Infrastructure for Basic Research in the Social Sciences

社会科学研究基础设施

• 批准号: 9978092
• 负责人: James Alt
• 金额: $ 26.98万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2003-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9978092&HistoricalAwards=false
• 关键词: Infrastructure; Basic; Research; Social; Sciences

The proposed pilot program involves planning conferences and oversight activities leading to the selection and implementation of multidisciplinary projects capable of developing theoretical microfoundations and strengthening empirical methods in the social sciences. The program seeks support for a series of multidisciplinary collaborative research projects to be organized at the Center for Basic Research in the Social Sciences (C-BRSS) at Harvard University. Basic research is inherently interdisciplinary and implies quanitification and the fostering of mathematical techniques in social analysis. Two examples of exciting developments not widely known to social scientists, or at least not widely used in their research, are provided. One develops microfoundations by drawing together scholars from evolutionary approaches, cognitive science, experimental social science, and rational choice. The other combines innovators, methodologists, and substantive researchers in developing neural network methods. Both projects exemplify the interdisciplinary cooperation and collaboration that will emerge from the unique proposed program of project design, selection, and management. The proposed program builds on our significant experience in working with scholars in different fields. A feature of the program is the design of multidisciplinary projects spanning a period of selection and planning, the actual execution of research, ongoing evaluation, and follow-up dissemination and eventual publication. Another is the explicit process by which proposal selection and evaluation of areas of investigation and project participants occur. The process if open and fair, making the project and its results accessible, accountable, and available to the broader scholarly community. There are clear procedures for evaluating the success of projects based on observable producitivty. Projects benefit from the presence of a strong supportive intellectual environment for participants. C-BRSS provides a site and the technological foundation for a unique combination of in-residence and virtual collaboration. Finally, but by no means least important, C-BRSS can draw on a unique financial arrangement with the university for matching support in order to contribute significant cost sharing to the program.

拟议的试点方案涉及规划会议和监督活动，以选择和实施能够发展理论微观基础和加强社会科学经验方法的多学科项目。 该计划寻求支持一系列多学科合作研究项目将在哈佛大学社会科学基础研究中心（C-BRSS）组织。 基础研究本质上是跨学科的，意味着量化和培养社会分析中的数学技术。 提供了两个令人兴奋的发展的例子，这些发展并不为社会科学家所广泛了解，或者至少没有在他们的研究中广泛使用。 一个是通过将进化论、认知科学、实验社会科学和理性选择的学者聚集在一起来发展微观基础。 另一个结合了创新者，方法学家和大量的研究人员开发神经网络方法。这两个项目都是跨学科的合作和协作，将从项目设计，选择和管理的独特建议方案中出现。 拟议的计划建立在我们与不同领域的学者合作的重要经验。 该计划的一个特点是跨选择和规划，研究的实际执行，持续评估，后续传播和最终出版的一段时间的多学科项目的设计。 另一个问题是选择建议书和评价调查领域和项目参与者的明确过程。 这个过程是公开和公平的，使项目及其结果可以访问，负责，并提供给更广泛的学术界。 有明确的程序根据可观察到的生产力来评估项目的成功。 项目受益于参与者强大的支持性知识环境的存在。 C-BRSS为居住和虚拟协作的独特组合提供了网站和技术基础。 最后，但绝不是最不重要的是，C-BRSS可以利用与大学的独特的财务安排，以匹配支持，以促进显着的成本分担计划。