Summary
Hecat aims to investigate, demonstrate and pilot a disruptive technology to support labour market decision making by
unemployed citizens and those seeking to help them. At one stage or another, almost half of all EU citizens will rely on a
Public Employment Services (PES), and so this is a key touchpoint of a contemporary state and has impacts on citizen’s
thinking about social cohesion, care and existential wellbeing. The ambition of the project is to improve citizen’s experience
and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour
market. Hecat builds on the experience and learning of existing basic algorithmic techniques used by some European PES
administrations to: - deliver labour market insight directly to unemployed citizen and so is built on European values of open
data, collaboration, transparency and citizen-participation - broaden out the focus on quantity of jobs drawn from the
‘economic imagination’ to add a focus on job quality and sustainable employment - go beyond profiling the ‘stock’
unemployed people, to incorporate measures of labour demand, and so take a labour market approach - go beyond the
profiling of ‘problem categories’ of citizens that current survey-data based systems use, to exploit emerging big-data
processing and analytics to treat each individual as a unique complex subject in a real-time and near limitless database that
leverages the insight trapped inside statistical agencies - frame the development in deep contextual insight into the origin
and transformation of the experience of unemployment and its administration based on anthropological inquiry - bring this
insight into the hands of decision makers with a a platform-UX that exploits novel artificial intelligence with learning
capabilities and cutting edge, accessible visualisation and gamification techniques to support knowledge discovery and
decision making at the critical moment, as a decision support system
unemployed citizens and those seeking to help them. At one stage or another, almost half of all EU citizens will rely on a
Public Employment Services (PES), and so this is a key touchpoint of a contemporary state and has impacts on citizen’s
thinking about social cohesion, care and existential wellbeing. The ambition of the project is to improve citizen’s experience
and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour
market. Hecat builds on the experience and learning of existing basic algorithmic techniques used by some European PES
administrations to: - deliver labour market insight directly to unemployed citizen and so is built on European values of open
data, collaboration, transparency and citizen-participation - broaden out the focus on quantity of jobs drawn from the
‘economic imagination’ to add a focus on job quality and sustainable employment - go beyond profiling the ‘stock’
unemployed people, to incorporate measures of labour demand, and so take a labour market approach - go beyond the
profiling of ‘problem categories’ of citizens that current survey-data based systems use, to exploit emerging big-data
processing and analytics to treat each individual as a unique complex subject in a real-time and near limitless database that
leverages the insight trapped inside statistical agencies - frame the development in deep contextual insight into the origin
and transformation of the experience of unemployment and its administration based on anthropological inquiry - bring this
insight into the hands of decision makers with a a platform-UX that exploits novel artificial intelligence with learning
capabilities and cutting edge, accessible visualisation and gamification techniques to support knowledge discovery and
decision making at the critical moment, as a decision support system
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/870702 |
| Start date: | 01-02-2020 |
| End date: | 31-07-2023 |
| Total budget - Public funding: | 3 493 956,00 Euro - 3 493 956,00 Euro |
Cordis data
Original description
Hecat aims to investigate, demonstrate and pilot a disruptive technology to support labour market decision making byunemployed citizens and those seeking to help them. At one stage or another, almost half of all EU citizens will rely on a
Public Employment Services (PES), and so this is a key touchpoint of a contemporary state and has impacts on citizen’s
thinking about social cohesion, care and existential wellbeing. The ambition of the project is to improve citizen’s experience
and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour
market. Hecat builds on the experience and learning of existing basic algorithmic techniques used by some European PES
administrations to: - deliver labour market insight directly to unemployed citizen and so is built on European values of open
data, collaboration, transparency and citizen-participation - broaden out the focus on quantity of jobs drawn from the
‘economic imagination’ to add a focus on job quality and sustainable employment - go beyond profiling the ‘stock’
unemployed people, to incorporate measures of labour demand, and so take a labour market approach - go beyond the
profiling of ‘problem categories’ of citizens that current survey-data based systems use, to exploit emerging big-data
processing and analytics to treat each individual as a unique complex subject in a real-time and near limitless database that
leverages the insight trapped inside statistical agencies - frame the development in deep contextual insight into the origin
and transformation of the experience of unemployment and its administration based on anthropological inquiry - bring this
insight into the hands of decision makers with a a platform-UX that exploits novel artificial intelligence with learning
capabilities and cutting edge, accessible visualisation and gamification techniques to support knowledge discovery and
decision making at the critical moment, as a decision support system
Status
SIGNEDCall topic
DT-TRANSFORMATIONS-02-2018-2019-2020Update Date
27-10-2022
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H2020-EU.3.6. SOCIETAL CHALLENGES - Europe In A Changing World - Inclusive, Innovative And Reflective Societies
H2020-EU.3.6.2.2. Explore new forms of innovation, with special emphasis on social innovation and creativity and understanding how all forms of innovation are developed, succeed or fail
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Organisations
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| South East Technological (SETU) (Coördinator)
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| SOUTH EAST TECHNOLOGICAL UNIVERSITY (Coördinator)
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| COPENHAGEN BUSINESS SCHOOL (CBS)
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| FONDATION NATIONALE DES SCIENCES POLITIQUES
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| FUNDACION TECNALIA RESEARCH & INNOVATION
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| INSTITUT JOZEF STEFAN
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| Platform Networking for Jobs
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| ROSKILDE UNIVERSITET
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| University of Ljubljana, Faculty of Mechanical engineering
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| ZAVOD REPUBLIKE SLOVENIJE ZA ZAPOSLOVANJE