Breakthrough technologies increasingly shape social institutions, economic systems, and political futures. Yet models of research excellence associated with such technologies often prioritize technical performance, scalability, and short-term innovation metrics while treating ethical, social, and cultural dimensions as secondary considerations. This perspective article argues that such separation is no longer tenable. We propose a broader understanding of excellence that combines technical rigor with ethical robustness, social intelligibility, and long-term relevance. The rapid emergence of generative and agentic artificial intelligence further underscores this argument. As technological systems increasingly operate through language, interpretation, and normative alignment, expertise traditionally cultivated in the humanities and social sciences becomes integral to the design, governance, and responsible deployment of such systems. Drawing on historical examples and contemporary research practices, this article examines five interconnected domains where the humanities and social sciences, treated as integrated dimensions of research practice, can strengthen technological development: (1) ethical, legal, and social integration in agenda-setting and research design; (2) plural and reflexive foresight practices that shape technological futures; (3) graduate education as a leverage point for cross-disciplinary literacy; (4) visualization and communication as epistemic and civic practices; and (5) institutional frameworks that move beyond rigid distinctions between basic and applied research. Across these dimensions, we propose practical strategies for embedding interdisciplinary collaboration structurally rather than symbolically.

翻译：突破性技术日益塑造着社会制度、经济体系与政治未来。然而，与此类技术相关的研究卓越性模型往往优先考虑技术性能、可扩展性和短期创新指标，而将伦理、社会和文化维度视为次要考量。本文认为这种割裂已不再可持续。我们提出一种更广泛的理解卓越性的视角，将技术严谨性与伦理稳健性、社会可理解性及长期相关性相结合。生成式与能动人工智能的迅速崛起进一步强化了这一论点。随着技术系统日益通过语言、阐释和规范对齐来运作，传统上在人文与社会科学中培养的专业知识，已成为此类系统设计、治理和负责任部署不可或缺的组成部分。本文借鉴历史案例与当代研究实践，探讨了五个相互关联的领域——在这些领域中，将人文与社会科学视为研究实践的整合维度，能够有效加强技术发展：(1)议程设定与研究设计中的伦理、法律与社会整合；(2)塑造技术未来的多元反思性预见实践；(3)作为跨学科素养杠杆点的研究生教育；(4)作为认知与公民实践的可视化与传播；(5)超越基础与应用研究僵化区分的制度框架。基于这些维度，我们提出了将跨学科合作结构性而非象征性嵌入研究体系的实际策略。