Can we use qualitative data in machine learning pipelines?
For #EHBEA2026, I prepared an abstract summarizing a few ideas about technical and epistemic prerequists. We claim that a) yes, it can be useful to integrate expert knowledge (example: reducing search space, and yes, this is no new sauce)
b) automatic extraction of said knowledge necessitates a closer view on what qualitative data is and how it is usually created --->

Many thanks to the amazing panellists at #ehbea2025 Stand Up For Science panel: Louis Bachaud, David Coall, Reuben Fakoya-Brooks, Ula Marcinkowska & @abbeyepage.bsky.social. Had nothing but positive feedback & more ideas from attendees, & #ehbea2026 organisers are interested in a follow-up session

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Dates for your 2026 diary 👇 #ehbea2026 in Leiden 😊

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#ehbea2025 attendees: not only will there be a Stand Up For Science panel discussion to end the day at 17:10, but you’ll also get to find out where #ehbea2026 will be held AND hear about the @ptnce.bsky.social 2025 conference.

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