up:: [[Learning and Knowledge Management]] tags:: #effort # DDes Research Thesis ## Key Informers Using a design research approach for your study on AI-Augmented Collaborative Foresight, it's crucial to identify key informants who can provide valuable insights both before and after the implementation of the solution. 1. Foresight Practitioners and Futurists: - Professional futurists working in consultancies or research institutions - Corporate foresight managers in large organizations - Scenario planning experts 2. AI and Machine Learning Specialists: - Researchers in AI, particularly those focused on multi-agent systems or natural language processing - Data scientists with experience in predictive modeling and trend analysis - AI ethicists addressing issues of bias and fairness in AI systems 3. Decision-Makers and Strategists: - C-level executives responsible for long-term strategic planning - Government officials involved in policy planning and future-oriented decision-making - Innovation managers in technology-driven companies 4. Domain Experts in Relevant Fields: - Climate scientists and sustainability experts - Economists specializing in long-term economic forecasting - Technologists focused on emerging technologies 5. Design Thinking and UX Professionals: - UX researchers experienced in designing interfaces for complex systems - Design thinking facilitators who can provide insights on collaborative processes - Information visualization experts 6. Academics and Researchers: - Professors in futures studies, strategic management, or related fields - Researchers focusing on decision science and cognitive biases - Experts in collaborative intelligence and group decision-making 7. End-Users of Foresight Tools: - Strategic planners in various industries who would potentially use such a system - Risk assessment professionals in financial institutions or insurance companies - Policy analysts in think tanks or government agencies 8. Ethicists and Social Scientists: - Philosophers specializing in technology ethics - Sociologists studying the impact of AI on decision-making processes - Anthropologists examining human-AI interaction By interviewing these diverse groups before implementation, you can gather comprehensive insights into current practices, challenges, and expectations. Post-implementation interviews with the same groups can provide valuable feedback on the effectiveness, usability, and impact of the AI-augmented collaborative foresight system.