Mapping Consciousness Science: A Big Data Analysis

Explore a 21-minute conference talk from the Models of Consciousness Conferences that delves into a comprehensive big data analysis of consciousness science research. Learn how researchers analyzed over 60,000 papers to map the relationships and interconnections between different approaches in consciousness studies. Discover insights into the multiple explanandum problem, which suggests various models of consciousness have distinct explanatory objectives. Examine findings from state-of-the-art language model analysis of research paper abstracts, revealing how different theoretical strands relate to each other. Understand the challenges of interdisciplinary integration in consciousness science, as the analysis uncovers research clusters that remain relatively isolated from the main field despite claims of cross-disciplinary exchange.