Dashcams: Wenn die ZPO erlaubt, was das Datenschutzrecht verbietet

Mit Dashcams den Verkehr aufzuzeichnen, kann nach einem Unfall in einem zivilrechtlichen Haftpflichtprozess sehr nützlich sein - obwohl man das datenschutzrechtlich eigentlich nicht darf. Der BGH hat in dieser Woche zwei rechtliche Problemlagen geklärt, die deutsche Gerichte seit geraumer Zeit beschäftigt haben: Zum einen betrifft dies die datenschutzrechtliche Zulässigkeit des Einsatzes von Dashcams im öffentlichen Verkehrsraum. Zum anderen deren zivilprozessuale Verwertbarkeit, insbesondere wenn die Aufnahmen rechtswidrig erfolgten

SmartRegio – Employing Spatial Data to Provide Decision Support for SMEs and City Administrations

When decisions have to be made which are based on the characteristics and expected developments in specific spatial environments (such as finding the best place for a new production site or for a new shop), geo data and the information that can be derived from it plays a crucial role. While larger companies typically can afford the setup of the required organisational units as well as the access to relevant data from commercial providers, smaller organisations such as SMEs or city administrations are at a disadvantage. The aim of the SmartRegio project was to develop solutions for such organisations that combine freely available (mass) spatial data from many different sources as a decision-making basis focusing on governmental and private actors operating with a focus on a specific region. The data sources include data from infrastructures like energy and mobility, data from public entities, and also data from social media and media channels. The SmartRegio project successfully identified and tackled major technical and legal challenges when aiming to exploit such data, while at the same time realising a generic infrastructure that supports the required processes within the given context

Mining Legal Arguments in Court Decisions

Identifying, classifying, and analyzing arguments in legal discourse has been a prominent area of research since the inception of the argument mining field. However, there has been a major discrepancy between the way natural language processing (NLP) researchers model and annotate arguments in court decisions and the way legal experts understand and analyze legal argumentation. While computational approaches typically simplify arguments into generic premises and claims, arguments in legal research usually exhibit a rich typology that is important for gaining insights into the particular case and applications of law in general. We address this problem and make several substantial contributions to move the field forward. First, we design a new annotation scheme for legal arguments in proceedings of the European Court of Human Rights (ECHR) that is deeply rooted in the theory and practice of legal argumentation research. Second, we compile and annotate a large corpus of 373 court decisions (2.3M tokens and 15k annotated argument spans). Finally, we train an argument mining model that outperforms state-of-the-art models in the legal NLP domain and provide a thorough expert-based evaluation. All datasets and source codes are available under open lincenses at https://github.com/trusthlt/mining-legal-arguments.Comment: to appear in Artificial Intelligence and La

Kardiovaskuläre Variabilitätsanalysen zur Risikostratifizierung nach Herzoperationen

Methoden zur Charakterisierung der kardiovaskulären Regulation wurden angewendet, um den Heilungsverlauf und das Risiko bei herzchirurgischen Patienten zu untersuchen. Dabei wurde der Zeitverlauf während der ersten 24 Stunden nach der Herzoperation, der präoperative autonome Status des Patienten und die Beeinflussung verschiedener Operationstechniken auf das postoperative kardiovaskuläre Regulationsverhalten untersucht. Die Ergebnisse deuten darauf hin, daß diese Bereiche in zukünftige Verfahren zur Risikostratifizierung bei herzchirurgischen Patienten einbezogen werden sollten

Effective Notification Campaigns on the Web: A Matter of Trust, Framing, and Support

Misconfigurations and outdated software are a major cause of compromised websites and data leaks. Past research has proposed and evaluated sending automated security notifications to the operators of misconfigured websites, but encountered issues with reachability, mistrust, and a perceived lack of importance. In this paper, we seek to understand the determinants of effective notifications. We identify a data protection misconfiguration that affects 12.7 % of the 1.3 million websites we scanned and opens them up to legal liability. Using a subset of 4754 websites, we conduct a multivariate randomized controlled notification experiment, evaluating contact medium, sender, and framing of the message. We also include a link to a public web-based self-service tool that is run by us in disguise and conduct an anonymous survey of the notified website owners (N=477) to understand their perspective. We find that framing a misconfiguration as a problem of legal compliance can increase remediation rates, especially when the notification is sent as a letter from a legal research group, achieving remediation rates of 76.3 % compared to 33.9 % for emails sent by computer science researchers warning about a privacy issue. Across all groups, 56.6 % of notified owners remediated the issue, compared to 9.2 % in the control group. In conclusion, we present factors that lead website owners to trust a notification, show what framing of the notification brings them into action, and how they can be supported in remediating the issue