Evaluation Criteria
1. Relevance and Alignment: How well the proposal aligns with the goals of the hybrid intelligence challenge. This includes the relevance of the topic and its potential to contribute to the field.
2. Innovativeness: The novelty of the research approach and its contribution to advancing knowledge in hybrid intelligence. This looks at whether the proposal introduces new methods, theories, or technologies.
3. Interdisciplinary Approach: The effectiveness and coherence of integrating different disciplinary perspectives and methodologies within the research team.
4. Methodological Rigor: The clarity and appropriateness of the proposed methodology, including data collection, analysis techniques, and the feasibility of the research design.
5. Team Competence: The expertise and experience of the research team in relation to the proposed project. This includes the ability to successfully execute the proposed research.
6. Impact Potential: The expected outcomes and their significance in terms of scientific, technological, educational, or societal impact.
7. Sustainability and Ethics: Consideration of long-term impacts, sustainability, and ethical issues related to the research from the initial idea to its execution and potential implementation.