In today's fast-paced academic landscape, the ability to communicate research visually is an invaluable skill. This workshop is designed to introduce early career researchers from the humanities and natural sciences to cutting-edge AI tools that simplify and enhance the process of creating visuals for presentations, publications, and public engagement.
The course begins with an introduction to the principles of effective visual communication, emphasizing clarity, accessibility, and audience engagement. Participants will explore a range of AI-powered platforms and tools for generating graphs, infographics, and illustrative content. They will learn how to combine their data with AI technologies to create visuals that resonate with their target audience.
Throughout the day, participants will engage in hands-on activities, working with their own work or case studies provided by the facilitators. By the end of the workshop, attendees will leave with a portfolio of visuals they can use in their professional work and the knowledge to continue applying AI tools in their research communication.
The objective of this workshop is to empower early career researchers from all fields to effectively leverage AI tools for creating compelling visuals that enhance their research communication. They will gain the skills to design professional and engaging visuals that make their work accessible and impactful for both academic and public audiences.
Content
Live Demonstrations: Real-time showcases of AI tools for visual creation, guiding participants through their features and functionalities.Hands-On Exercises: Participants will practice creating visuals with guided support from facilitators, using their own research data or examples provided.Expert Insights: Tips and best practices from experienced researchers who integrate AI into their workflows.Q&A and Reflection: Dedicated time to address questions, discuss challenges, and reflect on applications in individual research contexts.
Date and duration
Thursday, April 23, 2026, 9:00 am - 4:00 pm
Audience
PhD Students and Postdocs
