第一章：数字人文导论 / Chapter 1: Introduction to Digital Humanities

数字人文（Digital Humanities，简称DH）是一个蓬勃发展的跨学科领域，它运用数字技术来研究、阐释和呈现人文资料，同时亦对人文学科的理论与方法进行批判性反思。与传统人文学科相比，数字人文强调协作、开放与实验，其研究成果常以动态项目、在线资源或可视化工具的形式存在，而非仅限于纸质出版物。本章将引领读者进入数字人文的世界，从其定义、跨学科本质、历史演进、范式变革到实际应用，全面构建认知框架，为后续的技术实践章节做好准备。

Digital Humanities (DH) is a vibrant interdisciplinary field that employs digital technologies to research, interpret, and present humanistic materials, while also engaging in critical reflection on the theories and methods of the humanities. Compared to traditional humanities, DH emphasizes collaboration, openness, and experimentation, with research outputs often taking the form of dynamic projects, online resources, or visualization tools rather than solely printed publications. This chapter will guide readers into the world of Digital Humanities, comprehensively building a cognitive framework from its definition, interdisciplinary nature, historical evolution, paradigm shifts, to practical applications, preparing for the subsequent technical practice chapters.

数字人文的定义与核心特征

数字人文没有单一、固定的定义，但其核心共识是：将数字技术与人文研究深度融合，以拓展研究边界、创新方法论并促进学术传播。联盟（Alliance of Digital Humanities Organizations, ADHO）将其定义为“一个跨学科领域，涉及数字时代的人文研究、教学与出版，其特点是计算与人文学科的协作”。这一定义突出了三个关键维度：研究（research）、教学（teaching）与出版（publishing），以及计算（computation）与人文学科（humanities）的互动。在实践中，数字人文既包括使用现成工具进行人文资料分析（如文本挖掘软件），也涵盖开发新工具、构建数字档案或创建交互式可视化项目。

Digital Humanities lacks a single, fixed definition, but its core consensus is the deep integration of digital technologies with humanities research to expand research boundaries, innovate methodologies, and facilitate scholarly communication. The Alliance of Digital Humanities Organizations (ADHO) defines it as "an interdisciplinary field that brings digital tools and methods to the study of the humanities, with a focus on collaborative, transdisciplinary, and computationally engaged research, teaching, and publishing." This definition highlights three key dimensions: research, teaching, and publishing, as well as the interaction between computation and the humanities. In practice, DH encompasses both the use of existing tools for analyzing humanistic materials (e.g., text mining software) and the development of new tools, construction of digital archives, or creation of interactive visualization projects.

数字人文的核心特征可归纳为五点：第一，跨学科性（Interdisciplinarity），它打破学科壁垒，融合人文学科、计算机科学、社会科学甚至自然科学的方法与视角；第二，技术性（Technological Engagement），技术不仅是工具，更是研究问题的一部分，研究者需理解技术原理及其局限；第三，批判性（Critical Reflection），数字人文并非盲目崇拜技术，而是持续反思数字方法对知识生产、学术伦理和文化权力的影响；第四，协作性（Collaboration），项目常由多元背景的团队（如学者、程序员、设计师、图书馆员）共同完成， authorship 往往集体化；第五，成果多样性（Diverse Outputs），成果形式丰富，包括数据库、网站、交互地图、多媒体叙事、开源代码等，且多在线开放获取。

The core characteristics of DH can be summarized into five points: First, interdisciplinarity, breaking down disciplinary barriers and integrating methods and perspectives from humanities, computer science, social sciences, and even natural sciences; second, technological engagement, where technology is not merely a tool but part of the research question itself, requiring researchers to understand technical principles and limitations; third, critical reflection, as DH does not blindly worship technology but continuously reflects on the impact of digital methods on knowledge production, academic ethics, and cultural power; fourth, collaboration, with projects often undertaken by diverse teams (e.g., scholars, programmers, designers, librarians), leading to collective authorship; fifth, diverse outputs, including databases, websites, interactive maps, multimedia narratives, open-source code, etc., mostly available online with open access.

