Mapping Drug Effects From Online Reports: A Systematic Analysis Using Natural Language Processing

Monday, December 17, 18:15 - 19:45, University of Zurich, KOL-H-312

Raphaël Millière, PhD Candidate
Department of Philosophy, University of Oxford

In this talk, I will present a new quantitative analysis of the largest corpus of narrative reports of drug-induced states (more than 15,000 reports) performed in collaboration with Hannes Kettner (Imperial College London). Using Natural Language Processing algorithms, we have mapped out the state-space of subjective effects produced by hundreds of psychoactive drugs, and analysed specific categories of effects (e.g. bodily effects, visual effects, auditory effects, emotional effects, cognitive effects, effects on self-consciousness). I will argue that our results can not only enrich our understanding of the effects of well-known psychoactive drugs (beyond the limitations of questionnaires), but also shed light on novel drugs that can be used in controlled environements to investigate the neural correlates of specific conscious contents.