Professor of Interdisciplinary Data Collaborations, School of Culture and Society, Joe Dumit will visit and host a workshop.

The workshop is designed for anyone who has way too much text (or audio) data to deal with and is interested in exploring additional means of provocative encounters with it. Those who have large amounts of interviews, fieldnotes, documents, qualitative surveys, etc. are especially encouraged. You do not need to know anything about AI. 

The aim is to share some ongoing work developing workflows that combine Large Language Modes (LLMs like ChatGPT, DeepSeek, Claude, Gemini, Grok) with large corpuses of texts to create ways to send prompts that retrieve potentially important paragraphs of the texts and share them back to you in the form of synthetic coherent-sounding responses. BUT with the additional benefit of footnotes that take you directly back to the paragraph in the document it came from. Ideally this allows you to find paragraphs you had forgotten about, didn’t know existed, or hadn’t thought about seeing connected to your current prompt interest. Even if you have 500 or 5000 or 50,000 interviews and documents.

Ways of doing this exist right now. See NotebookLM for example. Yet their interfaces are intriguing but often annoying. They were not designed with you and your data and your process and your desires in mind. This workshop is to learn about and imagine what those interfaces might look like.

Registration is need: events.au.dk/workshopwithjoedumit 

There will be coffee, the and a vegetarian sandwich.