Raiding the inarticulate since 2010

accelerated academy acceleration agency AI Algorithmic Authoritarianism and Digital Repression archer Archive Archiving artificial intelligence automation Becoming Who We Are Between Post-Capitalism and Techno-Fascism big data blogging capitalism ChatGPT claude Cognitive Triage: Practice, Culture and Strategies Communicative Escalation and Cultural Abundance: How Do We Cope? Corporate Culture, Elites and Their Self-Understandings craft creativity critical realism data science Defensive Elites Digital Capitalism and Digital Social Science Digital Distraction, Personal Agency and The Reflexive Imperative Digital Elections, Party Politics and Diplomacy digital elites Digital Inequalities Digital Social Science Digital Sociology digital sociology Digital Universities elites Fragile Movements and Their Politics Cultures generative AI higher education Interested labour Lacan Listening LLMs margaret archer Organising personal morphogenesis Philosophy of Technology platform capitalism platforms populism Post-Democracy, Depoliticisation and Technocracy post-truth psychoanalysis public engagement public sociology publishing Reading realism reflexivity scholarship sexuality Shadow Mobilization, Astroturfing and Manipulation Social Media Social Media for Academics social media for academics social ontology social theory sociology technology The Content Ecosystem The Intensification of Work The Political Economy of Digital Capitalism The Technological History of Digital Capitalism Thinking trump twitter Uncategorized work writing zizek

Digital methods/data activism summer school

This looks like a great opportunity:

**Call for participation**
The second week of the Summer School is dedicated to the study of ‘data activism’.

*What is data activism?*
With the diffusion of big data, citizens become increasingly aware of the critical role of information in modern societies. Today’s world is awash with data. Never before have we created such a quantity of data by and about people, things, and their interactions. While this data has captured the imagination of governments and corporations alike, people are also increasingly responding to this new technological landscape.
From open data initiatives to privacy enhancing technologies, a growing number of people are developing new tools and practices in response to massive data collection and availability. People take advantage of the possibilities of data for civic engagement, advocacy, and campaigning (pro-active data activism). At the same time, people resist its harms through the development and use of encryption and free and open source alternatives to centralised software and online services (re-active data activism). Data activism is a signal of a more general change in perspectives and attitudes towards massive data collection. For more see data-activism.net.

*Experiments with methods*
Data activism emerges at the intersection of the social and technological dimensions of human action. This raises the question: how are we to understand and study this phenomenon? We think that it is important to experiment with methods. We want to investigate how people make use of data and interact with the socio-technical infrastructures that enable their circulation. This is especially relevant, since these are often complex, proprietary and opaque. For this purpose, we want to test and refine research approaches that enable the study of technological practices and infrastructures. This can involve configurations of digital methods and ethnographically informed traditions bridging media studies, science and technology studies (STS), informatics, and anthropology.
* Can we develop an approach to ‘software ethnography’, which traces and explores assemblages of data, infrastructures, technology designers and technology users?
* How can we learn how (big) data infrastructures actually function and are used in practice?
* Technology is always changing. How can we trace changes to the socio-technical infrastructures of tools over time?
* How can new software tools help us understand the workings of different kinds of data infrastructures? Can we develop tools to reverse-engineer algorithms, analytic techniques, or surveillance infrastructures?

*Format*
Participants will work 4 days in self-organised groups on a project to explore these questions, together with several invited subject matter experts.

*Output*
Outputs can include short research reports (wiki’s) describing process and results, tool prototypes, or creative interventions.

For questions, please contact info@data-activism.net