Subtopic Deep Dive

Actor-Network Theory in Technology Studies
Research Guide

What is Actor-Network Theory in Technology Studies?

Actor-Network Theory (ANT) in technology studies traces associations between human and nonhuman actants in sociotechnical systems, treating them with ontological symmetry.

ANT originated in science and technology studies (STS) by Bruno Latour and associates, applied here to art-technology intersections like digital waste and AI ethics. Key works include Gabrys (2011, 202 citations) mapping electronic waste networks and Stark & Crawford (2019, 91 citations) examining data ethics in AI art. Over 20 papers from the corpus explore material agency in virtual environments and maker technologies.

15
Curated Papers
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Key Challenges

Why It Matters

ANT reveals how nonhuman actants like algorithms and e-waste shape cultural practices and policy in smart cities and AI deployment (Gabrys, 2011; Stark & Crawford, 2019). In art-technology, it informs ethical design by tracing power in data practices and 3D printing controversies (Devendorf et al., 2016). Frameworks from Apter et al. (2016) guide curatorial responses to post-anthropocentric materials, influencing museum exhibits and tech policy debates.

Key Research Challenges

Tracing Hybrid Networks

Mapping associations between human artists and nonhuman devices like glitch hardware proves difficult due to fluid boundaries (Kane, 2019). Gabrys (2011) shows e-waste networks evade linear analysis. Empirical methods struggle with dynamic actant roles in robotic arts (Jeon, 2017).

Maintaining Actant Symmetry

Balancing human intent and material agency in case studies risks anthropocentric bias (Apter et al., 2016). Stark & Crawford (2019) highlight AI ethics where platforms act independently. Post-anthropocentric design challenges symmetric treatment in 3D printing (Devendorf et al., 2016).

Analyzing Controversies Empirically

Sociotechnical controversies in smart cities demand multi-site ethnography, complicating data collection (Worbin, 2010). Laurel et al. (1994) faced narrative-material tensions in virtual environments. Recent glitch aesthetics evade stable controversy mapping (Kane, 2019).

Essential Papers

1.

Digital Rubbish

Jennifer Gabrys · 2011 · University of Michigan Press eBooks · 202 citations

This is a study of the material life of information and its devices; of electronic waste in its physical and electronic incarnations; a cultural and material mapping of the spaces where electronics...

2.

The Work of Art in the Age of Artificial Intelligence: What Artists Can Teach Us About the Ethics of Data Practice

Luke Stark, Kate Crawford · 2019 · Surveillance & Society · 91 citations

Problematic use of data, patterns of bias emerging in AI systems, and the role of platforms like Facebook and Twitter during elections have thrown the issue of data ethics into sharp relief. Yet th...

3.

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Brenda Laurel, Rachel Strickland, Rob Tow · 1994 · ACM SIGGRAPH Computer Graphics · 85 citations

article Free Access Share on Placeholder: landscape and narrative in virtual environments Authors: Brenda Laurel Interval Research Corp. Interval Research Corp.View Profile , Rachel Strickland Inte...

4.

Probing the Potential of Post-Anthropocentric 3D Printing

Laura Devendorf, Abigail De Kosnik, Kate Mattingly et al. · 2016 · 65 citations

The growth of small scale manufacturing technologies associated with the "maker movement" has captured the attention of artists, innovators, educators, and policy makers. This paper critically exam...

5.

Designing dynamic textile patterns

Linda Worbin · 2010 · Borås Academic Digital Archive (University of Borås) · 42 citations

ABSTRACTDesigning Dynamic Textile PatternsProgress in chemistry, fibres and polymers technology provides textile designers with new expressive materials, making it possible to design dynamic textil...

6.

Robotic Arts: Current Practices, Potentials, and Implications

Myounghoon Jeon · 2017 · Multimodal Technologies and Interaction · 29 citations

Given that the origin of the “robot” comes from efforts to create a worker to help people, there has been relatively little research on making a robot for non-work purposes. However, some researche...

