AI for Scientific Research

Learn how to use AI responsibly across the scientific research lifecycle, from planning and data analysis to communication and impact.

4 hours

No pre-requisites

Introductory

Course information

This introductory course explores how artificial intelligence can support scientific research in responsible and practical ways.

Across three modules, it examines how AI can be used to plan research, support literature reviews and evidence synthesis, shape research questions and study design, and assist with methods, ethics, data collection and analysis.

The course also looks at how AI can help share scientific findings with different audiences, including public and policy stakeholders.

By the end, you will understand the benefits, limitations and risks of AI in research, recognise where AI tools can be applied across the research lifecycle, and build a clearer foundation for using AI to generate knowledge and impact.

Learning objectives

  • Identify the benefits, limitations, and risks of AI in scientific research  
  • Understand the key principles governing responsible AI use in scientific research
  • Recognise the ways in which AI can be implemented across the lifecycle of scientific research
  • Comprehend the AI tools and techniques that can be used to conduct scientific research
  • Understand how AI can support the sharing of scientific knowledge