CPATH CB: Applied Computer Science for the Humanities and Social Sciences

计算机在所有学科中都变得不可或缺。社会科学领域的研究人员依赖于大型数据存储库的可用性和网络上数据的一般可用性。人文学科的研究人员越来越希望分析越来越多的电子语料库。所有领域的工作人员都在利用新的方式发布数据，并利用电子媒体与同事和其他人进行互动。此外，越来越多的工作和公司依赖于对信息的理解和处理。像bbo、沃尔玛、亚马逊和高盛这样各种各样的现代公司，它们的成功在很大程度上都归功于它们对现有信息的评估和行动能力。据估计，在未来十年，美国劳动力中有超过1200万人将考虑编程作为他们的主要工作，这远远超过了当前或近期计算机科学专业的人数。为了满足这些需求，让学生更好地为从事信息处理相关的职业做好准备，为明天做好准备？美国的人文社会科学研究人员，并为明天做准备？作为一个以信息为基础的世界的工作人员，计算机科学需要超越它的传统受众，甚至超越科学。这个项目专注于传统上被计算机科学家忽视的学科，利用日益增长的革命将计算应用于社会工件。其次，它将导致一种新颖的、应用驱动的、按需的计算材料呈现，在课程中很早就出现机器学习和数据挖掘等主题，而不是很晚。第三，发展以同心圆形式安排的课程，使学生的承诺不断增加，这样，提早辍学的学生仍然会得到有意义的教育。它将为在人文和社会科学领域越来越多地使用计算和网络基础设施提供适当的基础。它最终将训练这些已经被降级的学生使用工具，为网络基础设施做出自己的重要贡献。这将导致更多的女性和少数族裔——传统上在计算机领域代表性不足的群体——使用和使用计算和网络基础设施。最后，它将使学生将他们深刻的社会和人文见解与工具结合起来，使他们能够创造出有能力极大地丰富社会的奇妙发明。

Computers are becoming essential in all disciplines. Researchers in the social sciences rely on the availability of large data repositories and the general availability of data over the Web. Researchers in the humanities are increasingly looking to analyze the growing number of electronic corpora. Workers in all fields are making use of new ways to publish data and of to interact with colleagues and others using electronic media. Moreover, more and more jobs and companies are relying on the understanding and processing of information. Modern companies as diverse as Google, WalMart, Amazon, and Goldman Sachs all owe their success in large part to their ability to evaluate and act on available information. It is estimated that in the next ten years, over twelve million people in the U.S. workforce will consider programming their primary job, which is far more than the current or near-term number of computer science majors. To address these needs, to better prepare students for careers involving information processing, to preparetomorrow?s researchers in the humanities and social sciences, and to prepare tomorrow?s workers for an information-based world, computer science needs to reach out beyond its traditional audience and even beyond the sciences. This project focuses on disciplines that have traditionallybeen neglected by computer scientists, harnessing the growing revolution in applying computing to social artifacts. Second, it will result in a novel, application-driven, on-demand presentation of computing material, coming to topics like machine-learning and data-mining very early, rather than late, in the curriculum. Third, the development of a curriculum arranged in concentric rings of growing commitment, where a student who stops early will still get a meaningful education. It will provide the proper foundation for the growing use of computing and cyberinfrastructure in the humanities and social sciences. It will ultimately train such students have been relegated to with the tools to make their own non-trivial contributions to cyberinfrastructure. It will result in more women and minorities, groups traditionally underrepresented in computing, working with and using computation and cyberinfrastructure. Finally, it will enable students to wed their deep social and humanistic insights to tools that can enable them to build wonderful inventions that have the power to greatly enrich society.