哥伦比亚大学决策科学中心（CDS）是一种资源，结合管理学、经济学、心理学等领域的理论和方法，指定评估决策的标准并提供实现最佳结果的算法，关注人们如何实际做出决定。
中心鼓励哥伦比亚大学商学院多个部门和学科的研究人员之间的对话与合作，并促进与行业专家和公共政策制定者的对话和研究转移，目标是产生和促进与现实世界决策者的需求相关的跨学科基础研究。
哥伦比亚大学商学院的决策科学中心（CDS）以前是社会和经济研究与政策研究所（ISERP）的一部分，是环境决策研究中心（CRED）的合作伙伴。中心具有双重教育和研究目的，为研究生和博士后研究员提供决策科学方面的交叉培训；将来自不同部门和学校的研究人员聚集在一起，致力于需要跨学科专业知识的研究问题。
中心研究焦点包括但不限于统计决策理论、比较司法系统的微观基础、经济学和政治科学中的理性预期、技术变革和决策过程的重组以及概率预测（例如气候变异性）对决策算法的影响。该中心为研究人员提供各种协助，包括研究设计，数据采集和数据分析方面的建议。
Columbia University's Center for Decision Sciences (CDS) is a resource that focuses on how people actually make decisions by specifying criteria for evaluating decisions and providing algorithms for achieving the best outcomes, combining theories and methods from management, economics, psychology, and other fields.
The Center encourages dialogue and collaboration among researchers across multiple departments and disciplines at Columbia Business School, and promotes dialogue and research transfer with industry experts and public policy makers, with the goal of generating and facilitating interdisciplinary basic research relevant to the needs of real-world decision makers.
Columbia Business School's Center for Decision Sciences (CDS), formerly part of the Institute for Social and Economic Research and Policy (ISERP), is a partner of the Center for the Study of Environmental Decision Making (CRED). The Centre has a dual educational and research purpose, providing cross-training in decision science for graduate students and postdoctoral fellows; Bringing together researchers from different departments and schools to work on research questions that require interdisciplinary expertise.
Central research focuses include, but are not limited to, statistical decision theory, the microfoundations of comparative judicial systems, rational expectations in economics and political science, technological change and restructuring of decision-making processes, and the impact of probabilistic predictions (e.g., climate variability) on decision-making algorithms. The Center provides a variety of assistance to researchers, including advice on study design, data acquisition and data analysis.