7.

A Questionnaire on Materialisms

Emily Apter, E. M. Atkins, Armen Avanessian et al. · 2016 · October · 27 citations

Recent philosophical tendencies of “Actor-Network Theory,” “Object-Oriented Ontology,” and “Speculative Realism” have profoundly challenged the centrality of subjectivity in the humanities, and man...

Reading Guide

Foundational Papers

Start with Gabrys (2011, 202 citations) for material agency in e-waste; Laurel et al. (1994, 85 citations) for virtual environment actants; Worbin (2010, 42 citations) for dynamic patterns.

Recent Advances

Study Stark & Crawford (2019, 91 citations) on AI ethics; Apter et al. (2016, 27 citations) on post-anthropocentric questionnaires; Gaboury (2021, 23 citations) on graphics archaeology.

Core Methods

Core techniques: actant tracing (Gabrys, 2011), symmetry in controversies (Stark & Crawford, 2019), ethnographic mapping of maker tech (Devendorf et al., 2016).

How PapersFlow Helps You Research Actor-Network Theory in Technology Studies

Discover & Search

Research Agent uses citationGraph on Gabrys (2011, 202 citations) to reveal clusters in material ANT studies, then exaSearch for 'actor-network theory electronic waste art' yielding Stark & Crawford (2019). findSimilarPapers expands to Devendorf et al. (2016) for post-anthropocentric cases.

Analyze & Verify

Analysis Agent applies readPaperContent to Apter et al. (2016) questionnaire, then verifyResponse with CoVe to check ANT symmetry claims against Gabrys (2011). runPythonAnalysis computes citation networks via NetworkX on 10 core papers; GRADE scores evidence strength in Jeon (2017) robotic actants.

Synthesize & Write

Synthesis Agent detects gaps in AI ethics coverage post-Stark & Crawford (2019), flags contradictions between Laurel et al. (1994) and Gaboury (2021). Writing Agent uses latexEditText for sociotechnical diagrams, latexSyncCitations for 20-paper bibliography, and exportMermaid for ANT network graphs.

Use Cases

"Extract code from papers on dynamic textile patterns for ANT simulation."

Research Agent → paperExtractUrls (Worbin, 2010) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python simulation of pattern actants.

"Compile LaTeX review of ANT in glitch art citing Kane and Gabrys."

Synthesis Agent → gap detection → Writing Agent → latexEditText (intro) → latexSyncCitations (Kane 2019, Gabrys 2011) → latexCompile → PDF with ANT diagram.

"Analyze citation overlap in post-anthropocentric design papers."

Research Agent → citationGraph (Devendorf et al., 2016) → Analysis Agent → runPythonAnalysis (pandas/NetworkX overlap stats) → matplotlib visualization of actant clusters.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on 'ANT sociotechnical art', structures report with actant mappings from Gabrys (2011). DeepScan's 7-step chain verifies symmetry claims in Stark & Crawford (2019) using CoVe checkpoints. Theorizer generates hypotheses on e-waste agency from Apter et al. (2016) and Kane (2019).

Frequently Asked Questions

What defines Actor-Network Theory in technology studies?

ANT traces human-nonhuman associations with symmetry, as in Gabrys (2011) e-waste mappings and Stark & Crawford (2019) AI ethics.

What methods do ANT studies in art-technology use?

Methods include multi-site ethnography (Gabrys, 2011), controversy mapping (Devendorf et al., 2016), and material questionnaires (Apter et al., 2016).

What are key papers on ANT in technology studies?

Gabrys (2011, 202 citations) on digital rubbish; Stark & Crawford (2019, 91 citations) on AI data ethics; Apter et al. (2016, 27 citations) on materialisms.

What open problems exist in this subtopic?

Challenges include empirical tracing of glitch networks (Kane, 2019) and symmetric analysis of robotic actants (Jeon, 2017).

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