UM Data Science Research Seminar
The UM Data Science Research Seminar Series consists of monthly sessions organised by the Institute of Data Science, on behalf of the UM Data Science Community, in collaboration with departments across UM. The Research Seminar Series aims to bring together data scientists from UM to discuss breakthroughs and research topics related to Data Science.
This session is organised in collaboration with Law & Tech Lab.
Schedule
Presentation 1
Time: 12:00 - 12:30
Title: Legal annotations and knowledge graphs: detection of potentially fraudulent transactions in cross-border company mobility.
Speakers: Rūta Liepiņa and Pedro Hernández Serrano
Abstract: Accurate and up-to-date information on company mergers, divisions and moves is essential in protecting the rights of the employees and in detection of potentially fraudulent transactions. The Cross-border Corporate Mobility (CbCM) project has been a data collection exercise for tracking company mobility in Europe over the last 20 years.
This presentation discusses the opportunities and challenges of using ontologies and knowledge graphs in annotating and analysing complex legal transactions. Information extraction from transaction notices requires extensive legal training and is a cost and labour-intensive process. Our current research explores the use andadaption of existing open-source annotation tools (Hypothes.is) and design of new annotation guidelines on the CbCM topics, as well as the use of domain ontology. We propose a pipelinemthat integrates the annotations and creation of a knowledge graph. This extension of the project is at its early stages, so all feedback is very welcome.
Presentation 2
Time: 12:30 - 13:00
Title: Contractual behavior in zero-price transactions.
Speaker: Monika Leszczyńska
Abstract: Many online services and products are offered free of charge but in exchange for personal data. The lack of monetary payment in these transactions raises questions about their legal and economic status as well as contractual behavior.
In my research, I study zero-price transactions from two perspectives. First, I look into contractual terms to find out under what conditions zero-price digital products are offered to consumers and whether these conditions differ from traditional paid transactions. To this end, I collect data about various categories of digitalproducts and apply quantitative content analysis. Second, using online behavioral experiments, I study individual decisions about the use of zero-price digital products and sharing of personal data.