This project addresses a critical issue in today’s data-driven world: how can scientists make complex data understandable to the general public? We live in an era where understanding and interpreting data is increasingly important. Data visualization, the art of representing data in visual formats like charts and graphs, plays a pivotal role in this. It can significantly aid in demystifying scientific information. Data storytelling techniques can weave data into compelling narratives that clarify and contextualize scientific findings. The research focuses on developing innovative, user-friendly methods for scientists to communicate their findings.

Despite existing guidelines on data communication, many in the scientific community still struggle to convey their complex results to those without a scientific background. The aim is to bridge this gap, making scientific data not only more accessible but also engaging for everyone. We plan to integrate co-design in our approach, a collaborative method that involves both scientists and diverse public groups in the creation process. This strategy ensures that our solutions resonate with a wider audience. Ultimately, our goal is to transform science communication, making it more inclusive and impactful for all.