It is generally believed that big data can reflect what is really going on at a scale of a city, a company or the world on the whole. But how can we define what data should be visualized and what can be clear even when it is presented in tables? How can we make data easier to understand? And does ‘visualizing’ means creating new data?
Participants will try to define how artists, analysts and designers will work with big data in the future. They will also discuss how visualization can help us to turn big data into smart data. How can one present data in such a way that everyone could understand it? When is it acceptable to sacrifice accuracy for representativeness? And what makes data smart: accuracy of the sampling frames or visibility? In this conversations panelists will reflect on their own viewpoints through a discussion of various data related projects across art and design.
— Anna Barinova, Project Lead in Urbica
, a Moscow-based design and consultancy firm focused on human experience in the cities;
— Tatiana Plakhova, digital artist and illustrator, founder of Complexity Graphics
. Her main idea is to show a new way of ‘infographic’ drawings based on various data: biological, mathematical, geological, cultural. Tatiana created illustrations for Breakthrough Initiatives
project devoted to the search for extraterrestrial intelligence launched by Stephen Hawking, Mark Zuckerberg and Yuri Milner;