北京大学深圳研究生院坚信在前沿、跨学科和应用研究领域开展国际标准研究的价值。我们的目标是为具 有国际视野的创新人才打造一个智力高地。在"双区"建设的新时代，北京大学深圳研究生院将扎根粤港澳 大湾区，致力于成为"新工科"发展的引擎，助力解决中国核心技术的瓶颈问题，构建连接研究前沿与区域 产业的新范式。 北京大学科学智能学院 （ PKUSAI4S ） 北京大学深圳研究生院科学智能学院和信息工程学院招聘教职人员 北京大学深圳研究生院 （ PKUSZ ） 成立于 2001 年，是北京大学唯一的异地校区，传承着这所拥有 120 年历史的大学的悠久传统。北京大学深圳研究生院深知其地理位置的重要性，致力于将自身的科研与教学 与大湾区丰富的资源相结合。我们的九个学院以及众多研究中心、实验室和项目汇聚了世界各地的专家， 共同探索新的学术前沿、开拓创新。一直以来，北京大学深圳研究生院致力于拓展和分享知识，推动学术 创新，并鼓励更广泛地参与和服务社会。 北京大学深圳研究生院于 2025 年成立的 科学智能学院 （ School of AI for Science ） 是北京大学为应 对智能时代科学和工业变革而采取的一项战略举措。作 ...

青海社科院文史研究所所长胡芳认为，只有将"秦刻石"研究置于国家治理、民族交往、文化认同、文物 活化利用等多维网络中，才能整合不同领域的研究优势，推动"秦刻石"、昆仑文化乃至青藏高原考古与 历史文化研究取得突破性进展，为中华民族多元一体文化和中华民族共同体形成提供坚实的历史物证和 文化实践。 "'秦刻石'不应被简单视作孤立的'器物'，而是时代多重因素交织作用的产物。单一学科的视角难免存在 局限甚至错漏，因此应拓宽研究视野、扩大交流范围，推动不同学术背景的学者充分对话碰撞。特别要 重视研究中的'陌生感'，它们常常能催生新的问题意识，启发新的研究思路。"中国艺术研究院中国文 化研究所研究员谷卿说。此外，还应注重研究与科技的结合，运用数字人文技术整合多学科数据，建 立"秦刻石"分析模型，为深入研究提供技术支撑。 来源：光明日报 "'秦刻石'既是珍贵的文化遗产，又与周边自然环境深度交融，其所记录的'昆仑采药'一事，也有浓厚的 自然地理探索意味。与地理学、地质学、生态学、资源学等自然科学开展跨学科协作，有助于更全面地 还原'采药昆仑'的历史图景。"青海师范大学地理科学学院教授侯光良说。 "昆仑石刻"学术争鸣，虽然告一段落 ...

编辑丨王多鱼 求职信 完整的申请材料将滚动审核，直至职位招满为止。 联系方式：cidrhr@westlake.edu.cn 设置 星标 ，不错过精彩推文 排版丨水成文 西湖大学 成立于 2018 年，是中国杭州一所新型研究型大学，由公共和私人资金支持。 西湖大学传染病研 究中心 （CIDR） 现面向全球招聘各职级 （准聘副教授、副教授、教授） 教职人员。 CIDR 是为应对新出现的传染病而成立的，它正在取得变革性的科学进展，以更好地了解包括流感病毒、结 核分枝杆菌、乙型肝炎病毒、冠状病毒等在内的各种传染病。欲了解更多信息，请访问官方网站： https://cidr.westlake.edu.cn/en/ 。 CIDR 正在寻找杰出的科学家来领导充满活力且独立的病理生物学、免疫学、疫苗学、流行病学或药物发现 方面的研究项目，重点关注微生物感染和炎症。同时也寻求在微流体、纳米电子学、纳米生物材料、大数 据和深度学习方面具有专长的跨学科研究人员。申请人必须拥有医学博士、哲学博士或同等学位，并具有 丰富的博士后研究经验，以及能证明其创造力和生产力的出色发表记录。成功的申请者应开发涵盖医学相 关疾病的基础研究和转化研究 ...

转自：中国科学报 近日，第十九届"挑战杯"中国移动全国大学生课外学术科技作品竞赛"人工智能+"专项赛传来捷报，由 安徽师范大学物理与电子信息学院教授冯友宏等指导、"肺腑之研"团队研发的慢阻肺AI医疗监测系统斩 获特等奖，实现了学校在该项赛事的历史性突破，更让这支由通信工程与医学背景学生组成的跨学科团 队走进公众视野——他们历时3年、迭代百次，用科技初心回应民生关切，为慢阻肺患者搭建起一道"家 门口的健康防线"。 从患者困境中燃起"肺腑"之愿 2023年，物理与电子信息学院2024级通信工程专业学生姚骏带领团队，协助安徽某医院建立慢阻肺患者 数据库，这是他们首次系统性接触该群体。慢阻肺患者需长期监测干预，常规诊疗模式却带来诸多不 便：每月多次往返医院做肺功能检查、CT扫描，单次费用数百元，重症患者月支出可达数千元，对普 通家庭是沉重负担。 "郊区大爷转两趟车、花3小时就医，检查后累得直不起腰；阿姨担心频繁做CT有辐射，又舍不得花 钱，错过了最佳干预时机。"这些真实场景深深触动了团队成员。国家卫生健康委2024年11月发布统计 数据：我国慢阻肺患者已近1亿，平均每10秒就有一人死于该疾病，而患病知晓率仅0.9%， ...

