REU Site: Broadening Access to Text Analytics for Social Scientists

REU 网站：扩大社会科学家对文本分析的访问范围

• 批准号: 2150283
• 负责人: Jeffery Hemsley
• 金额: $ 43.78万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2150283&HistoricalAwards=false
• 关键词: REU; Site; Broadening; Access; Text; REU; Site; Broadening; Access; Text

This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the Directorate for Social, Behavioral and Economic Sciences. It has both scientific and societal benefits, and integrates research and education. This summer residential experience provides mentorship, research methods training, and data sets for groups of undergraduates from diverse academic and social backgrounds and from a range of U.S colleges and universities. The site educates students on computerized methods for analyzing large data sets of text obtained from the internet and other sources. The site provides opportunities for students to test their new skills on active research projects. The site activities occur at Syracuse University's School of Information Studies which has excelled for more than 25 years at providing education for students interested in technology and its impacts on industry, education, and other sectors. Learning activities for the students in this REU site include research methods workshops, data ethics seminars, training on several software applications, and professional development opportunities. Students ask and answer impactful research questions using data sets provided by their faculty mentors. Students present their own research results in the final week. Every student is encouraged to submit their research to an appropriate research conference after completion of the experience. Students from prior summers continue their involvement through participation in a supportive online community to obtain peer and mentor support.Students achieve their learning goals in this REU site by affiliating themselves with active research projects being conducted by Syracuse University faculty members and their doctoral mentees. School of Information Studies faculty members conduct research on human language technologies, computational social science, social media, disinformation, human-centered computing, and a variety of related topics. These research projects typically offer voluminous data sets that REU students can explore as they develop their technical skills with programming languages, data mining methods, statistics, linguistics, and deep learning. A key goal of the REU site lies in encouraging students to sustain their research interests in the context of their subsequent educational activities upon return to their home institutions. The project contributes to the development of a capable STEM workforce for the U.S., insofar as the ability to analyze natural language text with computers has become a mission-critical skill in many sectors. Some students may also progress to research careers where they develop insights into internet-related social phenomena that impact many people’s lives. Upon return to their home institutions, students can demonstrate the new methods and tools they have learned and inspire others to try them. This site is supported by the Department of Defense ASSURE Program in partnership with the NSF REU Program.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目是从社会，行为和经济科学局的本科生（REU）站点计划的研究经验中资助的。它具有科学和社会利益，并整合了研究和教育。今年夏季居民的经验为来自潜水员学术和社会背景的本科生以及来自一系列美国大学的本科生提供了精神训练，研究方法培训和数据集。现场教育学生采用计算机化方法，用于分析从互联网和其他来源获得的大量文本数据集。该网站为学生提供了在主动研究项目上测试新技能的机会。现场活动发生在锡拉丘兹大学的信息研究学院，该学院在为对技术感兴趣的学生及其对行业，教育和其他部门的影响提供教育方面已经超过25年了。此REU网站中学生的学习活动包括研究方法研讨会，数据伦理学半手，几个软件应用程序培训以及专业发展机会。学生使用教师导师提供的数据集询问并回答有影响力的研究问题。学生在最后一周提出自己的研究结果。完成经验后，鼓励每个学生将其研究提交适当的研究会议。前夏天的学生通过参与受支持的在线社区获得同伴和导师的支持，继续参与他们的参与。学生通过将自己与锡拉丘兹大学教职员工及其博士学位的积极研究项目相关，以实现在REU站点的学习目标。信息研究学院教职员工对人类语言技术，计算社会科学，社交媒体，虚假信息，以人为本的计算以及各种相关主题进行研究。这些研究项目通常提供大量的数据集，REU学生可以通过编程语言，数据挖掘方法，统计，语言学和深度学习来发展自己的技术技能。 REU网站的一个主要目标是鼓励学生在返回家庭机构后随后的教育活动中维持其研究兴趣。就该项目提供了有能力的STEM劳动力为美国的发展，就可以通过计算机分析自然语言文本的能力已成为许多部门的关键任务技能。一些学生也可能会发展到研究职业，在那里他们对影响许多人生活的与互联网相关的社会现象产生了见解。返回家园后，学生可以演示他们学到的新方法和工具，并启发了其他人尝试。该网站得到与NSF REU计划合作的国防部Assure计划的支持。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为通过评估被认为是宝贵的支持。