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

来自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；反过来，社会科学提供了指导计算新应用的见解。然而，在计算科学和社会科学的研究人员之间，特别是学生之间进行对话和建立合作的机会相对较少。该奖项支持的博士联盟将汇集从事计算机科学和社会科学各个领域工作的博士生。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具有挑战性又具有启发性的新视角。“文本即数据分析新方向”（TADA）会议已经发展成为一个汇集这些社区的领先论坛，吸引了双方的顶尖研究人员。在2018年TADA会议上举办博士联营会开启了一项新的外展工作，以扩大会议的参与度。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受益于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参加并充分参与会议，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资深与会者中招募的。这些导师配对预计将对正在进行的博士研究的方向产生重大影响，将自然语言处理和社会科学更紧密地联系在一起，并创建一个由不同的年轻领导者组成的社区，他们可以流利地跨学科交流。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.