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Researchers using AI tools for literature review, data analysis and academic writing
Artificial Intelligence · Course #018

AI for Researchers

AI for Researchers is a practical course for using Artificial Intelligence across the research lifecycle while protecting accuracy, integrity and confidentiality. Participants learn to refine research questions, develop search strategies, organise literature, extract information, support data analysis and improve academic communication. The course emphasises source verification, reproducibility, transparent disclosure, authorship, intellectual property and the prevention of fabricated citations. AI is presented as a research assistant, not a replacement for methodological expertise or scholarly judgement.

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Overview

AI for Researchers is a practical course for using Artificial Intelligence across the research lifecycle while protecting accuracy, integrity and confidentiality. Participants learn to refine research questions, develop search strategies, organise literature, extract information, support data analysis and improve academic communication. The course emphasises source verification, reproducibility, transparent disclosure, authorship, intellectual property and the prevention of fabricated citations. AI is presented as a research assistant, not a replacement for methodological expertise or scholarly judgement.

Course Highlights

Research-question development

Literature discovery and organisation

Evidence extraction and synthesis

AI-supported data analysis

Academic writing and visualisation

Integrity, verification and disclosure

Modules & Curriculum

AI Across the Research Lifecycle

Research Questions and Search-Strategy Development

Literature Discovery, Screening and Organisation

Evidence Extraction and Critical Synthesis

AI-Supported Data Analysis and Coding

Academic Writing, Tables and Visualisation

Verification, Reproducibility and Source Management

Authorship, Disclosure, Privacy and Research Integrity

Learning Outcomes

  • Identify appropriate and inappropriate uses of AI across the research lifecycle.
  • Refine research questions and develop structured search strategies.
  • Use AI to organise literature and support evidence extraction.
  • Evaluate summaries and extracted information against original sources.
  • Apply AI tools to appropriate qualitative or quantitative research tasks.
  • Improve academic writing, tables, visualisations and presentations.
  • Detect fabricated references, unsupported claims and analytical errors.
  • Document AI use to support transparency and reproducibility.
  • Protect confidential data, intellectual property and research integrity.

Ready to Build Your Future-Ready Skills?

Use AI to strengthen your research workflow while protecting accuracy, integrity and original scholarship.

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