.png){kind=icon}
Return
Beyond prediction: Using big data for policy problems
.png){kind=icon}
PRE
AI
DOI：10.1126/science.aal4321.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities. However, there are a number of gaps between making a prediction and making a decision, and underlying assumptions need to be understood in order to optimize data-driven decision-making.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
45.8
Papers:
1.4W
Citations:
78.6W
Organization
Cited Papers
ShareSaveShareSaveShareSaveShareSaveCONSUMER HETEROGENEITY AND PAID SEARCH EFFECTIVENESS: A LARGE-SCALE FIELD EXPERIMENT.png)
ECONOMETRICA
OAAI
ECONOMETRICAIF7.1
OAAIShareSaveCities Are Physical Too: Using Computer Vision to Measure the Quality and Impact of Urban AppearanceAMERICAN ECONOMIC REVIEWOAAI
AMERICAN ECONOMIC REVIEWIF11.6
OAAIShareSaveShareSave
View more