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使用文本作为数据的新社会科学研究成为可能;社会科学反过来又提供了指导计算新应用的见解。 然而，在计算和社会科学研究人员，特别是学生之间进行对话和建立合作的机会相对较少。 该奖项支持的博士生联盟将汇集计算机科学领域的博士生和社会科学各个领域的博士生。 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一个既有挑战性又有启发性的新视角。TADA会议已经发展成为一个将这些社区聚集在一起的领先论坛，吸引了来自双方的顶尖研究人员。 在TADA 2018举办博士联盟启动了一项新的外联工作，以扩大会议的参与。 通过参加这个博士联盟，计算机科学专业的学生受益于社会科学家提供的理论观点，社会科学专业的学生通过学习新的计算方法来支持他们涉及文本数据的研究。 资金主要用于支持学生出席并充分参与会议，在那里他们有机会介绍他们目前的工作，并接受个人辅导。 导师是从TADA资深与会者中招募的。 这些导师配对有望对正在进行的博士研究方向产生重大影响，使自然语言处理和社会科学更紧密地结合在一起，并创建一个由能够跨学科流畅沟通的多元化年轻领导者组成的社区。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响力审查标准进行评估，被认为值得支持。