Le Grand Syllabus 2016/2017
Méthode pédagogique : PowerPoint accessible pour les étudiants + quelques articles du professeur. Descriptif du cours : Le cours a pour objectif de montrer aux étudiants la manière dont les économistes abordent les questions associées à la propriété intellectuelle au niveau des entreprises avec la construction d'un droit de propriété intellectuelle optimale et des stratégies de licences associées. Lectures principales demandées : Gold E. R., Herder M. et Trommetter M. (2008), The Role of Biotechnology Intellectual Property Rights in the Bioeconomy of 2030, OECD International Futures Project on “The Bioeconomy to 2030 : Designing a Policy Agenda”, OCDE, Paris ; Trommetter M. (2008), Intellectual Property Rights in Agricultural and Agro-food Biotechnologies to 2030, OECD International Futures Project on “The Bioeconomy to 2030 : Designing a Policy Agenda”, OCDE, Paris..
- Get students acquainted with the operation of SMART law devices in speciﬁc legal ﬁelds ; - Equip students with the tools to use and contest SMART law devices from a theoretical and practical perspective ; - Engage students in the process of thinking and designing SMART law devices in their future legal practice. Course Description : The idea of a law that is Scientiﬁc, Mathematical, Algorithmic, Risk and Technology (SMART) driven is becoming a reality that needs the attention of students interested in law and public and private governance. Indicators, algorithms and big data are reshaping the regulatory landscape, allegedly, for the sake of better regulation. Uses range from measuring risk and performance, proﬁling offenders, monitoring suspicious behaviours, auditing organizations and algorithms, fostering e-government, and enforcing automatically rules, compliance programs, policies and contracts. This course aims at providing students with a comprehensive overview of the rise of SMART law devices in the context of global governance with a particular focus on their processes of production, strategic uses, effects and contestations. The introductory part of the course will give a historical and theoretical introduction to the idea of SMART law, its connection with statistics, management and informatics, its main practical advantages and ﬂaws, and its link with jurisprudence and global law. The course will then introduce legal metrics, algorithms, block chain technology and big data in different legal ﬁelds and invite students to engage with them through individual case studies. The SMART law devices covered will relate to the ﬁelds of corporate social responsibility, ﬁnancial and banking law, business law, investment law, tax law, human rights and labor law. Finally, the course will explore current and possible contestations to SMART law devices at both the theoretical and the practical level. It will rely on a doctrinal study of law and contributions from critical literature in sociology, philosophy, statistics, management, informatics and legal theory scholarship. At the end of the course, students are expected (1) to understand how SMART law devices operate in legal practice, (2) to design reliable methodologies for building new SMART law devices, and
SMART LAW : INDICATORS, ALGORITHMS AND BIG DATA
Semester : Spring Number of hours : 24 Language of tuition : English
Teachers : Gregory LEWKOWICZ (Associate Professor at Université Libre de Bruxelles), David RESTREPO AMARILES (HEC Paris). Pedagogical format : Seminar Course validation : The ﬁnal exam will consist of a research paper on a case study of a SMART law device which will be subject to approval by the instructor. The intermediary evaluation will consist of a short presentation on the progress of the research paper. Workload : Objectives : The overall objective of the course is to address the gap between, on the one hand, legal scholarship approaches and, on the other hand, technical literature in informatics, statistics and economics about SMART Law. Speciﬁc objectives : - Raise awareness of the role of SMA