跨学科性质：人文学科、计算机科学与社会科学的三重奏

数字人文的跨学科性并非简单拼凑，而是产生“协同效应”（synergy）。人文学科（如历史学、文学、语言学、哲学）提供研究问题、理论框架与原始资料；计算机科学贡献算法、数据结构、软件开发与高性能计算能力；社会科学（如社会学、人类学、传播学）则引入实证研究方法、用户研究与社会影响评估。这种三重奏使得数字人文项目既能深入人文内涵，又能确保技术可行性，同时关注社会意义。例如，在“中国历代人物传记资料库”（CBDB）项目中，历史学者界定研究问题（如宋代士人流动）、计算机专家设计数据库结构并开发查询算法、社会科学家评估数据偏差与代表性。三者缺一不可：若无历史学输入，项目可能沦为技术演示；若无计算机科学，大规模数据处理无从实现；若无社会科学视角，结论可能忽略社会建构因素。

The interdisciplinarity of DH is not a simple juxtaposition but generates "synergy." Humanities disciplines (e.g., history, literature, linguistics, philosophy) provide research questions, theoretical frameworks, and primary materials; computer science contributes algorithms, data structures, software development, and high-performance computing; social sciences (e.g., sociology, anthropology, communication) introduce empirical research methods, user studies, and social impact assessment. This trio enables DH projects to be both deeply humanistic and technically feasible while considering social implications. For instance, in the China Biographical Database (CBDB) project, historians define research questions (e.g., scholar mobility in the Song dynasty), computer scientists design database schemas and develop query algorithms, and social scientists assess data bias and representativeness. All three are indispensable: without historical input, the project might become a mere technical demonstration; without computer science, large-scale data processing would be impossible; without a social science perspective, conclusions might ignore socially constructed factors.

跨学科合作也面临挑战：学科术语差异、评价标准冲突（如学术期刊偏好理论创新而非工具开发）、时间投入不均等。成功的数字人文项目通常建立共同语言、明确分工与整合机制。许多大学设立数字人文中心（Digital Humanities Centers）作为跨学科平台，提供技术支撑与培训。例如，斯坦福大学数字人文实验室（Stanford Humanities Lab）鼓励人文学者与工程师共同设计项目，定期举办工作坊以弥合知识差距。这种合作模式不仅产出研究成果，更培养新一代“双栖”人才——既懂人文又通技术。

Interdisciplinary collaboration also faces challenges: disciplinary jargon differences, conflicting evaluation criteria (e.g., academic journals favoring theoretical innovation over tool development), and uneven time commitments. Successful DH projects often establish common languages, clear division of labor, and integration mechanisms. Many universities have set up Digital Humanities Centers as interdisciplinary platforms providing technical support and training. For example, the Stanford Humanities Lab encourages humanities scholars and engineers to co-design projects and holds regular workshops to bridge knowledge gaps. This collaborative model not only produces research outcomes but also cultivates a new generation of "bilingual" talents—versed in both humanities and technology.

发展历程：从人文计算到数字人文的演变

数字人文的历史可追溯至20世纪40年代的人文计算（Humanities Computing）阶段。1949年，耶稣会牧师罗伯托·布萨（

布萨的《拉丁文索引》（Index Thomisticus）项目耗时约30年，使用IBM穿孔卡片计算机处理圣托马斯·阿奎那的著作，创建了首个大规模人文文本语料库。这一项目奠定了人文计算（Humanities Computing）的基础，其核心思想是：将文本转化为可计算的数据，以揭示人工阅读难以发现的模式。然而，受限于技术条件，这一阶段长期处于边缘，仅少数语言学、古典学研究者采用，方法以关键词计数、词表编制为主，理论反思薄弱。

Roberto Busa's *Index Thomisticus* project, spanning roughly 30 years, used IBM punch card computers to process the works of St. Thomas Aquinas, creating the first large-scale humanistic text corpus. This project laid the foundation for Humanities Computing, with its core idea being: transforming texts into computable data to reveal patterns difficult to discover through manual reading. However, constrained by technology, this phase remained marginal for decades, adopted mainly by a few linguists and classicists, with methods focusing on keyword counts and word lists, and lacking theoretical reflection.

20世纪70至80年代，人文计算在语言学、文献学领域稳步发展。计算机辅助词典编纂（如《牛津英语词典》早期电子化）、语料库语言学（建立与分析自然语言文本集合）成为主流。标志性事件是1973年“文学与语言学计算协会”（Association for Literary and Linguistic Computing, ALLC）成立，1989年“计算机与人文学科协会”（Association for Computers and the Humanities, ACH）成立，为领域提供了专业社群。但此时，技术仍被视为“工具”，人文研究者主导，计算机专家多为辅助角色，项目规模小，成果多为学术论文或专刊。

The 1970s-80s saw steady growth of Humanities Computing in linguistics and philology. Computer-assisted lexicography (e.g., early digitization of the *Oxford English Dictionary*) and corpus linguistics (building and analyzing collections of natural language texts) became mainstream. Milestones included the founding of the Association for Literary and Linguistic Computing (ALLC) in 1973 and the Association for Computers and the Humanities (ACH) in 1989, providing professional communities. However, technology was still seen as a "tool," with humanists leading projects and computer exp