Dr Janna Joceli Omena participated in the 3-day conference “Generative Methods — AI as Collaborator and Companion in the Social Sciences and Humanities” held at Aalborg University in Copenhagen, which aimed to explore the multifaceted impact of generative AI as both instruments and objects of research.  

Dr Omena’s contribution, the AI Methodology Map, is a pedagogical device designed to structure, visually represent, and explore Generative AI Applications for digital methods-led research. Her research is part of the project “Designing With“* and involves collaboration with co-authors from interdisciplinary backgrounds, including Massimo Botta, Antonella Autuori, Matteo Subet, and Ginevra Terenghi from the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), and Eduardo Leite from NOVA University Lisbon. Dr. Omena introduced the map in her presentation, outlining its methods, components, and interactive teaching resources. She illustrated how the map bridges concepts such as technicity and generative AI, demonstrating its practical applications by operationalising five educational entry points within the map. To conclude, Dr Omena showcased the workflow of the AI Methodology Map, providing insight into its application through a case study on algorithmic race stereotypes using network vision methods.

Chair: Kristine Bundgaard I Room 3.084a

AI Methodology Map. Bridging Concepts, Technicity, and Applications
Janna Joceli Omena & Eduardo Leite, University of Warwick; NOVA University Lisbon; Massimo Botta, Antonella Autuori, Matteo Subet & Ginevra Terenghi, University of Applied Sciences and Arts of Southern Switzerland (SUPSI)

Generative controversy mapping? Lessons from digital methods
Anders Kristian Munk, University of Aalborg

Prompt Compass: A Methodological Approach to Evaluating the Use of Large Language Models in SSH research
Erik Borra, University of Amsterdam

Exploring LLM self-consistency as confidence to build digital methods tools
Mathieu Jacomy, Aalborg University; Emillie de Keulenaar, University of Groningen; Erik Borra, UvA; Andrea Benedetti, Politecnico di Milano; Bernhard Rieder, UvA; Jelke Bloem, UvA; Sarah Burkhardt, UvA

A Feeling for the (Neural) Organism: What’s so Statistical About Generative LLMs?
Michael Castelle, University of Warwick

To read the abstract by Omena et al. or songified abstracts transformed by generative AI methods, visit this link: https://aau-generative-methods.vercel.app/. Below, you can explore the presentations and discover the authors who participated in the ‘Seeing Like a Model’ section, along with the complete conference program, by visiting this link: https://www.en.ssh.aau.dk/conference-generative-methods-e78062#ee4d31a4-d59b-44e6-9b35-88bf6bdbfe5d 

*Designing With. A New Educational Module to Integrate ML, AI, and DV in Design Curricula, 2022-2024. Project Partners: SUPSI (project coordination), EPFL and NOVA. © 2022. This project is licensed under CC BY 4.0. Supported by Movetia

This project is financially supported by Movetia. Movetia promotes exchange, mobility and cooperation within the fields of education, training and youth work – in Switzerland, Europe and worldwide. www.movetia.ch