该研究以： The effectiveness of large language models in medical AI research for physicians: A randomized controlled trial 为题，于 2025 年 11 月 26 日发表于 Cell 子刊 Cell Reports Medicine 上 。 中山大学中山眼科中心 林浩添 教授、 陈文贲 副研究员为论文共同通讯作者， 尚元君 博士、 林远帆 博士和 李睿扬 助理研究员为论文共同第一作者。 这项随机对照试验评估了 大语言模型 （LLM） 在 医学人工智能研究 中对医生的有效性，结果显示，大语 言模型能够帮助医生克服技术障碍，协助医生开展医疗人工智能研究，但也存在着幻觉和依赖性风险。 撰文丨王聪 编辑丨王多鱼 排版丨水成文 近日，来自 中山大学中山眼科中心 的一篇新论文登上了 Cell Press 官网头条。 近年来，促进生物学、化学、物理学、材料科学、计算机科学和工程学等不同科学领域合作的 跨学科研究 ，推动了众多科学领域的突破，并开辟了新的增长途径。例如，在数字医学领域，临床实践、计算机科学 及其他学 ...

Core Insights - The conference titled "Cultural Mapping of Famous Mountains and Scenic Spots from the Perspective of Image History" was held in Taizhou, Zhejiang, focusing on the cultural significance of traditional Chinese maps and their interdisciplinary research implications [1][17] - The event gathered over 50 experts from more than 20 universities and research institutions, emphasizing the importance of cross-disciplinary dialogue in understanding historical geography, literature, landscape history, architectural history, and art history [1][4] Group Summaries Opening Ceremony - The opening ceremony featured speeches from key figures including Li Jianjun, Song Xueli, and Luo Zhengming, highlighting the significance of the conference and the collaborative efforts of the organizing institutions [3][4] Academic Contributions - Li Jianjun emphasized that ancient Chinese map culture is not merely geographical but a narrative of civilization and historical memory, advocating for a deeper understanding of how these maps reflect historical logic [4][6] - The conference is part of a series initiated in 2020, showcasing the evolution of the journal "Image History" and its role in promoting interdisciplinary research in material culture [5][6] Thematic Discussions - The conference included five thematic groups focusing on various aspects of map studies, including map literature, image studies, historical geography, landscape history, and architectural history, reflecting the growing interest in interdisciplinary approaches [8][10][12][13][15] - Each group presented specialized reports, exploring topics such as the analysis of historical maps, the relationship between traditional maps and modern representations, and the cultural implications of geographical depictions [10][12][13] Closing Remarks - The closing session highlighted the successful interdisciplinary dialogue established during the conference, with participants agreeing on the importance of continuing research in the field of map culture and its contributions to understanding traditional Chinese culture [15][17]

Core Insights - The application of AI has expanded beyond protein structure prediction to various fields such as chemistry, medicine, and neuroscience, driven by interdisciplinary research and recent awards recognizing such efforts [1][3][4] Group 1: Interdisciplinary Research - The trend of interdisciplinary research is gaining momentum, with many fields continuously intersecting with AI [3] - Scientists emphasize the importance of AI in understanding complex data, particularly in molecular science and biomedicine, where data volume is rapidly increasing [3][4] - Researchers are utilizing domestic chips to build AI computing platforms, competing with international research teams [1][4] Group 2: AI in Molecular Science and Medicine - In molecular science, AI is being used to analyze vast amounts of data, with new research directions emerging, such as virtual cell studies [3][4] - AI applications in medicine include predicting genetic diseases and understanding brain functions through large-scale neural modeling [5][6] Group 3: AI in Robotics and Sensor Technology - Embodied intelligence, a cross-disciplinary area involving AI and robotics, is paving the way for advancements in robot intelligence [6] - Current challenges in sensor design for embodied intelligence include limitations in existing materials and the need for more flexible and cost-effective solutions [6][7] - Future developments may include the integration of olfactory and gustatory sensors to enhance robots' capabilities in domestic environments [7]

