Anthropology of the Digital: Information, Memory, and Culture
Study Course Implementer
SZF, Kuldigas Street 9C, szf@rsu.lv
About Study Course
Objective
This course is built around the premise that technologies in the digital age is the externalisation of human memory and the datafication of the biological self. The course critically examines and deconstructs the human not as a tool user, but as an information processor and generator.
Preliminary Knowledge
Basic knowledge of technology as a socio-technical paradigm, as well as of the social sciences, social anthropology, communication sciences, and philosophy of science, is desirable.
Learning Outcomes
Knowledge
1.Analyse technology anthropologically: treat “technology” as cultural practice and infrastructure, not a neutral tool; situate it in social relations and power.
Active participation in the course • Final assignment
2.Operationalise the course premise: use “extended mind/externalised memory” and “datafication of the biological self” as analytic lenses for real cases.
Final assignment
3.Critically interpret datafication: evaluate how measurement, classification, and prediction shape identities, opportunities, and governance.
Final assignment
Skills
1.Read and unpack academic texts: identify thesis, key concepts, evidence type, and what is excluded.
Final assignment • Active participation in the course
2.Build arguments in writing and discussion: define terms, justify claims, connect theory to cases.
Active participation in the course • Final assignment
3.Qualitative inquiry in digital settings: observation, interviews, walkthroughs of apps/platform practices, note-taking, basic coding of themes.
Final assignment
4.Conceptual modelling: move across levels (self/experience ↔ institutions/platforms), map socio-technical relations (actors, infrastructures, classifications).
Final assignment
5.Ethical reasoning in research: anticipate privacy/consent risks, assess power asymmetries, practice reflexivity.
Final assignment
6.Digital systems literacy (non-coding): explain in plain language what data representations, databases, and models enable; trace how “data” gets produced from practice.
Final assignment
Competences
1.A working understanding of the “extended mind” idea: external objects and systems can function as parts of cognition when they reliably support remembering, retrieving, and problem-solving (a good bridge to “externalised memory”).
Final assignment
2.A working definition of datafication as making aspects of life and behaviour “processable” as data for large-scale analysis (a bridge to “datafied biological self”).
Final assignment
3.Comfort moving between levels of analysis: individual experience (memory, identity, embodiment) and system-level operations (classification, metrics, prediction).
Final assignment
Assessment
Individual work
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Title
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% from total grade
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Grade
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1.
Active participation in the course |
30.00% from total grade
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10 points
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Students should study and analyse literature independently and participate actively and meaningfully in classes, engaging in discussions, performing common and individual tasks according to the course plan. |
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Examination
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Title
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% from total grade
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Grade
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1.
Final assignment |
70.00% from total grade
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10 points
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“Anti-App” final assignment and presentation |
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Study Course Theme Plan
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On site
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Study room
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2
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Topics
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From Tool to Information: Technology as a System of Signs
Description
In the class, we will cover experimental ethnography to reveal the "numerical layer" hidden behind the "cultural layer" of the interface. By intentionally breaking a file, students witness Manovich’s claim that media is simply programmable code. We will observe the tension between the "human interface" (image) and the "computer interface" (code). |
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E-Studies platform
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2
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Topics
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The Materiality of the Cloud
Description
Students conduct an "Archaeology of the Interface." They choose one personal device (smartphone, router, etc.) and trace its supply chain backwards to identify the "black-boxed" labour and materials (e.g., cobalt from the Congo) required for its production. |
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Off site
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E-Studies platform
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2
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Topics
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Digital Technology as Externalised Cognition
Description
Students experience Kelty’s "Recursive Public" by simulating a Wikipedia dispute. They act as "Technocrats" (neutral tone), "Activists" (impassioned tone), and "Admins" (rule-makers). They discover that the "Admins," who write the Rules (codes/policies) effectively control the "truth" (socioeconomic outcomes), illustrating that infrastructure is political. |
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Off site
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2
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Topics
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How culture codes technology and how technology recodes the self
Description
We map how the "Receiver’s Bias" (the algorithm's model of the user) shapes the information environment and discuss how it works in an offline setting (social scripts). We discuss the Encoded/Decoded notion: How did the platform "decode" the student? The programmer encoded a "preferred reading" (relevance), but the algorithm negotiated this based on the user's "cultural baggage" (search history, location). How does this confirm that culture is a filter of reality? We move this notion to the offline setting and discuss how cultures may filter offline reality. |
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On site
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Study room
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2
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Topics
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Cosmotechnics and TechnoFeminism
Description
This lesson challenges the notion of "universal" digital technology by exploring how cultural cosmologies and gendered hierarchies are embedded in design. Students examine Yuk Hui’s cosmotechnics to understand how non-Western traditions resist technological determinism, alongside Judy Wajcman’s critique of technology as a site of patriarchal power. The seminar involves an ethnographic audit of voice assistants to visualise how gender biases and "hard/soft" skill dichotomies are hardcoded into supposedly neutral interfaces. |
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2
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Topics
