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Disruptive Technologies Supporting Labour Market Decision Making

Project description

DEENESFRITPL

A new digital platform gets to work

Increasing employment opportunities for jobseekers and improving the matching between job vacancies and workers are primary goals of EU labour market policies. At national level, one of the top policy goals is to allocate the right jobs to the right people. The EU-funded HECAT project is developing new technology to support labour market decision-making. A new user experience platform will build on existing basic algorithmic techniques used by some European public employment systems administrations to deliver labour market insights directly to unemployed citizens, and so is built on European values of open data, collaboration, transparency and citizen participation. By focusing on job quality and sustainable employment, the project will bring insight to policymakers.

Objective

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

Fields of science

Programme(s)

Topic(s)

Call for proposal

H2020-SC6-TRANSFORMATIONS-2018-2019-2020

See other projects for this call

Sub call

H2020-SC6-TRANSFORMATIONS-2019

Funding Scheme

RIA - Research and Innovation action

Coordinator

SOUTH EAST TECHNOLOGICAL UNIVERSITY
Net EU contribution
€ 977 601,25
Address
Cork road campus waterford
X91 K0EK Waterford
Ireland

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Region
Ireland Southern South-East
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00

Participants (8)

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EC signature date 13 November 2019
Last update: 20 October 2022

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Permalink: https://cordis.europa.eu/project/id/870702

European Union, 2023