RI/SES: Conference Proposal: Doctoral Consortium on Text as Data

RI/SES：会议提案：文本即数据博士联盟

• 批准号: 1830158
• 负责人: Noah Smith
• 金额: $ 2.5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1830158&HistoricalAwards=false
• 关键词: RI; SES; Conference; Proposal; Doctoral

Computational methods from natural language processing enable new social science research that uses text as data; social science, in turn, offers insights that guide new applications of computation. However, opportunities for conversation and building collaboration among researchers in the computational and social sciences, especially students, are relatlively rare. The doctoral consortium that this award supports will bring together doctoral students working in computer science and those working in various areas of social science. Moreover, participating doctoral students are paired with faculty mentors in the complementary discipline, thus providing for each student a novel perspective that is likely to be both challenging and inspirational.The New Directions in Analyzing Text as Data (TADA) meeting has developed into a leading forum that brings these communities together, attracting top researchers from both sides. Holding a doctoral consortium at TADA 2018 initiates a new outreach effort to broaden participation at the meeting. By attending this doctoral consortium, computer science students benefit from the theoretical perspectives offered by social scientists, and social science students benefit by learning about new computational methods to support their research involving text data. Funding is used primarily to support students to attend and fully participate in the meeting, where they are given an opportunity to present their current work and receive individual mentoring. Mentors are recruited from the ranks of TADA veteran attendees. These mentorship pairings are expected to significantly impact the direction of ongoing doctoral research, bringing natural language processing and social science closer together and creating a community with diverse young leaders who can fluently communicate across the disciplines.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.

自然语言处理的计算方法使新的社会科学研究使用文本作为数据；反过来，社会科学提供了指导新计算应用的见解。 但是，在计算和社会科学（尤其是学生）中，研究人员之间的对话和建立合作的机会相对罕见。 该奖项支持的博士联盟将使从事计算机科学工作的博士生以及在社会科学领域工作的学生。 此外，参与的博士生与互补学科的教师导师配对，从而为每个学生提供了一个新颖的观点，这可能既具有挑战性又鼓舞人心。分析文本作为数据（TADA）会议的新方向已发展为领先的论坛，将这些社区融合在一起，吸引了双方的顶级研究人员。 在TADA 2018举行的博士联盟启动了一项新的外展工作，以扩大参加会议的参与。 通过参加该博士联盟，计算机科学专业的学生从社会科学家提供的理论观点中受益，而社会科学专业的学生通过学习新的计算方法来支持他们的研究涉及文本数据，从而受益。 资金主要用于支持学生参加并充分参加会议，在那里他们有机会展示他们当前的工作并接受个人指导。 导师是从TADA退伍军人参加者队伍中招募的。 预计这些指导配对将显着影响持续的博士研究的方向，使自然语言处理和社会科学更加紧密地结合在一起，并建立一个具有多样化的年轻领导者的社区，他们可以在该学科上流利地进行沟通。这项奖项反映了NSF的法定任务，并通过基金会的知识分子优点和广泛的影响来评估NSF的法定任务，并被认为是值得的。