After graduating in Architecture at Ferrara University in 2006 she has been involved in many multidisciplinary design projects exploring urban phenomena and behaviors, visualization and technology.
Since 2011 she is a PhD student in Design at Politecnico di Milano within Density Design Lab. Her research seeks to explore the way information is currently transforming networks, culture, societies and urban space, focusing on systems that gather and cross different kind of data in order to provide meaningful inquirable visual narratives as a support for decision making processes.
Is it possible to spot and visually tell multiple stories from a singular dataset? How many alternatives can we think of? Can we do it only playing with fixed visual elements, given format, typologies of lines and color palette? Can we create meaningful, beautiful, and well-composed data visualizations with such constraints?
In this workshop we'll see how to build data visualizations able to enlighten multiple stories. Using a singular (rich) dataset and rigid graphic constraints, attendees will explore and learn the process of:
- Selecting a main story to display
- Composing the main architecture (the formalized base through which the main story will be mapped and displayed)
- Choosing proper visual elements (among given) to represent the story we want to tell
- Elucidating internal relationships between elements
- Supplementing the main story through the addition of eventual "minor tales"
- Finalizing the piece through hierarchy balancing, providing a self-explanatory legend and fine tuning of
Participants (or small teams) will be given with the same:
Dataset (excel), graphic boundaries (Adobe illustrator file with graphic constraints, ready to be filled), Dataviz kit (Adobe Illustrator file with several graphic elements to choose among, already sized according to the data), and inspirational material (additional folder with visual references for the overall composition, references will mainly be artistic pieces rather than existent infographic or dataviz).
Each participant (or small team) will just have to drag the elements around (no particular skills needed) and change colors, texts and other minor details to create a 3-hour dataviz on the same topic, but telling and displaying their personal story. Workshop results will then constitute an online collaborative dataviz project.
Requirements: You will need your own laptop with the following installed and a basic knowledge of: Excel (2007 or later) and Illustrator (version 5 is ok but you can easily download a 30 day trial of version 6, which we recommend).
Data visualization is reaching ever higher echelons, and work in the field has quickly evolved. Visual models have been designed, codified and classified, and many artists have developed recognisable styles of communication. How can designers continue to discover visual solutions without rehashing the same familiar references? How can a visual designer find inspiration from aesthetics beyond the field of data visualzation, and bring in the unexpected form music notations, abstract paintings, poetry and architecture – all the while maintaining scientific accuracy in the display of data?
Giorgia will share her personal story and describe a self-taught method which enables her imagination to wander through the world and find visual inspiration in everyday life and experience. This while presenting the work done for the Italian national newspaper, Corriere della Sera, and some other ongoing experiments carried with her team at Accurat. Beyond the process, this talk will offer an approach to creating effective and elegant outcomes while keeping readers' attention through a multi-layered, exploratory printed data visualizations. Giorgia will share her pseudo-scientific process to develop multilayered data narratives with a beautiful aesthetic, all the while avoiding overly-used visual models and metaphors. The talk will take the audience from first concept to final piece, revealing the background materials, sketches and prototypes, and her method to translate multi-disciplinary inspirations into good data visualization.