Mapping Self In Society (MASELFS)
MaSelfS (formerly Re-Shape) is a framework for teaching personal geography & critical spatial inquiry called Mapping Self in Society or MaSelfS. Teachers working in different disciplines such as social studies or computer science can use this framework to engage learners in activities where they learn how to use open source tools to collect and dynamically visualize their physical movement data over thematic maps to explore relations between people and the social and cultural life of neighborhoods and communities.
The framework is also designed for researchers who are considering using new location-based technologies in ethically sensitive ways for research about public history, critical spatial and computational analysis of human geography, and design studies of learning on the move.
Framework of ethics used:
Materials Needed: Physical Movement Data
Visit MaSelfS website to access free, open source tools for gathering data on personal mobility, structuring these data to explore the “daily round” of personal experience at community scale, and visualizing personal geography over time and thematic maps created with larger data sets in these communities. Sections of the website are organized as a sequence of 5 activities that are summarized below. Concepts and tools introduced in each activity can be used separately, or recombined to create novel forms of teaching or research.
Ben Rydal Shapiro, Amanda Meng, Cody O’Donnell, Charlotte Lou, Edwin Zhao, Bianca Dankwa, and Andrew Hostetler. 2020. Re-Shape: A Method
to Teach Data Ethics for Data Science Education. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI,
USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376251
Ben Rydal Shapiro, Amanda Meng, Edwin Zhao, Charlotte Lou, Cody O’Donnell, and & Bianca Dankwa. [n.d.]. Re-Shape. https://www.benrydal.
com/re-shape. Accessed: 2020-5-19.
This methods microsite is based off of analysis which is available in a preprint manuscript. Feel free to review our methodology and other details! We welcome your comments and feedback ! Please also use this form if you would like to suggest a method as an addition to the collection!