上海市房地产业协会秘书长蒋慰如在发言中指出，房地产智库在提供思想引领、探索实践路径方面发挥 了不可替代的作用，并强调在当前行业动力转换、供求关系重塑的深刻变革期，研究院的持续研究和价 值贡献，正是行业在新阶段"重新出发"所需的重要支撑。 本报讯 （记者陈潇）近期，上海易居房地产研究院成立二十周年座谈会在上海举行。二十年来，上海 易居房地产研究院在行业起伏与调整的周期中，始终以专业为根基，实现从"启航""扎根"到"铸帆"。 以专业为矛 迎难而上 "二十年前，我们一字一句地写下了研究院的定位：始终坚持以产学研结合为指导理念，努力将研究院 建设成为专业领先、资源密集、社会认可的先导型、规模化、一流的房地产应用研究机构。"创始人暨 上海易居房地产研究院理事长、华东师范大学终身教授张永岳在座谈会上，向与会者展示了一张创院初 期的老照片，重温了创立之初的愿景。 作为研究院的早期参与者，上海易居房地产研究院院长丁祖昱回忆道："这一角色定位在当时具有显著 的前瞻性与独特性。作为一家民办非企业的专业研究机构，从创立之初，就致力于搭建桥梁，弥合理论 与实务、政策与市场、行业与公众之间的断层。" 回顾二十年来，特别是近五年行业经历 ...

中证报中证网讯(记者乔翔)近日，以"迈向'十五五'，中国房地产与城市更新高质量发展"为主题的2026 迎新易居论坛举办。本次会议上，上海易居房地产研究院发布了2026年发展战略，确立了"123"战略框 架：坚守"高质量发展不动摇"这一核心，聚焦"专业持续精进、服务持续优化"两大支柱，坚定三条发展 路径，即坚定不移提升专业、赋能行业；坚定不移汇聚资源、共建生态；坚定不移拥抱AI、创新前 行。 在主题演讲环节中，上海易居房地产研究院院长、克而瑞联席董事长、普睿数智董事长丁祖昱表示， 2026年房企应推动管理模式扁平化，以"好房子"需求和现房销售趋势倒逼运营体系、开发模式升级。 在圆桌讨论环节中，围绕"充分发挥城市更新在稳楼市中的作用"话题，上海城投控股（600649）股份有 限公司副总裁蒋家智表示，城市更新可通过REITs工具、数字赋能、品牌输出平衡经济效益与社会效 应。他建议，进一步优化土地供给、部门协同、金融支持等政策，助力城市更新更好地在稳楼市中发挥 作用。 ...

Group 1 - The core point of the article revolves around the controversy regarding the housing default rate data presented in the China Banking Research Institute's fourth quarter report, which has sparked significant discussion on social media [1][2][4] - The report claims that the current national average housing default rate is higher than in 2022, with some third and fourth-tier cities experiencing even higher rates [1] - The data cited in the report was supposedly sourced from a non-existent study by "CRIC Real Estate Research," which has publicly denied releasing any such report or related data [2][4] Group 2 - The term "default" is not officially recognized; instead, it is categorized under loan delinquency, with banks classifying loans based on the duration of delinquency and conducting investigations [6] - The report's reliance on third-party data raises questions about the accuracy and credibility of the information, as data research institutions typically do not possess such critical credit data [6] - Following the controversy, significant portions of the report related to the real estate market's supply and demand analysis were removed, reducing the report's length to 61 pages [7] Group 3 - In the broader market context, data from the China Index Academy indicates that in October, new home prices increased in 8 out of the top 10 cities, with notable year-on-year increases in Shanghai (10.7%), Hangzhou (6.51%), and Chengdu (6.18%) [7] - National Bureau of Statistics data shows that in September, the sales area of newly built commercial housing reached 85.31 million square meters, a month-on-month increase of 48.5%, while sales revenue amounted to 802.5 billion yuan, up 47.3% month-on-month [7]

Core Viewpoint - The article emphasizes the transformative impact of CRIC Deep Intelligence in the real estate industry through the integration of data, AI, and practical applications, marking a significant shift towards efficiency in research outcomes [1][2]. Group 1: Data Infrastructure - CRIC Deep Intelligence leverages 20 years of data accumulation from the real estate sector, covering 426 cities and 11 major real estate fields, creating a comprehensive professional database [4]. - The data system includes exclusive industry data sourced from offline research and authoritative channels, ensuring authenticity and timeliness [4]. - A dynamic knowledge graph integrates policy documents, market reports, and case studies, forming a four-dimensional network that supports cross-dimensional research analysis [4]. - The platform allows companies to build personalized knowledge bases, enabling customized research foundations for AI-generated reports [4]. Group 2: AI Capabilities - CRIC Deep Intelligence creates a closed research loop covering search, analysis, creation, and validation, transforming data handling into value production [6]. - The intelligent search feature allows natural language queries, providing structured results in seconds, thus avoiding fragmented manual searches [6]. - Advanced analysis capabilities utilize professional models to conduct multi-factor correlation analysis, revealing insights that are difficult for humans to detect [6]. - The system can generate over a hundred types of reports and articles quickly, significantly enhancing report production efficiency [7]. Group 3: Application Scenarios - The platform offers customized solutions for various stakeholders in the real estate industry, including developers, financial institutions, and research organizations [8]. - For developers, it provides comprehensive support from land acquisition to marketing, including feasibility studies and competitive analysis [9][10]. - Financial institutions benefit from improved risk management and asset evaluation, with faster credit assessments and more accurate risk identification [11][12]. - Research institutions can produce industry reports and track policy developments efficiently, enhancing content production capabilities [13]. Group 4: Future Outlook - CRIC Deep Intelligence signifies the beginning of a new era in real estate research, promoting three major transformations: democratization of research capabilities, expansion of cognitive boundaries, and leap in industry efficiency [15]. - The platform aims to automate 80% of foundational research tasks, allowing human resources to focus on strategic thinking [15]. - As the industry evolves, companies embracing AI-driven transformations will gain structural competitive advantages, with CRIC Deep Intelligence leading the way [16].