Royal Society of Chemistry Workshop: Visualising Data for Scientific Discovery

Scientists, engineers, and analysts seeking to enhance their exploratory data analysis skills can now register for a two-part interactive workshop hosted by the Royal Society of Chemistry. This program focuses on modern data visualisation techniques and their application to rigorous, insight-driven scientific work. As scientific datasets grow in complexity, the ability to effectively interpret and communicate findings becomes increasingly crucial.

Workshop Overview

This workshop provides structured, practical training in visual analytics, equipping participants with the tools to uncover patterns, evaluate relationships, and support defensible conclusions. Through guided, hands-on exercises and live expert discussion, attendees will develop practical techniques for efficient and effective data exploration. Participants can immediately apply the skills learned to their own scientific or engineering data.

Who Should Attend?

• Scientists working with experimental or analytical data
• Engineers optimising processes
• Analysts seeking faster, deeper insights
• Anyone looking to strengthen their exploratory data analysis skills

No advanced statistical background is required to participate.

Workshop Modules

Day 1: Foundations of Visual Analytics

The first session will explore the foundational principles of working with visual analytics. Using real-world case studies, participants will discover how scientists and engineers can benefit from these techniques. Key topics include:

• Understanding why dynamic visualisation improves scientific and engineering decision-making
• Techniques for more efficient data preparation and exploration
• Guidance on creating consistent, meaningful visual summaries using JMP’s Graph Builder
• Expert advice on building a strong foundation for fast, reliable exploratory analysis

Day 2: Exploring High-Dimensional Data

The second session delves into advanced techniques for exploring high-dimensional data. Participants will learn how to integrate their own data with the tools and discover problem-solving methods to accelerate their visualisations. This session will cover:

• Extending skills from exploration to data-driven insight and modelling
• Identifying key drivers of process outcomes using screening and modelling tools
• Guidance on using the Profiler to interpret effects and evaluate key optimisation scenarios
• Discovering advanced visualisations for communicating results effectively

Certificate of Completion

Participants who complete both workshop modules will receive a certificate from the Royal Society of Chemistry. To be eligible, attendees must either attend the sessions live or watch them on-demand before the closing date of June 28, 2026. Certificates will be automatically issued to those who attend live within one week of the broadcast. Those viewing on-demand must complete both parts before the deadline to receive their certificate within one calendar week of completion.

Meet the Experts

Owen Jonathan

Owen Jonathan is a Senior Associate Systems Engineer at JMP. He focuses on identifying critical business issues faced by customers in the UK and Ireland and guiding them in adopting data-driven solutions. He holds a master’s degree in systems and synthetic biology from Imperial College London.

Ben Barroso-Ingham

Ben Barroso-Ingham is a Systems Engineer at JMP. He previously worked as a fermentation/upstream scientist at Elanco Animal Health and Allergan Biologics, focusing on developing small-scale microbial fermentation models and applying design of experiments. He earned a Ph.D. In chemical engineering from the University of Manchester.

Registration

Interested individuals are encouraged to register now to secure their place in this valuable workshop.