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Bruges til grafiske elementers tilstand

Data Visualization

Data visualizations have the potential to make the invisible visible, the complex readable, and the abstract concrete. As the amount and use of data around us becomes more and more widespread, the ability to communicate with and through data has become an essential competence. 

The increased use and understanding of data visualizations has also highlighted its shortcomings in a post-factual world. This has led to a critical reassessment of data visualizations resulting in a stronger emphasis on the accountability and transparency as a data communication format. It has also resulted in an exploration of alternative, more emotional forms of visualization.

The course provides both a practical and theoretical foundation for working with data visualizations. As a participant, you will amongst others be introduced to concrete methods for – as well as universal principles of – the visualization of data. At the same time, you will get to work hands-on creating data visualizations and infographics. You should expect to engage in a creative and critical dialogue around the communication with and through data, and to explore new tools and methods and to be actively creating visualizations during the course.

Learning outcomes:

  • introduction to a variety of data visualization practices, their ideas and their tools
  • theoretical understanding of the grammar and rules of (data) visualizations
  • introduction and exercises in visualization software like Gephy, Charticulator, Tableau or P5 / D3.

 

"Uncounted gigabytes of information are now available at a finger's touch on a keyboard, cached in digital memories, out of context. Our problem is not the scarcity of information, but the overwhelming challenge of sorting it, understanding it, and finding relevance, meaning and truth within data".
Neil Gaiman
“The Absolute Sandman, Vol. 1”
Target group

Professionals in communication with some design experience who are interested in developing their skills in data visualisation. Relevant for all who want to work more with data in their processes, either as part of research, or as method of communication. The course assumes that participants have a basic knowledge and experience of working with design, visual design tools and communication. As the participants will do some tinkering with coding, they are expected to have some experience in working with spreadsheets.

Prerequisites
  • basic knowledge and experience of working with visual design tools basic
  • knowledge and experience of working with spreadsheets
  • up-to-date laptop with basic visual design software (for instance Adobe Creative Suite)
  • the course will be taught in English
Guest lectures

Gustavo Ribeiro, Associate Professor, Institute of Architecture, Urbanism and Landscape at Royal Danish Academy 

Jichen Zhu, Associate Professor in Digital Design at IT University of Copenhagen

Annelie Berner, Designer and artistic researcher at Institute of Visual Design at Royal Danish Academy 

Mauro Martino, Principal Researcher and Head of the Visual AI Lab, MIT-IBM Research AI and Professor of Practice at Northeastern University

Course directors

Joost Grootens

Professor, Institute of Visual Design, Royal Danish Academy

Vis beskrivelse Skjul beskrivelse

Joost Grootens is a graphic designer, educator and researcher. Based in Amsterdam (NL) and Biel/Bienne (CH), his studio SJG designs books, maps, typefaces, spatial installations and digital information environments for publishers like Lars Müller Publishers, nai010 publishers, Phaidon press, educational and research institutes like ETH Zürich, Future Cities Laboratory Singapore, TU Munich, and museums like Astrup Fearnly Museet Oslo, Serpentine Galleries London, Van Abbemuseum Eindhoven. 

SJG won numerous prizes for their designs. Among them the Golden Letter and two gold medals in the Best Book Design from all over the World competition, and twice the Dutch Design Award for Graphic Design.

Grootens is Professor of Artistic Research in Visual Design at the Royal Danish Academy in Copenhagen and head of the Master programme Information Design at the Design Academy Eindhoven.

Alessandro Canossa

Associate professor, Institute of Visual Design, Royal Danish Academy

Vis beskrivelse Skjul beskrivelse

Alessandro Canossa has been straddling between the game industry and academia for many years. He has been Assistant Professor at the IT University of Copenhagen, Associate Professor at Northeastern University in Boston and he's now at the Royal Danish Academy.

In his research, he employs psychological theories of personality, perception, motivation and emotion to design games with the purpose of investigating individual differences in behavior among users of digital entertainment. His research focuses heavily on these topics:

a) developing behavioral analysis methods that are able to account for granular spatial and temporal events, avoiding aggregation;

b) designing and developing visual analytics tools that can enable any stakeholder to produce user driven content leveraging advanced statistics and machine learning,

c) data-driven design practices and interactive visualizations of user behavior.

Alessandro was also Senior User Researcher and Director of Data Insights at Massive Entertainment a Ubisoft studio, where he enjoyed tremendously investigating occult behavioral patterns and novel player modeling approaches while identifying the best processes for transferring knowledge from academic research to industry practices.

He's now involved with Modl.AI, a company providing AI services to the game industry, where he's exploring how to triangulate data-driven insights with surveys and lab observations to advance the field of predictive analytics.