An Invisible Hand for Creating Public Value From Data
Name
g8lwayxi1qqqseykbx9id8v8uut24me7.pdf
Description
Published version
Size
1.21 MB
Format
Adobe PDF
Checksum (MD5)
98f959079e305611ff7a7703864ed9a6
Author(s)
Lane, Julia
Spector, Alfred
Stebbins, Michael
Date Issued
April 2, 2024
Journal
Harvard Data Science Review
Publisher
MIT Press
Citation
Lane, J., Spector, A., & Stebbins, M. (2024). An Invisible Hand for Creating Public Value From Data . Harvard Data Science Review, (Special Issue 4).
Version
Final published version
Abstract
In this article we describe how data usage statistics could be designed to reward the contributions of both researchers and government agencies, functionally creating a carrot that rewards engagement. We provide a concrete use case—the Democratizing Data pilot project—and discuss how the results could be used to develop a community-driven incentive structure, or an ‘invisible hand,’ to generate better evidence for policymakers and lower costs for the taxpayer. We also note the potential to extend the approach and platform to other data-driven initiatives, notably investments in artificial intelligence.
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1162/99608f92.03719804
