Training Data Visualisation for Science

How can we visualise science in clear, powerful and engaging ways to meet the needs of our audiences? How can we foster an inclusive design process to ensure authentic participation? How can we deconstruct complexity and transform data into effective tools for decision making? How can we unlock the power of data visualisation on a systemic level in scientific organisations to expand their work's impact and reach?

The course is a hands-on experience aimed at scientists and researchers, but also designers working in a setting that requires science to be presented effectively to capture and mobilise the imagination of an audience. Participants will be introduced to the world of information design and data visualisation where the intersection of text and image, perception and cognition, process and leadership, beauty and function, logic and emotion, enables us to reveal the wealth of information within the data and to deliver effective messages.

In a world where polarisation and misinformation are among the top risks for the coming years, critical thinking and evidence-based decision-making are crucial in tackling challenges such as disease, social inequality, and climate change. Data visualisation is vital because it enables researchers and scientists to communicate complex information and support informed decisions, playing a key role in our collective response to these issues.

The course will unfold through four modules, incorporating lectures to gain the theory, case studies for inspiration, hands-on tasks to apply the theory, and discussions for reflecting and learning from one another. The course is designed to provide concrete tools and techniques essential for immediate application in participants' daily work.

AUDIENCE The training is a hands-on experience aimed at scientists, designers, leaders of scientific organisations, data scientists, and students.

We have an international group of participants, from the field of science, information design and communication.

CONTENT The following modules will be covered:

Module 1: Process - As a major domain of design research and practice, ‘co-design’ encapsulates a way of approaching data visualisation that ensures a deep and shared understanding between those creating the visuals and the audience. Participants will explore co-design methods for visualisation projects aimed at including multiple stakeholders and perspectives, and methods for co-creating visualisations. Takeaway : Gain step-by-step tools for ensuring authentic participation.

Module 2: Toolkit - This module offers participants the chance to familiarise themselves with the essential components of a toolkit that Angela and Tom have refined over 18 years of working with scientific organisations. The tool kit focuses on methods for transforming scientific findings into clear and accessible narrative. Takeaway : Gain a basic knowledge of concrete tools for building meaningful visualisations.

Module 3: Narrative - Participants…