Speaker
Description
In this talk, I will examine the challenges and responsibilities of building and sustaining public research infrastructures in an age increasingly shaped by automated reasoning, large language models, and data-driven knowledge production. I will advocate for a critical, infrastructural approach that emphasizes transparency, reproducibility, and epistemic pluralism while resisting the pressure to compress humanistic inquiry into the logic of computational efficiency. At a time when algorithms can generate entirely plausible texts or identify patterns faster than any human, the humanistic approach to research — with its emphasis on context, critical interpretation and ethical self-reflection — remains more important than ever. Without transparent tooling, robust workflows, verifiable data provenance, iterative data-enrichment strategies, and a shared consensus on the systemic importance of public infrastructures, we will find it increasingly difficult to distinguish rigorous scholarship from automatically generated, hallucinogenic noise.
