Empowering the Study of Chinese Civilization with Digital-Intelligence Methods

The Chinese nation possesses a civilizational lineage of more than five thousand years; the fine traditional Chinese culture is the crystallization and essence of Chinese civilization. General Secretary Xi Jinping attaches great importance to Chinese civilization and fine traditional Chinese culture, emphasizing that “we should promote the deepening of research into the history of Chinese civilization, encourage the whole Party and the whole society to strengthen historical consciousness and cultural confidence, and unswervingly follow the path of socialism with Chinese characteristics” and that “only by fully and deeply understanding the history of Chinese civilization can we more effectively promote the creative transformation and innovative development of fine traditional Chinese culture, and more forcefully advance the construction of socialist culture with Chinese characteristics.” [1]1 “Creative transformation and innovative development” (创造性转化、创新性发展) is a guiding principle proposed by Xi Jinping for the revitalization of traditional Chinese culture, encouraging its adaptation to contemporary society. At present, a new round of scientific and technological revolution and industrial transformation is deepening. To promote the creative transformation and innovative development of fine traditional Chinese culture, we must not only be good at inheriting and developing the traditional methods of humanities research, but also be good at using contemporary resources and research tools such as big data and artificial intelligence, fully leveraging the empowering role of digital-intelligence technologies, deeply grasping the grand course of Chinese civilization’s development, using quantitative means and scientific standards to deeply reveal the structural characteristics of Chinese civilization, and deeply interpreting the cultural lineage of Chinese civilization over five thousand years.

中华民族拥有五千多年源远流长的文明脉络，中华优秀传统文化是中华文明的智慧结晶和精华所在。习近平总书记高度重视中华文明和中华优秀传统文化，强调“推动把中国文明历史研究引向深入，推动全党全社会增强历史自觉、坚定文化自信，坚定不移走中国特色社会主义道路”“只有全面深入了解中华文明的历史，才能更有效地推动中华优秀传统文化创造性转化、创新性发展，更有力地推进中国特色社会主义文化建设”。当前，新一轮科技革命和产业变革深入发展。推动中华优秀传统文化创造性转化和创新性发展，不仅要善于传承和发展人文研究的传统方法，还要善于用好大数据、人工智能等当代资源和研究手段，充分发挥数智技术的赋能作用，深入把握中华文明发展的宏大历程，以量化手段和科学标准来深入揭示中华文明的结构特征，深入解读中华文明上下五千年的文脉。

Scientific Measurement of Civilization and Culture

科学测度文明文化

The exploration of civilization and culture is a systematic project that requires the organic combination of archaeological exploration and documentary research with natural science and technological means. General Secretary Xi Jinping pointed out: “We must strengthen overall planning and scientific deployment, adhere to multi-disciplinary, multi-angle, multi-level, and all-round approaches, closely integrate the joint research of archaeology and history, humanities and natural sciences, expand the time-space scope and coverage of research, and further answer major questions such as the basic picture, internal mechanisms of the origin, formation, and development of Chinese civilization, as well as the evolutionary paths of various regional civilizations.” How to scientifically measure cultural factors such as social consciousness and values has long been a difficult problem in the field of philosophy and social sciences. For example, for “soft indicators” such as cultural influence, visibility, and reputation, even if quantitative research and questionnaire surveys are used, the subjective bias of researchers can affect the objectivity of the research results. This not only places some limitations on traditional research methods, but also affects people’s accurate understanding of the temporal and spatial characteristics of civilizational development and its position in the exchange and mutual learning of civilizations. With the development and application of the new generation of information technology, using big data, machine learning and other methods, we can collect, analyze, and organize massive amounts of information such as book text data, global internet search data, news media data, self-media text data, and global academic databases, and construct multi-dimensional measurement indicators for different cultural symbols—such as figures, architecture, cultural products—in their global development and dissemination, thereby measuring cultural factors more scientifically and accurately.

