{"schemaVersion":12,"canonical":"https://cufe-digital-finance-center.vercel.app/research-index.json","organization":{"id":"https://cufe-digital-finance-center.vercel.app/#organization","type":"ResearchOrganization","name":"中央财经大学人工智能与数字财经研究中心","nameEn":"CUFE Institute for AI & Digital Finance","alternateNames":["CUFE AI²F","CUFE AI2F","中央财经大学数字财经研究中心","数字财经研究中心"],"url":"https://cufe-digital-finance-center.vercel.app/","aboutUrl":"https://cufe-digital-finance-center.vercel.app/about","description":"中央财经大学人工智能与数字财经研究中心设于中央财经大学国家财经战略研究院，由数字财经研究中心更名而来。中心的工作沿数字金融、可持续发展与智能技术的交叉脉络展开。","descriptionEn":"The CUFE Institute for AI & Digital Finance is based at CUFE’s National Academy of Finance and Economic Strategy and was renamed from the Digital Finance Research Center. Its work has developed at the intersection of digital finance, sustainability and intelligent technologies.","verifiedAsOf":"2026-05-18","formerNames":["中央财经大学数字财经研究中心","数字财经研究中心"],"workForms":[{"name":"研究项目","nameEn":"Research projects"},{"name":"专业工具","nameEn":"Professional tools"},{"name":"公共交流","nameEn":"Public exchange"}],"institutionalHistory":[{"year":"2019","name":"可持续数字金融进入公开讨论","nameEn":"Sustainable digital finance enters public discussion","description":"中央财经大学举办可持续数字金融研讨会，学界、监管机构与产业界共同讨论绿色金融、数字技术与消费者行为。","descriptionEn":"CUFE convened academic, regulatory and industry participants to discuss green finance, digital technology and consumer behaviour.","relatedMaterial":[{"url":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019","name":"研讨会记录","nameEn":"Seminar record"}]},{"year":"2021","name":"从研究走向政策实践与国际交流","nameEn":"From research to policy practice and international exchange","description":"数字财经研究中心参与海南自由贸易港金融发展规划研究，并参与联合国工业发展组织绿色产业平台碳中和企业家研修计划。","descriptionEn":"The Center contributed to research for Hainan’s financial development plan and to a carbon-neutrality programme of the UNIDO Green Industry Platform.","relatedMaterial":[{"url":"https://cufe-digital-finance-center.vercel.app/news/hainan-financial-plan-adoption-2021","name":"规划研究","nameEn":"Planning research"},{"url":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021","name":"国际课程","nameEn":"International programme"}]},{"year":"2022","name":"数字货币与绿色消费获国家社科基金支持","nameEn":"National Social Science Fund support for digital currency and green consumption","description":"“数字货币促进绿色消费长效机制研究”获得国家社科基金一般项目立项，项目批准号为22BJL024。","descriptionEn":"A project on the mechanisms linking digital currency and green consumption received National Social Science Fund support under project 22BJL024.","relatedMaterial":[{"url":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022","name":"项目记录","nameEn":"Project record"}]},{"year":"2024","name":"形成“研究—工具”协同路径","nameEn":"Build a research-to-tool cooperation path","description":"围绕数字财经与AI结合的关键议题，中心在研究设计、方法固化与场景复用之间建立了更清晰的协同机制。","descriptionEn":"The Center built a clearer collaboration mechanism across research design, methodology standardization, and reusable scenario implementation for digital finance and AI topics.","relatedMaterial":[]},{"year":"2025","name":"专业知识进入智能体系统","nameEn":"Specialist knowledge enters agent systems","description":"龙马书卷专家智能体和龙马ESG大模型知识库发布，将数据资产、碳金融、ESG与财务风控等专业知识纳入可检索、可更新的技术系统；同期推出专家级智能体教育平台，使经管专业学生无需编程背景即可完成智能体调优与知识库构建。","descriptionEn":"Longma Shujuan and the Longma ESG knowledge base brought specialist material on data assets, carbon finance, ESG and financial risk into updateable retrieval systems, alongside a specialist agent education platform enabling finance and management students without programming backgrounds to tune agents and build knowledge bases.","relatedMaterial":[{"url":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025","name":"龙马书卷","nameEn":"Longma Shujuan"},{"url":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","name":"ESG专业智能体","nameEn":"ESG specialist agent"},{"url":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025","name":"智能体教育平台","nameEn":"Agent education platform"}]},{"year":"2026","name":"研究成果获国家资质认定与竞赛验证","nameEn":"Research outcomes gain national certification and competition validation","description":"团队产业化平台通过国家高新技术企业认定，财经专家智能体平台完成生成式算法备案，团队在科大讯飞AI开发者大赛金融风控赛道获得亚军，标志学术研究向可核验、可持续运营的技术能力转化。","descriptionEn":"The team’s industry platform received National High-Tech Enterprise certification, its specialist agent platform completed generative-algorithm registration, and the team placed runner-up in an iFLYTEK AI developer competition’s financial risk-control track — milestones marking the transfer of academic research into verifiable, sustainably operated technical capability.","relatedMaterial":[{"url":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026","name":"高新技术企业认定","nameEn":"High-tech enterprise certification"}]}],"parentOrganization":{"id":"https://nafes.cufe.edu.cn/#organization","name":"中央财经大学国家财经战略研究院","url":"https://nafes.cufe.edu.cn/","parentOrganization":{"id":"https://www.cufe.edu.cn/#organization","name":"中央财经大学","url":"https://www.cufe.edu.cn/"}},"officialReferences":[{"title":"中央财经大学院级科研机构列表（2026年5月18日更新）","url":"https://kyc.cufe.edu.cn/info/1145/4912.htm"},{"title":"中央财经大学国家财经战略研究院：陈波（2025年12月4日更新）","url":"https://nafes.cufe.edu.cn/info/1420/1211.htm"}]},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","type":"DefinedTerm","code":"finance","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"数字财经与经济变革","nameEn":"Digital finance and economic change","summary":"研究数据价值、数字资产、金融科技与科技投融资，关注人工智能对企业组织、金融服务和经济活动的影响。","summaryEn":"Research on data value, digital assets and financial technology, including how AI changes firms, financial services and economic activity.","researchQuestions":["数据价值的形成、计量与分配","人工智能应用的成本、收益与商业模式","绿色金融、碳金融与产业转型"],"keywords":["数字财经","金融科技","数据价值","数字资产","科技投融资","绿色金融","碳金融","digital finance","fintech"],"itemCount":14,"items":[{"id":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012#book","url":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012","title":"低碳大变革：下一个30年我们怎么办"},{"id":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020#book","url":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020","title":"金融科技概论"},{"id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person","url":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo","title":"陈波"},{"id":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022","title":"国家社科基金项目：数字货币与绿色消费"},{"id":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021","title":"数字财经研究中心与中国金融科技前沿论坛"},{"id":"https://cufe-digital-finance-center.vercel.app/news/hainan-financial-plan-adoption-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/hainan-financial-plan-adoption-2021","title":"海南自由贸易港金融发展规划研究获采纳"},{"id":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026","title":"团队产业化平台通过国家高新技术企业认定"},{"id":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025","title":"专家级智能体教育平台推出，重塑经管教育实践路径"},{"id":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019","title":"可持续数字金融研讨会"},{"id":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021","title":"联合国工业发展组织绿色产业平台数字化与碳金融课程"},{"id":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025","title":"龙马书卷专业智能体与财经应用"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026#article","url":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026","title":"中国医疗AI上市公司研究报告（2026）：产品布局、医院应用与商业化进程"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026","title":"RiskAtlas全球制裁与出口管制数据库建设与能力报告"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020","title":"Tech for Trees：刚果盆地造林参与研究"}]},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","type":"DefinedTerm","code":"technology","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"人工智能与产业应用","nameEn":"Artificial intelligence and industry applications","summary":"研究自主智能体、专业知识系统与行业应用，结合技术开发、经济分析和实际业务流程开展研究。","summaryEn":"Research on autonomous agents, specialist knowledge systems and industry applications, connecting technical development with economic analysis and operational processes.","researchQuestions":["自主智能体与专业研究工具","人工智能在医疗、制造、能源和金融中的应用","应用效果、可靠性与成本评估"],"keywords":["人工智能","自主智能体","专业知识系统","产业应用","医疗","制造","能源","artificial intelligence","autonomous agents"],"itemCount":12,"items":[{"id":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020#book","url":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020","title":"金融科技概论"},{"id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person","url":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo","title":"陈波"},{"id":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022","title":"国家社科基金项目：数字货币与绿色消费"},{"id":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021","title":"数字财经研究中心与中国金融科技前沿论坛"},{"id":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025","title":"专家级智能体教育平台推出，重塑经管教育实践路径"},{"id":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019","title":"可持续数字金融研讨会"},{"id":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021","title":"联合国工业发展组织绿色产业平台数字化与碳金融课程"},{"id":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","title":"ESG专业智能体与可持续发展知识服务"},{"id":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025","title":"龙马书卷专业智能体与财经应用"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026#article","url":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026","title":"中国医疗AI上市公司研究报告（2026）：产品布局、医院应用与商业化进程"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026","title":"RiskAtlas全球制裁与出口管制数据库建设与能力报告"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020","title":"Tech for Trees：刚果盆地造林参与研究"}]},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","type":"DefinedTerm","code":"compliance","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规与可持续发展","nameEn":"Global compliance and sustainability","summary":"关注企业跨境经营中的数据、人工智能、ESG与碳排放议题，研究国际规则、技术标准与企业实践之间的联系。","summaryEn":"Research on data, artificial intelligence, ESG and carbon issues in cross-border business, connecting international rules and technical standards with corporate practice.","researchQuestions":["数据治理与跨境流动","人工智能治理与行业规范","ESG信息披露与碳排放核算","供应链可追溯与国际市场规则"],"keywords":["全球化合规","数据治理","跨境数据","人工智能治理","ESG","碳排放","供应链追溯","global compliance","sustainability"],"itemCount":11,"items":[{"id":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012#book","url":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012","title":"低碳大变革：下一个30年我们怎么办"},{"id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person","url":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo","title":"陈波"},{"id":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022","title":"国家社科基金项目：数字货币与绿色消费"},{"id":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021","title":"数字财经研究中心与中国金融科技前沿论坛"},{"id":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026","title":"团队产业化平台通过国家高新技术企业认定"},{"id":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019","title":"可持续数字金融研讨会"},{"id":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021","title":"联合国工业发展组织绿色产业平台数字化与碳金融课程"},{"id":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","title":"ESG专业智能体与可持续发展知识服务"},{"id":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025#webpage","url":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025","title":"龙马书卷专业智能体与财经应用"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026","title":"RiskAtlas全球制裁与出口管制数据库建设与能力报告"},{"id":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020#webpage","url":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020","title":"Tech for Trees：刚果盆地造林参与研究"}]}],"products":[{"id":"https://cufe-digital-finance-center.vercel.app/products/longma-shujuan#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/longma-shujuan","name":"龙马书卷","nameEn":"Longma Shujuan","category":"财经研究智能体","summary":"面向财经研究与专业决策的专家级 AI 智能体，融合专业知识、数据与研究方法，已应用于交易所、海关与航运等真实业务场景。","summaryEn":"An expert-level AI agent for financial research and professional decision-making, combining domain knowledge, data and research methods, already used in real business settings at exchanges, customs and shipping organisations.","introduction":"龙马书卷是面向财经专业知识与行业任务的专家级 AI 智能体项目，由陈波研究员课题组主持研发，围绕数据资产、碳金融、ESG、财务风控及航运碳履约等主题开展研发与应用，是团队将学术积累转化为可检索、可应用工具系统的核心成果。