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H2020 SU-DRS01-2019 Spanish university seeks a data science company and an entity working with refugees for Horizon 2020 proposal in the areas of Border and External Security (BES) of the WP Secure Societies




A Department of Law of a Spanish university leads a consortium which seeks to improve the current data collection and processing mechanisms at the EU border controls with the objective of establishing a tool that will allow centralizing all information collected when migrants enter the EU territory and use it jointly by all Member States.
An IT tool designer is sought for the management of migration movements and an entity working with refugees for SU-DRS01-2019 from WP Secure Societies.



One of the priorities of the EU today is to find ways to better enhance border and migration management and internal security. A great part of the information collected at the EU borders remains in national databases or, in the best-case scenario, it is introduced in one of the existing EU information systems (e.g. Eurodac, VIS…). The data collected is only used for identification purposes, and ultimately determines whether a migrant is in a regular or irregular situation, according to the EU laws.

If migrants are regular, they are given a residence permit in the country of entry, or in the case of asylum seekers, they may be relocated in another Member State, as long as they request so and it is legally possible. Yet, no further check of the actual integration possibilities in that host country is conducted. Similarly, if migrants are identified as irregular, they are automatically returned to the countries where they come from, with no further supervision of their fate or labour opportunities in those countries of origin.

Regarding regular migrants, it has been found that successful integration into their host society is essential to maximise the opportunities afforded by legal migration. In order to achieve that, many factors have to be taken into account. For instance, the professional background and language skills of migrants are important for their integration, and so are the age, ethnic background, and the labour conditions of the host country.

As for irregular migrants, many international organisations and NGOs have been working on projects that seek to enhance the integration and labour opportunities for returned migrants into their countries of origin. This is possible by studying the profile of those migrants and identifying the right locations where returned migrants could be able to integrate and find a job. In order to do that, many criteria should be taken into account: age, ethnic and professional background of the individual, labour conditions, demography, existing aid projects in the territory, etc.


The project seeks to improve the current data collection and processing mechanisms at the EU border controls, by a tool that will allow centralizing all information collected when migrants enter the EU territory and use it jointly by all Member States. It mainly seeks to facilitate the integration of regular migrants in the host countries among the 28 and offering better conditions for returned migrants in their countries of origin.

The goal is to develop a data-driven algorithm to optimize the process by which regular /irregular migrants are assigned to locations within or outside the EU. Such an algorithm will mine other multiple historical cases and will detect systematic patterns. Therefore, when individual characteristics of the new migrant will be introduced, it will check in what territory previous migrants with a similar profile have successfully integrated and it will also give a description of the labour opportunities, integration policies, public sentiment in the area, demography of the territory, and all other relevant information.
In order to decrease the number of irregular migrants in the EU, this IT system will also collect data of the situation in the major countries of origin where migrants come from, with the aim of understanding the reasons why those migrants decide to leave their countries. It will also identify projects and initiatives in those countries in which the EU could participate, and that would improve life and labour opportunities there.

It should be an IT platform developer and actors working with asylum seekers.

The proposal will be submitted to Horizon 2020 WP Secure Societies under the topic SU-DRS01-2019: "Human factors, and social, societal, and organisation aspects for disaster-resilient societies".

Call Deadline: 22/08/2019
EOI Deadline: 30/04/2019
Estimated duration of the project: 52 weeks

Partner expertise sought:

- Type of partner sought: There are 2 types of entities sought:

1) Technical experts in:

• Data science: Collect data from different indicators to feed the algorithm
• Model construction which includes problem selection, data source selection, model construction, model refinement, simulation execution and analysis.
• Machine learning (creation of algorithms)
• Designing and testing the tool

2) First responders, municipalities, social workers, educators, civil society actors closely working with asylum seekers or refugees.

Desirable from the following countries:
Italy, Greece, Malta, Bulgaria, France, Denmark, The Netherlands
- Specific area of activity of the partner: There are 2 types of entities sought:

1) A data scientist expert who will be in charge of modelling and creating a tool with the following functionalities:

- Prediction migration flows coming from countries of origin to the EU: It will establish a modelling platform that can be used to assess the effect of newly emerging conflicts and high-level policy decisions on the patterns of immigration. The machine learning algorithm will require constant attention and vigilance to ensure that the predictions they provide are as accurate and as unbiased as possible and that any irregularities are addressed as soon as they arise.
- Map of tensions, job opportunities and policies in the EU Member States: By matching information obtained in the selected Members States about attitudes towards migrants, job market suitable for refugees and national policies and data, a map will identify the hubs of conflict among migrants and EU citizens, and offer solutions to improve the integration of refugees and asylum seekers in the host Member State.

2) First responders, actors working closely with refugees:

- End-users of a tool that predict migration and identify tension/violence areas.
- Entities involved in case studies with asylum seekers/refugees.
- Actors equipped with qualitative, quantitative methods of data collection.

Development Stage:

Proposal under development

Programme - Call:

Acronym: AMMProSI


Deadline: 22/08/2019

Coordinator required: No

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