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Understanding Science with Large Language Models?: Potentials for the History, Philosophy, and Sociology of Science

Contributor(s): Simons, Arno (Editor), Wüthrich, Adrian (Editor), Zichert, Michael (Editor), Graßhoff, Gerd (Editor)

ISBN: 9783837679946

Publisher: Transcript Publishing

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Pub Date: June 30, 2026

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.00" H x 0.00" L x 0.00" W ( 0.00 lbs) 522 pages

Series: Science Studies

Descriptions, Reviews, etc.

Description: How do LLMs change research about science, and create new insights and challenges for the humanities, social sciences, and AI?

Brief description:

Arno Simons is a postdoctoral researcher at Humboldt-Universität zu Berlin and a member of the project Network Epistemology in Practice (NEPI). With a background in the history, philosophy, and sociology of science, he studies how scientists interact with one another, policymakers, journalists, and the wider public. His research combines qualitative methods with computational approaches, including current work on large language models as tools for HPSS. He is also known for contributions to the study of policy instrument constituencies, environmental governance, and biomedical translation.

Review Quotes: »This volume exemplifies why collaborations between disciplines matter. Computer science develops powerful tools like LLMs, and HPSS explores the depth of their uses, limits, and broader consequences. The book offers unique insights into what can be accomplished when both engage with others as AI continues to reshape scholarship and society.«-- "Martin Potthast, Universität Kassel, and Benno Stein, Bauhaus-Universität Weimar"

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