Promote the development of decision science and its theoretical foundations and applications, including but not limited to areas such as decision theory, multiple criteria decision making (MCDM), decision support systems (DSS), behavioral decision making, uncertainty modeling, and computational approaches to decision analysis.
Promote decision science as an accessible and practical discipline for all, and as a foundational tool across diverse scientific fields.
Foster the development of decision science as an interdisciplinary knowledge domain that supports and integrates with other scientific disciplines.
Organize international conferences, congresses, seminars, workshops, and scholarly dialogues to promote the exchange of ideas, innovations, and practices related to decision science and its applications.
Promote the integration of decision science into public policy and strategic planning by engaging with policymakers, government agencies, and non-governmental organizations to enhance evidence-based decision-making in complex societal issues.
Strengthen partnerships with industry and the private sector by encouraging the application of decision science in business analytics, operations, innovation, and strategic management.
Foster high-quality academic collaboration in decision analysis and systems thinking.
Support applied and interdisciplinary research, especially in public policy and industry.
Facilitate the exchange of knowledge among researchers, educators, students, and practitioners.
Encourage student and early-career engagement in the field of decision science.