|    Syllabus   |   Calendar   |   Assignments   |   Student Blogs & WebQuests  |  Lino  |   Exhibition   | 


Project 4: Data Visualization: Research-based Art

Data visualization is a broad term for numerous approaches to present information visually. Charts, graphs, and maps are common forms of data visualization. Artists and art educators have long known the power of visualization of ideas. Data visualization can bring surprising new insights and be influential because large amounts of information are placed in relation to each other showing patterns and trends. Yet the tool or apparatus—whether camera, paintbrush, or computer—entangles the subject with object, knower with known, and data with context. Visualization of data sets is knowledge of the data in relationship with other things, people, and/or the environment.

ASSIGNMENT: (15% of course grade).

Post on your blog a data visualization that relates to something from the Overlap: Full Circle video of encounters. Due 10/30 (5% of course grade).

Write a 150-word abstract on how the data visualization relates to the Overlap: Full Circle video of encounters. Due 10/30 (5% of course grade).

Add your data visualization to the 360-degree video. Due 12/4 (5% of course grade).

The URL to your data visualization and description will be posted in the National Art Education Association's (NAEA) Collaborate and presented during the NAEA Webcast on November 13.



Student work

  • Monika Skazedonig: Have you ever thought about the streets name when you were walking through Klagenfurt?
  • Eunjung Choi’s mapping of self, linked here, reveal their revelations regarding privilege, positionality, and difference in the process of mapping a relational self.
  • Hyunji Kwon developed a visual feminist historiography of Kang Duk-kyung’s life, which includes Kang’s symbolic drawings about the atrocities of her experiences as a “Comfort Woman” sex slave. The map is linked here

Tools for Data Visualization