Policy impacts of statistical uncertainty and privacy.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
26 08 2022
Historique:
entrez: 25 8 2022
pubmed: 26 8 2022
medline: 30 8 2022
Statut: ppublish

Résumé

Funding formula reform may help address unequal impacts of uncertainty from data error and privacy protections.

Identifiants

pubmed: 36007047
doi: 10.1126/science.abq4481
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

928-931

Auteurs

Ryan Steed (R)

Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.

Terrance Liu (T)

School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Zhiwei Steven Wu (ZS)

School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

Alessandro Acquisti (A)

Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.

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Classifications MeSH