We stand at the foot of a significant inflection in the trajectory of scientific discovery. As society continues on its fast-paced digital transformation, so does humankind's collective scientific knowledge and discourse. We now read and write papers in digitized form, and a great deal of the formal and informal processes of science are captured digitally -- including papers, preprints and books, code and datasets, conference presentations, and interactions in social networks and collaboration and communication platforms. The transition has led to the creation and growth of a tremendous amount of information -- much of which is available for public access -- opening exciting opportunities for computational models and systems that analyze and harness it. In parallel, exponential growth in data processing power has fueled remarkable advances in artificial intelligence, including large neural language models capable of learning powerful representations from unstructured text. Dramatic changes in scientific communication -- such as the advent of the first scientific journal in the 17th century -- have historically catalyzed revolutions in scientific thought. The confluence of societal and computational trends suggests that computer science is poised to ignite a revolution in the scientific process itself.

翻译：我们正站在科学发现轨迹上一个重要拐点的起点。随着社会持续加速数字化转型，人类集体的科学知识与论辩也随之演进。如今，我们以数字化形式阅读和撰写论文，大量正式与非正式的科学流程均以数字方式被记录——包括论文、预印本与书籍、代码与数据集、会议报告，以及社交网络和协作交流平台中的互动。这一转变催生了海量信息的产生与增长——其中大部分可供公众获取——为分析和利用这些信息的计算模型与系统开辟了令人振奋的机遇。与此同时，数据处理能力的指数级增长推动了人工智能领域的显著进步，包括能够从非结构化文本中学习强大表征的大型神经语言模型。历史上，科学交流的重大变革——如17世纪首份科学期刊的问世——曾催化科学思想的革命。社会与计算趋势的汇聚表明，计算机科学正蓄势在科学进程本身引发一场变革。