Getting meaning from data plays a vital part in understanding the world around us. How can we use data storytelling and scrollytelling to explore and explain complexities and uncertainties? We welcome a breadth of approaches to knowledge visualisation and representation of data.

Journalism, geopolitics and policy-making all involve complex data. In the light of these turbulent times and in a digital world saturated with information, what do we take into account when representing and discussing current events? In investigative reporting, for example, how do we communicate crisis data? What role do ethics play in our design processes and the data we choose to interact with? How should we change the way we make our design decisions?

It is important, now more than ever, to discuss the current and future role of AI in our lives. The growing presence of AI tools for automation opens up new avenues of possibility and potential, but what is our role in approaching and embracing this change responsibly? In envisioning a human-centred AI future, how do we address the biases, ethical concerns and the social implications?

Transparency and collaboration are at the forefront of the move towards open science. Embracing transdisciplinarity and knowledge co-creation, let’s explore the ways in which we can make data visualisation more inclusive and democratic. How can we address the complexities in science and research by shedding light on different perspectives and novel approaches? How can our work as information designers help make scientific knowledge accessible to all?