Week 1

Welcome to CUS 2025

Welcome to the course! This week we will introduce the course, ourselves, and how to access the computing resources. We will also present a brief introduction to Computational Urban Science and a Crash Course on GIS with R.

Prepare

📖 Read the syllabus of the course.

📖 Read the Computing resources

• Access to the computing server
• Working with the server

📖 Read some general bibliography about Computational Social Science and Urban Science

• Computational Social Science, Lazer et al 2009 [1]

• Computational Social Science: obstacles and opportunities [2]

• Chapter 2 of Bit by Bit book by Salganik [3]

• Cities as Complex Systems - Batty [4]

• The city is not a static tree - Moro [5]

Participate

🖥️ Lecture 1-1 : Welcome to CUS 2025!

🖥️ Lecture 1-2 : Introduction to Computational Urban Science

🖥️ Lab 1-1 : Crash course on GIS with R

🖥️ Lab 1-2 : Collect and analyze you own mobility data

Back to course schedule ⏎

References

[1]

D. Lazer et al., “Computational Social Science,” Science, vol. 323, no. 5915, pp. 721–723, Feb. 2009, doi: 10.1126/science.1167742.

[2]

D. M. J. Lazer et al., “Computational social science: Obstacles and opportunities,” Science, vol. 369, no. 6507, pp. 1060–1062, Aug. 2020, doi: 10.1126/science.aaz8170.

[3]

M. J. Salganik, Bit by bit: Social research in the digital age. Princeton University Press, 2019.

[4]

M. Batty, “Cities as complex systems: Scaling, interaction, networks, dynamics and urban morphologies.” 2009.

[5]

E. Moro et al., “A city is not a static tree: Understanding urban areas through the lens of real-time behavioral data,” ZARCH. Journal of interdisciplinary studies in Architecture and Urbanism, no. 19, pp. 28–39, 2022, doi: 10.26754/ojs_zarch/zarch.2022197407.