
Hands-On Learning
Apply generative AI to real research tasks with guided prompts, use cases, and interactive activities.

Research-Focused Instruction
Learn from in-depth, interdisciplinary examples rooted in academic and applied research practice.

Flexible, Self-Paced Study
Work through structured lessons at your own pace, with tools to support your current research projects.
About the Course
AI for Research Visualisation & Insight Communication is designed to help researchers use generative AI to present, explain, and share their work more effectively. Whether you’re creating infographics, drafting summaries, or planning public engagement, this course offers practical tools and ethical guidance to support real-world research communication. Through five focused modules, you’ll learn how to translate complex content into accessible formats, tailor outputs for different audiences, and critically assess AI-generated visuals. Join us and gain the skills to elevate the clarity, reach, and impact of your research.

Meet Your Instructor
I'm Jonathan Wong, a Lead AI Scientist and researcher specialising in medical diagnostics, data science, and advanced research technologies. My work focuses on applying generative AI and machine learning to improve healthcare outcomes and support complex research workflows. In this course, I share practical tools, ethical strategies, and real-world insights developed through applied experience in research and development. Whether you're just beginning or looking to deepen your skills, you'll find structured guidance to help you use AI effectively, creatively, and responsibly in your research practice.
Curriculum
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1
Introduction
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10.1 AI for Summarising Key Findings into Simple Language
- 10.1.1 Using AI to Transform Complex Research Findings into Clear, Accessible Language Free preview
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10.1.2 Ensuring that AI-Generated Summaries Accurately Represent Research Insights
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10.1.3 How Generative AI Makes Technical Findings Accessible to Diverse Research Stakeholders
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10.1.4 Best Practices for Tailoring Summaries for Different Audiences (Academic, Public)
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10.1.5 Using AI to Highlight the Most Significant Results of a Study for Broader Impact
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10.1.6 Key Takeaways
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10.1.7 Knowledge Check
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10.1.A Practical Use Cases
- 10.1.B Learning Activities Free preview
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10.1.C Prompt Templates
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10.1.D Innovative Use Cases
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10.1.E Reflection & Discussion
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10.1.F Productivity Tips
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10.2 AI for Data Visualisation & Infographic Generation
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10.2.1 Leveraging Generative AI for Data Visualisation and Infographic Design in Research Dissemination
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10.2.2 Automating the Creation of Charts, Graphs, and Other Visuals with AI Assistance
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10.2.3 Using Generative AI to Create Interactive Visual Content for Research Presentations
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10.2.4 Enhancing Research Impact Through AI-Generated, Easy-to-Understand Visuals
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10.2.5 Best Practices for Presenting Complex Data in AI-Powered Visual Formats
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10.2.6 Key Takeaways
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10.2.7 Knowledge Check
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10.2.A Practical Use Cases
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10.2.B Learning Activities
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10.2.C Prompt Templates
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10.2.D Innovative Use Cases
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10.2.E Reflection & Discussion
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10.2.F Productivity Tips
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10.3 How AI Can Enhance Research Impact and Dissemination
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10.3.1 Strategies for Using AI Tools to Maximise the Impact and Reach of Research Findings
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10.3.2 AI Tools for Disseminating Research More Widely Through Digital Channels
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10.3.3 How to Leverage Generative AI Assistants to Enhance Research Visibility in Academic and Public Spheres
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10.3.4 AI’s Role in Promoting Public Engagement and Policy Impact
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10.3.5 How AI Tools Improve the Speed and Efficiency of Research Dissemination
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10.3.6 Key Takeaways
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10.3.7 Knowledge Check
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10.3.A Practical Use Cases
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10.3.B Learning Activities
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10.3.C Prompt Templates
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10.3.D Innovative Use Cases
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10.3.E Reflection & Discussion
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10.3.F Productivity Tips
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10.4 AI for Public Engagement and Science Communication
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10.4.1 Using AI for Generating Public-Facing Content (Press Releases, Blogs, Policy Briefs)
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10.4.2 How AI-Driven Communication Tools Help Engage the Public with Complex Scientific Issues
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10.4.3 Using AI for Social Media Communication of Research Findings
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10.4.4 Enhancing Science Communication Through AI-Generated Summaries and Outreach
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10.4.5 Best Practices for Improving Public Understanding of Science Using AI
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10.4.6 Key Takeaways
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10.4.7 Knowledge Check
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10.4.A Practical Use Cases
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10.4.B Learning Activities
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10.4.C Prompt Templates
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10.4.D Innovative Use Cases
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10.4.E Reflection & Discussion
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10.4.F Productivity Tips
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10.5 Best Practices for Presenting AI-Generated Visual Content
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10.5.1 Guidelines for Effectively Presenting AI-Generated Visuals in Academic Presentations
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10.5.2 Ensuring Clarity and Accessibility in AI-Generated Infographics and Data Visualisations
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10.5.3 How to Integrate AI Visuals with Narrative in Presentations and Reports
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10.5.4 Managing Audience Perception of AI-Generated Content in Academic and Public Settings
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10.5.5 Ethical Considerations in Presenting AI-Generated Visual Data Responsibly
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10.5.6 Key Takeaways
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10.5.7 Knowledge Check
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10.5.A Practical Use Cases
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10.5.B Learning Activities
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10.5.C Prompt Templates
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10.5.D Innovative Use Cases
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10.5.E Reflection & Discussion
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10.5.F Productivity Tips
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Final Lesson Message
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Course Complete: Share Your Feedback
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8
Feedback
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End of Course Survey
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Unlock Your Research Potential
Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.
£97.00