Calls for papers

International Journal of Spatio-Temporal Data Science
Special Issue on: "Learning from Legal Data in Emerging Legal Informatics Era"
Guest Editors:
Dr. Samia Chehbi Gamoura, Strasbourg University, France
Dr. Deva Prasad M, Indian Institute of Management, Kozhikode, India
Dr. Reeta Sony A.L., Jawaharlal Nehru University, New Delhi, India
Today, legal informatics (LI) is rapidly emerging as a new research area at the juncture of computer science (CS), information technology (IT) and law. More recently, it has drawn the attention of the computational and legal communities with the intent and goal to improve and advance the existing jurisprudence/legal procedure/legal justice system/civil justice system by applying modern computational technologies such as artificial intelligence (AI), Machine learning (ML), deep learning (DL), natural language processing (NLP). More and more legal scholars, practitioners and the computer, data scientists and engineers are teaming up to converge their expertise and knowledge to transform the existing jurisprudence into the smart and intelligent justice system, which is faster, fair, and economically feasible even to the last person of the marginalised population. This special issue invites the original unpublished scholarly work related to LI.
Subject CoverageSuitable topics include, but are not limited, to the following:
- Legal data
- Legal information retrieval
- Learning deep from legal data
- Legal data visualisation and analyses
- Algorithms and applications in LI
- Legal software and legal tech
- AI, ML and DL in jurisprudence
- NLP and text processing in jurisprudence
- Ontology and knowledge representation of legal data
- Blockchain technology in jurisprudence
- Smart legal contracts
- Automated dispute resolution systems
- Legal expert systems
- Legal predictive systems
- Robo-lawyer
- Robo-judges
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Important Dates
Manuscripts due by: 1 September, 2021
Notification to authors: 15 November, 2021
Final versions due by: 15 January, 2022