SoBigData++ and LeADS joint Awareness Panel

SoBigData++ and LeADS joint Awareness Panel.

Legal Materials as Big Data: (algo)Rithms to Support Legal Interpretation. A Dialogue with Data Scientists.

This panel is organized, in the framework of the Predictive Justice Project, coordinated by Giovanni Comandé, and aims to intensify the dialogue among scientists and jurists: Professors and Researchers of the Sant’Anna School of Advanced Studies but also international speakers will discuss the topic of the legal material as ‘’big data’’ to be explored.

The event that will be held in english is an initiative of the research activities of the LeADS and SoBigData++ Projects promoted by the LIDER Lab of the Dirpolis Insititute and aims to explain how data scientists analyze the case-law materials and promote its potentialities also in terms of research methodologies in Legal Sciences.

6th of July 2021, 2:00 – 4:00 PM CEST

Piattaforma Webex


14.00 – 14.15 Greetings

Prof. Francesca Chiaromonte, EMbeDS Department, – Prof. Gaetana Morgante, Dirpolis Institute, SSSA

14.15 – 16.00 Roundtable

Legal reasoning and semantic annotation, Vern R. Walker – Professor Emeritus of Law, Hofstra University

From citizens, to judicial decisions, to government policy-makers, Prof. Sehl Mellouli, Laval University

Legal Knowledge Modelling and Predictive AI., Prof. Monica Palmirani, UNIBO

Beyond the keyword search in legal documents, Prof. Paolo Ferragina, UNIPI

Text mining techniques and case law, Prof. Maria Francesca Romano and Prof. Gaetana Morgante, SSSA

A big picture for a predictive justice platform, Dr. Daniele Licari, SSSA

High risk databases and the new regulation on AI, Dr. Denise Amram, SSSA

Moderator Prof. Giovanni Comandè, SSSA

Join us on Webex

password: panel (normally not requested)


Call Open – SSSA Pisa – Italy – ESRs 1-3-5-14

Application for ESRs 1-3-5-14

host by Sant’Anna School of Advanced Studies – Pisa – Italy



DEADLINE: September 6th2021


We are looking for 4 Early Stage Researchers (ESR)/PhD Researchers. They will be working under the framework of LeADS project. Their main task will be to collaborate to the Research and Training program LeADS and to eventually prepare their doctoral thesis in the same framework. The PhD thesis work will be undertaken at Sant’Anna School of Advanced Studies (Pisa, Italy) in the national PhD program on Artificial Intelligence administered by the University of Pisa.
As doctoral students, the ESRs will be jointly-supervised under the direction of the LeADS consortium and will spend also secondment(s) at Consortium members.


  • ESR 1 Project Title: Reciprocal interplay between competition law and privacy in the digital revolution
    Objectives: Data are more and more important resources in the so-called Digital Revolution: the impact on competition law is increasingly relevant and so are the implications of data protection law on competition law. The researcher will address these implications, analysing some relevant topics: the impact of data portability and the requirements in terms of interoperability in the new GDPR compared to the barriers to entry and to market dominance; how customer data can be “assessed” as an index of market dominance for the big information providers (Google, Apple, Facebook, Amazon); and how SMEs can benefit from data protection law and competition law in order to increase their volume in the market
  • ESR 3 Project Title: Unchaining data portability potentials in a lawful digital economy
    Objectives: Empirically test the potentials of the right to data portability. The research in the framework of LeADS will relate data portability not only to data protection law, but also to competition law and unfair business practices (e.g., offer or price discrimination between groups of consumers through profiling operations), setting the scene for their regulatory interplay in line with current and forthcoming technologies. In doing so specific attention will be offered to the possible technical solutions to guarantee effective portability. Additionally, the technical, statistical, and privacy implications of the new right will be evaluated, such as the need for standard formats for personal data, and the exception in Article 20.2 of the GDPR, according to which the personal data, upon request by the data subject, should be transmitted from one controller to another “where technically feasible”.
  • ESR 5 Project Title: Differential privacy and differential explainability in the data sphere: the use case of predictive jurisprudence
    Objectives: Human life and economy are exponentially data driven. The switch from residential to cloud based data storage is making increasingly difficult to reap the maximum from data while minimizing the chances of identifying individuals in datasets. Researcher will explore the interplay between differential privacy technologies and the data protection regulatory framework in search of effective mixes.
  • ESR 14 Project Title: Neuromarketing and mental integrity between market and human rights
    Objectives: ESR’s research question is whether and how neuromarketing can affect human rights of individuals, considering in particular recent interpretations of rights contained in the European Convention of Human Rights and in the EU Charter of Fundamental Rights, in particular “mental privacy”, “cognitive freedom”, and “psychological continuity”. Indeed, advanced data analytics provide a very high level of understanding of users’ behaviour, sometimes even beyond the conscious self-understanding of the users themselves exploiting all user’s idiosyncrasies, including user’s vulnerabilities harming the exercise of free decision making


All ESRs recruited will be expected to carry out the following roles:

  • To manage and carry out their research project within 36 months
  • To write a PhD dissertation within the theme and objectives proposed above
  • To participate in research and training activities within the LeADS network
  • To participate in meetings of the LeADS projects
  • To disseminate their research to the non-scientific community, by outreach and public engagement
  • To liaise with the other research staff and students working in broad areas of relevance to the research project and partner institutions
  • To write progress reports and prepare results and articles for publication and dissemination via journals, presentations, videos and the web
  • To attend progress and management meetings as required and network with the other research groups


  • Master of Science (MSc) degree or equivalent
  • Fluent written and spoken English
  • Excellent communication and writing skills.
  • In order to fulfill the eligibility criteria of the Marie Curie ITN at the date of recruitment, applicants must not have resided or carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately prior to their recruitment. Compulsory national service and/or short stays such as holidays are not considered. Italian candidates can apply if they have resided in another country for more than 2 years of the last 3 years.
  • At the time of recruitment, the candidate cannot have already obtained a doctoral degree and must be in the first 4 years (full-time equivalent) of his research career


  • Fixed Term Contract 36 Month
  • Work Hours: Full Time
  • Location: Pisa
  • Employee and Phd student status
  • Travel opportunities for training and learning
  • yearly gross salary: Living allowance of € 40.966,56, Mobility allowance up to € 7.200, Family allowance € 3.000

APPLICATION PROCEDURE: Please apply ONLINE and include:

  • A detailed Curriculum Vitae et studiorum (in English)
  • a motivation letter (Max 1,000 words in English)
  • a copy of your official academic degree(s)
  • proof of English proficiency (self-assessment)
  • the names and contacts of two referees
  • scan of a valid identification document (e.g., passport)
  • a non-binding research plan of a maximum of 3500 words which must include (in English): 1. the title of the research; 2. the scientific premises and relevant bibliography; 3. the aim and expected results of the research project; The non-binding research plan need to be aligned to one of the research descriptions for the LEADS project.