Artificial intelligence in research and innovation

Bag code: SCSAI123315026 Days: 3 days "Training session: two and a half hours" Time: 15 training hours Targeted participants: academic researchers - graduate students - faculty members Program overview: This program revolves around artificial intelligence in research and innovation (definition – types – characteristics - objectives - positives - negatives.. etc.) It will be presented through the following unit: First training unit: (Conceptual foundation of artificial intelligence in research and innovation) Second training unit: (Artificial intelligence tools and techniques in scientific research) Program objectives: It is expected that by the end of the training program, the participant will: Discuss the concept of artificial intelligence and its role in scientific research and innovation. Explain the types of artificial intelligence algorithms used in research fields. Identify AI tools supporting research data analysis. Use AI techniques in data collection and organization. Simulate research models based on AI to solve problems. Interpret AI-supported research results. Program topics: First training unit: (Conceptual foundation of artificial intelligence in research and innovation) First session: Strategic introduction to artificial intelligence and its role in scientific research History of artificial intelligence Stages of AI development Who was the first to discover artificial intelligence? AI-driven innovation Concept of innovation in the digital age Relationship between artificial intelligence and human creativity AI as a tool for generating research ideas AI-based innovation models Second session: Turning knowledge into value Second training unit: (AI tools and techniques in scientific research) First session: AI tools for data and research analysis Big data processing in scientific research Predictive analysis using AI Discovering hidden patterns and relationships Reducing human bias in data analysis Accuracy and credibility of results Second session: AI and research data analysis Big data processing in scientific research Predictive analysis using AI Discovering hidden patterns and relationships Reducing human bias in data analysis Results accuracy and credibility AI tools for researchers AI in literature review Tools supporting paper writing Reference management using AI Third training unit: (AI in research design and problem-solving) First session: Supporting scientific research design Formulating research problems using AI Generating research hypotheses with AI Choosing the appropriate research methodology supported by AI Designing data collection tools Testing hypotheses and analyzing results Solving complex research problems AI-supported analytical thinking Simulating research scenarios Improving research result quality Reducing time and research costs Applied case studies Second session: The future of research and innovation in the era of AI Future shifts in scientific research The smart researcher and their future role Virtual laboratories AI-supported collaborative research AI and scientific discoveries Redefining scientific production Integrating AI into research plans Contents of the PowerPoint package: 153 Trainer's guide: 100 Participant's guide: 100 Activities: 8 Introductory guide: 6 Evaluation and data forms: 2 Pre-test: 1 Videos: 3 Package contents: 10 Training package model: Please click here to view the training package model