对文明文化的探究是一个系统工程，需要把考古探索和文献研究同自然科学技术手段有机结合起来。习近平总书记指出：“要加强统筹规划和科学布局，坚持多学科、多角度、多层次、全方位，密切考古学和历史学、人文科学和自然科学的联合攻关，拓宽研究时空范围和覆盖领域，进一步回答好中华文明起源、形成、发展的基本图景、内在机制以及各区域文明演进路径等重大问题。”如何对社会意识、价值观等文化因素进行科学测度，是哲学社会科学领域长期以来面临的难题。比如，对于文化影响力、知名度和美誉度等“软指标”，即使采用定量研究、问卷调查等方法，也会因为研究者的主观偏差而对研究结果的客观性产生影响。这不仅使传统的研究方法面临一些局限，也会影响人们对文明发展的时空特征及其在文明交流互鉴中地位的准确认知。随着新一代信息技术的发展应用，运用大数据、机器学习等方法，我们能够对书籍文本数据、全球互联网检索数据、新闻媒体数据、自媒体文本数据以及全球学术数据库等海量信息进行收集、分析和整理，并构建起针对不同文化符号如人物、建筑、文化产品等在全球发展和传播中的多维度测量指标，进而更加科学精准地对文化因素进行测量。

Take book text data as an example. Books are the most important carriers of human thought and cultural concepts over thousands of years. The higher the frequency with which a cultural symbol appears in massive numbers of books, the higher its influence and visibility in the relevant culture. With the help of book big data, we can perform multilingual word frequency retrieval and calculation for various Chinese cultural symbols, forming indicators of the global cultural influence of Chinese cultural heritage, masterpieces, and famous figures over centuries, and compare them scientifically and accurately with other cultural symbols. For example, by analyzing big data from English-language books, we can draw precise word frequency charts to concisely and visually learn whether, in the English-speaking world over centuries, the Great Wall of China has greater cultural visibility than the Egyptian pyramids. Similarly, based on multi-modal data such as images, audio, and video, we can use information such as retrieval, viewing, listening, sharing, commenting, and interaction to establish multiple measurement indicators for the influence of cultural symbols. Who is better known in the German-speaking world, Li Bai or Du Fu? Who has greater influence in East Asian countries, Tang Xianzu or Shakespeare? Big data can provide new solutions to such cultural measurement questions that were previously unanswerable, and can also provide solid quantitative evidence for further strengthening cultural confidence and promoting the exchange and mutual learning of civilizations.

以书籍文本数据为例。书籍是承载数千年来人类思想和文化观念最重要的载体，一个文化符号在海量书籍中出现的频率越高，它在相关文化中的影响力、知名度自然也就越高。借助图书大数据，我们可以对各类中华文化符号进行多语种词频检索与计算，形成数百年来中国文化遗产、名著和名人的全球文化影响力指标，并与其他各种文化符号进行科学精准对比。比如，通过对英文书籍大数据进行分析，我们可以绘制出精确的词频图，简明形象地获知在英语世界中，数百年来是中国长城更具文化知名度还是埃及金字塔更胜一筹。类似地，基于图像、音频和视频等多模态数据，我们能够基于检索、收听、收看、分享、评论和互动等信息，为文化符号的影响力建立起多种测量指标。李白和杜甫谁在德语世界更知名？汤显祖和莎士比亚谁在东亚诸国的影响力更大？诸如此类以往无法回答的文化测量问题，大数据都能够给我们提供新的解决方案，也能够为我们进一步坚定文化自信、促进文明交流互鉴提供扎实的计量依据。

Seeing Through the Deep Structure of Civilization and Culture

透视文明文化深层结构

Writing and text, as core carriers of culture and civilization, bear rich historical information and cultural significance. The Chinese nation has attached great importance to preserving historical materials since ancient times. From the Twenty-Four Histories [2]2 The Twenty-Four Histories (二十四史) are the official dynastic histories of China, covering from remote antiquity to the Ming dynasty, compiled by successive Confucian scholar-officials. to poetry, lyrics, and songs, China’s rich historical documents ensure the continuity of Chinese culture. General Secretary Xi Jinping pointed out: “We must use modern scientific and technological means to strengthen the protection, restoration, and comprehensive utilization of ancient books and classics, and deeply explore the philosophical ideas, humanistic spirit, value concepts, and moral norms contained in ancient books.” Faced with a vast ocean of texts, it is difficult for individual researchers to form a comprehensive, precise, and bird’s-eye observation and analysis. For example, there are about 50,000 extant Tang poems, which only diligent scholars can read in full; the number of extant Qing poems is vast and complex in style, without a precise and generally accepted estimate, so its enormous scale can be imagined. This means that although we have a tradition of poetry education spanning thousands of years, as individuals it is difficult for us to read all the poetry of China’s various historical dynasties in full. Many theories and hypotheses in literary history and poetry history can only rely on scholars’ perceptual understanding and grasp of some works. In this sense, the introduction of big data and machine learning methods can help humanity form a more complete and precise literary and cultural history.

