Legal Data Mining, Machine Learning and Visualization
Legal Data Mining Conference gathered professionals and academics from the technology, Artificial Intelligence and Law fields to discuss the future of Law. The two-day workshop focused on both the fundamental and practical issues of legal data mining. The event was organized by David Restrepo Amariles (Assistant Professor of Law at HEC Paris) and Ken Satoh (Professor at the National Institute of Informatics of Japan) in March 2019 at the Barreau de Paris.
cascad: A new certifying organization to help double-check scientific results
While scientific findings need to be assessed by peers and journal referees, the confidentiality of original data often makes the process arduous. An accredited organization launched by Christophe Pérignon (HEC Paris) and colleagues with access to the original research data can now ensure reproducibility of results. This not only promises huge gains in time and effort for researchers but will also shore up trust in scientific results.
Power to the people: Citizens should soon have more voice to sway policy
HEC Paris professor Alberto Alemanno says civic movements like ‘Nuit Debout’ are good for democracy but, in order to have their voice truly heard, need a professional leg-up in the form of citizen lobbying. An organization he is involved in and a book he is writing aim to pair up experts with NGOs to help them act as a counterweight to big business lobbying.
Tax havens: a characterization essay
“No more tax havens!” was the declaration made in September 2009 by Nicolas Sarkozy, at the time President of the French Republic. Specialists on the issue were largely skeptical, because the concrete measures proposed were somewhat weak. More than five years on and the issue has changed considerably, with a notable acceleration over the past few months in a two-pronged movement towards concerted initiatives by industrialized countries (G20, OECD, the European Commission etc.) on one hand and startling revelations by whistleblowers on the other.