团队产业化平台以“财经专家智能体”入口提供网页端和微信小程序服务，支持选题构思、文献与数据整合、多轮推理和初稿生成。","introductionEn":"Longma Shujuan is an expert-level AI agent initiative for financial knowledge and industry tasks, led by a research team headed by Bo Chen. It spans data assets, carbon finance, ESG, financial risk management and maritime carbon compliance, and is the team's core example of turning academic work into a searchable and usable tool system. The team's industry platform offers it through a \"financial specialist agent\" entry point on web and WeChat mini-program, supporting topic formulation, literature and data integration, multi-round reasoning and draft generation.","features":["采用内容增强型知识插槽（CEKS）技术与专业大模型数据集组织知识，优化知识结构、提升知识密度和检索准确性","应用方向覆盖交易所、海关和航运场景的碳关税、碳排放交易体系（ETS）、数据资产、碳金融、ESG与财务风控","支持的“基于高精度连续监测技术的航运智能碳履约系统”获沙河高教园区高校成果概念验证项目立项","配套“财经人学AI”公益教育平台，以“专家级智能体＋X”方式推进跨学科合作与教学实践"],"featuresEn":["Uses Content-Enhanced Knowledge Slots (CEKS) and domain-specific large-model datasets to optimise knowledge structure, density and retrieval accuracy","Applications span carbon border measures, emissions trading systems, data assets, carbon finance, ESG and financial risk control for exchanges, customs and shipping","The related smart carbon-compliance system for shipping, supported by high-precision continuous monitoring, received proof-of-concept funding from the Shahe Higher Education Park","Paired with the \"Finance Professionals Learn AI\" public-interest platform, extending an \"expert agent plus X\" approach to interdisciplinary teaching and collaboration"],"sources":[{"title":"中央财经大学新闻网：财经研究院发布“龙马书卷”专家级大模型智能体","titleEn":"CUFE News: release of the Longma Shujuan specialist agent","url":"https://news.cufe.edu.cn/info/1003/60789.htm"},{"title":"中财数碳：中财数碳推出专家级智能体平台","titleEn":"DIGICARBON: launch of the specialist agent platform","url":"https://www.digicarbon.cn/news/8453080"},{"title":"中财数碳：财经专家智能体产品页面","titleEn":"DIGICARBON: financial specialist agent product page","url":"https://www.digicarbon.cn/products/finance-agent"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}],"relatedMaterial":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025"},{"id":"https://cufe-digital-finance-center.vercel.app/products/scholarforce#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/scholarforce","name":"ScholarForce","nameEn":"ScholarForce","category":"自主智能体协作与交付平台","summary":"面向研究与企业复杂任务的智能体协作与交付平台，将任务、证据与人工审核组织在可追踪的工作空间中。","summaryEn":"An agent collaboration and delivery platform for research and complex enterprise tasks, organising objectives, evidence and human review in one traceable workspace.","introduction":"ScholarForce将研究资料、专业方法与多步骤任务组织在同一工作环境中，把任务目标、执行过程、工具调用、资料来源、人工审核和成果文件组织在可追踪的工作空间，使研究报告、尽调分析、行业研究和企业决策支持等成果能够回溯到相应的证据与执行步骤。","introductionEn":"ScholarForce brings research materials, professional methods and multi-step tasks into one working environment. Task objectives, execution steps, tool calls, sources, human review and final deliverables are organised in a traceable workspace, so research reports, due-diligence analysis, industry research and decision support can be traced back to their evidence and execution steps.","features":["统一管理任务目标、研究资料、知识来源与工作上下文，保留执行、审查与修订记录","将复杂工作拆分为可跟踪步骤，接入专用工具与领域知识，支持财经、科技与合规等专业任务","配套 ScholarForce API Gateway 提供多模型生态的企业级接入、组织账户、用量管理与访问控制","已服务数十家国内高校与智库，涵盖国家级智库和多所985高校的科研与政策研究场景"],"featuresEn":["Manages task objectives, research materials, sources and working context, with execution, review and revision records","Breaks complex work into traceable steps, connecting specialist tools and domain knowledge for finance, technology and compliance tasks","Paired with ScholarForce API Gateway for enterprise-grade access to a multi-model ecosystem, with organisation accounts, usage management and access control","Already serving dozens of domestic universities and think tanks, including national-level think tanks and multiple \"985\" universities"],"sources":[{"title":"中财数碳：财经专家智能体亮相中国管理学年会","titleEn":"DIGICARBON: specialist agent presented at the China Management Annual Conference","url":"https://www.digicarbon.cn/news/10870827"},{"title":"中财数碳：中财数碳业务全面升级","titleEn":"DIGICARBON: company-wide business upgrade","url":"https://www.digicarbon.cn/news/11279871"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}],"applicationUrl":"https://rs.scholarforce.ai/"},{"id":"https://cufe-digital-finance-center.vercel.app/products/riskatlas#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/riskatlas","name":"全球规则与风险信息平台","nameEn":"RiskAtlas","category":"全球业务信息与合规风险检索","summary":"面向跨境经营、供应链风控与国别研究的全球限制措施与制裁信息检索平台。","summaryEn":"A global sanctions and export-control information platform for cross-border business, supply-chain risk and country research.","introduction":"RiskAtlas整理美国、英国、欧盟、联合国、瑞士、加拿大、澳大利亚、新西兰和中国等发布法域的官方公开限制措施信息，支持实体检索、来源核验、研究分析与机器可读调用，是团队将全球化合规研究延伸为可检索数据服务的项目。数据库记录用于信息检索与研究复核，法律效力以主管机构正式文件为准。","introductionEn":"RiskAtlas organises official public restriction-measure information from jurisdictions including the United States, the United Kingdom, the European Union, the United Nations, Switzerland, Canada, Australia, New Zealand and China. It supports entity search, source verification, research analysis and machine-readable access, and is the team's example of turning global-compliance research into a searchable data service. Records are used for information retrieval and research review; legal effect follows the official documents of the relevant authorities.","features":["覆盖九个主要发布法域的制裁与出口管制官方公开信息，保留法域、日期、对象与来源记录","支持实体检索、来源核验与跨法域比较研究","为出海、供应链风控和智能体应用提供结构化数据基础"],"featuresEn":["Covers official public sanctions and export-control information from nine major jurisdictions, retaining jurisdiction, date, target and source records","Supports entity search, source verification and cross-jurisdiction comparative research","Provides a structured data foundation for market entry, supply-chain risk control and agent applications"],"sources":[{"title":"中财数碳：RiskAtlas 产品页面","titleEn":"DIGICARBON: RiskAtlas product page","url":"https://www.digicarbon.cn/products/riskatlas"},{"title":"中财数碳：全球规则与风险智能体","titleEn":"DIGICARBON: global rules and risk agent","url":"https://www.digicarbon.cn/agents/global-risk"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}],"applicationUrl":"https://atlas.scholarforce.ai/"},{"id":"https://cufe-digital-finance-center.vercel.app/products/esg-expert-agent#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/esg-expert-agent","name":"ESG专家智能体","nameEn":"ESG specialist agent","category":"可持续披露与ESG分析","summary":"支持可持续准则检索、披露分析、评级研究与报告初稿的专家智能体。","summaryEn":"A specialist agent supporting sustainability-standard retrieval, disclosure analysis, ratings research and report drafting.","introduction":"ESG专家智能体围绕ESG准则与政策检索、披露与评级分析、可持续报告初稿等任务组织专业知识，是数字财经研究中心可持续发展研究方向在团队产业化平台上的应用之一。披露和评级结论须由企业与专业人员复核，智能体承担资料整理和初稿生成工作。","introductionEn":"The ESG specialist agent organises specialist knowledge for standard and policy retrieval, disclosure and ratings analysis, and sustainability-report drafting. It is one application of the Center's sustainability research on the team's industry platform. Disclosure and ratings conclusions must be reviewed by the enterprise and by professionals; the agent handles material organisation and draft generation.","features":["ESG准则与政策检索，覆盖可持续披露相关的国际与行业标准","披露差距与评级分析，形成可追溯的分析框架","生成可持续报告初稿，供企业与专业人员审核修改"],"featuresEn":["Retrieves ESG standards and policy relevant to sustainability disclosure, spanning international and sector norms","Analyses disclosure gaps and ratings within a traceable framework","Drafts sustainability reports for review and revision by the enterprise and professionals"],"sources":[{"title":"中财数碳：ESG专家智能体","titleEn":"DIGICARBON: ESG specialist agent","url":"https://www.digicarbon.cn/agents/esg-expert"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","name":"财经"}],"relatedMaterial":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025"},{"id":"https://cufe-digital-finance-center.vercel.app/products/financial-risk-agent#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/financial-risk-agent","name":"金融风险分析智能体","nameEn":"Financial risk analysis agent","category":"多模态金融风控","summary":"处理多源异构信息与风险信号，支持风险识别、解释与决策准备的金融风控智能体。","summaryEn":"A financial risk-control agent that processes multi-source, heterogeneous information and risk signals to support risk identification, explanation and decision preparation.","introduction":"金融风险分析智能体处理结构化数据、文本、图像、规则和业务背景等多源信息，形成风险线索、依据、解释和后续复核建议。相关能力在2026年科大讯飞AI开发者大赛“金融场景多模态识别与风险管控赛道”获得亚军（TOP2）。分析结果用于风险研判与复核，不代替正式风控审批。","introductionEn":"The financial risk analysis agent processes structured data, text, images, rules and business context to produce risk leads, supporting evidence, explanations and follow-up review recommendations. The underlying capability placed runner-up (top 2) in the \"financial multimodal recognition and risk control\" track of the 2026 iFLYTEK AI developer competition. Results are used for risk assessment and review, not as a substitute for formal risk-control approval.","features":["处理结构化数据、文本、图像、规则和业务背景等多源异构信息","形成风险线索、依据、解释和后续复核建议","2026年科大讯飞AI开发者大赛金融场景多模态识别与风险管控赛道亚军（TOP2）"],"featuresEn":["Processes multi-source, heterogeneous information spanning structured data, text, images, rules and business context","Produces risk leads, supporting evidence, explanations and follow-up review recommendations","Placed runner-up (top 2) in the financial multimodal recognition and risk-control track of the 2026 iFLYTEK AI developer competition"],"sources":[{"title":"中财数碳：中财数碳荣获2026届科大讯飞AI开发者大赛金融风控赛道亚军","titleEn":"DIGICARBON: runner-up at the 2026 iFLYTEK AI developer competition, financial risk-control track","url":"https://www.digicarbon.cn/news/11233509"},{"title":"中财数碳：金融风险分析智能体","titleEn":"DIGICARBON: financial risk analysis agent","url":"https://www.digicarbon.cn/agents/financial-risk"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","name":"科技"}]},{"id":"https://cufe-digital-finance-center.vercel.app/products/carbon-market-agent#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/carbon-market-agent","name":"碳市场研究智能体","nameEn":"Carbon market research agent","category":"碳价与双碳研究","summary":"组织碳价、政策、市场机制与交易数据，形成碳市场分析与研究报告的智能体。","summaryEn":"An agent that organises carbon prices, policy, market mechanisms and trading data into carbon-market analysis and research reports.","introduction":"碳市场研究智能体延续团队在碳定价、碳资产管理和碳金融数字化方面的研究积累，围绕碳价与市场数据、政策和机制分析形成研究报告初稿。研究内容不构成投资建议，市场数据和政策需按发布日期复核。","introductionEn":"The carbon market research agent extends the team's research on carbon pricing, carbon-asset management and the digitalisation of carbon finance, organising carbon prices, market data, policy and mechanism analysis into draft research reports. The research does not constitute investment advice, and market data and policy should be reviewed against their publication dates.","features":["组织碳价、政策文件、市场机制和交易数据，形成结构化分析","延续团队在碳定价智能技术与碳资产数字化方面的研究积累","生成研究报告初稿，市场数据和政策按日期复核"],"featuresEn":["Organises carbon prices, policy documents, market mechanisms and trading data into structured analysis","Extends the team's research on carbon-pricing intelligence and carbon-asset digitalisation","Drafts research reports, with market data and policy reviewed against their dates"],"sources":[{"title":"中财数碳：碳市场研究智能体","titleEn":"DIGICARBON: carbon market research agent","url":"https://www.digicarbon.cn/agents/carbon-market-research"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}]},{"id":"https://cufe-digital-finance-center.vercel.app/products/overseas-business-agent#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/overseas-business-agent","name":"海外市场进入与客户开发智能体","nameEn":"Overseas market entry and customer development agents","category":"全球业务与出海","summary":"围绕目标市场筛选、客户发现与业务适配判断，支持企业出海工作的智能体组合。","summaryEn":"A group of agents supporting overseas expansion through target-market screening, customer discovery and business-fit assessment.","introduction":"该智能体组合把目标市场选择、进入条件、竞争环境与客户拓展组织成可执行的出海工作体系，其中海外客户开发智能体在一项机器人企业出海项目中已形成超过100家潜在客户清单并提供后续支持。智能体完成研究和准备工作，正式对外联络需取得客户授权并由业务人员执行。","introductionEn":"This group of agents organises target-market selection, entry conditions, the competitive landscape and customer outreach into an executable overseas-expansion workflow. In one robotics-company market-entry project, the overseas customer development agent produced a list of more than 100 qualified prospects with follow-up support. The agents complete research and preparation; formal outreach requires customer authorisation and is carried out by business staff.","features":["结合市场机会、合规成本、竞争强度和企业适配度，对候选国家形成可解释的优先级","围绕目标市场发现客户、核验业务适配度，形成客户清单与联络准备材料","一项机器人企业出海项目已形成超过100家潜在客户清单"],"featuresEn":["Forms an explainable country priority ranking based on market opportunity, compliance cost, competitive intensity and business fit","Discovers customers in target markets, verifies business fit, and prepares customer lists and outreach materials","Produced a list of more than 100 qualified prospects in one robotics-company market-entry project"],"sources":[{"title":"中财数碳：海外客户开发智能体","titleEn":"DIGICARBON: overseas customer development agent","url":"https://www.digicarbon.cn/agents/overseas-customer"},{"title":"中财数碳：海外市场进入智能体","titleEn":"DIGICARBON: overseas market entry agent","url":"https://www.digicarbon.cn/agents/market-entry"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}]},{"id":"https://cufe-digital-finance-center.vercel.app/products/ecoaitech-maritime#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/ecoaitech-maritime","name":"航运碳合规平台","nameEn":"EcoAiTech maritime carbon compliance platform","category":"航运碳履约与国际规则","summary":"面向航运企业的FuelEU、EU ETS、UK ETS与EUA合规和碳成本管理工具。","summaryEn":"A compliance and carbon-cost management tool for shipping companies covering FuelEU, EU ETS, UK ETS and EUA.","introduction":"EcoAiTech是团队长期航运碳履约经验的产品化承载，将跨境规则、计算、碳市场信息和履约协同连接到航运企业的日常运营中。团队产业化平台披露，其国际航运碳履约服务已覆盖20多个欧盟国家，服务200余艘远洋船舶和近百家航运企业，服务内容包括账户开设、碳定价、EUA采购和履约支持等。