REU Site: Computational Social Science at the University of Notre Dame

该项目由SBE理事会的本科生研究经验（REU）站点计划资助。因此，它具有科学效益和社会效益，并将研究和教育结合起来。该奖项通过应用先进的计算（计算机）应用来解决与国家利益相关的问题，如人格分析（心理学）、人际网络（社会学）、家庭储蓄（经济学）和建筑地标的数字内省和存档（人类学），促进社会科学发现的进步。更广泛的影响将包括总统信息技术咨询委员会报告中确定的计算社会科学教育的关键进步，以及国家未来社会科学家的发展。该项目让代表性不足的群体参与其中，并为高中生和国际研究同行提供互动机会，这将对他们的STEM专业发展产生广泛影响。该奖项在圣母大学研究计算中心（CRC）建立了一个REU站点；这是REU学生熟悉跨学科计算社会科学研究的理想场所。该中心为从事各种社会科学问题的研究小组提供了访问机会，包括(a)个性分析的多元数据挖掘，(b)普及网络对社会关系影响的探索，(c)发展家庭储蓄的大重叠代模型，以及(d)数字人类学和考古学数据捕获、存档和分析。社会科学专业的学生学习如何使用最新的网络基础设施工具，并接受基础科学计算技能和技术的培训。该项目每年夏天有10名学生参加，每位学生在圣母大学学习10周。该项目的智力价值基于四个核心专业领域：计算心理学、计算社会学、计算经济学和社会科学的网络基础设施发展。该计划为学生和教师参与者提供了在计算科学领域开展协作性跨学科研究的机会。学生成为跨学科团队的一员，并体验科学合作的回报。对于教师来说，REU项目提供了一个探索新的研究领域和形成新的合作的机会。

This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the SBE Directorate. As such, it has both scientific and societal benefits, and it integrates research and education. This award promotes the progress of social science discoveries through the application of advanced computational (computer) applications to solve problems of national interest such as personality analysis (psychology), interpersonal networks (sociology), family savings (economics) and digital introspection and archiving of architectural landmarks (anthropology). Broader impacts will include the critical advancement of education in computational social science as identified in the Presidential Information Technology Advisory Committee report and development of the nation's future social scientists. The program's engagement of under-represented groups and the opportunities for interaction with high school students and international research peers will have a broad impact in their professional STEM development.This award establishes an REU Site at the Center for Research Computing (CRC) at the University of Notre Dame; an ideal setting for the REU student to become familiar with interdisciplinary computational social science research. The CRC provides access to research groups working across a diverse range of social science problems including (a) Multivariate Data Mining for the Analysis of Personality, (b) Explorations on the Effects of Pervasive Networking on Social Relationships, (c) Developing Large Overlapping Generations Models of Household Savings, and (d) Digital Anthropological and Archaeological Data Capture, Archive, and Analysis. The social science students learn how to use the most current cyberinfrastructure tools and receive training on fundamental scientific computing skills and techniques. The program involves 10 students every summer, and each student spends 10 weeks at the University of Notre Dame. Intellectual merit of the project is grounded in four core areas of expertise: computational psychology, computational sociology, computational economics, and cyberinfrastructure development for the social sciences. The program gives students and faculty participants a chance to carry out collaborative, interdisciplinary research in the computational sciences. Students become part of an interdisciplinary team and experience the rewards of scientific collaboration. For faculty, the REU program offers an opportunity to explore novel research areas and form new collaborations.