Hučková, R., Treščáková, D. Zásady spracovania osobných údajov podľa GDPR so zreteľom na oblasť poskytovania zdravotnej starostlivosti [elektronický zdroj]. In: Studia Iuridica Cassoviensia. - ISSN 1339-3995. - Roč. 8, č. 2 (2020), s. 30-44, online.

Hučková, R., Sokol, P., Rózenfeldová, L. 4th industrial revolution and challenges for european law (with special attention to the concept of digital single market) [elektronický zdroj] / Práca je sledovaná v databáze WoS. In: EU and comparative law issues and challenges series : Eu law in context – adjustment to membership and challenges of the enlargement : International Scientific Conference. - Osijek: Sveučilište Josipa Jurja Strossmayera u Osijeku, 2018. - ISBN 9789538109256. - S. 201-215, online. - Spôsob prístupu: https://hrcak.srce.hr/ojs/index.php/eclic/issue/view/313/Vol2.

Sokol, P. a kol. Lessons learned from phishing test - Práca je sledovaná v databáze Scopus. In: IDIMT-2017 : Digitalization in Management, Society and Economy : 25th Interdisciplinary Information Management Talks : 6.-8.9.2017, Poděbrady, Česká republika. - Linz : Trauner verlag, 2017. - ISBN 9783990621196. - S. 297-304.

Hučková, R., Bonk F., Rózenfeldová, L. Zdieľané hospodárstvo – otvorené problémy a diskusia (najmä s prihliadnutím na obchodnoprávne a daňovoprávne súvislosti) [elektronický zdroj] In: Studia Iuridica Cassoviensia. - ISSN 1339-3995. - Roč. 6, č. 2 (2018), s. 125-140, online.

Rózenfeldová L., Hučková, R. Zdieľané hospodárstvo v oblasti dopravy (vybrané otázky) [elektronický zdroj] In: Studia Iuridica Cassoviensia. - ISSN 1339-3995. - Roč. 7, č. 1 (2019), s. 108-119, online.

Website:

The SOCCER project is dedicated to fortifying the cybersecurity capabilities and resilience of the EU, with a paramount focus on ensuring a cyber-secure academia sector. Specifically tailored for CEE countries, the initiative aims to support the establishment and advancement of Security Operations Centres (SOCs) within Universities and Research and Technology Organisations (RTOs). The CEE region is now being heavily affected by a multitude of cyber operations conducted in parallel to growing geopolitical tensions. At the same time, 2023 is on track to be a record-breaking year for ransomware attacks against education institutions, and almost 70% organizations in the educational sector suffered a cyber attack within the last 12 months. The SOCCER project contributes to long-term policy objectives identified by the European Commission and European Union authorities in regards to EU-wide cybersecurity capacity building. It addresses the specific challenge of increasing number and sophistication of cyber-attacks and cyber-operations targeting the academic sector as well as the security challenge of the CEE region being at the frontline of the hybrid threats resulted from the Russian aggression on Ukraine. The project envisages the EU-wide SOC’s ecosystem in the making and willing to integrate the academic sector with priorities and tasks which will be undertaken and implemented by ECCC and the Network of National Coordination Centres. The cybersecurity in the academia sector is vital for protecting intellectual property, maintaining research integrity, preserving privacy, upholding institutional reputation, facilitating collaboration, ensuring regulatory compliance, safeguarding critical infrastructure, contributing to workforce development, and addressing national security considerations. The idea of establishing a network of SOCs across the EU was introduced by The EU’s Cybersecurity Strategy for the Digital Decade in order to support the improvement of existing centres and the establishment of new ones. The goal is to “support public-private and cross-border cooperation to create national and sectoral networks, involving also SMEs, based on appropriate governance, data sharing and security provisions”. The goal is to let network of SOCs become “a real cybersecurity shield for the EU” which will connect „as many centres as possible across the EU to create collective knowledge and share best practices”. 

EDIH CASSOVIUM - EDCASS (november 2022 - october 2025)

Web: https://aiboost-project.eu/

The EDCASS project is part of the network of European Digital Innovation Hubs (EDIH). EDIH CASSOVIUM, through the services it offers, helps its clients to source funding for their digital innovations, creates a supportive incubation environment for the acceleration of high-tech start-ups and supports the building of a digital innovation ecosystem in the region, with the involvement of local, regional, national and European players in the field of digital transformation.

Web: https://aiboost-project.eu/

AI-BOOST, a new project funded by the European Commission’s Horizon Europe, is a prominent open challenge prize programme that will serve as a benchmark for the European artificial intelligence (AI) community. 

The overall objective of the project is to create and run highly replicable AI open innovation competitions that attract the outstanding talent all over EU and Associated Countries, to drive scientific progress in the major AI Areas. The project will foster collaboration between the key stakeholders in AI community to define attractive AI challenges with the potential to lead trustworthy and human-centric real-world solutions. 

ALTAML - Analysis of legal texts based on machine learning (january 2024 - may 2025)

Website: https://altaml.upjs.sk/

The main objective of the project is the efficient processing and analysis of legal texts in order to ensure legal certainty and improve access of professionals and the general public to legal texts, the results of their analysis and the relevant legal information extracted from them. The relevance of this objective for the purpose of this call is demonstrated by the creation and implementation of new methods of legal text analysis (data analytics and machine learning) that enable the required transition to the digital economy also in the field of law, both in relation to the application of law by the state (legislators, policymakers, courts or other competent authorities) and in relation to the provision of legal services by professionals to their beneficiaries.

APVV-21-0336 - Analysis of Judicial Decisions using Artificial Intelligence, 07/2022 - 06/2026, co-worker

The main goal of the project is to create the prerequisites for a more significant use of machine learning methods in the decision-making activities of courts. Given the main goal of the project, the research team sets the following partial goals of the project: 1) Identification and extraction of attributes and relationships of court decisions and creation of a pilot search tool for searching for relevant decisions. The partial goals of the first goal are: a) creation of methods for extracting explicit attributes, b) creation of methods for extracting implicit attributes, c) representation and storage of extracted attributes and relationships of court decisions, d) creation of a pilot search tool also using extracted attributes. 2) Analysis of attributes extracted from court decisions