วิทยาศาสตร์ข้อมูลเพื่อการขับเคลื่อนนโยบายสาธารณะ

Nunta  Bootnoi; Suthira   Suthira Thipwiwatpotjana; Chamaiporn Kanjanapan; Pitoon  Kanjanapan

Authors

Nunta Bootnoi Faculty of Management Sciences Lampang Rajaphat University, Thailand
Suthira Suthira Thipwiwatpotjana Faculty of Management Sciences Lampang Rajaphat University, Thailand
Chamaiporn Kanjanapan Faculty of Management Sciences Lampang Rajaphat University, Thailand
Pitoon Kanjanapan Faculty of Management Sciences Lampang Rajaphat University, Thailand

Keywords:

Data Science, Public Policy, Driving Public Policy

Abstract

This article presents a study of the application of data science for driving public policy under the enormous and highly complex 21st-century data landscape known as “Big Data.” Data science is an interdisciplinary field that combines advanced mathematics and statistics, computer science, and specialized knowledge expertise to process and analyze data for using data benefit on a broader scope. Implementing data science for driving public policy processes aims to create quality and timely information for public administration and services, such as health care, education, transportation, utilities, and safety, as well as succor to disadvantaged social groups in order to treat all citizens equally. Data science allows increasing the government’s ability to adequately and precisely access information for more efficient and effective policy formulation. It also responds to the increasing needs of people in government for information utilization and disclosure and for government transparency, which is a crucial element in successful public policy

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Data Science for Driving Public Policy

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