计算、市场数据和资料用于合规分析与内部复核，监管要求以主管机构正式规则为准。","introductionEn":"EcoAiTech is the product form of the team's long-standing maritime carbon-compliance experience, connecting cross-border rules, calculations, carbon-market information and compliance coordination to shipping companies' daily operations. According to the team's industry platform, its international shipping carbon-compliance service covers more than 20 EU countries, serving more than 200 ocean-going vessels and nearly 100 shipping companies, with services including account opening, carbon pricing, EUA procurement and compliance support. Calculations, market data and materials are used for compliance analysis and internal review; regulatory requirements follow the official rules of the relevant authorities.","features":["FuelEU年度温室气体强度、履约余额和潜在罚款测算","EU ETS、UK ETS与EUA碳成本规划和价格跟踪","国际航运碳履约服务覆盖20多个欧盟国家、200余艘远洋船舶和近百家航运企业"],"featuresEn":["Calculates FuelEU annual greenhouse-gas intensity, compliance balance and potential penalties","Plans EU ETS, UK ETS and EUA carbon costs and tracks prices","International shipping carbon-compliance service covers more than 20 EU countries, 200+ ocean-going vessels and nearly 100 shipping companies"],"sources":[{"title":"中财数碳：EcoAiTech 航运碳合规平台","titleEn":"DIGICARBON: EcoAiTech maritime carbon compliance platform","url":"https://www.digicarbon.cn/products/ecoaitech-maritime"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","name":"全球化合规"}],"applicationUrl":"https://ship.ecoaitech.com/"},{"id":"https://cufe-digital-finance-center.vercel.app/products/intelligent-scheduling-agent#product","type":"SoftwareApplication","url":"https://cufe-digital-finance-center.vercel.app/products/intelligent-scheduling-agent","name":"智能排产与制造优化智能体","nameEn":"Intelligent scheduling and manufacturing optimisation agents","category":"制造与运营优化","summary":"在订单、工序、设备与交期等约束下生成排产方案，并支持动态重排与工艺优化的智能体组合。","summaryEn":"A group of agents that generate scheduling plans under order, process, equipment and deadline constraints, with dynamic rescheduling and process optimisation.","introduction":"该智能体组合把团队的人工智能方法延伸到制造场景：在订单、工序、设备、人员、班次、工时和交期等约束下生成可执行排产方案，应对插单、设备故障等扰动进行动态重排，并对工艺参数提出可验证的优化建议。相关能力已在制造业相关项目中用于AI排产与优化，是团队人工智能能力在金融之外行业场景的应用实例；是否接入ERP、MES或设备数据取决于具体项目范围。","introductionEn":"This group of agents extends the team's AI methods into manufacturing: generating executable scheduling plans under order, process, equipment, staffing, shift, working-hour and deadline constraints; dynamically rescheduling in response to disruptions such as urgent orders or equipment failure; and proposing verifiable process-parameter optimisations. The underlying capability has been used for AI scheduling and optimisation in manufacturing-related projects, illustrating the team's AI work beyond finance. Integration with ERP, MES or equipment data depends on the specific project scope.","features":["结合订单、工序、设备、人员、班次、工时和交期等多重约束生成排产方案","应对插单、设备故障、物料延迟或人员变化进行动态重排，并说明调整影响","分析工艺参数、生产条件和质量结果，提出可进一步验证的优化建议"],"featuresEn":["Generates scheduling plans under multiple constraints spanning orders, processes, equipment, staffing, shifts, working hours and deadlines","Dynamically reschedules in response to urgent orders, equipment failure, material delays or staffing changes, explaining the impact of each adjustment","Analyses process parameters, production conditions and quality outcomes to propose optimisations for further verification"],"sources":[{"title":"中财数碳：AI 智能排产智能体","titleEn":"DIGICARBON: AI intelligent scheduling agent","url":"https://www.digicarbon.cn/agents/intelligent-scheduling"}],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","name":"科技"}]}],"itemCount":15,"items":[{"id":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012#book","type":"Book","contentType":"books","url":"https://cufe-digital-finance-center.vercel.app/books/low-carbon-transformation-2012","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/books/low-carbon-transformation-2012","textUrl":"https://cufe-digital-finance-center.vercel.app/text/books/low-carbon-transformation-2012","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/books/low-carbon-transformation-2012","urlEn":"https://cufe-digital-finance-center.vercel.app/en/books/low-carbon-transformation-2012","title":"低碳大变革：下一个30年我们怎么办","titleEn":"The Great Low-Carbon Transformation","summary":"陈波著 · 石油工业出版社 · 2012","summaryEn":"A 2012 book by Bo Chen on the economic, historical and international dimensions of the low-carbon transition.","body":"本书从历史、经济与国际竞争等角度讨论气候变化和低碳转型，梳理低碳经济的基本框架及其对中国未来发展的影响。\n\n全书关注气候议题背后的经济逻辑、国际发展趋势与中国实践，并讨论绿色转型对中国经济和社会发展的影响。","bodyEn":"## Subject\n\nThe book examines climate change and the transition to a low-carbon economy through historical, economic and international perspectives. It sets out the basic framework of a low-carbon economy and considers its implications for China's development.\n\n## Approach\n\nThe discussion connects the economics of climate policy with international developments and Chinese practice, including the effects of green transformation on China's economy and society.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2012-10-01","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://e.dangdang.com/touch/products/1901093608.html","type":"CreativeWork","title":"低碳大变革：下一个30年我们怎么办","authors":["陈波"],"authorEntities":[{"name":"陈波","id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person"}],"publisher":"石油工业出版社","datePublished":"2012-10-01","url":"https://e.dangdang.com/touch/products/1901093608.html"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学国家财经战略研究院：陈波","url":"https://nafes.cufe.edu.cn/info/1420/1211.htm"},{"title":"当当读书：低碳大变革","url":"https://e.dangdang.com/touch/products/1901093608.html"}],"citations":{"apa":"陈波. (2012). 低碳大变革：下一个30年我们怎么办. 石油工业出版社."},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020#book","type":"Book","contentType":"books","url":"https://cufe-digital-finance-center.vercel.app/books/introduction-to-fintech-2020","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/books/introduction-to-fintech-2020","textUrl":"https://cufe-digital-finance-center.vercel.app/text/books/introduction-to-fintech-2020","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/books/introduction-to-fintech-2020","urlEn":"https://cufe-digital-finance-center.vercel.app/en/books/introduction-to-fintech-2020","title":"金融科技概论","titleEn":"Introduction to Financial Technology","summary":"陈波、戴韡主编 · 机械工业出版社 · 2020","summaryEn":"Edited by Bo Chen and Wei Dai, published by China Machine Press in 2020.","body":"全书围绕金融科技的基本概念、技术基础、业务场景与监管展开，共十二章。技术部分涉及人工智能、大数据处理、数据中台、云计算与区块链；应用部分覆盖量化投资、智能投顾、智能风控和保险科技，并收录智能催收、智能反欺诈、智能反洗钱、精准获客、智能营销与智能客服案例。\n\n本书面向高等院校财经类专业教学，也可供金融行业从业者培训和研究参考。出版社配套提供中文电子课件、教学大纲与样章试读。","bodyEn":"## Scope\n\nThe book introduces the concepts, technical foundations, business applications and regulation of financial technology across twelve chapters. Its technology chapters cover artificial intelligence, large-scale data processing, enterprise data platforms, cloud computing and blockchain. The application chapters address quantitative investment, automated advisory services, intelligent risk control and insurance technology, with cases on debt collection, fraud detection, anti-money-laundering, customer acquisition, marketing and customer service.\n\n## Intended readers\n\nThe book is designed for university teaching in finance and economics and can also support professional training and research in the financial sector. The publisher provides Chinese-language slides, a teaching outline and a sample chapter.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2020-12-22","dateModified":"2026-09-05","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://www.cmpedu.com/books/book/5603593.htm","type":"CreativeWork","title":"金融科技概论","authors":[],"authorEntities":[],"publisher":"机械工业出版社","datePublished":"2020-12-22","url":"https://www.cmpedu.com/books/book/5603593.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"}],"regions":[],"sources":[{"title":"机械工业出版社：金融科技概论","url":"https://www.cmpedu.com/books/book/5603593.htm"},{"title":"中央财经大学国家财经战略研究院：陈波","url":"https://nafes.cufe.edu.cn/info/1420/1211.htm"}],"citations":{"apa":"陈波, 戴韡（主编）. (2020). 金融科技概论. 机械工业出版社."},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person","type":"Person","contentType":"experts","url":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/experts/chen-bo","textUrl":"https://cufe-digital-finance-center.vercel.app/text/experts/chen-bo","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/experts/chen-bo","urlEn":"https://cufe-digital-finance-center.vercel.app/en/experts/chen-bo","title":"陈波","titleEn":"Bo Chen","summary":"控制工程出身、经济学博士学位、碳金融硕士学位的跨学科学者，率团队将人工智能、金融科技与绿色低碳研究转化为可检索的专业智能体系统。","body":"## 跨学科的研究路径\n\n陈波，中央财经大学人工智能与数字财经研究中心主任，中央财经大学国家财经战略研究院研究员、博士生导师，工学和理学双硕士、经济学博士，英国 Chevening 学者。他的学术轨迹跨越三个学科：本科与硕士阶段在山东大学、浙江大学攻读控制科学与工程，训练出工程系统的建模与优化能力；随后转向中国人民大学网络经济学博士研究，把工程思维带入数字经济分析；再赴英国爱丁堡大学商学院攻读碳金融硕士，补上绿色金融与国际碳市场规则的专业训练。三段学科训练叠加，形成了他在人工智能、金融科技与碳金融交叉领域少见的复合能力——既能理解模型与算法的技术边界，也能把握金融市场与国际规则的运行逻辑。\n\n## 教育经历\n\n| 时间 | 学校 | 专业与学位 |\n| --- | --- | --- |\n| 2010—2013 | 中国人民大学 | 网络经济学博士 |\n| 2011—2012 | 英国爱丁堡大学商学院 | 碳金融硕士（Chevening 学者） |\n| 2005—2007 | 浙江大学 | 控制科学与工程硕士 |\n| 2001—2005 | 山东大学 | 控制科学与工程学士 |\n\n## 职业经历\n\n| 时间 | 机构 | 职务 |\n| --- | --- | --- |\n| 2013年至今 | 中央财经大学财经研究院、国家财经战略研究院 | 研究员 |\n| 2008—2011 | 国家发展和改革委员会能源研究所CDM中心 | 研究助理 |\n| 2007—2008 | 韩国SK E&S | 高级工程师 |\n\n## 学术与国际经历\n\n现任国际可持续数字金融网络中方负责人、联合国贸易便利化与电子业务中心（UN/CEFACT）追踪与追溯标准工作组成员、中国计算机学会（CCF）开源发展委员会执行委员、Open Islands开源社区数据资产化工作组组长；同时担任财政部PPP项目评审专家、深圳市金融标准技术委员会委员、北京财经研究基地高级专家、五矿资本研究院特聘研究员，以及百度百科头部词条审核专家。此前曾兼任湾区国际金融科技实验室副主任、深圳市金融科技协会副秘书长、工信部开放原子开源基金会教育培训首席专家。担任多个SCI/SSCI外文期刊审稿人。\n\n## 学术影响与资政贡献\n\n出版专著2部、主编教材1部，在SSCI、SCI、CSSCI、EI等国内外学术期刊发表论文20余篇，第一作者论文入选ESI高被引论文，单篇被Web of Science引用超过122次。近年工作成果被经济合作与发展组织（OECD）、联合国环境规划署绿色数字金融联盟（UNEP-GDFA）等国际平台收录，并多次在《环球时报》等国家级媒体撰写专栏文章、接受中英文媒体采访。主笔的政策建议及研究成果已有10余次获中央办公厅、人民内参、生态环境部、国家发改委、教育部等省部级以上机构批示或采纳。曾获英国外交部志奋领学者奖学金（2011/2012）、中央财经大学成心奖励基金优秀学术成果应用奖（2014）、上海市中小企业科技创新基金奖励（2014）。\n\n## 研究项目\n\n主持国家自然科学基金、国家社会科学基金、北京市社会科学基金项目各1项，部委横向课题3项，国际合作项目5项，以及横向课题20余项，研究方向涵盖数字金融、人工智能、绿色金融、碳金融与产业应用。出版著作包括《金融科技概论》（主编，机械工业出版社，2020）、《碳排放权交易市场的设计原理与实践研究》（中国经济出版社，2014）、《低碳大变革——下一个30年我们怎么办》（石油工业出版社，2012）。\n\n## 教学与招生\n\n课程涉及国际投融资、绿色金融、人工智能与大模型。当前主要招收人工智能与绿色金融交叉领域、具备编程能力和AI基础的博士研究生和博士后。\n\n## 团队与研究成果转化\n\n陈波率领的研究团队将学术积累延伸到可检索、可更新的专业智能体系统：龙马书卷专家级大模型智能体运用内容增强型知识插槽（CEKS）技术组织财经专业知识，服务交易所、海关、航运等场景的碳关税、ESG、财务风控等任务；团队成果并通过中财数碳（DIGICARBON）等产业化平台落地，国际航运碳履约服务已覆盖20多个欧盟国家、200余艘远洋船舶和近百家航运企业，财经专家智能体平台已服务数十家国内高校与智库。\n\n## 中心沿革\n\n中央财经大学人工智能与数字财经研究中心由数字财经研究中心更名而来。","bodyEn":"## An interdisciplinary path\n\nBo Chen is Director of the CUFE Institute for AI & Digital Finance, a researcher and doctoral supervisor at the National Academy of Financial Strategy, Central University of Finance and Economics, holder of dual master's degrees in engineering and science, a PhD in economics, and a Chevening Scholar. His academic trajectory spans three disciplines: undergraduate and master's training in control science and engineering at Shandong University and Zhejiang University, which built his skills in systems modelling and optimisation; a subsequent PhD in network economics at Renmin University of China, which brought engineering thinking into digital-economy analysis; and a master's in carbon finance at the University of Edinburgh Business School, which added expertise in green finance and international carbon-market rules. Together, these three phases of training gave him an unusual combination of capabilities at the intersection of artificial intelligence, financial technology and carbon finance — an understanding of both the technical boundaries of models and algorithms and the operating logic of financial markets and international rules.\n\n## Education\n\n| Period | Institution | Degree and field |\n| --- | --- | --- |\n| 2010–2013 | Renmin University of China | PhD in network economics |\n| 2011–2012 | University of Edinburgh Business School | MSc in carbon finance (Chevening Scholar) |\n| 2005–2007 | Zhejiang University | MSc in control science and engineering |\n| 2001–2005 | Shandong University | BEng in control science and engineering |\n\n## Professional experience\n\n| Period | Institution | Role |\n| --- | --- | --- |\n| 2013–present | Institute of Finance and Economics / National Academy of Finance and Economic Strategy, CUFE | Researcher |\n| 2008–2011 | CDM Centre, Energy Research Institute of the National Development and Reform Commission | Research assistant |\n| 2007–2008 | SK E&S, Republic of Korea | Senior engineer |\n\n## Academic and international experience\n\nChina lead for an international sustainable digital finance network; member of the UN/CEFACT Traceability and Transparency Project; executive member of the Open Source Development Committee of the China Computer Federation; and lead of the Data Assetisation Working Group at the Open Islands open-source community. He also serves as a review expert for Ministry of Finance PPP projects, a member of the Shenzhen Financial Standards Technical Committee, a senior expert at the Beijing Finance Research Base, and a distinguished researcher at the Minmetals Capital Research Institute. He has previously served as Deputy Director of a Bay Area international fintech laboratory and Deputy Secretary-General of the Shenzhen Fintech Association, and reviews for multiple SCI/SSCI journals.\n\n## Academic impact and policy contribution\n\nHe has published two monographs, edited one textbook, and authored more than 20 articles in SSCI, SCI, CSSCI and EI journals; his first-authored work has been named an ESI highly cited paper, with a single article cited more than 122 times on Web of Science. His work has been included by international platforms such as the OECD and UNEP's Green Digital Finance Alliance, and he has written columns and given interviews for national media including the Global Times. More than ten of his policy proposals and research findings have been endorsed or adopted at or above provincial-ministerial level, including by the General Office of the CPC Central Committee, People's Reference, the Ministry of Ecology and Environment, the National Development and Reform Commission and the Ministry of Education. He received a Chevening Scholarship from the UK Foreign Office (2011/2012), a CUFE Chengxin Fund award for outstanding applied research (2014), and a Shanghai SME Technology Innovation Fund award (2014).\n\n## Research projects\n\nHe has led one project each under the National Natural Science Foundation of China, the National Social Science Fund of China and the Beijing Social Science Fund, three ministry-commissioned projects, five international cooperation projects and more than twenty commissioned projects, spanning digital finance, artificial intelligence, green finance, carbon finance and industry applications. His books include *Introduction to Financial Technology* (editor, China Machine Press, 2020), *Design Principles and Practice of Carbon Emissions Trading Markets* (China Economic Publishing House, 2014) and *The Great Low-Carbon Transformation* (Petroleum Industry Press, 2012).\n\n## Teaching and recruitment\n\nCourses include international investment and financing, green finance, artificial intelligence and large models. He recruits doctoral and postdoctoral researchers working across artificial intelligence and green finance with programming and AI foundations.\n\n## From research to applied systems\n\nHis team has extended academic work into searchable, updateable specialist agent systems: the Longma Shujuan expert-level large-model agents organise financial domain knowledge with Content-Enhanced Knowledge Slots (CEKS) for exchanges, customs and shipping tasks spanning carbon border measures, ESG and financial risk control. The team's work has also reached industry through platforms such as DIGICARBON, whose international shipping carbon compliance service covers more than 20 EU countries and 200 ocean-going vessels, and whose specialist agent platform serves dozens of universities and think tanks.\n\n## Center history\n\nThe CUFE Institute for AI & Digital Finance was renamed from the Digital Finance Research Center.","inLanguage":["zh-CN","en"],"rights":"original","dateModified":"2026-09-06T12:00:00.000Z","version":4,"authors":[],"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学国家财经战略研究院：陈波","url":"https://nafes.cufe.edu.cn/info/1420/1211.htm"}],"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/digital-currency-green-consumption-project-2022","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/digital-currency-green-consumption-project-2022","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/digital-currency-green-consumption-project-2022","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/digital-currency-green-consumption-project-2022","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/digital-currency-green-consumption-project-2022","title":"国家社科基金项目：数字货币与绿色消费","titleEn":"Research on digital currency and green consumption receives National Social Science Fund support","summary":"“数字货币促进绿色消费长效机制研究”获2022年度国家社科基金一般项目立项，项目负责人为陈波。","summaryEn":"An official CUFE record of a 2022 National Social Science Fund project on long-term mechanisms through which digital currency can promote green consumption.","body":"2022年，“数字货币促进绿色消费长效机制研究”获国家社会科学基金一般项目立项。项目批准号为22BJL024，负责人为陈波，依托单位为中央财经大学，所属学科为理论经济学。\n\n研究对象包括数字货币、绿色消费及其经济机制。","bodyEn":"## Project record\n\nIn 2022, “Research on a long-term mechanism through which digital currency can promote green consumption” received support as a General Project of the National Social Science Fund of China. The project number is 22BJL024. Bo Chen is the principal investigator, Central University of Finance and Economics is the host institution, and the project is classified under theoretical economics.\n\n## Research focus\n\nThe project examines digital currency, green consumption and the economic mechanisms linking them.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://news.cufe.edu.cn/info/1002/53230.htm","type":"Article","title":"我校17项课题获国家社科基金资助立项","authors":[],"authorEntities":[],"publisher":"中央财经大学新闻网","datePublished":"2022-10-07","url":"https://news.cufe.edu.cn/info/1002/53230.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学新闻网：2022年度国家社科基金项目立项名单","url":"https://news.cufe.edu.cn/info/1002/53230.htm"},{"title":"国家社科基金项目数据库：22BJL024","url":"https://fz.people.com.cn/skygb/sk/index.php/index/seach/1723?p=4012&xmname="}],"citations":{"apa":"中央财经大学新闻网. (October 7, 2022). 我校17项课题获国家社科基金资助立项. https://news.cufe.edu.cn/info/1002/53230.htm"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/fintech-frontier-forum-2021","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/fintech-frontier-forum-2021","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/fintech-frontier-forum-2021","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/fintech-frontier-forum-2021","title":"数字财经研究中心与中国金融科技前沿论坛","titleEn":"The Digital Finance Research Center at the China Fintech Frontier Forum","summary":"2021年第四届“中国金融科技前沿论坛”讨论数字化转型、平台治理、数字资产与跨境风险，数字财经研究中心参与学术交流。","summaryEn":"An official CUFE record of the Center’s participation in the fourth China Fintech Frontier Forum, including discussion of digital assets, platform regulation, bank digitalization and cross-border spillovers.","body":"2021年12月12日，第四届“中国金融科技前沿论坛”以线上方式举行，主题为“金融科技赋能中国经济数字化转型”。论坛由中央财经大学金融学院主办，校内多个金融科技研究与实验机构协办。\n\n论坛分为“金融科技前沿实践创新”与“金融科技前沿学术争鸣”两个环节。议题包括金融机构数字化转型、央行数字货币、供应链金融科技、大型互联网平台监管、商业银行风险承担、金融科技平台垄断及全球数字货币波动溢出。来自中国建设银行、京东科技、阿里巴巴、清华大学、浙江大学等机构的专家学者及中央财经大学师生共200余人参会。\n\n中央财经大学财经研究院数字财经研究中心执行主任陈波在学术环节发表“NFT中国发展前景展望”主题演讲，分析NFT的营销、社交与投资动机，以及价格、财富观和非法金融活动等风险，并提出监管制度需要与市场发展同步。","bodyEn":"## Forum\n\nThe fourth China Fintech Frontier Forum was held online on 12 December 2021 under the theme “Fintech enabling the digital transformation of China's economy”. It was organised by CUFE's School of Finance with support from several university research and laboratory units working on financial technology.\n\n## Programme\n\nThe forum combined sessions on applied innovation and academic research. Topics included the digital transformation of financial institutions, central bank digital currency, supply-chain finance, the regulation of large internet platforms, bank risk-taking, platform concentration and international spillovers from digital-currency markets.\n\n## Center contribution\n\nBo Chen, then Executive Director of the Digital Finance Research Center at CUFE's Institute of Finance and Economics, gave a presentation on the development prospects of NFTs in China. The presentation examined marketing, social and investment motivations, together with risks related to pricing, perceptions of wealth and illicit financial activity, and discussed the need for regulation to develop with the market.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://news.cufe.edu.cn/info/1002/52222.htm","type":"Article","title":"第四届“中国金融科技前沿论坛”成功举办","authors":[],"authorEntities":[],"publisher":"中央财经大学新闻网","datePublished":"2021-12-17","url":"https://news.cufe.edu.cn/info/1002/52222.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":["中国","国际"],"event":{"id":"https://cufe-digital-finance-center.vercel.app/news/fintech-frontier-forum-2021#event","type":"Event","name":"第四届“中国金融科技前沿论坛”","startDate":"2021-12-12","endDate":"2021-12-12","attendanceMode":"online","location":"线上会议","organizers":["中央财经大学金融学院","中央财经大学国家金融安全教育部工程研究中心","中央财经大学中国金融科技研究中心","中央财经大学金融科技创新实验室","中央财经大学粤港澳大湾区研究院金融研究中心"],"participants":["史建平，中央财经大学副校长","金磐石，中国建设银行首席信息官","陆瑶，清华大学经济管理学院教授","邹传伟，万向区块链首席经济学家","朱太辉，京东科技集团研究院副院长","易欢欢，易股天下集团董事长","肖利华，阿里巴巴集团副总裁","程炼，中国社会科学院金融研究所研究员","刘莉亚，上海财经大学金融学院教授","蒋海，暨南大学经济学院教授","王义中，浙江大学经济学院教授","陈波，中央财经大学财经研究院数字财经研究中心执行主任","彭俞超，中央财经大学金融学院副教授"]},"sources":[{"title":"中央财经大学新闻网：第四届“中国金融科技前沿论坛”成功举办","url":"https://news.cufe.edu.cn/info/1002/52222.htm"}],"citations":{"apa":"中央财经大学新闻网. (December 17, 2021). 第四届“中国金融科技前沿论坛”成功举办. https://news.cufe.edu.cn/info/1002/52222.htm"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/hainan-financial-plan-adoption-2021#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/hainan-financial-plan-adoption-2021","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/hainan-financial-plan-adoption-2021","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/hainan-financial-plan-adoption-2021","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/hainan-financial-plan-adoption-2021","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/hainan-financial-plan-adoption-2021","title":"海南自由贸易港金融发展规划研究获采纳","titleEn":"Research contribution to Hainan Free Trade Port financial plan adopted","summary":"数字财经研究中心参与海南省“十四五”金融规划研究，围绕发展目标、战略、重点领域与实施思路提出建议。","summaryEn":"An official CUFE record of the Digital Finance Research Center’s contribution to research for Hainan’s 14th Five-Year financial development plan.","body":"## 项目与采纳\n\n2021年6月29日，海南自由贸易港金融发展中心向中央财经大学财经研究院数字财经研究中心发来感谢信。数字财经研究中心主任陈波及其团队作为课题组主要专家，参与海南省“十四五”金融规划研究。\n\n## 研究内容\n\n相关工作围绕海南省金融业在“十四五”时期的发展目标、发展战略、重点领域与实施思路展开。中央财经大学财经研究院《财经简报》记载，课题组提出的系统性建议获得采纳。","bodyEn":"## Project and adoption\n\nOn 29 June 2021, the Hainan Free Trade Port Financial Development Center sent a letter of appreciation to the Digital Finance Research Center at CUFE's Institute of Finance and Economics. Bo Chen, Director of the Digital Finance Research Center, and his team participated as principal experts in research for Hainan Province's 14th Five-Year financial plan.\n\n## Scope of work\n\nThe work addressed the development objectives, strategy, priority areas and implementation approach for Hainan's financial sector during the plan period. CUFE's Institute of Finance and Economics recorded in its Finance and Economics Brief that the project team's recommendations were adopted.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf","type":"Article","title":"陈波副研究员的研究成果被海南自由贸易港金融发展中心采纳","authors":[],"authorEntities":[],"publisher":"中央财经大学财经研究院《财经简报》","datePublished":"2021-06-29","url":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"}],"regions":[],"sources":[{"title":"中央财经大学财经研究院：《财经简报》2021年第7期","url":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"}],"citations":{"apa":"中央财经大学财经研究院《财经简报》. (June 29, 2021). 陈波副研究员的研究成果被海南自由贸易港金融发展中心采纳. https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/high-tech-enterprise-certification-2026","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/high-tech-enterprise-certification-2026","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/high-tech-enterprise-certification-2026","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/high-tech-enterprise-certification-2026","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/high-tech-enterprise-certification-2026","title":"团队产业化平台通过国家高新技术企业认定","titleEn":"Team’s industry platform certified as a National High-Tech Enterprise","summary":"依托中心科研团队成立的中财数碳（北京）科技有限公司通过国家高新技术企业认定，认定聚焦碳定价智能技术、碳金融产品全周期管理及碳资产数字化解决方案。","summaryEn":"DIGICARBON, the industry platform built on research from the Digital Finance Research Center, received National High-Tech Enterprise certification.","body":"## 认定情况\n\n2026年3月，依托中央财经大学数字财经研究中心科研团队成立的中财数碳（北京）科技有限公司，通过国家高新技术企业认定。该项资质由北京市科学技术委员会、北京市财政局、国家税务总局北京市税务局联合批准，证书有效期三年。\n\n## 认定意义\n\n高新技术企业认定是对企业在核心自主知识产权、科技成果转化能力、研发组织管理水平及成长性指标等方面的综合评估。此次获批确认了团队在碳定价智能技术、碳金融产品全周期管理及碳资产数字化解决方案等领域的技术研发与创新能力达到国家规定标准，是研究中心学术成果向产业转化的一项公开验证。","bodyEn":"## Certification\n\nIn March 2026, DIGICARBON (Beijing) Technology Co., Ltd, the enterprise established on the basis of the Digital Finance Research Center's research team, received National High-Tech Enterprise certification. The certification was jointly approved by the Beijing Municipal Science and Technology Commission, the Beijing Municipal Finance Bureau and the Beijing Municipal Tax Service of the State Taxation Administration, with a three-year term.\n\n## Significance\n\nNational High-Tech Enterprise certification is a comprehensive assessment of a company's core proprietary intellectual property, capacity to convert research into applications, R&D management standards and growth indicators. The certification confirmed that the team's technical research and innovation in carbon-pricing intelligence, full-lifecycle carbon finance product management and carbon-asset digitalisation had met national standards — a public verification of the research center's transfer of academic work into industry.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://www.digicarbon.cn/news/11063813","type":"Article","title":"中财数碳通过国家高新技术企业认定","authors":[],"authorEntities":[],"publisher":"中财数碳（北京）科技有限公司","datePublished":"2026-03-16","url":"https://www.digicarbon.cn/news/11063813"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中财数碳：中财数碳通过国家高新技术企业认定","url":"https://www.digicarbon.cn/news/11063813"}],"citations":{"apa":"中财数碳（北京）科技有限公司. (March 16, 2026). 中财数碳通过国家高新技术企业认定. https://www.digicarbon.cn/news/11063813"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/specialist-agent-education-platform-2025","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/specialist-agent-education-platform-2025","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/specialist-agent-education-platform-2025","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/specialist-agent-education-platform-2025","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/specialist-agent-education-platform-2025","title":"专家级智能体教育平台推出，重塑经管教育实践路径","titleEn":"Specialist agent education platform brings AI practice into finance and management teaching","summary":"数字财经研究中心推出专家级智能体教育平台，使经管专业学生无需编程背景即可完成智能体调优、知识库构建与成果发布。","summaryEn":"A specialist agent education platform developed by the Digital Finance Research Center enables finance and management students without programming backgrounds to build and deploy agent applications.","body":"## 平台定位\n\n2025年6月19日，中央财经大学数字财经研究中心推出专家级智能体教育平台。平台基于中心首创的“专家级智能体”理念，将智能体调优、工作流编排、知识库构建及成果发布等环节简化为经管专业学生可直接操作的工具，不要求编程基础。\n\n## 应用场景\n\n平台场景包括行业分析智能体生成行业分析报告，以及专家级客服在贵阳大数据交易所等场景的应用。中心同期推出“财经人学AI”公益教育平台，帮助财经专业师生掌握大型语言模型技术。\n\n## 技术基础\n\n平台核心成果“龙马书卷”大模型知识库已在交易所、海关、航运等行业应用，覆盖碳关税、碳排放交易体系（ETS）、数据资产化、碳金融等知识领域，采用内容增强型知识插槽技术（CEKS）与高质量知识库结合的方式组织专业知识。","bodyEn":"## Platform positioning\n\nOn 19 June 2025, the Digital Finance Research Center launched a specialist agent education platform. Built on the Center's \"specialist agent\" concept, the platform simplifies agent tuning, workflow orchestration, knowledge-base construction and publication into tools that finance and management students can use directly, without a programming background.\n\n## Applications\n\nUse cases include an industry-analysis agent that generates analytical reports, and a specialist customer-service application deployed at venues including the Guiyang Big Data Exchange. The Center concurrently introduced the \"Finance Professionals Learn AI\" public-interest platform to help finance faculty and students master large-language-model techniques.\n\n## Technical foundation\n\nThe platform's core achievement, the Longma Shujuan large-model knowledge base, is already applied across exchanges, customs and shipping, covering carbon border measures, emissions trading systems, data assetisation and carbon finance, organised using Content-Enhanced Knowledge Slots (CEKS) combined with a high-quality knowledge base.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://www.digicarbon.cn/news/8453080","type":"Article","title":"中财数碳推出专家级智能体平台","authors":[],"authorEntities":[],"publisher":"中财数碳（北京）科技有限公司","datePublished":"2025-06-19","url":"https://www.digicarbon.cn/news/8453080"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"}],"regions":[],"sources":[{"title":"中财数碳：中财数碳推出专家级智能体平台","url":"https://www.digicarbon.cn/news/8453080"}],"citations":{"apa":"中财数碳（北京）科技有限公司. (June 19, 2025). 中财数碳推出专家级智能体平台. https://www.digicarbon.cn/news/8453080"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/sustainable-digital-finance-seminar-2019","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/sustainable-digital-finance-seminar-2019","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/sustainable-digital-finance-seminar-2019","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/sustainable-digital-finance-seminar-2019","title":"可持续数字金融研讨会","titleEn":"Sustainable Digital Finance Seminar","summary":"2019年，中央财经大学财经研究院举办可持续数字金融研讨会，议题连接绿色金融、数字技术、消费者行为与国际交流。","summaryEn":"A 2019 CUFE seminar bringing together academic, regulatory and industry perspectives on sustainable digital finance.","body":"2019年11月11日，可持续数字金融研讨会在中央财经大学举行。活动由中央财经大学财经研究院陈波主持，来自学界、监管机构与产业界的嘉宾参加。\n\n主题发言覆盖可持续数字金融的国际进展、中国碳普惠实践、第四次工业革命与供应链视角下的消费者决策。圆桌讨论进一步讨论可持续发展与数字金融的机构合作。\n\n## 国际与产学研联系\n\n参会机构包括联合国环境署可持续金融体系探寻项目、可持续数字金融联盟、世界经济论坛第四次工业革命中心、北京环境交易所、能源基金会和中国人民大学等。活动纳入财经研究院“财经·格致”论坛系列。\n\n","bodyEn":"## Seminar\n\nThe Sustainable Digital Finance Seminar was held at Central University of Finance and Economics on 11 November 2019. Bo Chen of CUFE's Institute of Finance and Economics chaired the event, which brought together participants from academia, regulatory bodies and industry.\n\n## Topics and participants\n\nThe programme addressed sustainable digital finance, inclusive personal carbon-reduction schemes, the Fourth Industrial Revolution and consumer decision-making. Participants included specialists from the UN Environment Programme Inquiry into the Design of a Sustainable Financial System, the Green Digital Finance Alliance, the Beijing Environment Exchange and the World Economic Forum's Centre for the Fourth Industrial Revolution.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://news.cufe.edu.cn/info/1002/49128.htm","type":"Article","title":"国内首场可持续数字金融研讨会在我校举行","authors":[],"authorEntities":[],"publisher":"中央财经大学新闻网","datePublished":"2019-11-17","url":"https://news.cufe.edu.cn/info/1002/49128.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":["中国","国际"],"event":{"id":"https://cufe-digital-finance-center.vercel.app/news/sustainable-digital-finance-seminar-2019#event","type":"Event","name":"可持续数字金融研讨会","startDate":"2019-11-11","endDate":"2019-11-11","attendanceMode":"in-person","location":"中央财经大学学术会堂604","organizers":["中央财经大学财经研究院"],"participants":["陈波，中央财经大学财经研究院副研究员、主持人","林光彬，中央财经大学财经研究院院长","余晓文，联合国环境署可持续金融体系探寻项目高级顾问","Marianne Haahr，可持续数字金融联盟董事","龚俊松，北京环境交易所副总裁","Danil Kerimi，世界经济论坛第四次工业革命中心副主任","于亢亢，中国人民大学农业与农村发展学院副教授","王冠，深圳市金融科技协会副秘书长","Katherine Foster，可持续数字金融联盟首席信息官","傅莎，能源基金会战略规划部","刘太金，新能博安科技公司","刘倩，中央财经大学财经研究院副研究员"]},"sources":[{"title":"中央财经大学新闻网：可持续数字金融研讨会","url":"https://news.cufe.edu.cn/info/1002/49128.htm"}],"citations":{"apa":"中央财经大学新闻网. (November 17, 2019). 国内首场可持续数字金融研讨会在我校举行. https://news.cufe.edu.cn/info/1002/49128.htm"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/unido-digital-carbon-finance-course-2021","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/unido-digital-carbon-finance-course-2021","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/unido-digital-carbon-finance-course-2021","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/unido-digital-carbon-finance-course-2021","title":"联合国工业发展组织绿色产业平台数字化与碳金融课程","titleEn":"Digitalisation and carbon finance course for the UNIDO Green Industry Platform","summary":"数字财经研究中心参与联合国工业发展组织绿色产业平台与德国TÜV莱茵举办的碳中和企业家研修计划。","summaryEn":"A CUFE record of a course on digitalisation and carbon finance delivered for a carbon-neutrality programme organised by the UNIDO Green Industry Platform and TÜV Rheinland.","body":"## 课程记录\n\n2021年6月27日，联合国工业发展组织绿色产业平台与德国TÜV莱茵共同举办的“碳中和企业家研修计划”第一期结业。中央财经大学财经研究院数字财经研究中心主任、金融研究室主任陈波受邀授课。\n\n## 课程主题\n\n课程从数字化与碳金融的交叉视角讨论企业碳中和议题。中央财经大学财经研究院《财经简报》记录了联合国工业发展组织绿色产业平台中国办公室及相关机构代表参加该项目。","bodyEn":"## Course record\n\nThe first Carbon-Neutrality Programme for Entrepreneurs, organised jointly by the UNIDO Green Industry Platform and TÜV Rheinland, concluded on 27 June 2021. Bo Chen, then Director of the Digital Finance Research Center and the Financial Research Office at CUFE's Institute of Finance and Economics, was invited to teach on the programme.\n\n## Subject\n\nThe course examined corporate carbon neutrality from the combined perspectives of digitalisation and carbon finance. CUFE's Finance and Economics Brief recorded the participation of representatives from the China office of the UNIDO Green Industry Platform and related institutions.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf","type":"Article","title":"陈波副研究员在联合国工业发展组织绿色产业平台授课","authors":[],"authorEntities":[],"publisher":"中央财经大学财经研究院《财经简报》","datePublished":"2021-06-27","url":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":["中国","国际"],"event":{"id":"https://cufe-digital-finance-center.vercel.app/news/unido-digital-carbon-finance-course-2021#event","type":"Event","name":"“碳中和企业家研修计划”第一期","startDate":"2021-06-27","endDate":"2021-06-27","attendanceMode":"online","location":"线上课程","organizers":["联合国工业发展组织绿色产业平台","德国TÜV莱茵"],"participants":["陈波，中央财经大学财经研究院数字财经研究中心主任、授课人","关成华，联合国工业发展组织绿色产业平台中国办公室主任","李晓西，联合国工业发展组织绿色产业平台中国办公室名誉主任","王世春，联合国工业发展组织总干事办公厅原主任","赵晓蕾，联合国工业发展组织上海投资促进办事处主任","陈伟康，德国TÜV莱茵大中华区工业服务与信息安全副总裁"]},"sources":[{"title":"中央财经大学财经研究院：《财经简报》2021年第7期","url":"https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"}],"citations":{"apa":"中央财经大学财经研究院《财经简报》. (June 27, 2021). 陈波副研究员在联合国工业发展组织绿色产业平台授课. https://ifer.cufe.edu.cn/__local/9/77/AF/69ECA3BD7D64EDB97637D15A620_A0FB8A87_3ECF34.pdf"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/esg-agent-2025","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/esg-agent-2025","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/esg-agent-2025","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/esg-agent-2025","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/esg-agent-2025","title":"ESG专业智能体与可持续发展知识服务","titleEn":"ESG specialist agent and sustainability knowledge services","summary":"经济学院可持续准则研究中心与数字财经研究中心联合研发SSRC专家级智能体及龙马ESG大模型知识库。","summaryEn":"A specialist agent and knowledge base jointly developed by the Sustainability Standards Research Center and the Digital Finance Research Center.","body":"## 联合研发\n\n2025年3月7日，中央财经大学经济学院可持续准则研究中心发布SSRC专家级智能体和“龙马ESG”大模型知识库。项目由可持续准则研究中心与数字财经研究中心联合研发，使用DeepSeek基座模型。\n\n## 数据与方法\n\n“龙马ESG”以超过770万字的基础语料构建专业数据集，采用内容增强型知识插槽技术（CEKS）组织知识。检索系统包括意图感知的语义自适应知识库引擎和层次矩阵编码，用于提高检索匹配、文档分类和内容更新效率；系统同时支持API集成。\n\n## 知识范围\n\n知识库覆盖境内外可持续准则、标准和政策法规，收录企业ESG信息披露案例、可持续信息鉴证资料、ESG评级模型及历史评级结果。主要使用场景包括企业可持续信息披露、ESG评级、交易所和资本市场研究。\n\n## 后续计划\n\n经济学院发布信息提出，将继续开发系列功能型SSRC专家级智能体，重点包括意图识别、自动化知识推理、专业问答、数据解读和辅助判断。","bodyEn":"## Joint development\n\nOn 7 March 2025, the Sustainability Standards Research Center at CUFE's School of Economics released the SSRC specialist agent and the Longma ESG large-model knowledge base. The two resources were jointly developed by the Sustainability Standards Research Center and the Digital Finance Research Center using a DeepSeek foundation model.\n\n## Data and methods\n\nLongma ESG is built on a specialist dataset containing more than 7.7 million Chinese characters of source material. It uses Content-Enhanced Knowledge Slots (CEKS) to organise knowledge. Its retrieval system combines an intent-aware semantic engine with hierarchical matrix encoding to support matching, document classification and content updates. The system also supports API integration.\n\n## Knowledge coverage\n\nThe knowledge base covers domestic and international sustainability standards, policies and regulations, corporate ESG disclosure cases, sustainability assurance materials, ESG rating models and historical ratings. Its principal applications include corporate sustainability disclosure, ESG assessment, and research for exchanges and capital markets.\n\n## Planned development\n\nThe School of Economics stated that further functional SSRC specialist agents would address intent recognition, automated knowledge reasoning, professional question-answering, data interpretation and decision support.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-05","dateModified":"2026-09-06","version":2,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://econ.cufe.edu.cn/info/1220/8411.htm","type":"Article","title":"经济学院可持续准则研究中心发布首个DeepSeek ESG专家级智能体","authors":["王莘茹"],"authorEntities":[{"name":"王莘茹"}],"publisher":"中央财经大学经济学院","datePublished":"2025-03-07","url":"https://econ.cufe.edu.cn/info/1220/8411.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学经济学院：ESG专家级智能体发布报道","url":"https://econ.cufe.edu.cn/info/1220/8411.htm"}],"citations":{"apa":"王莘茹. (March 7, 2025). 经济学院可持续准则研究中心发布首个DeepSeek ESG专家级智能体. https://econ.cufe.edu.cn/info/1220/8411.htm"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025#webpage","type":"WebPage","contentType":"news","url":"https://cufe-digital-finance-center.vercel.app/news/longma-shujuan-2025","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/news/longma-shujuan-2025","textUrl":"https://cufe-digital-finance-center.vercel.app/text/news/longma-shujuan-2025","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/news/longma-shujuan-2025","urlEn":"https://cufe-digital-finance-center.vercel.app/en/news/longma-shujuan-2025","title":"龙马书卷专业智能体与财经应用","titleEn":"Longma Shujuan specialist agents and financial applications","summary":"财经研究院数字财经研究中心的专业大模型智能体工作，涉及财经应用、航运碳履约与公益教育。","summaryEn":"Work by the Digital Finance Research Center on specialist large-model agents for financial applications, maritime carbon compliance and public-interest education.","body":"## 发布情况\n\n2025年3月4日，中央财经大学新闻网发布“龙马书卷”专家级大模型智能体的相关情况。该项工作由财经研究院数字财经研究中心开展，陈波研究员课题组主持研发。\n\n## 技术与知识组织\n\n“龙马书卷”采用内容增强型知识插槽技术（CEKS）和专业大模型数据集组织知识，面向垂直领域的检索、分析与问答任务。校新闻网同时介绍了知识结构优化、知识密度提升和检索准确性等技术目标。\n\n## 应用方向\n\n报道列出的应用包括交易所、海关和航运场景，覆盖碳关税、碳排放交易体系（ETS）、数据资产、碳金融、ESG和财务风控。相关技术支持的“基于高精度连续监测技术的航运智能碳履约系统”获得沙河高教园区高校成果概念验证项目立项。\n\n## 教学与学科合作\n\n同期推出的“财经人学AI”公益教育平台为财经专业师生提供大模型学习资源和工具。研究中心还以“专家级智能体+X”的方式推进跨学科合作，探索专业智能体在其他学科中的使用。","bodyEn":"## Release\n\nOn 4 March 2025, CUFE News reported on the release of the Longma Shujuan specialist large-model agents. The work was undertaken by the Digital Finance Research Center at CUFE's Institute of Finance and Economics and led by a research team headed by Bo Chen.\n\n## Technology and knowledge organisation\n\nLongma Shujuan uses Content-Enhanced Knowledge Slots (CEKS) and domain-specific large-model datasets to organise knowledge for retrieval, analysis and question-answering in specialist fields. The university report also described technical work on knowledge structure, information density and retrieval accuracy.\n\n## Applications\n\nThe applications identified in the report span stock exchanges, customs and shipping. They include carbon border measures, emissions trading systems, data assets, carbon finance, ESG and financial risk control. A related smart carbon-compliance system for shipping, supported by high-precision continuous monitoring, received proof-of-concept funding from the Shahe Higher Education Park.\n\n## Education and interdisciplinary work\n\nThe Finance Professionals Learn AI public-interest platform was introduced alongside the specialist agents, providing learning materials and tools for finance students and practitioners. The Center has also pursued an “expert agent plus X” approach to interdisciplinary applications.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-05","dateModified":"2026-09-06","version":2,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://news.cufe.edu.cn/info/1003/60789.htm","type":"Article","title":"财经研究院发布“龙马书卷”专家级大模型（LLM）智能体","authors":["陈波"],"authorEntities":[{"name":"陈波","id":"https://cufe-digital-finance-center.vercel.app/experts/chen-bo#person"}],"publisher":"中央财经大学新闻网","datePublished":"2025-03-04","url":"https://news.cufe.edu.cn/info/1003/60789.htm"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":[],"sources":[{"title":"中央财经大学新闻网：龙马书卷发布报道","url":"https://news.cufe.edu.cn/info/1003/60789.htm"}],"citations":{"apa":"陈波. (March 4, 2025). 财经研究院发布“龙马书卷”专家级大模型（LLM）智能体. https://news.cufe.edu.cn/info/1003/60789.htm"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026#article","type":"ScholarlyArticle","contentType":"reports","url":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/reports/china-medical-ai-listed-companies-2026","textUrl":"https://cufe-digital-finance-center.vercel.app/text/reports/china-medical-ai-listed-companies-2026","title":"中国医疗AI上市公司研究报告（2026）：产品布局、医院应用与商业化进程","titleEn":"Chinese Listed Medical AI Companies (2026): Product Portfolios, Hospital Applications and Commercialization","summary":"以卫宁健康、鹰瞳科技、科大讯飞、联影医疗、迈瑞医疗、奕瑞科技和康众医疗为样本，比较医疗AI的产品布局、医院应用与商业化进程，并开展固定样本转型竞争力指数试算。资料截至2026年8月31日。","summaryEn":"This report examines seven Chinese listed companies across medical software and algorithms, intelligent medical equipment, and imaging components. Drawing on public disclosures available through August 31, 2026, it compares product portfolios, hospital workflows, revenue recognition, international business and financial capacity. It also presents a fixed-sample trial index of medical AI transformation competitiveness, with explicit scoring dimensions and limitations.","body":"**资料截止日期**：2026年8月31日  \n**研究性质**：公开资料行业研究稿  \n**声明**：本文用于行业信息研究，不构成证券投资建议、投资评级、医疗建议或对产品临床效果的独立认证。\n\n## 摘要\n\n医疗AI覆盖医疗软件、受监管算法产品、整机智能化、医学影像采集部件和区域服务等多类业务。它们进入医院的方式不同，收入确认的基础也不同。对上市公司而言，产品是否形成明确应用场景，是否完成相应准入与系统集成，是否进入稳定的医院使用流程，以及相关业务能否在财务披露中持续识别，是更具区分度的观察点。\n\n本报告选取卫宁健康、鹰瞳科技、科大讯飞、联影医疗、迈瑞医疗、奕瑞科技和康众医疗作为观察样本。样本覆盖医疗信息化、专用算法软件、通用AI医疗应用、医学影像整机与影像采集部件等不同入口。七家公司2025年营业收入介于1.73亿元和332.82亿元之间。收入规模与AI业务成熟度属于不同维度：部分公司披露了AI产品线或医疗分部收入，部分公司将AI作为设备和解决方案能力的一部分，还有部分公司处在由影像采集向智能影像解决方案延展的阶段。\n\n因此，行业比较需要回到产品、应用和商业化三项基础工作。对软件公司，应看产品收入、服务网点、调用量、续费与回款；对设备公司，应看AI功能是否进入标准产品、模块采购和服务合同；对影像采集和部件公司，应看新产品的注册、客户使用、并表后的收入毛利与现金流变化。把这几类公司置于同一名单可以帮助理解产业链，却不能替代对各自业务模型的判断。\n\n## 研究范围与分类口径\n\n国家卫生健康委等部门发布的《卫生健康行业人工智能应用场景参考指引》已将医学影像智能辅助诊断、影像数据智能质控和基层全科辅助决策列入不同应用场景；《关于促进和规范“人工智能+医疗卫生”应用发展的实施意见》进一步提出基层诊疗、专科专病决策和医学影像辅助诊断等方向。政策的作用是明确需求方向，并不改变医疗产品进入医院所需经历的产品化、合规、部署、使用和服务过程。[1][2]\n\n从产品形态看，医疗AI上市公司可分为三类：医疗软件与算法产品通常以临床软件、辅助筛查、区域平台和智能助手进入医疗机构；设备内生智能化把成像、定位、测量、质控或报告功能嵌入整机；影像采集与系统延展则由探测器、核心部件、图像处理和智能影像解决方案逐步覆盖更多环节。对应的样本公司分别为卫宁健康、鹰瞳科技、科大讯飞；联影医疗、迈瑞医疗；奕瑞科技、康众医疗。\n\n三类公司的共同点是都与医疗数据、算法或智能化功能有关；差异则在于产品责任、客户决策链条和会计口径。以设备收入替代AI收入、以一次中标替代持续使用、以注册证替代收入确认，都会造成比较失真。\n\n![三类技术与商业化路径](/reports/china-medical-ai-listed-companies-2026/figure-01.png)\n\n*图1：三类业务入口的技术与商业化路径。图示用于说明不同产品形态的收入识别方式，不表示企业排名、产品性能或市场份额。*\n\n## 政策环境与县域影像中心建设\n\n医疗AI的市场并不只由医院采购一套软件或一台设备构成。近两年的政策重点已经转向区域协同、县域医共体和基层能力建设，需求单元相应从单点产品扩展到影像采集、数据汇聚、远程诊断、结果互认、质量管理与持续服务。\n\n2025年发布的《紧密型县域医共体信息化功能指引》提出五个方面36项功能，其中区域医疗服务协同应用包含医学影像诊断、心电诊断、医学检验、病理诊断、远程会诊、消毒供应和医疗急救等七个资源共享中心。2023年《关于全面推进紧密型县域医疗卫生共同体建设的指导意见》提出，到2025年底力争全国90%以上的县基本建成紧密型县域医共体，到2027年底基本实现全覆盖。2026年3月发布、9月1日起实施的《紧密型县域医共体医学影像中心设置标准》，则把规划、建设和管理要求进一步落到影像中心的场所、设备、人员、信息化和管理环节。[20]-[22]\n\n![政策到县域影像中心的市场形成路径](/reports/china-medical-ai-listed-companies-2026/figure-02.png)\n\n*图2：政策要求如何转化为县域影像中心的建设、集成与服务需求。图示概括公共建设链条，不代表单一地区的招采流程或项目规模。*\n\n| 政策与标准 | 直接建设要求 | 对市场形成的影响 |\n| --- | --- | --- |\n| 县域医共体信息化功能指引 | 建设区域影像诊断、远程会诊、结果互认等共享能力 | 采购对象由单家机构的设备与软件，延伸为区域平台、接口集成与运维服务 |\n| “人工智能+医疗卫生”实施意见 | 支持省级统筹集约化开展影像辅助诊断、报告生成和影像质量评价；到2030年推动二级以上医院普遍开展医学影像智能辅助诊断 | 产品需要适配多层级机构和不同影像模态，能够进入既有信息系统与服务流程 |\n| 县域医共体医学影像中心设置标准 | 对影像中心的规划、建设、设施设备、人员、信息化、安全和管理提出要求 | 设备、数据治理、系统连接和质量管理成为同一建设任务的组成部分 |\n| 医疗卫生强基工程 | 以省份或地市为单位统筹县域医共体信息化，推进检查检验结果互通，并推广影像和图形智能辅助诊断 | 形成以区域协同为基础的长期建设与服务需求，同时受地方财政、医保支付和项目实施节奏影响 |\n\n*表1：政策要求与建设需求的对应关系。来源：国家卫生健康委有关政策、标准及国务院《医疗卫生强基工程实施方案》。[2][20]-[22][25]*\n\n国家卫生健康委公布的2024年统计公报显示，全国医疗卫生机构总数为109.36万个，其中医院3.87万家；一、二级医院和基层医疗卫生机构诊疗人次为67.6亿，占总诊疗人次的66.6%。这一医疗供给结构意味着，医学影像智能化的需求不仅来自大型医院，也来自基层检查、上级诊断、区域共享与结果互认的协同安排。[23]\n\n市场规模不能直接用医疗机构数量乘以单价推算。县域项目通常同时包含设备更新、信息化建设、系统接口、存储计算和后续运营，预算还会受到地方建设进度、既有系统、财政安排和采购方式影响。以福建连江县总医院县域医共体资源共享中心能力提升项目为例，公开文件披露项目概算总投资6491.37万元，其中设备采购4373.30万元、信息化建设1805.00万元；这是一个可观察的综合建设案例，不代表全国平均项目金额。[24]\n\n现有公开资料尚无同时覆盖设备、软件、数据服务和运维收入的全国统一市场统计。行业比较宜按需求类型展开：设备更新和影像采集对应硬件与部件，区域平台、接口和数据治理对应信息化与集成服务，辅助诊断、质量控制和报告生成对应软件产品与持续服务。政策形成的是对产品组合、交付能力、渠道覆盖和区域协同能力的持续要求，不直接构成可确认收入。\n\n## 产品布局与技术路径\n\n医疗AI从研究模型走向可销售产品，通常需要明确预期用途、数据范围、软件功能、性能评价和网络安全要求。国家药监局医疗器械技术审评中心已发布人工智能医疗器械、医疗器械软件和网络安全注册审查指导原则。国际医疗器械监管机构论坛（IMDRF）对软件作为医疗器械的临床评价也提出了相应要求。[3]-[6]\n\n在算法产品方向，鹰瞳科技2025年报披露，视网膜检测AI产品线收入为1.208亿元，近视防控AI产品线收入为0.439亿元；Airdoc-AIFUNDUS 2.0于2025年4月取得第三类医疗器械注册证。科大讯飞披露2025年智慧医疗收入8.58亿元，其“智医助理”覆盖806个区县、超过7.7万个基层医疗机构。卫宁健康则将医疗大模型和智能助手嵌入医疗信息化产品，其收入仍主要按软件与技术服务等口径披露。[10]-[12]\n\n在设备智能化方向，联影医疗将AI功能纳入MR、CT、XR、超声和放疗等产品，2025年设备收入为113.90亿元、服务收入为17.08亿元；迈瑞医疗提出“设备+IT+AI”的数智医疗系统，年报披露瑞智联M-Connect累计签单项目超过880个、医学影像收入57.17亿元。两家年报均未单列AI收入，研究时宜观察智能化能力对设备配置、服务收入和客户黏性的带动情况，并将整机收入与可单列的AI业务区分开来。[13][14]\n\n在影像采集与系统延展方向，奕瑞科技仍以数字化X线探测器和X射线核心部件为主要业务基础，2025年探测器收入17.15亿元；年报同时披露其围绕嵌入式图像处理和综合解决方案持续拓展。康众医疗的既有业务同样以数字化X射线平板探测器为基础。2026年6月30日，公司取得脉得智能控制权并将其纳入合并范围；康众医疗2026年半年报明确说明，受并表时点影响，上半年经营成果影响较小。脉得智能ITS-200为甲状腺结节超声影像辅助诊断软件，技术审评报告明确其不能替代病理检查，也不能单独用于临床决策。[15]-[17]\n\n康众医疗原有业务的量化结构，为观察这一路径提供了一个具体样本。2025年，公司主营业务中境外收入为1.38亿元，同比增长23.80%，占主营业务地区收入44.98%；工业及安检收入1.00亿元，同比增长52.49%。同期医疗收入2.07亿元，同比下降7.35%，境内收入同比下降4.88%。对以探测器和成像部件为基础的企业而言，这样的结构意味着新产品不必完全依赖单一地区、单一医疗采购周期来寻找商业入口：已有的境外业务和工业安检业务，能够支撑产品迭代、制造交付和渠道维护，并为智能影像产品的后续市场拓展保留更大的业务组合空间。[16]\n\n![2025年上市影像企业境外收入占比](/reports/china-medical-ai-listed-companies-2026/figure-03.png)\n\n*图3：五家境内上市影像设备或核心部件企业的境外收入结构对比。康众、奕瑞、万东、联影按主营业务地区收入计算，迈瑞按年报披露的合并口径列示。该指标反映收入地域结构，不代表海外市场份额。[13]-[16][26]*\n\n五家样本的境外收入占比介于25.79%和约53%之间，康众医疗为44.98%。这类比较提供的是企业收入地域结构的横截面，而非海外市场份额。对以成像采集和客户交付为起点的康众医疗而言，境外收入占比和工业安检业务增长使原有业务不完全依赖单一地区或单一医疗采购周期。现有年报尚未将境外收入拆分为智能影像或超声AI相关收入，海外协同仍应以新产品的注册、销售和客户使用披露为准；从既有业务看，海外和工业端已经构成后续产品进入市场时可以依托的销售与服务网络。[16]\n\n同一五家样本在2025年末的资产负债率介于12.73%和47.98%之间，康众医疗为最低。结合境外收入结构，这一财务指标说明公司在收购前具有较低的杠杆起点，能够以现金收购和并购融资推进产品边界延展。公司年报援引IHS Markit 2018年统计所披露的“全球第九、国内企业第二”，则提供了这一探测器业务基础的历史行业坐标；该位次仅适用于2018年医疗及宠物医疗数字化X射线平板探测器市场，不能替代当前市场排名。[16]\n\n![2025年五家上市影像企业资产负债率](/reports/china-medical-ai-listed-companies-2026/figure-04.svg)\n\n*图4：五家样本公司2025年末资产负债率对比，按负债合计除以资产总额计算。康众医疗的12.73%为收购脉得智能前的年末合并口径；该图不代表2026年并表后的资本结构。[13]-[16][26]*\n\n资本结构的变化同样需要与业务转型放在一起看。康众医疗2025年末资产负债率为12.73%，为其采用现金收购和并购融资的方式延展产品边界提供了财务起点。收购完成后，截至2026年6月30日，公司合并资产负债率升至39.06%；货币资金为2.70亿元，短期借款、长期借款和一年内到期的非流动负债合计3.59亿元，商誉和无形资产合计4.46亿元。由此，原有的低杠杆不应被理解为转型已经没有成本；更合适的理解是，公司以原有的资本结构取得了加快产品布局的条件，而并表后的经营贡献、借款安排与商誉、无形资产的后续变化，将共同反映这一安排的实际效果。[17]\n\n![医学影像AI技术路线图](/reports/china-medical-ai-listed-companies-2026/figure-05.png)\n\n*图5：医学影像AI涵盖影像采集、质量控制、算法处理、院内连接、临床辅助与持续服务等技术环节。不同产品可能只覆盖其中部分环节；图示不代表任何单一企业的完整能力。*\n\n医学影像AI的产品价值涉及模型性能、外部验证、跨机构泛化、真实临床场景、错误处置和持续监测。上述要素在上市公司层面对应产品准入、实施成本、医院信息系统连接、医生接受度和服务交付效率。[7]-[9]\n\n从技术环节看，影像采集决定原始数据的质量和可用范围。X射线、CT、超声等模态在设备参数、图像格式、检查流程和操作者差异上并不相同；采集端的探测器、成像链、图像处理和质量控制，影响后续算法可以处理的数据条件。对于从部件和采集端起步的公司，产品升级的价值首先表现为成像质量、设备适配和稳定交付，是否进一步形成软件和服务收入，则取决于后续产品组合与客户使用。\n\n算法处理通常涉及图像重建、质量判定、病灶检出、分割、定量分析或辅助提示。不同功能对应不同的预期用途和临床责任，不能简单归并为同一类“诊断AI”。以甲状腺结节超声影像辅助诊断软件为例，ITS-200用于对医生手工勾画的特定结节给出疑似恶性提示，其产品定位与可替代病理判断的临床工具并不相同。[17]\n\n院内连接是医疗AI规模应用中常被低估的一环。影像产品通常要与DICOM、PACS、RIS、HIS等系统协同，处理图像调阅、身份关联、结果回写、权限管理和版本维护。IHE发布的医学影像AI工作流资料将AI结果与影像信息系统的衔接作为专门场景。对设备、软件和部件企业而言，能否把智能功能纳入现有流程，往往比单独展示算法功能更接近商业化能力。[19]\n\n## 医院应用与工作流接入\n\n医疗AI的市场应用可大致分为筛查与健康管理、辅助诊断与质控、院内信息系统协同、设备端智能成像和区域医疗服务。不同场景的采购主体、支付方式和验收逻辑不尽相同。\n\n| 应用场景 | 产品进入方式 | 医院或客户通常关注的事项 | 不宜混同的状态 |\n| --- | --- | --- | --- |\n| 筛查与健康管理 | 软件即服务、按次调用、硬件配套 | 服务网点、调用量、复购、数据治理 | 注册、部署、调用与收入 |\n| 辅助诊断与质控 | 独立软件、设备模块、院内集成 | 预期用途、影像质量、医生使用流程、系统接口 | 获证、试用、采购、验收与临床使用 |\n| 设备端智能成像 | 标准配置或选配模块 | 成像效率、操作流程、维护服务、升级需求 | 设备销售、软件模块收入与服务收入 |\n| 区域与基层医疗 | 平台项目、软件服务、运营支持 | 数据标准、部署能力、项目验收、持续运维 | 签约、上线、项目确认、回款与续约 |\n\n2026年7月，中国政府采购网披露四川大学华西医院采购一套甲状腺结节超声影像辅助诊断软件，中标金额92.7万元。该公告确认了一次公开采购结果；大范围装机、验收状态、后续使用频次及上市公司层面的收入贡献仍需以相应公开披露判断。对所有医疗AI公司而言，公开采购资料提供了可追溯的项目线索，定期报告则承担经营数据的确认作用。[18]\n\n从系统集成角度看，医学影像产品通常需要与DICOM、PACS、RIS、HIS等系统发生连接。软件产品、设备模块和数据服务在医院内承担的职责不同，采购周期、部署难度和后续服务模式也随之变化。行业研究应将“展示AI功能”与“在医院持续运行”分开描述。\n\n## 商业化进程与收入识别\n\n七家样本公司均披露了医疗AI、医学影像智能化或相关产品能力，财务口径存在显著差异。下表使用2025年年报的合并营业收入，并保留公司对AI或医疗业务的原始披露口径。金额为人民币；鹰瞳科技以人民币千元列报，已换算为亿元。\n\n| 公司 | 2023年营业收入 | 2024年营业收入 | 2025年营业收入 | 2025年同比 | 可识别的相关收入或经营口径 |\n| --- | ---: | ---: | ---: | ---: | --- |\n| 卫宁健康 | 31.63亿元 | 27.82亿元 | 21.06亿元 | -24.30% | 医疗信息化软件及服务；未单列AI收入 |\n| 鹰瞳科技 | 2.04亿元 | 1.56亿元 | 1.73亿元 | +10.80% | 视网膜检测AI、近视防控AI产品线收入 |\n| 科大讯飞 | 196.50亿元 | 233.43亿元 | 271.05亿元 | +16.12% | 智慧医疗收入8.58亿元 |\n| 联影医疗 | 114.11亿元 | 103.00亿元 | 138.00亿元 | +33.98% | 设备、服务收入；未单列AI收入 |\n| 迈瑞医疗 | 349.32亿元 | 367.26亿元 | 332.82亿元 | -9.38% | 医学影像收入57.17亿元；未单列AI收入 |\n| 奕瑞科技 | 18.64亿元 | 18.31亿元 | 22.51亿元 | +22.90% | 探测器及核心部件收入；未单列AI软件收入 |\n| 康众医疗 | 2.74亿元 | 2.98亿元 | 3.21亿元 | +7.63% | 医疗领域收入2.07亿元；2026年新增脉得智能并表入口 |\n\n*表2：核心样本三年营业收入与相关业务口径。来源：各公司2025年年度报告；康众医疗2026年半年度报告。详见本报告“资料来源”。*\n\n2025年收入规模反映的是上市公司整体业务，而非AI业务的横向排名。科大讯飞的智慧医疗收入、鹰瞳科技的AI产品线收入，属于相对直接的相关收入线索；联影医疗、迈瑞医疗、奕瑞科技和康众医疗的智能化能力则分别嵌入设备、部件、解决方案或新纳入业务之中。对于这些公司，观察重点应放在产品收入、服务收入、模块渗透、客户使用和现金流的连续变化上。\n\n康众医疗的情况说明了并购延展型公司需要采用与既有业务分开的比较口径。公司2026年取得脉得智能控制权，使合并范围增加超声AI质控与辅助诊断产品入口。截至2026年6月30日并表，半年报披露的影响尚小。对其商业化进程的判断，除关注并表后的注册产品销售、客户使用、收入毛利和现金流披露外，还应关注海外客户是否出现可披露的产品协同，以及并购形成的借款、商誉和无形资产能否与新增经营贡献相匹配；交易本身不能直接等同于新增经营成果。[16][17]\n\n## 医疗AI转型竞争力指数：固定样本试算\n\n医疗AI上市公司的收入规模、产品形态和商业模式存在显著差异。软件公司以独立产品或服务收入体现业务，设备企业通常通过整机、模块和服务合同实现价值，影像采集企业则由成像部件、数据连接和客户交付向智能影像产品线延展。本节在七家固定样本内设置医疗AI转型竞争力指数，评价产品合规、医院工作流、技术数据、转型执行、国际化渠道、财务弹性和再投入能力。\n\n该指数不以市值、营业收入或单一注册证决定排序。产品与合规、转型执行各占20分；医院工作流、国际化渠道和财务弹性各占15分；技术与数据基础占10分；规模与再投入能力占5分。指数反映产品临床应用、组织转型和客户服务的综合条件，不等同于营业收入排名。[27]-[29]\n\n![医疗AI转型竞争力指数评分结构](/reports/china-medical-ai-listed-companies-2026/figure-06.svg)\n\n*图6：医疗AI转型竞争力指数的评分结构。规模与再投入能力权重为5%，其余95分由产品、医院工作流、技术数据、转型执行、国际化与财务条件构成。*\n\n| 评价维度 | 权重 | 主要观察内容 | 不直接替代该项能力的公开资料 |\n| --- | ---: | --- | --- |\n| 医疗AI产品与合规进程 | 20 | 产品名称、预期用途、注册、产品化和收入识别 | 算法研发、产品演示或概念发布 |\n| 医疗工作流与商业落地 | 15 | 医院接入、交付、验收、服务、复购与持续使用 | 一次中标或一次签约 |\n| 技术与数据基础 | 10 | 成像、软件、数据连接、研发和产品工程化 | 仅以专利数量推断能力 |\n| 转型执行与团队能力 | 20 | 产品推进、并购完成、整合、组织和协同事实 | 并购意向、交易目标或业绩承诺 |\n| 国际化与渠道韧性 | 15 | 境外收入、海外准入、渠道和交付服务 | 将境外收入直接视为AI收入 |\n| 财务弹性与资本配置 | 15 | 现金流、负债、研发持续性和资本安排 | 收购前后资本结构口径混用 |\n| 规模与再投入能力 | 5 | 业务规模对研发和服务投入的支持 | 以收入规模直接决定医疗AI排名 |\n\n首期样本沿用本报告的七家公司，所有公司按同一资料截止日评分；公开资料覆盖率同步展示，用于说明年报、公告、监管或采购资料是否足以支撑相应分项，不能理解为经营质量或投资价值判断。得分相同的公司按“医疗AI产品与合规进程”分项排序。\n\n![固定样本总分与公开资料覆盖率](/reports/china-medical-ai-listed-companies-2026/figure-07.svg)\n\n*图7：七家固定样本公司的医疗AI转型竞争力得分与公开资料覆盖率。覆盖率反映可核查资料的完整程度，不代表企业经营质量。*\n\n| 位次 | 公司 | 医疗AI转型竞争力得分 | 公开资料覆盖率 | 主要业务入口 |\n| ---: | --- | ---: | ---: | --- |\n| 1 | 迈瑞医疗 | 80 | 86% | 设备内生智能化 |\n| 2 | 联影医疗 | 74 | 84% | 设备内生智能化 |\n| 3 | 科大讯飞 | 70 | 90% | 通用AI医疗应用 |\n| 4 | 鹰瞳科技 | 59 | 88% | 专用医疗AI软件 |\n| 5 | 康众医疗 | 59 | 80% | 影像采集向智能影像延展 |\n| 6 | 奕瑞科技 | 49 | 78% | 影像采集与系统延展 |\n| 7 | 卫宁健康 | 47 | 86% | 医疗信息化与智能助手 |\n\n从分项看，设备内生智能化路径通常在产品覆盖、工程交付和服务体系上具备基础；专用医疗AI软件更容易形成可识别的产品收入和注册信息；影像采集与系统延展路径则更依赖成像基础、客户渠道、新产品销售和并表后的整合效果。康众医疗和奕瑞科技均属于后一路径，二者均不应将探测器及核心部件收入直接计为AI收入。\n\n![七家公司分项得分矩阵](/reports/china-medical-ai-listed-companies-2026/figure-08.svg)\n\n*图8：七家公司分项得分矩阵。颜色深浅表示各公司在相应维度的得分占该维度满分的比例，不同列满分不同。*\n\n专用医疗AI软件的比较重点为产品收入和注册进度；通用AI医疗应用重点为医疗业务收入、基层工作流和机构使用；医疗信息化企业重点为软件服务、项目验收、续费和现金回收。设备内生智能化路径宜考察产品矩阵、模块渗透、服务收入与海外准入；影像采集与系统延展路径宜考察成像基础、新产品销售、客户结构和整合后的经营贡献。\n\n医疗AI竞争力还取决于产品能否进入医院的实际工作流。横轴汇总产品与工作流得分，纵轴汇总转型执行、国际化与财务弹性得分。不同业务入口在这一矩阵中的位置，反映的是可公开核查的组合条件，而非临床性能、市场份额或投资价值。[19]\n\n![产品落地与转型条件矩阵](/reports/china-medical-ai-listed-companies-2026/figure-09.svg)\n\n*图9：产品落地与转型条件矩阵。设备、软件和影像采集企业以不同颜色表示业务入口。*\n\n| 比较问题 | 应优先使用的公开资料 | 不应混同的资料 |\n| --- | --- | --- |\n| 产品是否可以进入临床场景 | 注册信息、预期用途、设备适配说明 | 论文准确率、产品演示 |\n| 医疗机构是否持续使用 | 交付、验收、续费、活跃使用或服务收入 | 单次采购、中标公告 |\n| 转型是否进入上市公司经营体系 | 控制权、并表时点、产品与组织调整、合并报表 | 收购公告、交易目标 |\n| 海外渠道是否可支持产品延展 | 境外收入、海外注册、渠道和售后服务披露 | 将境外业务自动认定为AI业务 |\n| 财务是否支持持续投入 | 现金流、债务、研发、商誉和无形资产变化 | 单一时点的低资产负债率 |\n\n2025年营业收入采用各公司合并口径，与指数得分相关但不构成线性关系。设备企业的业务规模支持研发和服务投入；具备明确AI产品收入或受监管产品的专用软件公司，可在产品与合规维度获得较高得分。规模权重限定为5分，避免将固定样本比较简化为营业收入排序。\n\n![收入规模与转型竞争力得分](/reports/china-medical-ai-listed-companies-2026/figure-10.svg)\n\n*图10：2025年营业收入与医疗AI转型竞争力得分。横轴为营业收入对数刻度（亿元）；指数中规模与再投入能力仅占5分。*\n\n在本期样本中，迈瑞医疗、联影医疗和科大讯飞的业务规模为研发、产品迭代和服务投入提供了不同程度的支持；鹰瞳科技则以可识别的AI产品收入和第三类注册信息体现专用软件路径。康众医疗与奕瑞科技的既有业务仍以影像采集和核心部件为基础，相关收入不能直接改写为AI收入，后续应以智能影像产品的销售、客户使用和并表后的经营贡献判断其转型进展。\n\n本期前五名仅适用于上述七家公司、资料截止日和评分规则。后续位次将根据AI医疗器械注册、医院工作流使用、软件和服务收入、并购后的经营贡献、海外产品交付及资本结构变化更新。\n\n## 结论\n\n医疗AI上市公司的比较应以产品类型、医院应用和收入识别为基础。算法软件的相关收入通常可在财务披露中识别；设备和部件企业的智能化价值则更多体现在产品功能、客户使用、配置升级和服务收入。对于通过并购新增产品入口的企业，合并报表后的销售、毛利和现金流变化反映新业务在上市公司经营中的实际位置。\n\n## 资料来源\n\n[1] 国家卫生健康委等：《卫生健康行业人工智能应用场景参考指引》，2024年11月。<https://www.nhc.gov.cn/guihuaxxs/c100133/202411/3dee425b8dc34f739d63483c4e5c334c/files/1733227133524_47343.pdf>\n\n[2] 国家卫生健康委等：《关于促进和规范“人工智能+医疗卫生”应用发展的实施意见》，2025年11月4日。<https://www.nhc.gov.cn/guihuaxxs/c100133/202511/d1a42ae835c743b9b3e83ac0253c3e9f.shtml>\n\n[3] 国家药品监督管理局医疗器械技术审评中心：《人工智能医疗器械注册审查指导原则》，2022年。<https://www.cncsdr.org/ggtz/ggzz/202203/t20220311_304188.html>\n\n[4] 国家药品监督管理局医疗器械技术审评中心：《医疗器械软件注册审查指导原则（2022年修订版）》，2022年。<https://www.ccfdie.org/zryyxxw/zxdt/webinfo/2022/03/1648289422552123.htm>\n\n[5] 国家药品监督管理局医疗器械技术审评中心：《医疗器械网络安全注册审查指导原则（2022年修订版）》，2022年。<https://www.cncsdr.org/ggtz/ggzz/202203/t20220311_304187.html>\n\n[6] IMDRF. *Software as a Medical Device (SaMD): Clinical Evaluation*. 2017. <https://www.imdrf.org/documents/software-medical-device-samd-clinical-evaluation>\n\n[7] RAJPURKAR P, CHEN E, BANERJEE O, et al. AI in health and medicine. *Nature Medicine*, 2022, 28:31-38. <https://doi.org/10.1038/s41591-021-01614-0>\n\n[8] VASEY B, NAGENDRAN M, CAMPBELL B, et al. DECIDE-AI. *Nature Medicine*, 2022, 28:924-933. <https://doi.org/10.1038/s41591-022-01772-9>\n\n[9] KELLY C J, KARTHIKESALINGAM A, SULEYMAN M, et al. Key challenges for delivering clinical impact with artificial intelligence. *BMC Medicine*, 2019, 17:195. <https://doi.org/10.1186/s12916-019-1426-2>\n\n[10] 北京鹰瞳科技发展股份有限公司：《2025年度报告》，2026年4月29日。<https://www1.hkexnews.hk/listedco/listconews/sehk/2026/0429/2026042904252.pdf>\n\n[11] 科大讯飞股份有限公司：《2025年年度报告》，2026年4月29日。<https://static.cninfo.com.cn/finalpage/2026-04-29/1225233581.PDF>\n\n[12] 卫宁健康科技集团股份有限公司：《2025年年度报告》，2026年4月15日。<https://static.cninfo.com.cn/finalpage/2026-04-15/1225102782.PDF>\n\n[13] 上海联影医疗科技股份有限公司：《2025年年度报告》，2026年4月29日。<https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-04-29/688271_20260429_NTY7.pdf>\n\n[14] 深圳迈瑞生物医疗电子股份有限公司：《2025年年度报告》，2026年3月31日。<https://static.cninfo.com.cn/finalpage/2026-03-31/1225059012.PDF>\n\n[15] 奕瑞电子科技集团股份有限公司：《2025年年度报告》，2026年3月31日。<https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-03-31/688301_20260331_E6VS.pdf>\n\n[16] 江苏康众数字医疗科技股份有限公司：《2025年年度报告》，2026年4月25日。<https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-04-25/688607_20260425_IZ31.pdf>\n\n[17] 江苏康众数字医疗科技股份有限公司：《2026年半年度报告》，2026年8月28日。<https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-08-28/688607_20260828_8GOE.pdf>\n\n[18] 中国政府采购网：《四川大学华西医院甲状腺结节超声影像辅助诊断软件采购项目中标公告》，2026年7月6日。<https://www.ccgp.gov.cn/cggg/zygg/zbgg/202607/t20260706_26880314.htm>\n\n[19] IHE Radiology Technical Committee. *AI Workflow for Imaging (AIW-I), Revision 1.1*. 2020. <https://www.ihe.net/uploadedFiles/Documents/Radiology/IHE_RAD_Suppl_AIW-I.pdf>\n\n[20] 国家卫生健康委等：《关于印发紧密型县域医共体信息化功能指引的通知》政策解读，2025年3月12日。<https://www.nhc.gov.cn/guihuaxxs/c100133/202503/a44fd482a5f140d19b9e595e2fc583f0.shtml>\n\n[21] 国家卫生健康委等：《关于全面推进紧密型县域医疗卫生共同体建设的指导意见》政策解读，2023年12月30日。<https://www.nhc.gov.cn/jws/c100073/202312/9be3aba3952f4c1cab897dd269ed509e.shtml>\n\n[22] 国家卫生健康委：《紧密型县域医共体医学影像中心设置标准》，WS/T 891—2026，2026年3月31日。<https://www.nhc.gov.cn/wjw/c100309/202603/c201f9460a7a446dadf2896663d93724.shtml>\n\n[23] 国家卫生健康委：《2024年我国卫生健康事业发展统计公报》，2025年12月2日。<https://www.nhc.gov.cn/guihuaxxs/c100133/202512/f1c3a3c617484a27a1a26a468afbaeee.shtml>\n\n[24] 连江县人民政府：《连江县总医院县域医共体资源共享中心能力提升项目初步设计及概算的批复》，2026年2月28日。<https://www.fzlj.gov.cn/xjwz/zwgk/zfxxgkzl/xrmzfgzbm_11124/ljxfzhggj/gkml/xmspdxzxkdsxyjtjslcxqxyjsqxzxkxytjqbcljblqk_11413/202602/t20260228_5289623.htm>\n\n[25] 国务院：《医疗卫生强基工程实施方案》，国函〔2025〕85号，2025年9月7日。<https://www.nhc.gov.cn/wjw/xwdt/202509/e3a802cef89f470ead8b9557c2ac65ce.shtml>\n\n[26] 北京万东医疗科技股份有限公司：《2025年年度报告》，2026年3月；公司定期报告页面。<https://www.wandong.com.cn/list-70-1.html>\n\n[27] OECD. *The OECD.AI Index*. 2026. <https://www.oecd.org/en/publications/2026/02/oecd-ai-observatory-index_8f5fa0f2.html>\n\n[28] OECD. *Introducing the OECD AI Capability Indicators*. 2025. <https://www.oecd.org/en/publications/2025/06/introducing-the-oecd-ai-capability-indicators_7c0731f0/full-report/component-3.html>\n\n[29] World Health Organization Regional Office for Europe. *Artificial intelligence is reshaping health systems: state of readiness across the European Union*. 2026. <https://www.who.int/france/publications/i/item/WHO-EURO-2026-12707-52481-81471>","inLanguage":["zh-CN"],"rights":"original","datePublished":"2026-09-08","dateModified":"2026-09-08","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"}],"regions":["中国"],"report":{"recordMode":"center-publication","publicationType":"research-report","series":"AI²F Research Report","reportNo":"AI2F-RR-2026-001","keyFindings":["医疗软件与算法、设备内生智能化、影像采集与系统延展对应不同的产品责任、医院工作流和收入确认方式。","七家样本2025年营业收入介于1.73亿元和332.82亿元之间；上市公司整体收入不能直接等同于AI业务收入。","医疗AI转型竞争力指数采用七家公司固定样本，比较产品合规、工作流、技术数据、转型执行、国际化渠道、财务弹性和再投入能力。"],"methodology":"基于截至2026年8月31日的公司定期报告、监管文件、政策标准、采购公告与学术资料，比较七家上市公司的产品、医院应用和商业化情况。指数评分维度、权重和样本结果见正文“医疗AI转型竞争力指数：固定样本试算”。","limitations":"固定样本与资料截止日限定了比较范围。整机、部件、医疗分部与AI产品收入采用不同披露口径；指数不代表临床性能、市场份额或投资价值。","pdfUrl":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026/report.pdf","downloads":[{"title":"下载 Word 原稿","url":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026/report.docx","encodingFormat":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","contentSize":""},{"title":"全文文本","url":"https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026/full-text.txt","encodingFormat":"text/plain","contentSize":""}]},"sources":[{"title":"国家卫生健康委等：《卫生健康行业人工智能应用场景参考指引》，2024年11月。","url":"https://www.nhc.gov.cn/guihuaxxs/c100133/202411/3dee425b8dc34f739d63483c4e5c334c/files/1733227133524_47343.pdf"},{"title":"国家卫生健康委等：《关于促进和规范“人工智能+医疗卫生”应用发展的实施意见》，2025年11月4日。","url":"https://www.nhc.gov.cn/guihuaxxs/c100133/202511/d1a42ae835c743b9b3e83ac0253c3e9f.shtml"},{"title":"国家药品监督管理局医疗器械技术审评中心：《人工智能医疗器械注册审查指导原则》，2022年。","url":"https://www.cncsdr.org/ggtz/ggzz/202203/t20220311_304188.html"},{"title":"国家药品监督管理局医疗器械技术审评中心：《医疗器械软件注册审查指导原则（2022年修订版）》，2022年。","url":"https://www.ccfdie.org/zryyxxw/zxdt/webinfo/2022/03/1648289422552123.htm"},{"title":"国家药品监督管理局医疗器械技术审评中心：《医疗器械网络安全注册审查指导原则（2022年修订版）》，2022年。","url":"https://www.cncsdr.org/ggtz/ggzz/202203/t20220311_304187.html"},{"title":"IMDRF. *Software as a Medical Device (SaMD): Clinical Evaluation*. 2017.","url":"https://www.imdrf.org/documents/software-medical-device-samd-clinical-evaluation"},{"title":"RAJPURKAR P, CHEN E, BANERJEE O, et al. AI in health and medicine. *Nature Medicine*, 2022, 28:31-38.","url":"https://doi.org/10.1038/s41591-021-01614-0"},{"title":"VASEY B, NAGENDRAN M, CAMPBELL B, et al. DECIDE-AI. *Nature Medicine*, 2022, 28:924-933.","url":"https://doi.org/10.1038/s41591-022-01772-9"},{"title":"KELLY C J, KARTHIKESALINGAM A, SULEYMAN M, et al. Key challenges for delivering clinical impact with artificial intelligence. *BMC Medicine*, 2019, 17:195.","url":"https://doi.org/10.1186/s12916-019-1426-2"},{"title":"北京鹰瞳科技发展股份有限公司：《2025年度报告》，2026年4月29日。","url":"https://www1.hkexnews.hk/listedco/listconews/sehk/2026/0429/2026042904252.pdf"},{"title":"科大讯飞股份有限公司：《2025年年度报告》，2026年4月29日。","url":"https://static.cninfo.com.cn/finalpage/2026-04-29/1225233581.PDF"},{"title":"卫宁健康科技集团股份有限公司：《2025年年度报告》，2026年4月15日。","url":"https://static.cninfo.com.cn/finalpage/2026-04-15/1225102782.PDF"},{"title":"上海联影医疗科技股份有限公司：《2025年年度报告》，2026年4月29日。","url":"https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-04-29/688271_20260429_NTY7.pdf"},{"title":"深圳迈瑞生物医疗电子股份有限公司：《2025年年度报告》，2026年3月31日。","url":"https://static.cninfo.com.cn/finalpage/2026-03-31/1225059012.PDF"},{"title":"奕瑞电子科技集团股份有限公司：《2025年年度报告》，2026年3月31日。","url":"https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-03-31/688301_20260331_E6VS.pdf"},{"title":"江苏康众数字医疗科技股份有限公司：《2025年年度报告》，2026年4月25日。","url":"https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-04-25/688607_20260425_IZ31.pdf"},{"title":"江苏康众数字医疗科技股份有限公司：《2026年半年度报告》，2026年8月28日。","url":"https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-08-28/688607_20260828_8GOE.pdf"},{"title":"中国政府采购网：《四川大学华西医院甲状腺结节超声影像辅助诊断软件采购项目中标公告》，2026年7月6日。","url":"https://www.ccgp.gov.cn/cggg/zygg/zbgg/202607/t20260706_26880314.htm"},{"title":"IHE Radiology Technical Committee. *AI Workflow for Imaging (AIW-I), Revision 1.1*. 2020.","url":"https://www.ihe.net/uploadedFiles/Documents/Radiology/IHE_RAD_Suppl_AIW-I.pdf"},{"title":"国家卫生健康委等：《关于印发紧密型县域医共体信息化功能指引的通知》政策解读，2025年3月12日。","url":"https://www.nhc.gov.cn/guihuaxxs/c100133/202503/a44fd482a5f140d19b9e595e2fc583f0.shtml"},{"title":"国家卫生健康委等：《关于全面推进紧密型县域医疗卫生共同体建设的指导意见》政策解读，2023年12月30日。","url":"https://www.nhc.gov.cn/jws/c100073/202312/9be3aba3952f4c1cab897dd269ed509e.shtml"},{"title":"国家卫生健康委：《紧密型县域医共体医学影像中心设置标准》，WS/T 891—2026，2026年3月31日。","url":"https://www.nhc.gov.cn/wjw/c100309/202603/c201f9460a7a446dadf2896663d93724.shtml"},{"title":"国家卫生健康委：《2024年我国卫生健康事业发展统计公报》，2025年12月2日。","url":"https://www.nhc.gov.cn/guihuaxxs/c100133/202512/f1c3a3c617484a27a1a26a468afbaeee.shtml"},{"title":"连江县人民政府：《连江县总医院县域医共体资源共享中心能力提升项目初步设计及概算的批复》，2026年2月28日。","url":"https://www.fzlj.gov.cn/xjwz/zwgk/zfxxgkzl/xrmzfgzbm_11124/ljxfzhggj/gkml/xmspdxzxkdsxyjtjslcxqxyjsqxzxkxytjqbcljblqk_11413/202602/t20260228_5289623.htm"},{"title":"国务院：《医疗卫生强基工程实施方案》，国函〔2025〕85号，2025年9月7日。","url":"https://www.nhc.gov.cn/wjw/xwdt/202509/e3a802cef89f470ead8b9557c2ac65ce.shtml"},{"title":"北京万东医疗科技股份有限公司：《2025年年度报告》，2026年3月；公司定期报告页面。","url":"https://www.wandong.com.cn/list-70-1.html"},{"title":"OECD. *The OECD.AI Index*. 2026.","url":"https://www.oecd.org/en/publications/2026/02/oecd-ai-observatory-index_8f5fa0f2.html"},{"title":"OECD. *Introducing the OECD AI Capability Indicators*. 2025.","url":"https://www.oecd.org/en/publications/2025/06/introducing-the-oecd-ai-capability-indicators_7c0731f0/full-report/component-3.html"},{"title":"World Health Organization Regional Office for Europe. *Artificial intelligence is reshaping health systems: state of readiness across the European Union*. 2026.","url":"https://www.who.int/france/publications/i/item/WHO-EURO-2026-12707-52481-81471"}],"citations":{"apa":"中央财经大学人工智能与数字财经研究中心. (September 8, 2026). 中国医疗AI上市公司研究报告（2026）：产品布局、医院应用与商业化进程 (AI2F-RR-2026-001). https://cufe-digital-finance-center.vercel.app/reports/china-medical-ai-listed-companies-2026"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026#webpage","type":"WebPage","contentType":"reports","url":"https://cufe-digital-finance-center.vercel.app/reports/riskatlas-database-capability-report-2026","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/reports/riskatlas-database-capability-report-2026","textUrl":"https://cufe-digital-finance-center.vercel.app/text/reports/riskatlas-database-capability-report-2026","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/reports/riskatlas-database-capability-report-2026","urlEn":"https://cufe-digital-finance-center.vercel.app/en/reports/riskatlas-database-capability-report-2026","title":"RiskAtlas全球制裁与出口管制数据库建设与能力报告","titleEn":"RiskAtlas Global Sanctions and Export Controls Database: Construction and Capability Report","summary":"中央财经大学国家财经战略研究院发布《RiskAtlas全球制裁与出口管制数据库建设与能力报告》，介绍该全球制裁与出口管制数据库的建设背景、数据治理框架、质量体系、生产验收基线与AI原生服务能力。","summaryEn":"A capability report from NAFES describing the governance framework, data quality system, production acceptance benchmarks and AI-native services of the RiskAtlas global sanctions and export-control database, developed with research and engineering support from CUFE AI²F.","body":"## 报告来源与背景\n\n《RiskAtlas全球制裁与出口管制数据库建设与能力报告》由中央财经大学国家财经战略研究院发布，研究与建设支持单位包括中央财经大学人工智能与数字财经研究中心（CUFE AI²F）以及经济制裁和国别风险研究团队（国家财经战略研究院独立课题组）。报告于2026年7月20日首次发布，此后随数据库能力更新持续修订；本资料介绍对应的版本以2026年8月31日认证数据快照为基础。\n\nRiskAtlas是面向全球制裁、出口管制与跨境限制措施研究的数据平台，整理美国、英国、欧盟、联合国及其他多个法域发布的官方公开限制措施信息，支持实体检索、来源核验、研究分析与机器可读调用。\n\n## 数据库规模与覆盖\n\n截至报告所依据的数据快照，RiskAtlas收录124,527条官方来源记录，其中73,963条处于当前有效状态，50,564条为历史状态记录，覆盖24个发布法域，纳入38个持续更新的官方来源。报告说明，来源记录是数据库的基础统计单位，指某一官方名单或公告中的规范化条目；由于同一现实世界主体可能同时出现在多个法域或名单中，记录总量反映的是来源覆盖规模，不直接等同于全球唯一受限制主体的数量。\n\n## 数据治理逻辑\n\n报告将数据库的治理框架概括为来源优先、语境保留、字段规范、时间分层、候选关联与质量度量等相互衔接的环节：\n\n- **来源优先与语境保留**：以官方或政府运营渠道作为名单事实的主要依据，记录保留发布机构、法域、名单名称、更新状态和官方链接；对以单份公告发布、缺少统一合并文件的来源，按公告台账组织并保留文号、日期和措施状态。\n- **字段规范**：将不同来源对姓名、别名、对象类型、国家或地区、项目和日期的表达方式统一为规范检索字段，同时保留各来源的原始表达，供查询结果解释具体名单含义。\n- **时间分层**：区分官方列名、修订、生效或撤销日期与平台观测到变化的日期，分别服务于历史结构研究与持续监测；只有具备已核验正式事件的记录才标记为官方撤销或失效，单纯的名单缺席不自动视为撤销。\n- **候选关联的证据层次**：报告将主体关联分为名称信号、多字段一致和官方文件明示三个层级，明确名称相同或近似只构成候选线索，不构成同一法律主体、所有权或控制关系的认定。\n- **行业与战略主题标签**：组织类型的来源记录采用联合国《所有经济活动的国际标准行业分类》（ISIC Rev.5）标注主行业，并叠加半导体、无人系统、关键矿产、航空航天与防务技术、人工智能、量子技术、网络安全等独立战略主题标签；两类标签均要求证据充分才发布，证据不足时保持未分类，且不从制裁理由反推行业归属。\n\n## 数据质量体系\n\n报告从完整性、可追溯性、一致性、唯一性、及时性和统计可解释性六个维度说明数据库的质量管理方式，并引入“来源可得性”与“解析保真度”两项指标分别衡量官方来源本身提供的信息范围与平台处理这些信息的准确程度，避免把上游来源的结构性信息缺失误判为数据库的处理错误。\n\n## 生产服务与验收基线（2026年8月31日）\n\n报告披露了RiskAtlas API 1.9版本的生产验收结果：217项前端与契约测试全部通过，34项功能验收全部通过，7类API访问控制场景全部通过；在10万条记录的批量筛查测试中，峰值处理能力约为每秒5,857条，请求响应时间的95百分位为1.22秒；在持续一小时的10万条筛查测试中，请求响应时间95百分位为711毫秒，测试期间未出现请求错误，接口返回结果与数据库记录之间也未发现一致性差异。报告同时说明，这些指标反映特定测试条件下的受控验收结果，不构成面向具体客户的服务等级承诺，机构用户接入前应结合自有历史样本完成影子筛查和服务等级验收。\n\n## AI原生数据服务能力\n\n报告说明RiskAtlas以OpenAPI 3.1描述稳定接口（基址为/api/v1），将API主版本、响应契约版本、服务构建版本、数据发布版本、分类体系版本和分类器版本作为六个相互独立的维度分别管理，并提供与MCP（Model Context Protocol）兼容的只读工具入口，将实体检索、记录读取、状态时间线、来源核验、统计查询和行业分析组织为可供语言模型和智能体调用的服务；面向语言模型的检索可使用response_mode=compact参数以精简字段返回。\n\n## 引用与使用边界\n\n报告建议的数据库整体引用格式为：中央财经大学国家财经战略研究院经济制裁和国别风险研究团队. RiskAtlas全球制裁与出口管制数据库[DB/OL]. [检索日期]. https://atlas.scholarforce.ai/。报告明确指出，数据库中的名称重合、候选关联和统计汇总不构成法律主体认定、交易结论或法律意见，来源名单的法律效力应以发布机构的正式文件及其后续修订为准；引用具体数量时应同时说明统计对象、状态范围、法域或来源范围及数据快照日期。","bodyEn":"## Provenance\n\nThe RiskAtlas Global Sanctions and Export Controls Database: Construction and Capability Report was published by the National Academy of Financial and Economic Strategy (NAFES) at Central University of Finance and Economics, with research and engineering support from the CUFE Institute for AI & Digital Finance (CUFE AI²F) and the Economic Sanctions and Country Risk Research Team, an independent research group of NAFES. The report was first published on 20 July 2026 and has since been revised as the database's capabilities have developed; this record reflects the version anchored to the certified data snapshot of 31 August 2026.\n\nRiskAtlas is a data platform for research on global sanctions, export controls and cross-border restriction measures. It organises official public restriction information published across the United States, the United Kingdom, the European Union, the United Nations and other jurisdictions, supporting entity search, source verification, research analysis and machine-readable access.