Use of Artificial Intelligence in the Work of Research Staff (AIPVP)

AI - Artificial Intelligence, AI for Professions

Two-day intensive course introducing participants to advanced AI tools that are reshaping scientific research. You'll learn how these tools can transform your research practice, boost research productivity and improve the overall quality of your work.

Through hands-on sessions you will practice literature search, data analysis and scientific writing, plus learn ethical practices for responsible AI use in research workflows and project planning.

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The course:

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  • Introduction to AI in the research environment
    1. Overview of AI and its potential in science
    2. Ethical principles and safety when using AI in research
    3. Implementing AI within a research setting
  • AI tools for literature reviews and publication mapping
    1. Working with Research Rabbit to map publications and spot key topics
    2. Using Semantic Scholar for efficient discovery
    3. Introducing Elicit as a new research approach
    4. Practical exercises with these tools
  • AI assistants for analyzing scientific texts and finding relevant data
    1. Using Scholarcy to summarize papers
    2. Working with SciSpace for deeper analysis and writing support
    3. Using Consensus for quick, evidence-backed answers
    4. Demonstrations and hands-on exercises
  • Advanced chatbots and AI assistants for research work
    1. Using ChatGPT for generation and editing of texts
    2. Leveraging Claude for advanced text and data analysis
    3. ScholarGPT as a specialist academic chatbot
    4. Comparing chatbots and their specific research uses
  • Data analysis with AI support
    1. Using Claude for advanced dataset analysis
    2. Working with Microsoft Copilot for data tasks in Office
    3. Demonstration of advanced AI analytical features
  • Integrated solutions for scientific work
    1. Comprehensive use of SciSpace for writing and analysis
    2. Connecting multiple tools to create effective workflows
    3. Practical examples of tool integration into research processes
  • Strategic use of AI in research organisations
    1. Guidelines and recommendations for ethical AI aligned with scientific standards
    2. Discussion on integrating AI into research processes and its impact
  • Practical workshop
    1. Hands-on exercises with selected tools
    2. Developing recommendations for effective AI-assisted research work
    3. Q&A, discussion and peer experience sharing
Assumed knowledge:
Basic computer skills and experience in academic research.
Schedule:
2 days (9:00 AM - 5:00 PM )
Language: