Computational Social Science Workshop at Harvard University's Institute for Quantitative Social Science in January 2010.

2010 年 1 月在哈佛大学定量社会科学研究所举办的计算社会科学研讨会。

• 批准号: 0949108
• 负责人: David Lazer
• 金额: $ 5万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-10-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0949108&HistoricalAwards=false
• 关键词: Computational; Social; Science; Workshop; Harvard

There is a new and rapidly emerging method of inquiry regarding human behavior, which we label ?computational social science.? As with other computational sciences, computational social science is driven by the availability of massive data sets and the computational power to analyze those data. These data sources include ?massive, passive? sources such as call logs, e-mail data, transportation data, corpuses of text, as well as active instrumentation of humans. Computational social science offers great opportunities to produce truly novel insights into collective human behavior. Intellectual Merit:The objective of this workshop is to pull together many of the scattered researchers involved in the emergence of computational social science to address two questions: (1) what is the scientific potential of CSS? And (2) what are the institutional barriers to the forward motion of this area? The first day will therefore be devoted to discussing applications in network science, natural language processing, as well as the value and issues raised in analyzing massive data sets. The second day will be focused on how to build the field?what infrastructure is necessary? What incentives are required? How to facilitate access to data, and how to manage the deep issues around privacy and security? Broader Impacts:Computational social science offers great potential in terms of adding to the collective knowledge of humanity about humanity, and to improve collective well being. The borader impact of this workshop is that it will accelerate forward motion of this emerging field, and help avoid the very substantial potential pitfalls, such as around the area of privacy, that could cause harm to individuals and impede the development of the field.This workshop has the potential to affect policies in academia around the country as to how to foster computational social science. Successful forward movement in this field offers substantial value to the broader public, through improved insights in everything from the spread of pathogens in the population, to collaboration within organizations.

有一种关于人类行为的新的、迅速兴起的研究方法，我们称之为计算社会科学。与其他计算科学一样，计算社会科学是由海量数据集的可用性和分析这些数据的计算能力推动的。这些数据来源包括？海量、被动？例如通话记录、电子邮件数据、运输数据、文本语料库以及人类的活动仪器等来源。计算社会科学提供了很好的机会，可以对人类集体行为产生真正新颖的见解。智力价值：这个研讨会的目标是将参与计算社会科学出现的许多分散的研究人员聚集在一起，以解决两个问题：(1)CS的科学潜力是什么？(2)这一领域向前推进的制度障碍是什么？因此，第一天将专门讨论网络科学、自然语言处理的应用，以及在分析海量数据集时提出的价值和问题。第二天将集中讨论如何建设油田？需要哪些基础设施？需要哪些激励措施？如何促进数据访问，以及如何管理围绕隐私和安全的深层问题？更广泛的影响：计算社会科学在增加人类关于人类的集体知识和改善集体福祉方面提供了巨大的潜力。这个研讨会的前沿影响是，它将加速这个新兴领域的前进，并帮助避免非常实质性的潜在陷阱，例如在隐私领域，可能会对个人造成伤害并阻碍该领域的发展。这个研讨会有可能影响全国学术界关于如何促进计算社会科学的政策。从病原体在人群中的传播到组织内部的合作，这一领域的成功向前推进为广大公众提供了实质性的价值，因为它改进了对一切的洞察。