文字和文本作为文化与文明的核心载体，承载着丰富的历史信息与文化意义。中华民族自古以来就十分重视保存历史资料。从二十四史到诗词歌赋，我国丰富的历史文献保证了中华文化的延绵不断。习近平总书记指出：“要运用现代科技手段加强古籍典藏的保护修复和综合利用，深入挖掘古籍蕴含的哲学思想、人文精神、价值理念、道德规范”。面对浩如烟海的文本，仅凭个体研究者的力量，难以形成全面、精确、鸟瞰式的观察与分析。例如，现存的唐诗有约5万首，只有勤勉的学者才能遍读；现存的清诗数量庞大、体例繁复，尚未有精准公认的估计值，其浩瀚规模可想而知。这意味着，尽管我们有数千年的诗教传统，但作为个体，我们对中国历朝历代总体诗歌很难全部读一遍。大量文学史、诗歌史中的理论和假说的来源，只能依赖于学者对部分作品的感性认识与把握。从这个意义上说，大数据和机器学习方法的引入，能够帮助人类形成更加完整、精确的文学文化史。

For massive text big data such as poetry, lyrics, songs, and even novels, using unsupervised learning clustering algorithm techniques such as the LDA (Latent Dirichlet Allocation) topic model, [3]3 The LDA (Latent Dirichlet Allocation) topic model is a generative statistical model for discovering abstract topics in collections of text documents, widely used in machine learning and text mining. we can quickly obtain the distribution and structure of text content themes from a global perspective, compensating for the limitations of traditional research methods. For example, the LDA topic model, as a text mining tool, can discover potential thematic structures in texts and can be widely used in fields such as information retrieval, text classification, and sentiment analysis. Using this model, we can identify different themes in the Complete Tang Poems, Complete Qing Poems, or other massive literary works. By further calculating and summing up the distribution of single-word attributes for each work, we can classify each poem into recognized themes, such as frontier fortress poems, pastoral poems, etc., and even draw a map of the evolution of poetic themes over a historical period. This method not only enhances the ability to read and understand individual texts, but also provides an unprecedented tool for macro-level observation of the temporal changes and generational transformations of the cultural lineage. Furthermore, the introduction of deep learning models, especially the application of convolutional neural networks and recurrent neural network models, makes joint analysis of images and texts possible. Taking literati painting as an example, by analyzing the relationship between images and inscribed poems, deep learning models can reveal potential connections between images and poetry, such as how imagery in poetry echoes visual elements in the painting. This analysis breaks through the limitations of single text data, making the study of text and images more three-dimensional and multi-dimensional, providing new methods and perspectives for studying traditional art forms. In addition, generative artificial intelligence also shows great potential in massive text content analysis. Artificial intelligence with natural language processing and image generation functions can automatically analyze, generate, and summarize massive text data. Overall, empowering civilization research with digital-intelligence methods can make the deep structures within the civilizational lineage—especially those internal characteristics that individual researchers find difficult to discover with their mental capacities—visible, thereby providing important methods for better understanding the evolution and structural features of the cultural lineage.

对于诗词歌赋甚至小说等海量文本大数据，运用无监督学习的聚类算法技术，可以迅速从全局视角获得文本内容题材的分布和结构，弥补传统研究方法的局限。例如，LDA（Latent Dirichlet Allocation）主题模型作为一种文本挖掘工具，能够从文本中发现潜在的主题结构，可以广泛应用于信息检索、文本分类和情感分析等领域。运用这一模型，可以识别出全唐诗、全清诗或其他海量文学作品中的不同题材。进一步对每篇作品的单字属性分布进行计算和加总，还能将每一首诗归入识别出的题材中，比如边塞诗、田园诗等，甚至能绘制出一个历史时期中的诗歌题材演化图。这种方法不仅有助于增强对单一文本的阅读和理解能力，也为从宏观上鸟瞰文化脉络的时间之变、世代之变提供了前所未有的工具。此外，深度学习模型的引入，尤其是卷积神经网络和循环神经网络模型的应用，使得图像与文本的联合分析成为可能。以文人画为例，通过分析图像和题诗之间的关系，深度学习模型能够揭示图像与诗词之间的潜在联系，如诗词中的意象如何与画面中的视觉元素相呼应。这种分析突破了单一文本数据的局限，使得对文本和图像的研究更加立体和多维，为研究传统艺术形式提供了全新的方法和视角。此外，生成式人工智能同样也能在海量文本内容分析中展现巨大潜力。具有自然语言处理和图像生成功能的人工智能可以对海量文本数据进行自动分析、生成与总结。总的来看，以数智方法赋能文明研究，可以让文明脉络中的深层结构，特别是那些由个体研究者凭借心脑能力难以发现的内在特征变得可视化，从而为更好地理解文脉演变和结构特征提供重要方法。

