Leibniz Center for Law

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The Leibniz Center for Law has its roots in the former department of Computer Science & Law of the Law Faculty of the University of Amsterdam, and currently houses about 15 researchers. The Leibniz Center conducts research and provides education in the field of Artificial Intelligence and law. In the tradition of Leibniz, the Leibniz Center for Law has its focus on the development and application of techniques from Artificial Intelligence to the field of law for the purpose of supporting legal practice, and bringing new insights to legal theory.

University of Amsterdam university in Amsterdam

The University of Amsterdam is a public university located in Amsterdam, Netherlands. The UvA is one of two large, publicly funded research universities in the city, the other being the VU University Amsterdam (VU). Established in 1632 by municipal authorities and later renamed for the city of Amsterdam, the University of Amsterdam is the third-oldest university in the Netherlands. It is one of the largest research universities in Europe with 31,186 students, 4,794 staff, 1,340 PhD students and an annual budget of €600 million. It is the largest university in the Netherlands by enrollment. The main campus is located in central Amsterdam, with a few faculties located in adjacent boroughs. The university is organised into seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Science, Law, Medicine, and Dentistry.

Law System of rules and guidelines, generally backed by governmental authority

Law is a system of rules that are created and enforced through social or governmental institutions to regulate behavior. It has been defined both as "the Science of Justice" and "the Art of Justice". Law is a system that regulates and ensures that individuals or a community adhere to the will of the state. State-enforced laws can be made by a collective legislature or by a single legislator, resulting in statutes, by the executive through decrees and regulations, or established by judges through precedent, normally in common law jurisdictions. Private individuals can create legally binding contracts, including arbitration agreements that may elect to accept alternative arbitration to the normal court process. The formation of laws themselves may be influenced by a constitution, written or tacit, and the rights encoded therein. The law shapes politics, economics, history and society in various ways and serves as a mediator of relations between people.

The Leibniz Center for Law has experience on legal ontologies, automatic legal reasoning and legal knowledge-based systems, (standard) languages for representing legal knowledge and information, user-friendly disclosure of legal data, and the application of ICT in education and legal practice (e.g. CASE). It plays an important role in the development of eGovernment on both national and international level. The center provides advice on change-management issues of knowledge-intensive legal processes and the improvement of knowledge-productivity in legal organisations.

The Leibniz Center for Law has participated in many national and international projects for applied research, in which companies, governments and universities cooperate (cf. ESTRELLA, [1] TRIAS, [2] FEED, CLIME, E-POWER, eCOURT, Legal Services Counter, openlaws.eu, [3] IMPACT [4] ). It is the initiator of the MetaLex initiative (http://www.metalex.eu), an XML interchange-format and standard for legal documents. Furthermore, it is frequently involved in innovative projects within governmental organisations, and conducts contract-research for private parties.

This area deals with research into- and the development of methods and techniques for knowledge management in the legal field. Coupled to this research, the provision of education in Legal Knowledge Management. The chair of Legal Knowledge Management is held by Prof. Dr. Tom van Engers

The field of research is multi-disciplinary: Law, computer science, informatics.

Computer science Study of the theoretical foundations of information and computation

Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of algorithms to manipulate, store, and communicate digital information. A computer scientist studies the theory of computation and the practice of designing software systems.

The research covers (amongst others):

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In computer science and information science, an ontology encompasses a representation, formal naming, and definition of the categories, properties, and relations between the concepts, data, and entities that substantiate one, many, or all domains.

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The Bachelor of Computer Science or Bachelor of Science in Computer Science is a type of bachelor's degree, usually awarded after three or four years of collegiate study in computer science, but possibly awarded in fewer years depending on factors such as an institution's course requirements and academic calendar. In some cases it can be awarded in five years. In general, computer science degree programs emphasize the mathematical and theoretical foundations of computing.

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Information and communication technology in agriculture, also known as e-agriculture, focuses on the enhancement of agricultural and rural development through improved information and communication processes. More specifically, e-agriculture involves the conceptualization, design, development, evaluation and application of innovative ways to use information and communication technologies (ICTs) in the rural domain, with a primary focus on agriculture. ICT includes devices, networks, mobiles, services and applications; these range from innovative Internet-era technologies and sensors to other pre-existing aids such as fixed telephones, televisions, radios and satellites. Provisions of standards, norms, methodologies, and tools as well as development of individual and institutional capacities, and policy support are all key components of e-agriculture.

Ontology learning is the automatic or semi-automatic creation of ontologies, including extracting the corresponding domain's terms and the relationships between the concepts that these terms represent from a corpus of natural language text, and encoding them with an ontology language for easy retrieval. As building ontologies manually is extremely labor-intensive and time-consuming, there is great motivation to automate the process.

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Artificial intelligence and law is a subfield of artificial intelligence (AI) mainly concerned with applications of AI to legal informatics problems and original research on those problems. It is also concerned to contribute in the other direction: to export tools and techniques developed in the context of legal problems to AI in general. For example, theories of legal decision making, especially models of argumentation, have contributed to knowledge representation and reasoning; models of social organization based on norms have contributed to multi-agent systems; reasoning with legal cases has contributed to case-based reasoning; and the need to store and retrieve large amounts of textual data has resulted in contributions to conceptual information retrieval and intelligent databases.

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UAB Institute of Law and Technology

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References

  1. ↑ "ESTRELLA Project" . Retrieved 2016-06-14.
  2. ↑ "TRIAS Telematica" . Retrieved 2016-06-14.
  3. ↑ "openlaws - better access to justice" . Retrieved 2016-06-14.
  4. ↑ "Policy IMPACT Project" . Retrieved 2016-06-14.
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