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Opendata, web and dolomites

mecasa-AI SIGNED

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

Total Cost €

EC-Contrib. €

Partnership

Views

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.

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oldest people engine technological recruiting population eu mecasa care offline elderly million measured searching outdated unfortunately forecasted takes plenty differences created place infrastructure matches wish homes solutions proprietary fragmented innovation conflict 2050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

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 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.	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.