计算社会科学是计算科学与社会科学的深度融合,致力于运用新的信息资源与信息处理技术为社会科学研究开辟新的路径。随着近年来大数据与人工智能浪潮的兴起,计算社会科学在经济学、社会学、传播学、管理学、心理学、政治学等众多社会学科领域受到前所未有的重视,在短短几年时间里迅速形成了一个新兴学科群,众多学者认为它是21世纪社会科学研究方法创新的主要方向之一。当前,计算社会科学已经创造性地发展出社会数据计算、社会模拟和互联网社会科学实验三种研究方法,在不久的将来,它们会成为社会科学研究者必备的研究手段。本书系统介绍和探讨了这三种新方法的缘起、发展现状、优势与局限、尚待解决的问题以及未来的发展方向。计算社会科学最突出的特点是大学科跨度、大纵深融合,本书充分考虑了社科学者面临的学科壁垒,力图使计算机与信息通信技术知识尚未完全具备的读者,能够对计算社会科学有一个较为全面、较为准确的初步认识。
郝龙 社会学博士,南京航空航天大学人文与社会科学学院公共管理系讲师,硕士生导师,主要研究方向为网络社会和数字治理。
罗俊武 汉大学社会发展研究所研究员,擅长跨学科研究,主要研究方向为计算社会科学、复杂适应系统理论、数字经济。
刘存地 社会学博士,湖北省社会科学院助理研究员,主要研究方向为计算社会科学和互联网传播。
李凤翔 社会学博士,湖南科技大学法学与公共管理学院讲师,主要研究方向为计算社会科学和网络信息内容生态治理。
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