SIPS 2025 Budapest

Integrating artificial intelligence (AI) in qualitative research offers academic scholars a variety of opportunities and challenges. AI can streamline qualitative analysis by using natural language processing and machine learning. However, ethical considerations such as AI bias, privacy, (lack of) theoretical underpinnings, and preservation of human-centered analysis demand critical examination.
This hackathon invites researchers from all stages to collaboratively explore the role of AI in advancing qualitative methodologies. We aim to produce a paper that identifies AI’s capabilities and limitations within qualitative research, emphasizing the impact on methodological rigor and data integrity. Through this collaboration, we will identify the implications of and propose strategies for ethical AI use in qualitative research. We will discuss usage of open science practices to investigate AI in qualitative research. By fostering interdisciplinary dialogue and critical collaboration, this hackathon seeks to shape the future of ethical and rigorous AI integration in qualitative research methodologies.

In this unconference, we start with an informal debate about the role of financial profit in science. We make arguments for and against financial as well as other profits, and envision possible futures with and without publishers. We invite the participants to share their critical and positive views about the economic system of science — not in the spirit of teaming up against corporate academic stakeholders, but pragmatically looking at what is (and historically has been) im/possible. We don't know what will happen in the unconference, beyond this general outline. We expect people to share unexpected views, and we prepare a list of difficult questions, for example, related to volunteer labor that goes into current initiatives such as registered reports and non-profit platforms.