monitoring

social filters (class, status, education level)

Key driving forces of this signal

Please use these boxes to provide up to 2 drivers of HIGH importance. Click on HELP to see examples:
Driver 1 Driver 2
Social ageing society

Major risks & opportunities associated to the signal

Please choose the most appropriate timeframe option(s) to which you would like to provide inputs.
Risks Opportunities
between 2015-2025 implementation of a "care community stucture" that ensure to care for the rising number of elderly

Potential stakeholders' actions

short-term actions
(now-2015) 		longer-term
(after 2015)
Policy actors (at the international, European and national levels) supporting (conceptual and financially) innovative models taking into account the rising number of seniors
Business actors (incl. SMEs) realise innovative business models in housing to meet the need of elderly
Academic/Research sector develop a concept for elderly (such as care communities) care that takes into account the rising number of seniors
Non-for-profit organisations (e.g. NGOs, political parties, social movements, voluntary associations) offer programms for elderly (e.g. networks to find like-minded people for care communities)

Signal's relevance for European Grand Challenges

where? please justify:
particularly relevant Europe world
Diseases, health and well-being
Social exclusion & poverty
Social cohesion and diversity

Signal's relevance for thematic research areas

please justify:
particularly relevant
Health
Social Sciences and Humanities
Science in society

Pan-European strategies influencing the signal

please justify:
particularly relevant
Strengthening research institutions and universities

Research-friendly strategies potentially improving understanding of the signal

For further information about 'research-friendly strategies' click here
please justify:
particularly relevant
Addressing cohesion through a localised articulation between supply and demand
(e.g. making research institutions more engaged with their own context and local users; reinforcing knowledge flows into and out of regions; etc.