The rise of artificial intelligence (AI), big data processing, and synthetic media has profoundly reshaped how culture is produced, made sense of, and experienced today. To ‘synthesize’ is to assemble, collate, and compile, blending heterogeneous components into something new. Where there is synthesis, there is power at play. Synthetic media—as exemplified by the oddly prophetic early speech synthesizer demos—carry the logic of analog automation into digital cultures where human and algorithmic interventions converge. Much of the research in this area—spanning subjects as diverse as augmented reality, avatars, and deepfakes—has revolved around ideas of simulation, focusing on the manipulation of data and content people produce and consume. Meanwhile, generative AI and deep learning models, while central to debates on artificiality, raise political questions as part of a wider social ecosystem where technology is perpetually reimagined, negotiated, and contested: What images and stories feed the datasets that contemporary AI models are trained on? Which imaginaries are reproduced through AI-driven media technologies and which remain latent? How do synthetic media transform relations of power and visibility, and what methods—perhaps equally synthetic—can we develop to analyze these transformations? 

The five-day event at the University of Siegen—organized by the DFG-funded Collaborative Research Centers Media of Cooperation and Transformations of the Popular together with the Center of Digital Narratives in Bergen, the Digital Culture and Communication Section of ECREA and the German National Research Data Infrastructure Consortium NFDI4Culture—explores the relationship between synthetic media and today’s imaginaries of culture and technology, which incorporate AI as an active participant. By “synthetic,” we refer not simply to the artificial but to how specific practices and ways of knowing take shape through human-machine co-creation. Imaginaries, in turn, reflect shared visions, values, and expectations—shaping not only what technologies do but how they are perceived and made actionable in everyday life. 

The event opens with a one-day conference and moves into hands-on workshops and project work. 

Mix questions! Monday, 8 September

Day one begins with a keynote by Jill Walker Rettberg and opens space for emerging questions—think of it as an idea hub. Accepted abstracts will be grouped into thematic sessions curated by the organising team. Presenters will be connected via email ahead of time to coordinate their contributions. Each presentation will be set to 10 minutes to allow ample time for discussion, collective thinking, and exchange. The emphasis is on dialogue, not polished conclusions.  

Mix methods! Tuesday, 9 September-Thursday, 11 September

The next three days—featuring a workshop by Gabriele De Seta and an artistic intervention by Ángeles Briones and DensityDesign Lab—are about exploring new methods—hands-on! We invite you to join a team of interdisciplinary scholars and data designers in probing new methodological combinations. Each of our project teams will present a research question alongside a specific method to be collaboratively explored. Participants will not only learn how to design prompts and work with AI-generated text and images but also how to critically account for genAI models as platform models. All projects draw on intersectional approaches, combining qualitative and quantitative data to explore the synthetic dimensions of AI agency—whether as content creator, noise generator, hallucinator, research collaborator, data annotator, or style imitator. Please bring your laptops. The project titles will be announced soon. 

Synthesize! Friday, 12 September

The final day is dedicated to sharing, reflecting, and synthesizing the questions, methods, and insights developed throughout the week. Project teams will present their collaborative processes, highlight key takeaways, and discuss how their ideas and approaches shifted through hands-on experimentation with methods.

Registration

The event is free of charge, though attendees are responsible for arranging and covering their travel and accommodation in Siegen. Limited travel support is available (two to three stipends ranging from €500 to €700). Early-career researchers and PhD students are invited to apply; stipends will be awarded by the NFDI4Culture consortium based on the strength of the justification, particularly concerning critical ethical engagement with AI research data, as well as the distance and cost of travel. Short summaries of the presented work will be published on the NFDI4Culture website.

A certificate of participation will be issued for both the conference presentation and the hands-on workshop sessions.

The Registration closed on August 1 2025.

The Autumn School is organized by the DFG-funded Collaborative Research Centers Media of Cooperation (SFB 1187) and Transformations of the Popular (SFB 1472) together with the Center of Digital Narrative in Bergen, the Digital Culture and Communication Section of ECREA and the German National Research Data Infrastructure Consortium NFDI4Culture –