Anthropology by Data Science

Dados Bibliográficos

ID2289757
AutoresStephen Paff (0000-0003-3610-7988, autor correspondente)
Ano2022
Volume46
Fascículo1
Páginas7-18
Data de publicação2022-05-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAnnals of Anthropological Practice (BOOK_SERIES)
Identificadores do periódicoISSN: 2153-957X • E-ISSN: 2153-9588
EditoraWiley (PUBLISHER • GB)
DOI10.1111/napa.12169
OpenAlexW4200416124
IdiomaEN
Citações recebidas5
Referências citadas21

This essay explores how to broaden the scope of what constitutes anthropological and ethnographic research by cross-fertilizing with data science. I discuss four types of relationships anthropologists have sought to foster with data science: anthropology of data science, anthropology over data science, anthropology with data science, and, the least developed of the four, anthropology by data science. Data science as a field has cultivated abductive, bottom-up forms of quantitative research, which provide useful quantitative parallels to similarly abductive, bottom-up qualitative techniques in ethnographic research. Anthropologists should adopt an anthropology by data science perspective through incorporating machine-learning and other data science techniques into anthropological research. Nick Seaver's concept of bastard disciplines and methodologies provides a helpful framework for such work. [data science, machine learning, ethnography, anthropology

Applied anthropology · Epistemology · Ethnography · Field (mathematics · Parallels · Perspective (graphical · Scope (computer science · Sociocultural anthropology · Sociology · Anthropological Studies and Insights · Anthropology · Computational and Text Analysis Methods · Computer Science · Philosophy · Race, Genetics, and Society · Artificial Intelligence

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