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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. €

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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.

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  interviews    paper    online    tremendous    unfortunately    termination    relatively    population    created    outdated    caregiving    takes    innovation    video    2050    ai    relationships    nursing    measured    steeped    stay    older    oldest    mecasa    traits  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

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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