Capturing the Beauty of Cultural Heritage

捕捉文化遗产之美

Cultural heritage is a precious asset left by our ancestors. General Secretary Xi Jinping pointed out: “Protecting and passing on historical and cultural heritage is a responsibility to history and to the people.” The historical relics, cultural monuments, and humanistic heritage of a city are part of the city’s life and an important component of cultural heritage. If the cultural heritage is destroyed, no matter how new or good the city is built, it will lack vitality. During an inspection in Beijing, General Secretary Xi Jinping emphasized: “We must unify the renovation and upgrading of old urban areas with the protection of historical relics and the preservation of the historical lineage, not only improving the living environment but also protecting the historical and cultural heritage, allowing historical culture and modern life to integrate.” During an inspection in Shanghai, he emphasized: “We must focus on inheriting the urban cultural lineage and strengthen the protection of cultural relics and cultural heritage.” Digital-intelligence technologies provide important data foundations and monitoring methods for cultural heritage protection, enabling the depiction of the “big picture” and “main threads” of historical and cultural changes. Establishing a comparative data system for the outline, texture, and style of old urban areas from ancient to modern times is of great significance for protecting and promoting fine traditional Chinese culture and continuing the urban historical lineage.

文化遗产是老祖宗留下来的宝贵财富。习近平总书记指出：“保护好、传承好历史文化遗产是对历史负责、对人民负责。”一个城市的历史遗迹、文化古迹、人文底蕴，是城市生命的一部分，也是文化遗产的重要组成部分。文化底蕴毁掉了，城市建得再新再好，也是缺乏生命力的。习近平总书记在北京考察时强调“要把老城区改造提升同保护历史遗迹、保存历史文脉统一起来，既要改善人居环境，又要保护历史文化底蕴，让历史文化和现代生活融为一体”，在上海考察时强调“要注重传承城市文脉，加强文物和文化遗产保护”。数智技术为文化遗产保护提供了重要的数据基础和监测手段，能够描绘出呈现历史文化变迁的“大视野”“大脉络”。建立一套针对老城区轮廓、肌理与风貌的古今对比数据体系，对于保护和弘扬中华优秀传统文化、延续城市历史文脉具有重要意义。

Traditional methods of cultural heritage protection rely on historical documents, field surveys, and limited means of relic protection. When faced with massive and complex cultural heritage data and historical evolution, it is difficult to accurately reproduce the true appearance of old cities before large-scale urban renovation, and also difficult to achieve precise monitoring and dynamic assessment. Digital-intelligence technologies provide new ideas and tools for data reconstruction of ancient city protection. For example, using historical satellite images as big data, we can construct two-dimensional historical scrolls; using intelligent algorithms such as machine learning, we can analyze and integrate texts, images, videos, and geographic information from massive historical materials. Supplemented by digital modeling techniques such as LiDAR and drone scanning, and using high-precision geographic information systems and visual enhancement technologies, we can display the distribution and evolution processes of ancient city walls, ancient streets, ancient river channels, and other relics in virtual space. The “Digital Atlas for the Protection of Ancient Chinese Cities” [4]4 The “Digital Atlas for the Protection of Ancient Chinese Cities” (中华古城保护数字图谱) is a data integration project at Nanjing University that uses satellite imagery, GIS, and digital modeling to reconstruct and monitor historical urban landscapes. developed by Nanjing University represents such a data integration innovation. Furthermore, by introducing social development indicators and using time series and spatial analysis, digital-intelligence technologies can study the patterns of cultural heritage change and the socio-cultural factors behind them. This helps transform cultural heritage protection from static recording to dynamic monitoring, tracking the changes and risk challenges faced by cultural heritage protection in real time, which not only improves the accuracy and efficiency of protection but also endows cultural heritage with new vitality.

