AK3118 Vizualizing the World - Making Sense of Our Environments 4.0 credits
Att visualisera världen - att förstå vår miljö
Education cycleThird cycle
Main field of study
Grading scaleP, F
At present this course is not scheduled to be offered.
Intended learning outcomes
The course investigates tools, concepts and processes of creating and displaying visual information. After completing the course, students should have attained a thorough understanding of the relationship between visualized sensorial data and political and economic intervention in social and natural environments. Students should be able to
- understand that instruments and inscriptions are not neutral and objective but incorporate specific epistemological premises and reproduce a particular interpretation of the world;
- assess different forms of visuals, like images, graphs, maps and models;
- analyze different visual tools and sensory devices, from ultrasound to satellites, GPS and GIS;
- explain how recorded data are intimately connected to power;
- study and present examples for this connection of power and visual information;
- evaluate the political and economic implications of visual information;
- understand and evaluate how social and natural environments are shaped by visual information, anticipating and encouraging particular forms of understanding, modeling, and planning.
Course main content
The course consists of lectures and plenary discussions, group work and poster presentations. The course includes guided tours of the Kiruna station of the Esrange Space Center and of the Abisko Scientific Research Station ANS. Lecturers are Petra Gehring, Gabriele Gramelsberger, Mikael Hård, Sabine Höhler, Jens Lachmund, Josef Wiemeyer, Nina Wormbs.
Lectures and discussions focus on the following topics:
- the co-construction of data and instruments on the one hand and the five senses on the other, with a focus on technologies of visualization;
- remote-sensing devices and the perception of environments: meteorological instruments, satellite-mediated data, computer applications, simulations and forecasts;
- concepts and tools of monitoring public space: Internet surveillance, population screenings, cell phone positioning; electronic tagging, collecting smart-phone user data;
- the political and economic power of objectified data: environmental statistics, resource surveys;
- the role of images in economic, political, and military affairs: air-surveillance photos, emission charts, land-use maps, climate models.
Eligible applicants are students who meet the requirements for admission to graduate/PhD studies in history or other humanities and social sciences.
Among other texts, readings will encompass Jens E. Kjeldsen, “Visual argumentation in an Al Gore Keynotepresentation on climate change,” in: F. Zenker, ed., Argumentation: Cognition and Community. Proceedings of the 9th International Conference of the Ontario Society for the Study of Argumentation (OSSA), May 18-21, 2011. Windsor, ON (CD ROM), pp. 1-12. David Pinder, “Subverting Cartography: The Situationists and Maps of the City,” Environment and Planning A 28(3) 1996, 405-427. D. Keim et al., “Visual Analytics: Definition, Process, and Challenges,” in: A. Kerren et al., eds, Information Visualization, LNCS 4950. Berlin: Springer, 2008, pp. 154-175. Stefan Helmreich, “From Spaceship Earth to Google Ocean: Planetary Icons, Indexes, and Infrastructures,” Social Research 78(4) 2011, special issue “The Image,” pp. 1211-1242. Paul N. Edwards, A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming. Boston: MIT Press, 2010
Requirements for final grade
In order to pass the course, participants are expected to
- prepare by reading pre-circulated texts (ca. 400 pages)
- design and present a poster of their current research project (size A1)
- take active part in class discussions
- take active part in two group tasks (lecture discussion and small research project)
ABE/History of Science, Technology and Environment
Nina Wormbs, firstname.lastname@example.org, 08 790 85 83
Nina Cyrén Wormbs <email@example.com>
Course syllabus valid from: Spring 2014.