Histories of Tracking

 

Histories of Tracking Conference
Université de Luxembourg | Universität Siegen
September 30 – October 2, 2026
Location: Black Box, MSH, Belval Campus, Esch-sur-Alzette, Luxembourg
https://www.uni.lu/c2dh-en/events/histories-of-tracking

Surveillance has become ubiquitous in digital media environments and is now taken for granted. With every PayPal interaction, at the least more than 600 trackers eavesdrop on its transactional data (Schneier 2018). While there is no lack of critique on digital surveillance and its discontents, its ubiquity and naturalization itself require more explanation. Which historical and economical trajectories have led into the current escalation of digital tracking, tracing, monitoring, classification, intelligence service, and advertising? How can we discover and mobilize counterpoints and narratives that explain digital surveillance otherwise? Do micro-level media, data, and sensor practices represent “yet another mutation of capitalism,” to quote from Gilles Deleuze’s famous Postscript on the Societies of Control (1990)?

Tracking persons, emotions, objects, apparatuses, money, signs and data is a veritable environing technique. It is also one of the key business applications of platform and data economies, which provide for the infrastructures of state-side institutional surveillance and control. With our joint Luxembourg-Siegen conference on Histories of Tracking we aim to track the trackers historiographically, technologically, and ecologically.

In a seminal text, Phil Agre (2003 [1994]) has encouraged us to think about the difference between rather centralized regimes of (visual) surveillance and data-based institutional regimes of “capture.” Agre has paved the way for a logistical theory of digital surveillance that investigates its micropolitics. While non-visual alphanumeric modes of capturing data do not feel like surveillance, they nonetheless establish an ever more mundane and affective mode of ubiquitous surveillance. What if we follow Agre’s analysis of institutional “grammars of action” that afford a whole spectrum of capturing, monitoring, sensing, and surveillant practices? Histories of tracking, we assume, are histories of the institutions, corporations, and agencies that create the tapestry of surveillance (Lauer 2017). That tapestry might seem all-encompassing and seamless by now, even if it contains loose threads, loopholes, and islands of encryption.

Histories of tracking are co-operative histories that involve the consent, non-consent and dissent of digital media usage (Jones 2024). They are also business histories that rely on what Shoshana Zuboff (2019) has aptly called a “behavioral surplus” of data. Last but not least, histories of tracking are histories of its public scrutiny and accountability, from opposing civil rights movements to the political and legal controversies that make the case for regulation.

We thus invited dedicated contributions from Media and Cultural Studies, History, Science and Technology Studies, Surveillance Studies, Platform Studies, Code Studies, Socio-Informatics, Law, and Sociology that combine historiographic and empirical work with grounded theoretical approaches.

„Histories of Tracking“ weiterlesen

Blockchain vs. AI

Logo 4S 2025 Reverberations SeattleBoth as imaginary and material network technologies, blockchain and ‘artificial intelligence’ tend to clash and mingle at the same time. Current neoconnectionist AI and blockchains follow very different cultural logics, just as neural networks differ from peer-to-peer networks sociotechnically. Maximum data intensity, large language models, tokenized media objects, modification of algorithms by data, operational statistics, plus the variation of existing patterns in the case of AI – data immutability, encryption, token economies and exact processing of algorithmic instructions in the case of blockchain. Together, blockchain and neoconnectionist AI are about to form what I call a seventh historical layer within my work on “The Connectivity of Things” in network cultures.

Yet, at the same time, blockchain and AI not only compete for parallel distributed processing power in data centers. They both share energy-intensive, extractive strategies that drive the booms and busts of too-late capitalism (Anna Kornbluh). While their network imaginaries are still being contested, naturalization and habitualization happen at an ever increasing pace. Sometimes, blockchain is now promoted as a slowing-down counter-infrastructure to AI’s accelerationist, generative media and its models. The paper is going to take a close look at controversial cases like Worldcoin, which is supposed to afford for a biometrical “proof-of-human” that attaches a digital identity to online content. While the cultural logics of blockchain and AI might seem to differ almost entirely on the infrastructural level, they are currently serving as a match made in hell when it comes to their political and economical appropriation.

[This is my contribution to the 4S open panel Network Imaginaries: Past, Present, and Future on September 4, 2025.]