传统的文化遗产保护方法有赖于历史文献、实地调研和有限的遗迹保护手段，在面对庞大且复杂的文化遗产数据和历史演变时，很难精准重现大规模旧城改造之前的真实老城风貌，也难以实现精准监测和动态评估。数智技术为古城保护提供了全新的数据重建思路和工具。比如，把历史卫星图像作为大数据，可以建立起二维的历史画卷；运用机器学习等智能算法，能够对海量历史资料中的文本、图像、影像和地理信息进行分析整合。辅以激光雷达、无人机扫描等数字化建模手段，运用高精度的地理信息系统与视觉强化技术，能够在虚拟空间展现古城墙、古街巷、古河道等遗迹的分布和演化过程。南京大学的“中华古城保护数字图谱”就形成了这样一种数据集成创新。此外，数智技术通过引入社会发展指标，利用时间序列和空间分析，能够研究文化遗产变化的规律及其背后的社会文化因素。这有助于让文化遗产保护实现从静态记录到动态监测的转变，实时追踪文化遗产保护面临的变化和风险挑战，不仅有利于提升保护的精确性和效率，也赋予文化遗产新的生命力。

Through the empowerment of digital-intelligence methods, the beauty of cultural heritage can also be presented in a three-dimensional and vivid manner. Whether for large human settlement spaces such as city walls and villages, or other small-scale immovable cultural relics, this all-round, multi-dimensional presentation method helps break through the limitations of traditional static display, enabling every cultural relic and every site to “come alive” and possess stronger narrative attributes. The beauty of cultural heritage will no longer be displayed only through static texts or images, but can be presented through more vivid methods, helping to trace the development of civilization, show historical evolution, and integrate into social life, thereby more deeply reflecting the connotation of the national spirit. This presentation method can promote the dissemination of cultural heritage as classic symbols of fine traditional Chinese culture, making it a cultural bond that transcends time and space. Globally, the dissemination of cultural heritage promotes dialogue and understanding between different civilizations, providing new perspectives and momentum for global cultural exchange and mutual learning among civilizations.

通过数智方法赋能，文化遗产之美也得以立体而生动地呈现。无论是对于城垣、村落等大型人类聚居空间，还是其他小规模的不可移动文物，这种全方位、多维度的呈现方法均有助于突破传统静态展示的局限，使每一件文物、每一处遗迹都“活”起来，具备更强的叙事属性。文化遗产之美将不再只能通过文本或图像静态展示，而是可以通过更加生动的展示方式，帮助追溯文明发展、展现历史沿革、融入社会生活，从而更深刻地反映民族精神内涵。这种呈现方式能够推动文化遗产作为中华优秀传统文化的经典符号加强传播，使其成为跨越时空的文化纽带。在全球范围内，文化遗产传播促进了不同文明之间的对话与理解，为全球文化交流与文明互鉴提供了新的视角和动力。

Upholding Fundamental Principles and Breaking New Ground to Strengthen Civilization Research [5]5 “Upholding fundamental principles and breaking new ground” (守正创新) is a key concept in Xi Jinping’s cultural thought, meaning to preserve the correct orientation while boldly innovating.

守正创新加强文明研究

To advance the construction of socialist culture with Chinese characteristics, upholding fundamental principles and breaking new ground is an important principle. At the Symposium on Cultural Heritage and Development, General Secretary Xi Jinping emphasized: “Upholding fundamental principles prevents us from losing ourselves and losing direction; breaking new ground enables us to grasp the times and lead the times.” At the 17th collective study session of the Political Bureau of the 20th CPC Central Committee, he emphasized: “We must anchor the strategic goal of building a cultural power by 2035, adhere to Marxism as the fundamental guiding ideology, take root in the broad and profound Chinese civilization, follow the trend of information technology development, and continuously develop socialist culture with Chinese characteristics for a New Era that has strong ideological leadership, spiritual cohesion, value appeal, and international influence.” Empowering the study of Chinese civilization with digital-intelligence methods is a vivid practice of upholding fundamental principles and breaking new ground to strengthen cultural construction. Relying on multi-source big data, using artificial intelligence technology as a method, and taking temporal change, spatial difference, and spatiotemporal evolution as perspectives to conduct an all-round “remote sensing” of the process of civilization and cultural development, this approach forms a complement with traditional models of philosophy and social science research that is analogous to the relationship between viewing celestial phenomena from afar and observing objects up close, or between telescopes and microscopes. This method of civilization and cultural research empowered by digital-intelligence is often called “cultural distant reading.” [6]6 “Cultural distant reading” (文化远读) borrows from the concept of “distant reading” in literary studies, referring to the analysis of large-scale cultural data using computational methods, analogous to remote sensing.

