A view from data science

Datos Bibliográficos

ID5260705
AutoresAnna Sapienza (0000-0002-0842-7987, University of Copenhagen, autor de correspondencia), Lehmann (0000-0001-6099-2345, Technical University of Denmark)
Año2021
Volumen8
Número2
Fecha de publicación2021-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBig Data & Society (JOURNAL)
Identificadores de la revistaISSN: 2053-9517 • E-ISSN: 2053-9517
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/20539517211040198
OpenAlexW3200109820
IdiomaEN
Citas recibidas2
Referencias citadas13

For better and worse, our world has been transformed by Big Data. To understand digital traces generated by individuals, we need to design multidisciplinary approaches that combine social and data science. Data and social scientists face the challenge of effectively building upon each other's approaches to overcome the limitations inherent in each side. Here, we offer a "data science perspective" on the challenges that arise when working to establish this interdisciplinary environment. We discuss how we perceive the differences and commonalities of the questions we ask to understand digital behaviors (including how we answer them), and how our methods may complement each other. Finally, we describe what a path toward common ground between these fields looks like when viewed from data science

Ask price · Big data · Citizen science · Cyberinfrastructure · Data mining · Data science · Multidisciplinary approach · Social science · Sociology · Complex Network Analysis Techniques · Computer Science · Data-Driven Disease Surveillance · Human Mobility and Location-Based Analysis · Artificial Intelligence