Conference: Text As Data Conference 2022

自然语言处理（NLP）与社会科学之间的联系越来越需要。NLP的最新进展有可能彻底改变我们研究人类社会的方式，而NLP研究需要社会科学的投入，以有效、可靠和公平地利用新的发展。但是，由于优先级、词汇和沟通方式的差异，很难将这两个领域结合起来。跨越这些界限见面和工作的机会很少，对博士生来说更少。“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TADA 2022举办一个博士联盟，将启动一项新的外展工作，以扩大会议的参与。通过参加这个博士联盟，计算机和信息科学专业的学生受益于社会科学家提供的实际应用和理论观点，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。该奖项支持的博士联盟将汇集计算机和信息科学领域的博士生以及社会科学各个领域的博士生。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。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。导师是从参加过以前TADA会议的更资深的研究人员中挑选出来的。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，他们可以流利地进行跨学科交流。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。

There is an increasing need for connections between natural language processing (NLP) and social science. Recent advances in NLP have the potential to revolutionize how we study human society, and NLP research needs input from social science to use new developments effectively, reliably, and equitably. But bringing together these two fields is hard due to differences in priorities, vocabulary, and communication styles. Opportunities to meet and work across these boundaries are rare, and even rarer for PhD students. 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 2022 initiates a new outreach effort to broaden participation at the meeting. By attending this doctoral consortium, computer and information science students benefit from the practical applications and theoretical perspectives offered by social scientists, and social science students benefit by learning about new computational methods to support their research involving text data. The doctoral consortium that this award supports will bring together doctoral students working in computer and information science and those working in various areas of social science. 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. 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 selected from more senior researchers who have attended previous TADA meetings. 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 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.