Core Viewpoint - The article emphasizes that online public opinion is a complex phenomenon that reflects public attitudes and emotions towards social issues, and it should not be simplistically categorized as crisis management or a branch of communication studies [2][3]. Group 1: Nature and Characteristics of Online Public Opinion - Online public opinion is a manifestation of social discourse that is influenced by various factors, including political, social, economic, psychological, and legal aspects [3][4]. - The complexity of online public opinion requires a multidisciplinary approach for comprehensive understanding, integrating insights from political science, sociology, economics, psychology, communication studies, and law [3][4][18]. Group 2: Formation Mechanisms - The formation of online public opinion is rooted in social structures and psychological mechanisms, with feelings of social inequality and relative deprivation being significant underlying causes [5][7]. - Internet technology accelerates the formation and dissemination of public opinion, providing platforms for expression and reducing psychological barriers to sharing opinions [6][19]. Group 3: Stages of Development - Online public opinion typically progresses through three stages: occurrence, diffusion, and decline, each characterized by specific psychological mechanisms and public engagement [9][10]. - During the occurrence stage, an event triggers initial public interest; in the diffusion stage, information spreads rapidly, leading to diverse opinions; and in the decline stage, public attention shifts away from the issue [9][10]. Group 4: Governance Strategies - Effective management of online public opinion requires collaboration among multiple stakeholders, including government, enterprises, and various institutions [11][12]. - Governments play a crucial role in regulating and guiding public opinion, emphasizing the need for legal frameworks and timely communication to prevent misinformation [12][13]. - Enterprises must monitor public sentiment and respond to crises effectively to protect brand reputation, while also ensuring responsible content management on their platforms [14][15]. Group 5: Future Directions - The evolution of information technology presents both challenges and opportunities for online public opinion management, necessitating a focus on ethical considerations and cross-border collaboration [19]. - Future research should continue to explore innovative approaches to managing online public opinion, aiming to balance freedom of expression with the need for social order [19].

Core Viewpoint - The "Panshi" scientific foundational model, developed by a team from the Chinese Academy of Sciences, was unveiled at the 2025 World Artificial Intelligence Conference in Shanghai, aimed at assisting scientists in interdisciplinary research [1] Group 1: Model Capabilities - The "Panshi" model features core capabilities such as scientific literature extraction and integration, scientific knowledge representation and reasoning, and scientific tool orchestration and planning [1] - It enables a complete research process from hypothesis generation to experimental validation and discovery of laws, functioning as a cross-disciplinary research support platform combining AI and science [1] Group 2: Customization and Development - The model is deeply customized for the scientific field based on domestic open-source large models, mastering core theorems, laws, and professional knowledge across six major disciplines: mathematics, physics, chemistry, biology, earth science, and astronomy [1] - Two scientific intelligent entities, "Literature Compass" and "Tool Scheduling Platform," have been developed to assist researchers in various tasks [1] Group 3: Application Examples - In mechanics research, the model demonstrates strong capabilities in understanding and predicting scientific data, efficiently calculating surface pressure fields of high-speed train models in various fluid environments to support design [1] - In high-energy physics research, the model can automatically decompose and efficiently plan particle physics research tasks, significantly enhancing particle simulation speed and reconstruction efficiency, aiding in the exploration of the fundamental composition of matter and the basic laws of the universe [1]

Core Viewpoint - The importance of interdisciplinary knowledge in party history research is emphasized, advocating for a balance between specialization and broad understanding to avoid the pitfalls of narrow focus and fragmentation [1][2][3]. Group 1: Specialization and Its Drawbacks - Specialization can lead to a narrow perspective, making researchers overlook broader connections and meanings in their studies [2][3]. - Historical examples from prominent figures like Liang Qichao and Mao Zedong illustrate the dangers of excessive specialization and the benefits of a more comprehensive approach [2][3]. - The current academic environment shows a trend of excessive specialization, which can result in a fragmented understanding of party history, leading to a loss of overall coherence [3][4]. Group 2: The Concept of "通" (Connectivity) - The term "通" refers to the ability to connect different areas of knowledge, which is crucial for a well-rounded understanding of party history [5][6]. - Four types of connectivity are identified: "纵通" (vertical connectivity), "横通" (horizontal connectivity), "内通" (internal connectivity), and "外通" (external connectivity) [6][7][8][9]. - "纵通" emphasizes understanding historical continuity by linking past and present, while "横通" focuses on the interrelations between various aspects of history [6][7]. - "内通" requires mastery of the discipline's theories and methods, while "外通" involves knowledge of other disciplines to enrich understanding [8][9]. Group 3: The Need for Interdisciplinary Knowledge - Researchers in party history should equip themselves with knowledge from various fields such as history, economics, politics, sociology, literature, and philosophy to enhance their analytical capabilities [11][12]. - The integration of different disciplinary perspectives allows for a deeper understanding of historical figures and events, as exemplified by the study of Mao Zedong [11][12]. - A well-rounded approach not only aids in specific research topics but also enriches the overall discourse in party history studies [11][12].