數位社會
Digital Society
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 數位社會 YX207 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
Computing devices have become ubiquitous, which has reconfigured society in diverse ways. Some of these devices are mundane now and devices such as mobile phones have been streaming and sharing personal data with a wide range of social and commercial platforms. Other devices are less visible, but equally powerful in shaping how we understand different aspects of society. These objects can be as small as air quality or sound sensors for environmental monitoring or city dashboards overseeing how cities are changing in real-time. Data produced through these devices generate specific knowledge about society, while risking ignoring other forms of knowledge and epistemic practices. Further, wearable devices, such as smart watches or wearable cameras, monitor and track personal health, fitness and memory. These tracking practices can occur at workplace or everyday life, creating different concerns regarding the value, ownership, labour and privacy of data, data subjects and data production processes. As a result, many sociotechnical transformations are rapidly changing how society is configured, how social activities are undertaken, known or regulated, and how society is governed. These ongoing societal reconfigurations produce new hopes, dangers and uncertainties. Faced with these ways of shaping digital society, this course introduces students to ongoing research on different ideas, practices and political economies of digital society. The first part of the course will familiarise students with different conceptual developments for understanding digital society and the second part explores various aspects of society that are reconfigured through the incorporation of computing devices into society. The course will provide ample opportunities for course participants to engage closely with the assigned readings and exchange ideas and perspectives among the participants to form broad and detailed understandings on the digital transformation of society.
(1) 期末報告 (60分) (2) 課堂導讀與準備 (30分) (3) 課堂參與 (10分)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction Google Meet link (all weeks): https://meet.google.com/jvc-eqyw-whn |
| 第 2 週 | Digital technology and society Marres, N. (2017). Introduction and Ch. 1 What is digital sociology, Digital Sociology: The Reinvention of Social Research. Cambridge: Polity Press. |
| 第 3 週 | Data boyd, d., & Crawford, K. (2012). Critical questions for Big Data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679. Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data & Society, 1(1), 2053951714528481. |
| 第 4 週 | Guest lecture 人社講座 |
| 第 5 週 | Guest lecture 人社講座 |
| 第 6 週 | Algorithm Bruder, J. (2021). The algorithms of mindfulness, Science, Technology & Human Values, online first. Bucher, T. (2012). Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7), 1164–1180. |
| 第 7 週 | Work Roelofsen, M., & Minca, C. (2018). The Superhost: Biopolitics, home and community in the Airbnb dream-world of global hospitality. Geoforum, 91, 170–181. Kerr, A., & Kelleher, J. D. (2015). The recruitment of passion and community in the service of capital: Community managers in the digital games industry. Critical Studies in Media Communication, 32(3), 177–192. |
| 第 8 週 | City Sadowski, J., & Bendor, R. (2019). Selling smartness: Corporate narratives and the smart city as a sociotechnical imaginary. Science, Technology, & Human Values, 44(3), 540–563. Curran, D. & Smart, A. Data-driven governance, smart urbanism and risk-class inequalities: Security and social credit in China, Urban Studies, 58(3), 487-506 |
| 第 9 週 | Platform Plantin, J.-C., Lagoze, C., Edwards, P. N., & Sandvig, C. (2018). Infrastructure studies meet platform studies in the age of Google and Facebook. New Media & Society, 20(1), 293–310. Mackenzie, A. (2019). From API to AI: Platforms and their opacities. Information, Communication & Society, 22(13), 1989-2006. |
| 第 10 週 | Temporality Wajcman, J. (2019). The digital architecture of time management. Science, Technology, & Human Values, 44(2), 315–337. Kitchin, R. (2019). The timescape of smart cities. Annals of the American Association of Geographers, 109(3), 775–790. |
| 第 11 週 | Activism van der Velden, L. (2015). Forensic devices for activism: Metadata tracking and public proof. Big Data & Society, 2(2). Gabrys, J., Pritchard, H., & Barratt, B. (2016). Just good enough data: Figuring data citizenships through air pollution sensing and data stories. Big Data & Society, 3(2), doi:2053951716679677. |
| 第 12 週 | Gender Ford, H., & Wajcman, J. (2017). ‘Anyone can edit’, not everyone does: Wikipedia’s infrastructure and the gender gap. Social Studies of Science, 47(4), 511–527. D’Ignazio, C., & F. Klein, L. (2020). The power chapter, in Data Feminism, Cambridge, Mass.: The MIT Press, access: https://data-feminism.mitpress.mit.edu/pub/vi8obxh7/release/4 |
| 第 13 週 | Self Neff, G., & Nafus, D. (2016). Self-Tracking. The MIT Press. Ch. 2 Goriunova, O. (2019). The digital subject: People as data as persons. Theory, Culture & Society, 36(6), 125–145. |
| 第 14 週 | Health Liu, C. (2021). Seeing like a state, Enacting like an algorithm: (Re)assembling contact tracing and risk assessment during the COVID-19 pandemic, Science, Technology & Human Values. Online first. Sharon, T. (2018). When digital health meets digital capitalism, how many common goods are at stake? Big Data & Society, 5(2), 2053951718819032. |
| 第 15 週 | Security Amoore, L. (2011). Data derivatives on the emergence of a security risk calculus for our times. Theory, Culture & Society, 28(6), 24–43. Sanchez-Monedero, J., & Dencik, L. (2020). The politics of deceptive borders: ‘Biomarkers of deceit’ and the case of iBorderCtrl. Information, Communication & Society, online first, 1–18. |
| 第 16 週 | Ethics Klugman, C. M., Dunn, L. B., Schwartz, J., & Cohen, I. G. (2018). The ethics of smart pills and self-acting devices: Autonomy, truth-telling, and trust at the dawn of digital medicine. The American Journal of Bioethics, 18(9), 38–47. Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2). |
| 第 17 週 | Essay preparation |
| 第 18 週 | Essay preparation |
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