Giving a presentation in Machines of Knowledge

Students in Machines of Knowledge are asked to give group presentations on a small data set, using Voyant for distant reading. The presentations should be 10 minutes long. Please consult the teaching platform CANVAS for further details.

Further Readings

• D’Ignazio, C., & Klein, L. F. (2020). Data feminism. MIT Press. https://data-feminism.mitpress.mit.edu/
• Jänicke, S., Franzini, G., Cheema, M. F., & Scheuermann, G. (2016). Visual text analysis in the digital humanities. Computer Graphics Forum, 36(6), 226–250. https://doi.org/10.1111/cgf.12873
• Kennedy, H., Hill, R. L., Aiello, G., & Allen, W. (2016). The work that visualization conventions do. Information, Communication & Society, 19(6), 715–735. https://doi.org/10.1080/1369118X.2016.1153126
• Midway, S. R. (2020). Principles of effective data visualization. Patterns, 1(9), 100141. https://doi.org/10.1016/j.patter.2020.100141
• Manovich, L. (2011). What is visualisation? Visual Studies, 26(1), 36–49. https://doi.org/10.1080/1472586X.2011.548488
• Rettberg, J. W. (2020). Ways of knowing with data visualizations. In M. Engebretsen & H. Kennedy (Eds.), Data visualization in society (pp. 35–48). Amsterdam University Press. https://library.oapen.org/bitstream/handle/20.500.12657/22273/9789048543137.pdf