Sketching with Data



The growing deployment of networked infrastructures has dramatically increased the amount of logs byproducts of people digital activities (i.e., digital footprints). That intangible material takes the form of cellular network activity, aggregated credit card transactions, real-time traffic information, user-generated content, or social network feeds. The capacity to transform this type of big data into insights, products, or services has called for new practices at the crossroad of design and “data science.” This paper will discuss transversal incline of the innovation with digital footprints and will describe how sketching with data offers useful interfaces to the many stakeholders of innovative projects.


Visitor Behavior Digital Footprint User Experience Design Visual Program Environment Human Activity Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Biddulph M (2012) Prototyping apps using real data. Presentation at the EAN’s World of Data event in London. Available online:, 7 Feb 2014
  2. Girardin F (2009) Aspects of implicit and explicit human interactions with ubiquitous geographic information. Ph.D. thesis, Universitat Pompeu FabraGoogle Scholar
  3. Girardin F, Vaccari A, Gerber A et al (2009) Quantifying urban attractiveness from the distribution and density of digital footprints. Int J Spat Data Infrastruct Res 4:175–200Google Scholar
  4. Kuniavsky M (2010) Smart things: ubiquitous computing user experience design. Morgan Kaufmann, BurlingtonGoogle Scholar
  5. López Peña J, Touchette H (2012) A network theory analysis of football strategies. In: Clanet C (ed) Sports physics: proceedings of 2012 Euromech physics of sports conference. Éditions de L’École Polytechnique, Palaiseau, pp 517–528Google Scholar
  6. Schank-Smith K (2005) Architect’s drawings: a selection of sketches by worlds famous architects through history. Routledge, LondonGoogle Scholar
  7. Star SL, Griesemer J (1989) Institutional ecology, translations and boundary objects: amateurs and professionals in Berkeley’s Museum of Vertebrate Zoology, 1907-39. Soc Stud Sci 19(3):387–420CrossRefGoogle Scholar
  8. Yoshimura Y, Girardin F, Carrascal JP, Ratti C, Blat J (2012) New tools for studying visitor behaviours in museums: a case study at the Louvre. In: Proceedings of the international conference in Helsingborg (ENTER 2012)Google Scholar
  9. Zook M, Dodge M, Aoyama Y, Townsend A (2004) New digital geographies: information, communication, and place. Geogr Technol 155–176Google Scholar

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.Near Future LaboratorySierreSwitzerland

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