Aktuelle und vergangene Arbeitsgemeinschaften
Aktuelle Arbeitsgemeinschaften
How do we ensure that the use of AI for Holocaust memory and education is critically informed? How can AI models be used to enhance the memorialisation and pedagogical aims of the Holocaust memory and heritage sector? Whilst there is an emerging body of theoretical literature on this topic, there still remains a dearth of empirical answers. Our working group brings together an interdisciplinary group of academics, from the cognitive and communication sciences, and humanities, and memory practitioners to explore these urgent questions. We will use a design-led research methodology and be influenced by the development of working papers to adopt a mixed-method approach combining arts and science methodologies.
This project addresses the transformations reshaping academic publishing in the digital age. Driven by technological advancements, particularly digitalisation, datafication and artificial intelligence (AI), the scholarly literature is evolving from a collection of research accounts into a data-driven resource.
This century has been the deadliest for journalists while the working environment of conflict reporting has expanded to include civil protests, environmental crisis aftermaths, online harassment, and state surveillance, among other arenas. Rapidly-evolving sociopolitical and technological elements further exacerbate journalists‘ increased vulnerability. Our study seeks to understand the evolving nature of conflict reporting through the lenses of technological transformation and expanding conflict environments.
PolarNar will explore the power of polarizing visual narratives. In our highly visual society polarization is often developed by and through images. Images that support and propagate specific narratives about politics, identity or climate. Building on an extensive dataset of European social media visual content, PolarNar will investigate how activists and political actors visually represent issues connected with the climate debate and what role these visual narratives play in the existing polarization around the topic.
In 2022, the European Union (EU) underscored the need to build synergies between digital and green transitions – two paradigmatic shifts proposed lately in response to global economic and environmental challenges (Joint Research Centre, 2022). The working group aims to address the conceptual groundwork required for critically interfacing the two transitions. The key goal of the working group is to build a shared conceptual vocabulary from an anthropological perspective, while borrowing from other allied disciplines, to address the challenges and possibilities of thinking these processes together.
As generative AI transforms how news is produced and consumed, traditional skills – like evaluating sources and detecting bias – must evolve. This project investigates how generative AI is reshaping critical thinking, particularly in journalism, media studies, and education.
In 2024, the EU adopted the AI Act, a new set of rules for trustworthy artificial intelligence. The AI Act relies on standardisation, a regulatory technique that consists in crafting so-called harmonised technical standards, to facilitate legal compliance by the AI industry. While technical standards have been used in the past for ensuring product safety, for the first time standardisation aims to foster „human-centred“ AI in compliance with fundamental rights. Our working group explores how standardisation processes shape and stabilise notions of justice in the algorithmic society.
To answer this, we bring together scholars from law, philosophy, STS, critical algorithm studies and computer science. We study the work of EU standardisation bodies, examining how technical experts translate complex issues like bias, fairness, and fundamental rights into measurable norms and procedures.
Vergangene Arbeitsgemeinschaften
“A Day in the Life of Metadata” is a multi-disciplinary collaboration between a social scientist at the Surveillance Studies Centre and computer engineers at the Centre for Advanced Computing.
This research group studies the phenomenon of automated engagement on Instagram and Tumblr as an ensemble of software affordances, human interests and techniques of mediation.
Um Digitalisierung zu begreifen, muss diese transdisziplinär gedacht und erforscht werden. Wie? Die Mitglieder der AG halten es mehrheitlich für vergleichsweise aussichtsreich, sie in kultur-, sozial- und technikphilosophischer Perspektive als eine Fülle von kulturellen Prozessen zu thematisieren.
Digitalisierung in kultur-, sozial- und technikphilosophischer Perspektive wird zuerst und maßgeblich als eine Fülle von kulturellen Prozessen thematisiert, um von vornherein technozentrischen Blickverengungen zu entgehen.
Mit der Verbreitung des World Wide Webs und dem Aufkommen leicht zu bedienender Social-Web-Anwendungen verbinden sich Chancen und Risiken.
Digital technologies are the outcomes of social processes and in turn they continuously transform our societies in fundamental ways.
Instead of Google gathering data on users, „1n(tr0)verted Data: Ecologies and Economies of Google Search“ will ‚invert‘ search technologies by collecting data on Google Search.
In this working group we focus on Facebook’s data sharing practices as enabled by APIs to trace the platform’s responsiveness in relation to data and privacy controversies.