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Ben Berners-Lee

Doctoral Student, Interdisciplinary program in Cognitive Science

I study how scientists, engineers and technology users conceptualize and communicate about cognition and activity. This includes semiotic analysis and ethnographic observation of discourses and practices in the mind and brain sciences. My dissertation research focuses on mobile applications and machine learning systems that track activity and offer users recommendations for improving their mental health. I am particularly interested in how psychiatric scientists and clinicians explain machine learning models and their outputs to colleagues, patients and participants.
  • Berners‐Lee, B. (2023). Reconciling healthism and techno‐solutionism: An observational study of a digital mental health trial. Sociology of Health & Illness, 1467-9566.13683. doi.org/10.1111/1467-9566.13683
  • Berners-Lee, B. (2023). The semiotics of digital cartography at the Geoguessr interface: A practice-oriented case study. New Media & Society, 14614448231160132. doi.org/10.1177/14614448231160132
  • Berners-Lee, B. (2022). Accommodating representation in the neuroscience of memory: A conceptual blending analysis of replay and preplay in hippocampal place cell research. Cognitive Semiotics, 15(2), 175–196. doi.org/10.1515/cogsem-2022-2015