https://orcid.org/0000-0002-8243-4974
References
- Brayne, S., & Christin, A. (2021). Technologies of crime prediction: The reception of algorithms in policing and criminal courts. Social Problems, 68(3), 608–624. https://doi.org/10.1093/socpro/spaa004
- Constanza-Chock, S. (2020). Design justice: Community-led practices to build the worlds we need. MIT Press.
- Dubal, V. B. (2017). The drive to precarity: A political history of work, regulation, & labor advocacy in San Francisco’s taxi & uber economies. Berkeley Journal of Employment and Labor Law, 38(1), 73–135. https://doi.org/10.15779/Z387P8TD1D
- Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
- Gray, M. L., & Suri, S. (2019). Ghost work: How to stop Silicon Valley from building a new global underclass. Houghton Mifflin Harcourt.
- Irani, L. (2019). Chasing innovation: Making entrepreneurial citizens in modern India. Princeton University Press.
- Mattern, S. (2020). Post-it note city. Places Journal. https://doi.org/10.22269/200211
- Mattern, S. (2021). A city is not a computer: Other urban intelligences. Princeton University Press.
- Reeves, J., & Packer, J. (2013). Police media: The governance of territory, speed, and communication. Communication and Critical/Cultural Studies, 10(4), 359–384. https://doi.org/10.1080/14791420.2013.835053
- Reid, J. (2006). The biopolitics of the war on terror: Life struggles, liberal modernity, and the defense of logistical societies. Manchester University Press.
- Rosenblat, A., & Stark, L. (2016). Algorithmic labor and information asymmetries: A case study of uber’s drivers. International Journal of Communication, 10, 27. https://doi.org/10.1932.8036/20160005
- Sadowski, J. (2020). Too smart: How digital capitalism is extracting data, controlling our lives, and taking over the world. MIT Press.
- Shapiro, A. (2020). Design, control, predict: Logistical governance in the smart city. University of Minnesota Press.