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mecasa-AI SIGNED

Inclusive innovation bringing the digitalizing world to the changing care needs and preferences of Europe’s ageing population

Total Cost €

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EC-Contrib. €

0

Partnership

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 mecasa-AI project word cloud

Explore the words cloud of the mecasa-AI project. It provides you a very rough idea of what is the project "mecasa-AI" about.

recruiting    matches    engine    care    psychological    enter    elderly    pair    character    logic    technological    place    plenty    65    ineffective    150    30    unprecedented    parliament    services    ageing    wish    million    leads    digitized    checks    mathematical    mecasa    document    fragmented    conventional    measured    video    innovation    matching    subsequently    relationships    interviews    conflict    caregiving    automated    traits    algorithms    unfortunately    2050    skills    infrastructure    ways    oldest    takes    translated    expensive    102    forecasted    eu    informal    advertising    paper    quality    actual    home    differences    created    solutions    nursing    platform    older    offline    ai    population    termination    online    lack    tremendous    homes    standardized    caregivers    models    relatively    stay    shortage    individual    caregiver    people    searching    outdated    steeped    too    proprietary    difficult    personality    prioritize    seniors    voice   

Project "mecasa-AI" data sheet

The following table provides information about the project.

Coordinator
MECASA GMBH 

Organization address
address: EICHWIESENRING 4B
city: STUTTGART
postcode: 70567
website: n.a.

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 Germany [DE]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MECASA GMBH DE (STUTTGART) coordinator 50˙000.00

Map

 Project objective

EU population today is the oldest it has ever been with 102 million people that are 65 years and older. This number is forecasted to rise to 150 million and account for 30% of the overall EU population by 2050. Since most European seniors wish to stay in their own home when growing old and since nursing homes are relatively more expensive, new care models that prioritize home-care are required. To address this the European Parliament and EU member states are searching for ways to provide high-quality care for the elderly, specifically through informal home-care and technological innovation.

Unfortunately, European seniors and caregivers are not getting the support they need. The EU’s unprecedented ageing has created significant and growing need for care. Already today, there is a tremendous skills shortage in caregiving throughout Europe. There are plenty of caregiver recruiting services, but they are ineffective as they are outdated and steeped in conventional paper-based infrastructure. Furthermore, state-of-the-art solutions pair seniors and caregivers without attention to differences in character traits, which too often leads to conflict and subsequently to early termination of caregiving relationships. On top of that, they are expensive, fragmented and difficult to access because they lack online services.

mecasa addresses these problems by recruiting personnel via its online platform. Advertising takes place both on- and offline, but actual recruiting is digitized through testing including voice analysis, automated document checks and video interviews. mecasa has developed proprietary matching algorithms, which define matches based on individual character and personality traits. Character traits are measured by standardized psychological testing, subsequently translated into a mathematical logic and eventually enter the mecasa platform. The proposed mecasa-AI project is about further development of the matching engine of the platform.

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The information about "MECASA-AI" are provided by the European Opendata Portal: CORDIS opendata.

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