Deliverables and Publications

This deliverable reviews those algorithms which existed prior to our project’s start, and is a discussion and critique of those algorithms from a variety of perspectives. In doing this, we also indicate how our own approach will differ from the existing state of the art.

Any project which deals with human subjects, and large quantities of data has to grapple with questions around data use and ethics. In this deliverable we explain how we will ensure that all data are stored in accordance with relevant guidelines (such as GDPR) and the steps we will take to ensure all data are used ethically.

The broad goal of HECAT is to work with the unemployed rather than on them, which has often been the case for many algorithms. In this deliverable, our French partners in Sciences Po explore and explain how this will be achieved by attending to the uniqueness of the experience(s) of unemployment.

It is crucial for projects to have a strong web presence if they are to disseminate their findings widely. Find our original logos and website here.

EU projects are typically led by steering groups who take key decisions and direct the project in new directions. Find our terms of reference for our steering group here.

Our algorithm will be piloted in Slovenia, and so it was essential to develop an understanding of the Slovenian labour market, which we detail here.

As our project will sift through and assimilate a vast quantity of data, it was necessary to undertake a review of the available sources of data and how data protection can best be achieved.

There are many challenges in understanding what a good quality job might mean. This deliverable discusses these challenges in details, and outlines how our tool can incorporate job quality as a measure.

Predicting how long someone will remain unemployed is a key goal of modern welfare. This article explores how deep artificial neural networking can be used to make these predictions.