NOVA Data-Driven Law
The NOVA Knowledge Centre for Data-Driven Law supports the use of data in legal research within the NOVA School of Law.
The DDL Centre contributes to the United Nations Sustainable Development Goal #16, devoted to Peace, Justice and Strong Institutions (SDG 16). One of the targets of SDG 16 is the development of effective, accountable and transparent institutions at all levels.
The DDL Centre is also animated by NOVA School of Law’s vocation to develop legal science in Portugal, in particular by stimulating data-driven legal research.
The DDL Centre promotes SDG 16 by engaging legal scholars in data-driven multidisciplinary research teams that draw on, among others, economics and data analytics capabilities as tools to:
- A better and more accurate diagnosis of law reform needs;
- Redesign and adjust existing legal instruments;
- Measure the impact of public policy decisions.
More broadly, the DDL Centre supports, produces and stimulates the search of data-driven responses to the most pressing societal challenges of the 21st Century.
To this end, the DDL Centre:
- Organizes seminars, conferences and offers dedicated training aimed at spreading data-driven research in the NOVA School of Law research community;
- Establishes collaboration outside the NOVA School of Law, inside but also outside NOVA University, Lisbon;
- Seeks public and private funding to support, produce and stimulate data-driven legal research.
The DDL Centre also looks into the growing body of knowledge on the provision of data-driven human or machine-learning expert assistance to legal adjudication/ judicial decision-making.
White Paper on multiple and intersectional discrimination
In the context of the NOVA Knowledge Centre for Data-Driven Law activity, it is being developed the «Multiversity Project – White Paper on multiple and intersectional discrimination», which aims to build a science-based recommendation, based on multidisciplinary knowledge, to level and harmonize anti-discrimination protections in Portugal, considering sequential, additive, and intersectional multiple discrimination.
The focus will be on discrimination based on sex, racial/ethnic origin, sexual orientation and gender identity and disability and taking into account the specific socio-economic consequences of each type of discrimination.