HECAT Project

Disruptive Technologies Supporting Labour Market Decision Making

HECAT project uses sociological and anthropological insights on unemployment and expertise in national statistical and learning algorithms to develop new ways to visualise the labour market.

Project objective

Disruptive Technologies Supporting Labour Market Decision Making

The HECAT aims to investigate, demonstrate and pilot a tool to support labour market decision making by unemployed citizens and case workers in Public Employment Services (PES). The ambition of the project is to improve citizens´ experience and outcomes of unemployment by offering real-time evidence-based insight into their personal position in the labour market.

The project builds on the experience of existing basic algorithmic techniques used by some European PES administrations to deliver labour market insight directly to unemployed citizens and so is built on European values of open data, collaboration, transparency and citizen-participation.

Goals

Define and develop a deep sociological-led understanding of the experience of unemployment and PES from a citizen perspective.
Define and create a dynamic network model for accessing and analysing big data sets, including the labour market and unemployment data.
Work out a model to deploy and validate the back-end algorithm and dynamic network modelling for the HECAT platform.
Create, deploy and test the gamification visualization driven user interface with input from PES and citizen stakeholders in a living lab simulation and pilot integration.
Promote the sustainability of HECAT through detailed public service user-led assessments of pilot integration.