会议主题(Theme)

受亚太运筹学会联合会委托，中国运筹学会将在华召开第十四届APORS国际大会，会议主题为“数据科学中的运筹学（OR in Data Science）”.征集论文和报告内容包括最优化理论和方法在数据科学中的应用，涉及人工智能、智能制造、智能电网、全球物流、城市管理和交通运输、智能通信和应急管理等前沿问题、以及生物信息等方面的应用研究等。

In recent years, there has been an exponential growth in the field of scientific computing and deep (machine) learning. Both areas have seen tremendous advances that have greatly impacted a wide range of applications in areas such as biology, physics, engineering, and finance, to name a few. Despite this, there is still a gap between the two fields, as researchers in each field may not fully understand the tools, techniques, and methods of the other. It is crucial for researchers and practitioners in both fields to stay up to date with the latest developments and best methods in these areas. This workshop aims to bring together experts from both scientific computing and deep learning to discuss the latest developments and innovations in each field and to explore potential areas of collaboration. The workshop will provide a platform for attendees to learn about the latest techniques, tools, and applications in scientific computing and deep learning, as well as to engage in discussions and networking opportunities with their peers.

举办意义(Significance)

亚太运筹学会联合会（the Association of Asia-Pacific Operations Research Societies, APORS）是国际运筹学联合会（International Federation of Operational Research Societies, IFORS http://www.ifors.org）的区域组织.中国运筹学会于1982年加入国际运筹学联合会，成为正式会员国。IFORS致力于推动运筹学的发展和应用，促进运筹学科的发展，并为各国在提高管理水平，推动运筹学在可持续发展中的应用。亚太运筹学会联合会APORS由13个亚太地区国家（包括香港地区）的运筹学会组成，包括中国、日本、韩国、新加坡、香港、印度、印度尼西亚、菲律宾、马来西亚、伊朗、尼泊尔、澳大利亚和新西兰，是亚太地区国家运筹学会组成的联盟，我国是发起国之一，戴彧虹研究员是现任APORS主席。

会议规模约为150-200人，境外学者50-70人以内。会议的内容是交流运筹学特别是数学优化的研究及其应用成果，使参会代表对运筹学及相关学科的国际前沿研究热点和动向有更加深入的了解，促进国际同行之间的交流与合作。会议一直是亚太运筹学会联合会（APORS）国家学者积极参与的重要国际学术活动之一。