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The lecture explores the intersection of Generative Artificial Intelligence (AI) and Open Science, addressing opportunities and ethical challenges when integrating AI into research workflows.
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The lecture explores the transformative potential of Blockchain in Education, specifically focusing on the implementation of Verifiable Credentials (VCs) within the EBSI (European Blockchain Services Infrastructure) framework.
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It is imperative that Higher Education institutions incorporate the role of AI, specifically generative AI (genAI) into their teaching and research.
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The explosion of Generative AI in late 2022 has profoundly impacted society, industry, and education, demonstrating that human-made systems can master language eloquently, a feature that was thought to be unique to humans.
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The rapid advancement of generative AI systems—capable of producing valid and valuable solutions for assignments in project-based classes that sometimes are better than the solid work of students—poses significant challenges for education.
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The lecture explores the evolution of Open Publishing, its connection to Open Science and Open Access, and the role of frameworks such as DigComp and UNESCO’s Open Science Recommendation, focusing on their role in shaping accessible, transparent, and collaborative research practices. It also examines the implications for researchers, institutions, and students in adopting open and responsible approaches to knowledge creation and sharing.
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In an age where artificial intelligence is reshaping how knowledge is produced, trusted, and used, teaching and learning specialists are being called to reassess their pedagogical foundations.
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