Skills and Practices for AI-Driven Research Knowledge
▶Summary
The project aims to: - Equip early-career researchers with the knowledge and skills to effectively leverage AI tools and technologies in their research workflows. - Foster AI literacy and ethical ...
▶Objectives
The project aims to: - Equip early-career researchers with the knowledge and skills to effectively leverage AI tools and technologies in their research workflows. - Foster AI literacy and ethical AI practices among young researchers and educators - Develop a suite of AI-powered research assistant tool tailored to the needs of young researchers across various disciplines - Provide comprehensive training and mentorship programs to help young researchers develop competencies in leveraging AI
▶Activities
Key activities: - Creating a specific training programme and an AI-powered repository and a set of tools tailored to the needs of academic researchers and educators. - Engaging participants in a collaborative process to co-design and test AI tools, ensuring their relevance and usability. - Organizing workshops and training sessions to equip participants with the skills needed to use and integrate AI tools in their academic
▶Impact
The SPARK-AI project will deliver several concrete outputs designed to enhance the integration of AI into research and education across European universities. These outputs include: - SPARK Training Programme and related OERs - AI-Powered Research Assistant Repository - Domain-Specific AI Models and Resources - Intelligent Matching and Recommendation Algorith