推进中国特色社会主义文化建设，守正创新是一条重要原则。习近平总书记在文化传承发展座谈会上强调“守正才能不迷失自我、不迷失方向，创新才能把握时代、引领时代”，在二十届中共中央政治局第十七次集体学习时强调“要锚定2035年建成文化强国的战略目标，坚持马克思主义这一根本指导思想，植根博大精深的中华文明，顺应信息技术发展潮流，不断发展具有强大思想引领力、精神凝聚力、价值感召力、国际影响力的新时代中国特色社会主义文化”。以数智方法赋能中华文明研究，正是守正创新加强文化建设的生动实践。以多来源大数据为依托，以人工智能技术为方法，以时间变迁、空间差异、时空演化为视角对文明文化发展过程进行全方位“遥感”，与传统哲学社会科学研究模式形成了类似远观天象和近察物情、望远镜和显微镜那样的相互补充。这种数智赋能的文明文化研究方法通常被称为“文化远读”。

Big data and artificial intelligence technologies provide broader perspectives and more precise analytical tools for “cultural distant reading,” so that the analysis of cultural phenomena and historical and cultural heritage is no longer limited to traditional local empirical accumulation research. By comprehensively applying diverse and heterogeneous massive big data and deeply exploring the deep structure of Chinese civilization, it helps reveal the influence and dissemination effects of classic symbols of fine traditional Chinese culture on a global scale, and contributes to correcting bias issues in Western databases and large language models. Through intelligent algorithm analysis, it can present the distribution characteristics, evolutionary paths, dissemination effects, and influencing factors of fine traditional Chinese culture at different historical stages. This research method not only promotes the inheritance and innovative development of Chinese civilization, but also provides new perspectives for understanding the diversity and uniqueness of global cultures.

大数据与人工智能技术为“文化远读”提供了更广阔的视野和更精确的分析工具，对文化现象和历史文化遗产的分析不再局限于传统的局部经验积累研究。通过综合运用多元异构的海量大数据，深入探讨中华文明的深层结构，有助于揭示中华优秀传统文化经典符号在全球范围内的影响力与传播效应，并有助于纠正西方数据库和大语言模型中的偏见问题。通过智能算法分析，可以呈现中华优秀传统文化在不同历史阶段的分布特征、演化路径、传播效果和影响因素。这种研究方法不仅有助于推动中华文明的传承和创新发展，也为理解全球文化的多样性和独特性提供了新的视角。

While recognizing the great application potential of the “cultural distant reading” research method, we must also note its certain limitations, such as high technical thresholds and reliance on massive data sources and complex algorithms. It still needs to be combined with traditional cultural research methods to help researchers gain a more comprehensive and in-depth understanding of cultural connotations. Empowering the study of Chinese civilization with digital-intelligence methods can promote interdisciplinary development in this field, accelerate the construction of an independent knowledge system for Chinese philosophy and social sciences, and provide Chinese ideas for the cultural governance practices of other countries. At the same time, it also helps enhance the discourse power of Chinese civilization in the global civilizational system, lay the knowledge foundation for truly understanding the historical inevitability, cultural connotations, and unique advantages of the Chinese path, and open a scientific path for consolidating cultural subjectivity and strengthening cultural confidence.

在看到“文化远读”这一研究方法巨大应用潜力的同时，也要注意其有一定局限性，比如技术门槛较高、依赖海量数据源和复杂算法等。它仍需与传统的文化研究方法结合，才能帮助研究者更加全面深入地理解文化意涵。以数智方法赋能中华文明研究，能够促进该领域的跨学科发展，加速中国哲学社会科学自主知识体系的构建，为其他国家的文化治理实践提供中国思路。同时，也有助于提升中华文明在全球文明体系中的话语权，为真正理解中国道路的历史必然、文化内涵与独特优势奠定知识基础，为巩固文化主体性、坚定文化自信开辟科学路径。

(The author is Deputy Secretary of the Party Committee of Nanjing University)

（作者为南京大学党委副书记）

Online Editor: Huihui

网络编辑：慧慧