Giorgia sees beauty in data. An award winning information designer, she challenges the impersonality of data, designing engaging visual narratives that re-connect numbers to what they stand for: stories, people, ideas. Her work frequently crosses the divide between digital, print, and handcrafted representations of information: primarily, she draws with data.

She co-founded  Accurat, a data-driven design firm with offices in Milan and New York where she is the design director and where she now lives. She is co-author of Dear Data, an aspirational hand drawn data visualization book that was deemed the ‘Best Dataviz Project’ and the ‘Most Beautiful’ at the Kantar Information is Beautiful Awards.

Her work is part of the permanent collection of the Museum of Modern Art where in 2017 she also has been commissioned, and she recently gave a TED TALK on her Humanistic approach to Data.
The Data We Don’t See

Through my professional and artistic practice over the years, I have learned that data not only can describe the objective world, but it can especially grasp and illustrate aspects of our life that we hardly associate with numbers.

Presenting my most recent projects and collaborations, I will share how I look at data as a lens to better understand our human nature, and, on the other hand, how I am exploring ways to humanize data and make it speak our language. I will also share my ongoing experiments in representing data to evoke empathy and emotions besides providing knowledge and understanding and transform even the driest quantitative analysis into a moment of humanity and poetry.

This talk is about how I developed and narrowed the focus of my research and the craft of my practice, and about my endless fascination for all the data we don’t see.


Workshop: Observe, Collect, Draw!


Giorgia and Stefanie (creators of the project and book Dear Data) are in the same city for once, and together they are teaching a very special data-drawing workshop! 

Data is the raw material from which a range of outputs such as data visualization, information graphics, and data-driven artworks are created. This material is often associated with heavy programming skills, complex software and huge numbers but in fact, lots of data visualization designers use old-fashioned sketching and drawing techniques on paper as their primary design tool. How would your approach and sensibility within a data project change if you started by working with charcoal and paper instead of code and screens? Starting a data project by sketching by hand introduces novel ways of thinking, and leads to designs that are uniquely customized for the specific type of data problems we are working with. Through this workshop, you will discover how to use data as a creative material to inform any kind of design, and discover a new way of seeing and engaging with our world, where everything and anything can be a creative starting point for play and expression. 

During the day we'll explore ways of using traditional methods and materials as a starting point for creating data-driven visual systems by taking techniques from the world of art and design and applying them to data. 

We will learn how to produce and create a dataset through observing the world around us: starting from a main question we will build our own data points filled with attributes from what we notice.

Finally, we'll think about the creation of a visualisation system through using a handmade design process, exploring variability in mark-making and material as a way to communicate information, and how to take visual inspiration from what you see to guide your data drawing: learning to see and to reproduce the aesthetic traits that attract our eyes to our surroundings and translate it into visual symbols.

By the end of this workshop, you'll both better understand the data visualization design process and also have access to a different starting process for working with data and shaping its aesthetic (even if you move onto your computer / into code at a later point!)

The entire workshop will be off-screen, using nothing more than basic drawing materials.

SKILL LEVEL: Intermediate


• Why draw data? Why not use software and code?

Applying a creative approach to data visualization

• Learning to see data all around you, and to become a collector in your daily life
Learning how to produce / create a dataset, with attributes and categories
• Basic data analysis as part of the design process
Introduction to rule-based drawing as approach to creating a data visualization

• How to determine the architecture of your data-drawing
Anatomy of a data visualization

• Visual inspiration as a guiding principle

Data-drawing ‘Bootcamp’ (Intensive drawing session merging traditional drawing exercises with data to build creative confidence and push experimentation).

• Feel free to bring along any favorite drawing utensils!