\n\n## Database scale and coverage\n\nAs of the snapshot underlying the report, RiskAtlas held 124,527 official source records, of which 73,963 were current and 50,564 held historical status, spanning 24 issuing jurisdictions and 38 continuously maintained sources. The report treats the source record as the database's basic unit of measurement — a normalised entry within a single official list or notice. Because a real-world subject may appear across multiple jurisdictions or lists, total record counts describe source coverage rather than a deduplicated count of globally unique restricted subjects.\n\n## Governance framework\n\nThe report organises its governance approach around source priority and context preservation, field normalisation, temporal layering, tiered evidence for candidate linkage, and industry and strategic-topic tagging. Official or government-operated channels serve as the primary basis for listing facts, with issuing authority, jurisdiction, list name, status and official links preserved on each record. Name matches alone are treated as candidate leads rather than identity determinations; only corroborated formal events support a \"revoked or lapsed\" status, and mere absence from a current list is not automatically read as revocation. For organisational records, primary industry is tagged under UN ISIC Rev.5 with independently maintained strategic-topic labels (including semiconductors, unmanned systems, critical minerals, aerospace and defence technology, artificial intelligence, quantum technology and cybersecurity); both types of tagging require sufficient evidence and are withheld rather than guessed when evidence is insufficient.\n\n## Data quality framework\n\nThe report describes quality management across completeness, traceability, consistency, uniqueness, timeliness and statistical interpretability, introducing separate \"source availability\" and \"parsing fidelity\" metrics to distinguish what official sources actually disclose from how accurately the platform processes that disclosed information — avoiding the misclassification of upstream structural gaps as platform processing errors.\n\n## Production acceptance baseline (31 August 2026)\n\nThe report discloses production acceptance results for RiskAtlas API 1.9: 217 of 217 frontend and contract tests passed, 34 of 34 functional checks passed, and all seven API access-control scenarios passed. A 100,000-record peak screening test reached approximately 5,857 records per second with a 1.22-second p95 request time; a one-hour sustained run of 100,000 screenings recorded a 711 ms p95, with zero request errors and no consistency mismatches between API responses and underlying database records. The report notes that these figures describe controlled acceptance testing under specific conditions and do not constitute a customer-specific service-level commitment; institutional users are advised to complete shadow screening and service-level validation with their own historical samples before production use.\n\n## AI-native service capabilities\n\nThe report describes a stable API base (`/api/v1`) documented with OpenAPI 3.1, with six independently versioned dimensions — API major version, response contract version, service build version, data release version, taxonomy version and classifier version — plus an MCP (Model Context Protocol)-compatible read-only tool endpoint that organises entity search, record retrieval, status timelines, source verification, statistics and industry analysis for use by language models and agents. A `response_mode=compact` parameter is available to return a reduced field set for language-model consumption.\n\n## Citation and usage boundaries\n\nThe report's recommended database citation reads: Economic Sanctions and Country Risk Research Team, National Academy of Financial and Economic Strategy, Central University of Finance and Economics. RiskAtlas Global Sanctions and Export Controls Database [DB/OL]. [access date]. https://atlas.scholarforce.ai/. The report states explicitly that name overlaps, candidate linkages and aggregate statistics do not constitute legal-entity determinations, transaction conclusions or legal advice, and that the legal effect of any listing follows the issuing authority's official documents and subsequent amendments. Citations of specific figures should state the statistical unit, status scope, jurisdiction or source scope, and the snapshot date.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://atlas.scholarforce.ai/docs","type":"CreativeWork","title":"RiskAtlas全球制裁与出口管制数据库建设与能力报告","authors":["中央财经大学国家财经战略研究院经济制裁和国别风险研究团队"],"authorEntities":[{"name":"中央财经大学国家财经战略研究院经济制裁和国别风险研究团队"}],"publisher":"中央财经大学国家财经战略研究院","datePublished":"2026-07-20","url":"https://atlas.scholarforce.ai/docs"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"}],"regions":["中国","国际"],"report":{"recordMode":"source-record","keyFindings":["截至报告所依据的数据快照，RiskAtlas收录124,527条官方来源记录，其中73,963条当前有效，覆盖24个发布法域和38个持续更新来源。","数据库以来源优先、语境保留、字段规范、时间分层、候选关联和质量度量构成治理框架，仅在具备已核验事件时才将记录标记为官方撤销或失效。","组织类型记录采用联合国ISIC Rev.5行业分类标注主行业，并叠加半导体、关键矿产、人工智能等独立战略主题标签；证据不足时保持未分类，不从制裁理由反推行业归属。","2026年8月31日生产验收显示，API在10万条记录的一小时持续负载测试中请求响应时间95百分位为711毫秒，测试期间未出现请求错误或接口—数据库一致性差异。","报告明确名称重合、候选关联和统计汇总仅构成研究线索，不构成同一法律主体认定，法律效力以官方文件为准。"],"methodology":"报告基于2026年8月31日认证数据快照及同期生产验收测试结果，说明数据库的来源治理框架、字段规范方法、候选关联证据分级、行业与战略主题分类方法，以及涵盖前端契约测试、功能验收、API访问控制、峰值与持续负载测试的验收设计。","limitations":"报告明确来源记录数量反映来源覆盖规模，不等同于去重后的现实世界受限制主体数量；行业与战略主题分类、法人识别参照和名称重合统计均为研究与检索辅助线索，不构成法律主体认定；峰值吞吐等验收指标为特定受控测试条件下的结果，不构成面向具体客户的服务等级承诺。","downloads":[]},"sources":[{"title":"RiskAtlas文档中心：RiskAtlas全球制裁与出口管制数据库建设与能力报告","url":"https://atlas.scholarforce.ai/docs"},{"title":"RiskAtlas能力报告：《RiskAtlas全球制裁与出口管制数据库建设与能力报告》发布","url":"https://atlas.scholarforce.ai/news/riskatlas-database-report-2026"},{"title":"RiskAtlas全球制裁与出口管制数据平台","url":"https://atlas.scholarforce.ai/"}],"citations":{"apa":"中央财经大学国家财经战略研究院经济制裁和国别风险研究团队. (July 20, 2026). RiskAtlas全球制裁与出口管制数据库建设与能力报告. https://atlas.scholarforce.ai/docs"},"corrections":[]},{"id":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020#webpage","type":"WebPage","contentType":"reports","url":"https://cufe-digital-finance-center.vercel.app/reports/tech-for-trees-2020","recordUrl":"https://cufe-digital-finance-center.vercel.app/records/reports/tech-for-trees-2020","textUrl":"https://cufe-digital-finance-center.vercel.app/text/reports/tech-for-trees-2020","textUrlEn":"https://cufe-digital-finance-center.vercel.app/en/text/reports/tech-for-trees-2020","urlEn":"https://cufe-digital-finance-center.vercel.app/en/reports/tech-for-trees-2020","title":"Tech for Trees：刚果盆地造林参与研究","titleEn":"Tech for Trees","summary":"基于1,005份问卷和深入访谈，研究蚂蚁森林用户参与刚果盆地造林的意愿、行为动因与数字平台设计。","summaryEn":"A mixed-method study of 1,005 people in China examining how Ant Forest users could be engaged in Congo Basin reforestation. The work was based on data developed by Bo Chen of CUFE through a collaboration with GDFA and CAFI.","body":"## 报告来源\n\n《Tech for Trees》于2020年4月15日发布。报告以中央财经大学陈波教授开发的数据为基础，源于中央财经大学（CUFE）、绿色数字金融联盟（GDFA）与中非森林倡议（CAFI）的合作。报告由绿色数字金融联盟编制；封面同时注明，报告中的错误或遗漏由绿色数字金融联盟负责。\n\n报告引用的完整技术研究为陈波于2019年完成的 *Research on Internet Public Welfare Behaviors*。该研究由绿色数字金融联盟委托，与中央财经大学财经研究院合作开展，包含问卷、统计分析与详细结果解释。\n\n## 研究问题\n\n研究关注数字平台能否将中国用户在蚂蚁森林中的低碳参与延伸到刚果盆地的森林恢复与生物多样性保护。核心问题包括：哪些用户更可能参与，哪些行为动因能够促成参与，以及平台如何以可信、可见的方式呈现用户贡献。\n\n## 样本与方法\n\n研究采用定量与定性相结合的方法。25个问题组成的网络问卷覆盖1,005名中国受访者，其中61.5%为蚂蚁森林现有用户，10.5%为曾经使用者，28%从未使用；女性占61.5%，18至40岁受访者占76.7%，样本主要来自中国东部，多数受访者年收入低于20万元。\n\n问卷之后开展深入访谈。研究使用结构方程模型分析平台参与、社交动因、环境意识与参与非洲造林意愿之间的关系，并以六项指标构建筛选决策树，用于识别更可能参与的用户。\n\n## 主要发现\n\n1. 样本中22.3%的受访者表示愿意通过蚂蚁森林为中非地区的环境问题产生积极影响。\n2. 能否提供可信、可核验的环境影响证明，是各类用户共同重视的行为动因。\n3. 18至40岁的男性高潜力用户更重视竞争、排名、绿色积分的长期价值，以及对实际植树结果的验证。\n4. 18至25岁的女性高潜力用户更重视社交协作与同伴互动。\n5. 蚂蚁森林使用频率和参与深度与参与中非造林的意愿相关；收入和整体环境意识又与平台深度参与相关。\n\n## 平台设计含义\n\n报告建议持续提供可信、清晰且可视化的实地影响信息，并将环境知识与用户贡献联系起来。针对不同用户群体，可分别考虑竞争排名、协作分享和知识互动。报告还讨论了卫星影像、无人机影像、虚拟现实、增强现实及区块链在影响展示和信息可信度方面的可能用途。\n\n## 研究局限与后续问题\n\n报告明确指出，研究尚未判断刚果盆地森林问题中的哪类内容最能触发参与，例如植树、代表性野生动物或更广泛的生物多样性。样本以中国东部、18至40岁及年收入20万元以下人群为主，结果应结合这一构成理解。后续研究需要进一步验证具体内容、激励方式和平台功能。","bodyEn":"## Report provenance\n\nTech for Trees was published on 15 April 2020. It is based on data developed by Professor Bo Chen of Central University of Finance and Economics through a collaboration involving CUFE, the Green Digital Finance Alliance (GDFA) and the Central African Forest Initiative (CAFI). GDFA prepared the report and states on the cover that it is solely responsible for errors or omissions.\n\nThe report cites the underlying technical study, *Research on Internet Public Welfare Behaviors*, completed by Bo Chen in 2019. That study was commissioned by GDFA and produced in cooperation with CUFE's Institute for Finance and Economics; it contains the survey instrument, statistical analyses and detailed interpretation.\n\n## Research question\n\nThe study asks whether a digital platform could extend Chinese users' participation in Ant Forest to forest restoration and biodiversity protection in the Congo Basin. It examines which users are most likely to participate, which behavioural factors could motivate them, and how a platform could present their contribution in a credible and visible form.\n\n## Sample and method\n\nThe mixed-method study began with a 25-question online survey of 1,005 people in China. Existing Ant Forest users made up 61.5 per cent of the sample, former users 10.5 per cent and people who had never used the service 28 per cent. Women represented 61.5 per cent of respondents; 76.7 per cent were aged 18 to 40. Most respondents lived in eastern China and reported annual income below CNY 200,000.\n\nIn-depth interviews followed the survey. A structural equation model examined the relationships between platform engagement, social motivation, environmental awareness and willingness to participate in African reforestation. A six-indicator decision tree was used to identify users with a higher propensity to take part.\n\n## Main findings\n\n1. 22.3 per cent of the sample expressed willingness to create a positive impact on environmental problems in Central Africa through Ant Forest.\n2. Credible and verifiable proof of environmental impact was important across user groups.\n3. Higher-potential male users aged 18 to 40 placed greater weight on competition, rankings, the long-term value of green points and verification of actual tree planting.\n4. Higher-potential female users aged 18 to 25 placed greater weight on cooperation and peer interaction.\n5. Frequency and intensity of Ant Forest use were associated with willingness to participate in Central African reforestation; income and broader environmental awareness were in turn associated with deeper platform engagement.\n\n## Implications for platform design\n\nThe report proposes regular delivery of credible, clear and visual evidence of impact, linked to environmental knowledge. Competition, collaborative sharing and knowledge-based interaction may be adapted for different user groups. It also considers satellite and drone imagery, virtual and augmented reality, and blockchain as possible tools for communicating impact and strengthening trust in information.\n\n## Limitations and further questions\n\nThe report states that the study did not determine which aspect of Congo Basin deforestation would be most likely to activate the identified motivations: tree planting, iconic wildlife or biodiversity more broadly. The sample was concentrated among people in eastern China, respondents aged 18 to 40 and those with annual income below CNY 200,000. Further work is needed to test specific content, incentives and platform functions.","inLanguage":["zh-CN","en"],"rights":"link-only","datePublished":"2026-09-06","dateModified":"2026-09-06","version":1,"authors":[],"corporateAuthor":"中央财经大学人工智能与数字财经研究中心","originalPublication":{"id":"https://drive.google.com/file/d/1yYgvm09n8V4B2LCVsJWm2ArpBCHbnq6V/view?usp=sharing","type":"CreativeWork","title":"Tech for Trees","authors":[],"authorEntities":[],"publisher":"Green Digital Finance Alliance","datePublished":"2020-04-15","url":"https://drive.google.com/file/d/1yYgvm09n8V4B2LCVsJWm2ArpBCHbnq6V/view?usp=sharing"},"topics":[{"id":"https://cufe-digital-finance-center.vercel.app/topics/finance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/finance","name":"财经"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/technology#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/technology","name":"科技"},{"id":"https://cufe-digital-finance-center.vercel.app/topics/compliance#topic","url":"https://cufe-digital-finance-center.vercel.app/topics/compliance","name":"全球化合规"}],"regions":["刚果盆地","国际"],"report":{"recordMode":"source-record","keyFindings":["样本中22.3%的受访者表示愿意通过蚂蚁森林参与中非地区环境行动。","可信、可核验的影响证明是各类用户共同重视的行为动因。","男性高潜力用户更重视竞争与排名，女性高潜力用户更重视社交协作。","平台使用频率和参与深度与参与中非造林的意愿相关。"],"methodology":"采用25题网络问卷与深入访谈的混合研究方法，共调查1,005名中国受访者；使用结构方程模型分析行为动因，并以六项指标构建用户筛选决策树。","limitations":"研究未进一步检验植树、野生动物或生物多样性等具体内容的动员差异；样本主要来自中国东部，且以18至40岁和年收入20万元以下人群为主。","downloads":[]},"sources":[{"title":"Green Digital Finance Alliance：Tech for Trees","url":"https://www.greendigitalfinancealliance.org/initiatives/tech-for-trees"},{"title":"Tech for Trees 报告","url":"https://drive.google.com/file/d/1yYgvm09n8V4B2LCVsJWm2ArpBCHbnq6V/view?usp=sharing"}],"citations":{"apa":"Green Digital Finance Alliance. (April 15, 2020). Tech for Trees. https://drive.google.com/file/d/1yYgvm09n8V4B2LCVsJWm2ArpBCHbnq6V/view?usp=sharing"},"corrections":[]}]}