Decision science plays an important role in public policy. It provides a systematic framework for policymakers to analyze complex issues, evaluate potential solutions, and make evidence-based decisions. Decision science is an interdisciplinary subject that incorporates such as psychology, economics, statistics, and operations research to enhance the quality and effectiveness of strategies and decisions. By using decision science methodologies, policymakers can better understand the different challenges of society, anticipate the consequences of various policy options, and optimize resource allocation to achieve desired outcomes. Moreover, decision science allows policymakers to incorporate different social elements, such as stakeholder perspectives and social values into the policymaking process, which improves transparency and accountability of the policy implemented. Through the application of decision science, policymakers can address social issues with greater precision and effectiveness, such as healthcare reform, environmental sustainability, economic development, and social equity. Ultimately, decision science leads to more informed and impactful policy decisions that benefit the well-being of individuals and communities.
Researchers are encouraged to submit both original research and review articles for this special issue on the use of decision sciences in public policy, especially in the Asia Pacific region. The potential topics of this special issue include, but are not limited to:
Cost-benefit analysis
Data-driven policymaking
ESG investment
Green finance
Productivity and efficiency
Risk assessment and management
Sustainable development
Other topics related to decision science in public policy
Submission Deadline: September 30, 2025
Guest Editors:
Prof. Sung Ko LI (Hong Kong Shue Yan University, Hong Kong, China)
Weblink: https://ef.hksyu.edu/about-us/staff-list/detail/li-sung-Ko
Dr. David Kai Du (University of Wollongong, Australia)