Datafication of Expert Knowledge and AI for the Humanities and Social Sciences.
Intelligent digital technologies are reshaping the paradigms of knowledge production, with AI for the humanities and social sciences (AI for HSS) emerging as a key direction for future development. High-quality data is a prerequisite for this evolution. One path toward generating such data is datafi...
| Published in: | Social Sciences in China Vol. 47; no. 1; pp. 53 - 70 |
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| Main Authors: | , , , |
| Format: | Article |
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Taylor & Francis Ltd
Feb2026
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=194489827&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 194489827 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 02529203 1XQ4 jtl: Social Sciences in China issn: 02529203 maglogo: N pubinfo: dt: Feb2026 vid: 47 iid: 1 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 194489827 10.1080/02529203.2026.2673704 ppf: 53 ppct: 17 formats: tig: atl: Datafication of Expert Knowledge and AI for the Humanities and Social Sciences. aug: au: Zeqi, Qiu Haolin, Li Pingwen, Zhang Tianyu, Qiao affil: Center for Sociological Research and Development Studies of China, Peking University School of Law, University of International Business and Economics School of Artificial Intelligence, Wuhan University Department of Sociology, Peking University su: Artificial intelligence Social scientists Humanities education Knowledge acquisition (Expert systems) Epistemics Data conversion Legal education sug: subj: Artificial intelligence Social scientists Humanities education Knowledge acquisition (Expert systems) Epistemics Data conversion Legal education keyword: AI for the humanities and social sciences data annotation datafication of expert knowledge legal field AI for the humanities and social sciences data annotation datafication of expert knowledge legal field ab: Intelligent digital technologies are reshaping the paradigms of knowledge production, with AI for the humanities and social sciences (AI for HSS) emerging as a key direction for future development. High-quality data is a prerequisite for this evolution. One path toward generating such data is datafication of accumulated human knowledge. Here, expert knowledge, characterized by its iterative refinement, condensed form, and specialized structure, is especially valuable due to its innovative potential. Within the humanities and social sciences, legal expert knowledge is particularly representative. Using law as a case study, datafication of expert knowledge can follow a "three-step" approach: delineating the scope of expert knowledge, reconstructing its internal structure, and designing technological pathways for its transformation. This model is broadly applicable and helps consolidate the data foundations of AI for HSS, while also marking a solid step toward a new paradigm in HSS knowledge production. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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