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The Quantified Self & Datafication
Description
This session explores the transformation of biological life into digital data and the rise of the "data double" as a source of institutional power. Participants analyse how self-knowledge is increasingly mediated by numbers and metrics, potentially overshadowing lived physical experience. Before the class, students perform a "Personal Data Autopsy" by analysing their own data exports from major platforms (e.g., Spotify, Netflix). In class, they analyse one day of their life through the "machine's eyes." What was captured? What "truth" about them is missing from the data? |
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E-Studies platform
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2
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Topics
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Networked Intimacy & Digital Kinship
Description
In the class, we critique the dichotomy between digital and face-to-face communication by examining how intimacy and kinship are mediated by social platforms. The concept of "ambient co-presence" is used to analyse how digital tools sustain relationships through continuous, low-stakes interaction. Applying an "Emoji Ethnography," students decode the phatic labour and unwritten social rules governing digital messaging and response times. |
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Off site
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E-Studies platform
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2
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Topics
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Moving Beyond the "Black Box"
Description
This session reframes algorithms as unstable, human-enacted cultural systems rather than objective mathematical formulas. Drawing on "algorithms as culture," the lecture explores how code embodies specific institutional logics and social values that are constantly negotiated. During the seminar, students conduct ethnographic interviews with AI agents, treating the algorithm as a "cultural informant" to map how its conversational style enacts specific institutional ideologies. |
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Off site
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E-Studies platform
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2
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Topics
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The Architecture of Attention: How Machines "Recall" and Humans "Forget"
Description
We investigate the intersection of AI reasoning and human cognitive processes, specifically the role of memory and forgetting. We examine how Large Language Models (LLMs) navigate semantic spaces, compared with how human forgetting functions as a cultural filter for meaning. The class includes a "memory audit" to compare instant machine retrieval with the narrative preservation of meaning in human communication, highlighting the risks of data-heavy but meaning-poor cultures. |
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Off site
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2
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Topics
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Synthetic Truth in a Post-Trust Society
Description
This session addresses the "epistemological crash" caused by the proliferation of AI-generated media and the resulting shift in how society defines authenticity. Using digital hermeneutics, the lecture explores why "messy" human flaws have become a valuable social currency in an era of synthetic abundance. In the seminar, students perform a "Burn Test for Reality" to analyse their sensory and psychological strategies for distinguishing organic content from synthetic generation. |
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Off site
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2
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Topics
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Artificial Movements: Aspirational Mobility in the Cloud
Description
This lesson explores the convergence of physical migration and digital mobility, examining how virtual environments and avatars facilitate new forms of "staged authenticity." Drawing on ethnographies of virtual worlds, the session questions whether digital travel offers true liberation or merely reinforces existing geographical and social inequalities. The seminar involves creating an "Atlas of Nowhere," in which students critically analyse the cultural stereotypes embedded in AI-generated visions of mobility and pilgrimage. |
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Modality
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Location
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Contact hours
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Off site
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E-Studies platform
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2
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Topics
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Designing the Pluriverse: Anthropology of the Future
Description
The concluding lesson synthesises the course by applying Arturo Escobar’s concept of the "Pluriverse" to challenge the singular, productivity-focused trajectory of technological development. It examines how digital systems can be redesigned to prioritise autonomy, care, and cultural diversity over mere efficiency. For the seminar and final examination, students prototype "anti-apps" and draft manifestos that envision digital futures centred on human values and radical interdependence. |
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Test
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Off site
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E-Studies platform
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2
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Topics
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Final exam
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Bibliography
Required Reading
Blanchette, J.-F. (2011). A material history of bits. Journal of the American Society for Information Science and Technology, 62(6), 1042–1057.Suitable for English stream
Song, D. (2025). Hall’s encoding/decoding model revisited in the digital platform age: De/encoding, lincoding, affordecoding, and en/decoding. Information, Communication & Society
Wajcman, J. (2010). Feminist theories of technology. Cambridge Journal of Economics, 34(1), 143–152.
Lupton, D. (2016). The Quantified Self. Chapter: (Chapter "Self-Knowledge through Numbers")Suitable for English stream
Miller, D. (2016). Social Media in an English Village. (Chapter on "Goldilocks Strategy")
Seaver, N. (2017). Algorithms as culture: Some tactics for the ethnography of algorithmic systems. Big Data & Society, 4(2)
Habibi, R., Kashani, K., Wan Ha, S., & Lin, Z. (2025). What Do You Mean? Exploring How Humans and AI Interact with Symbols and Meanings in Their Interactions. ACM.Suitable for English stream
Ven, I. van de, & Chateau, L. (2024). Digital Culture and the Hermeneutic Tradition: Suspicion, Trust, and Dialogue. Routledge
Jiang, C., Phoong, S. W., & Moghavvemi, S. (2025). Cultural odyssey in the metaverse: Investigating the impact of virtual technologies on tourist reuse behavior and social sustainability. Humanities and Social Sciences Communications, 12(1), 866.Suitable for English stream
Additional Reading
Escobar, A. (2018). Designs for the Pluriverse: Radical Interdependence, Autonomy, and the Making of Worlds. (Chapter: "Autonomous Design and the Politics of the Artificial").Suitable for English stream
Balkin, J. M. (1998). CULTURAL SOFTWARE: A Theory of Ideology, Memetic Evolution (Vol. 3).Suitable for English stream