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DataScientia envisions education as a transformative force that empowers individuals to critically engage with AI. We aim to cultivate ethical, human-centered AI development by offering modular learning paths designed for a wide range of learners from those just becoming aware of AI’s impact to those innovating new AI-driven disciplines.
By integrating research, innovation, and education into a continuous cycle, we strive to support a global community in understanding and controlling AI for the benefit of society.
DataScientia offers a modular educational path that accompanies the person in the different phases of learning about AI. First, DataScientia offers a set of introductory courses aimed at discovering with a critical approach the systems based on AI and their relationship with people in daily life, with a strong focus on the fundamental components of AI, namely the data and their use.
Second, it offers vertical courses for in-depth study of the fundamental components of AI, namely language, knowledge, media, and data on people and their context of reference. Finally, it aims to support intuition by providing knowledge and tools for creating human-centered applications.
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DataScientia Education helps educators and universities reuse existing resources and transform them into learning experiences with local meaning.
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Localize content to your language, culture, examples, curriculum, students, and institutional context.
Use the materials in courses, seminars, workshops, laboratories, blended learning, or university programmes.
Contribute local adaptations, examples, feedback, translations, teaching experiences, and new materials.
Reusable slides, lectures, examples, activities, and video-based learning resources.
Tools, documentation, and practical support for blended and data-based learning.
A growing catalogue of DataScientia courses, editions, metadata, and learning paths.
A network where educators and students share ideas, adaptations, feedback, and good practices.
DataScientia Education supports both learners who want to understand AI and educators who want to teach, adapt, and share AI education locally.
Students can follow modular learning paths to understand AI, data, personal context, privacy, and the role of technology in everyday life.
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Educators can use DataScientia materials as a starting point, adapt them to their local language and context, teach them in their institutions, and contribute improvements back to the shared ecosystem.
This section is subject to change. The courses linked here are examples only; final course metadata and official links will be added as soon as they are ready.
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