Strategies for Optimizing Policy Outcomes through Machine Learning: A Case Study on Korean R&D Project Assessment
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Keywords
artificial intelligence; AI; machine larning (ML); patterns; data; data analysis; pattern recognition; neural networks; industrial policy; policy design; Korea;All these keywords.
JEL classification:
- E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
- E69 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Other
- I28 - Health, Education, and Welfare - - Education - - - Government Policy
- L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
- L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
- L88 - Industrial Organization - - Industry Studies: Services - - - Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2023-12-04 (Artificial Intelligence)
- NEP-BIG-2023-12-04 (Big Data)
- NEP-CMP-2023-12-04 (Computational Economics)
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