Periodic Reporting for period 1 - LeADS (Legality Attentive Data Scientists)
Okres sprawozdawczy: 2021-01-01 do 2022-12-31
LEAD moves by constating that data scientists are one of the key players of the data economy for their ability to both unlock the insights of data and tell a remarkable story about and from them. Nevertheless, there is a need to bridge their skills with the ability to fully understand the legal, ethical, and economic implications and constraints of developing technologies both to extract knowledge from data and to protect data. Jurists are other key players, often neglected, in the data economy for their ability to grasp fully the legal and ethical implications of constraints, guidelines and laws developed to protect society, individuals, democracy, and fundamental rights. Moreover, their skills need to be linked with the ability to develop applications based on data in such a way that regulations do not unreasonably prevent the deployment of technologies while technologies remain in ethical and legal compliance.
Upon these premises LEADs’ aims to bring together researchers possessing these two skill-sets, or better, to train this new interdisciplinary professional figure that we call Legality Attentive Data Scientist or LeADS. These objective has been pursued and already partially (we are only halfway through the project) via the research and training activities performed.
LeADS goals go beyond the training of a first batch of Legality Attentive Data Scientists and want to build a template for this kind of training along with effective research demonstrating the actual usefulness of this new mindset and set of innovative skills.
Upon these premises LEADs’ aims to bring together researchers possessing these two skill-sets, or better, to train this new interdisciplinary professional figure that we call Legality Attentive Data Scientist or LeADS. These objective has been pursued and already partially (we are only halfway through the project) via the research and training activities performed.
LeADS goals go beyond the training of a first batch of Legality Attentive Data Scientists and want to build a template for this kind of training along with effective research demonstrating the actual usefulness of this new mindset and set of innovative skills.
The goal of educating and fostering the career of 15 excellent ESRs, as experts in data science and law able to work within and across the two disciplines is progressing into its cross-disciplinary, innovative training: The blending of ground-breaking applied research and pragmatic problem-solving from the involved industries, regulators, and policy makers has been the methodological footprint of the general training and it has taken an increasingly pragmatic problem-solving approach for and in the first TILLs
Five general training modules, highly interdisciplinary and intensive, aiming at building the planned cultural and linguistic bridges have been performed successfully bringing actively together both beneficiaries and partners in the teaching and mentoring activities. Concentrating relatively long periods of training (2 to 3 weeks each time) revealed itself as a rewarding challenge enabling also a smoother team building and horizontal learning approach in which ESRs also helped each other to understand the different perspectives from a technical and cultural point of view.
The “First Mapping and Conceptual Glossary”, LeADS deliverable D3.3 offers a semantic foundation of the key notions that are particularly relevant for both the data science and the legal sector. The purpose of this exercise was that of bridging the meanings of the terms which are most commonly used in the two considered fields in order to establish a common ground of understanding of notions that are relevant for regulatory reforms and for technological development. At an even deeper level, the identification of the differences as well as the complementarity between the notions employed in data science and law is a fundamental precondition for an effective legal enforcement of the regulations variously applied to new technologies. Within this specific understanding in LEADs, this deliverable takes stocks, expands and contributes to the work performed for the production of the “Encyclopaedia of Law and Data Science” edited by the coordinator and to which a large number of researchers involved in LeADS research and training have participated.
Five general training modules, highly interdisciplinary and intensive, aiming at building the planned cultural and linguistic bridges have been performed successfully bringing actively together both beneficiaries and partners in the teaching and mentoring activities. Concentrating relatively long periods of training (2 to 3 weeks each time) revealed itself as a rewarding challenge enabling also a smoother team building and horizontal learning approach in which ESRs also helped each other to understand the different perspectives from a technical and cultural point of view.
The “First Mapping and Conceptual Glossary”, LeADS deliverable D3.3 offers a semantic foundation of the key notions that are particularly relevant for both the data science and the legal sector. The purpose of this exercise was that of bridging the meanings of the terms which are most commonly used in the two considered fields in order to establish a common ground of understanding of notions that are relevant for regulatory reforms and for technological development. At an even deeper level, the identification of the differences as well as the complementarity between the notions employed in data science and law is a fundamental precondition for an effective legal enforcement of the regulations variously applied to new technologies. Within this specific understanding in LEADs, this deliverable takes stocks, expands and contributes to the work performed for the production of the “Encyclopaedia of Law and Data Science” edited by the coordinator and to which a large number of researchers involved in LeADS research and training have participated.
Already a new methodological approach, leveraging interdisciplinary research and teaching and moving it beyond the traditional approaches has been developed and is available as a template for training and research.
The critical mapping mentioned of concepts across different disciplines is already a legacy of LeADS potentially offering a template for Interdisciplinary training programs at the level of Master and PhD but also for a wider audience tackling also the continuous education needs of the digital society.
The critical mapping mentioned of concepts across different disciplines is already a legacy of LeADS potentially offering a template for Interdisciplinary training programs at the level of Master and PhD but also for a wider audience tackling also the continuous education needs of the digital society.