Traineeship at the European Parliament (DG-ITEC)

[Enrico Francesconi]

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Traineeship offer at the European Parliament (DG-ITEC)

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PLACE OF EMPLOYMENT : Brussels
DOMAIN : IT
SUB DOMAIN : Information and Communication Technology (ICT)
STARTING DATE : 01/10/2024 (5 months)
DG : Directorate-General for Innovation and Technological Support
REF. : 10B2010-5887

https://ep-stages.gestmax.eu/5887/1/data-management-document-production-unit-data-mgt-doc-processing-service/en_US?backlink=search

WHO WE ARE
The Directorate-General for Innovation and Technological Support (DG ITEC) provides the European Parliament with information and communication technology services as well as printing and distribution services.

Inside DG ITEC, the Directorate for Publishing, Innovation and Data Management (EDIT) offers state-of-the-art publishing services to both Members and administration, fosters innovation and is responsible for data strategy and management in the European Parliament. The Directorate has four units, one of which is the Data Management and Document Production Unit.

The Data Management, Document Production Unit (DATADOC) consists of three teams dealing with data management, data processing, as well as multilingual document preparation and publication. The data team inside the DATAPRO service is behind the creation of a transversal Data Platform and setting up a corporate Data Governance framework, including defining data policies and roles. In addition to this, the team oversees the Parliamentary Portfolio Project "Parliament Open Data" and various initiatives related to improving data quality and data management. Most importantly, DATADOC is dedicated to creating a centre of excellence in data management and making Parliament’s data a valuable corporate asset.

 

YOUR TASKS
- As the selected trainee, you will be at the forefront of revolutionising how data is utilised within the European Parliament;
- You will be involved into various data projects and initiatives, aiming to establish the first data-centric practices inside the Parliament and make the data more findable, accessible, interoperable and reusable (FAIR data);
- Among other tasks, during the development of the European Parliament Data Platform, you will be researching data-related topics, benchmarking tools (especially semantic technologies), and enriching the editorial content of the European Parliament Open Data Portal;
- You will also be helping to achieve the gold standard in data management and set up the newly presented Parliament's data governance framework;
- In addition, you will be involved in the creation and curation of a comprehensive data catalogue, ensuring that valuable data assets are organised and available for informed decision-making;
- You will assist with preparing awareness-raising campaigns for internal stakeholders, as well as communicating with external collaborators and contractors. The daily work includes cooperation with diverse departments and external staff.
 

YOU ARE
Have you heard of the FAIR data principles? If yes, you are at the right place.

- We are seeking a dynamic individual with a passion for innovation in data management and governance;
- If you are someone who loves to explore various aspects of data, then you are exactly the person we are looking for! Whether is it data policies, communication materials or hands-on work with graph databases, ontologies and semantic technologies/tools (e.g. RDF, SPARQL, SHACL, etc.), your versatility will be your greatest asset in this role;
- Excellent communication skills, experience in personal data protection or data security will be considered an additional asset;
- As you will be collaborating with colleagues and stakeholders from different departments and with different backgrounds, proficiency in English is important.

[Pedro Freitas]

Dear colleagues,

The Thematic Track on Artificial Intelligence and Law (AIL) of EPIA 2024, to be held in Viana do Castelo, Portugal, between September 3rd-6th, 2024, is still open to new submissions!

Important Deadlines
Deadline for full paper submission (extended): 20th May, 2024
Notification of acceptance: 20th June, 2024
Camera-Ready papers: 15th July, 2024
Conference: 3-6 September 2024

Submissions
Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.
All papers should be submitted in PDF format through the EPIA’2024 submission Website (https://www.easychair.org/conferences/?conf=epia2024) selecting the track AIL - Artificial Intelligence and Law

Scope
Artificial intelligence and law is a field of study and research, which has been established since long and deals with all the possible applications of artificial intelligence to the world of law. Traditionally, this field has mainly concerned the forms of legal reasoning, the formation of legal knowledge, and the decision-making processes inherent to the legal domain.

However, recent developments in artificial intelligence have also affected this area of study and research. Increasingly, artificial intelligence is no longer defined with close reference to the notion of human intelligence, consciousness, and alike, but is considered as a growing resource of interactive, autonomous, and self-learning agency. As a smart form of agency, AI has even a greater potential to affect and reshape law, while raising legal, technical, and ethical issues, which affect human autonomy, self-determination, and responsibility.

Furthermore, since AI is gradually more fueled by data, these issues are predominantly rooted in data collection, retention and management. This raises key questions and challenges that require full examination and discussion, since they deeply affect the future trends of law.

The topics of interest include, but are not limited to:
 Formal and computational models of legal knowledge
 Models of legal reasoning
 Artificial intelligent systems in the legal domain
 Automation and decision-making process
 Machine learning and data mining
 Artificial intelligence and litigation
 Predictive coding
 Autonomous and self-learning agency
 Ethics of artificial intelligence

Thematic Track Organizers
Pedro Miguel Freitas, pfre...@ucp.pt, Universidade Católica Portuguesa
Massimo Durante, massimo...@unito.it, Department of Law – University of Turin
Ugo Pagallo, ugo.p...@unito.it, Dept. of Law, Univ. of Turin
Paulo Novais, pj...@di.uminho.pt, University of Minho

Best regards,

Pedro Freitas

[John Zeleznikow]

Thanks Pedro

I would have loved to be involved.  I will be back in Granada this year, but not until November.

Let's hope that we can catch up soon!

Love to your wife and daughter!

John

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Professor John Zeleznikow

Laboratory of Decision Support and Dispute Management,
School of Management and Information Systems, Victoria University
Room G.03, Land Titles Office, 283 Queen St., Melbourne, Victoria, AUSTRALIA

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Phone: 61.3.95053323

E-mail: john.ze...@vu.edu.au: john.ze...@gmail.com