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my research focuses on the collective system of thinking and knowing, ranging from the distribution of attention and intuition, the origin of ideas and shared habits of reasoning to processes of agreement (and dispute), accumulation of certainty (and doubt), and the texture—novelty, ambiguity, topology—of understanding. I am especially interested in innovation—how new ideas and practices emerge—and the role that social and technical institutions (e.g., the Internet, markets, collaborations) play in collective cognition and discovery. Much of my work has focused on areas of modern science and technology, but I am also interested in other domains of knowledge—news, law, religion, gossip, hunches, machine and historical modes of thinking and knowing. I support the creation of novel observatories for human understanding and action through crowd sourcing, information extraction from text and images, and the use of distributed sensors (e.g., RFID tags, cell phones). I use machine learning, generative modeling, social and semantic network representations to explore knowledge processes, scale up interpretive and field-methods, and create alternatives to current discovery regimes.
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The Behavioral and brain sciences (2024): e65-e65
RESEARCH POLICYno. 2 (2024): 104911
BEHAVIORAL AND BRAIN SCIENCES (2024)
BEHAVIORAL AND BRAIN SCIENCES (2024)
BEHAVIORAL AND BRAIN SCIENCES (2024)
Humanities and Social Sciences Communicationsno. 1 (2024): 1-12
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAno. 6 (2024): e2306549121-e2306549121
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparencypp.183-192, (2023)
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