NSF Convergence Accelerator Track H: Developing Experiential Accessible Framework for Partnerships and Opportunities in Data Science (for the deaf community)

该项目将创建大学到行业的研究伙伴关系，数据科学课程，以及专门面向聋人学习者的项目，以增强聋人数据科学家的工作能力。聋人豆荚将与工业界和学术界的合作伙伴合作，制定战略举措，克服聋人在工作场所面临的障碍和偏见。为数据科学中的伙伴关系和机会开发体验式可访问性框架(为聋人社区)[“聋人豆荚”]将使75名聋人和重听学生能够在导师的帮助下以团队形式开展数据驱动的项目。这些跨学科伙伴关系将跨越几个应用领域。这些研究津贴将适用于美国任何一所大学的聋人本科生。数据科学培训的材料将用于融合加速器计划中的许多受使用启发的研究项目。聋人豆荚还将在全国范围内为数据科学领域的聋人学生(来自任何一所大学)提供可获得的研究经验。聋人豆荚模型的设计是为了在其他大学复制。聋人豆荚将加强和支持那些大学不能(或不会)为孤立的聋人学习者投入足够资金的学生的体验。一个关键的目标是使教师、学生和公司保持一致，在受使用启发的研究上密切合作。该项目将在全年培养一种受欢迎的研究文化。一个关键的预期成果是为聋人大学生进入研究生院和/或在行业中从事数据科学职业提供更广泛的途径。该项目将使用响应文化的教学战略，向聋人人口教授数据科学内容。聋人导师和学生将用美国手语有机开发快速发展的数据科学语言，并在网上自由分享这些数据科学内容。由于ASL的表达在很大程度上受到受试者语境的影响，因此必须与聋人企业主和聋人科学家直接合作，他们是领域专家。成功的一个关键战略是重视聋哑人的指导：聋人员工和流利的手语者指导聋人学生。虽然聋人员工与学生分享领域专业知识，但导师也将从他们职业生涯中期学习新的数据科学技能中受益。行业文化和路径是计划中的项目的关键方面。调查人员将与致力于培养友好环境的企业合作伙伴合作，营造一种聋人数据科学家可以蓬勃发展的文化。聋人豆荚和更大的STEM社区有一个及时的机会，通过为聋人和重听学生和导师提供受使用启发的研究体验，在数据密集型行业创造职业道路。聋人豆荚将在项目(而不是讲座)中使用具有主动学习功能的翻转教室，作为学生学习环境的关键部分。该项目的一个预期成果是整合了美国手语和英语的字幕、文字记录和双语视频，以及前期加载的新词汇、身临其境的例子和小插曲。加拉德特也刚刚开始了一个新的数据科学项目。该项目将在第一阶段启动在加拉德特建立企业合作伙伴计划的工作。普渡大学将帮助加拉德特聋人学生整合为期9个月的企业合作伙伴经验，提供工作数据科学经验和专业发展。RIT/NTID还在建立新的数据科学项目；调查团队将在第一阶段与RIT密切合作，并计划在第二阶段扩大和加强这些活动。聋人豆荚有一个全面的招募和支持性指导计划，供学生远程参与所有活动。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will create university-to-industry use-inspired research partnerships, curriculum in Data Science, and projects geared specifically for deaf learners, to empower deaf data scientists in the workforce. DEAF PODS will collaborate with partners in industry and academia to create strategic initiatives to overcome barriers and biases that deaf individuals face in the workplace. Developing Experiential Accessible Framework for Partnerships and Opportunities in Data Science (for the deaf community) ["DEAF PODS"] will enable 75 deaf and hard of hearing students to work in teams on data-driven projects with mentors. These interdisciplinary partnerships will span several applied domains. These research stipends will be available for deaf undergraduate students from any college in the USA. The materials for data science training will be available to be used in the many use-inspired research projects in the Convergence Accelerator program. DEAF PODS will also provide nationwide coordination of accessible research experiences for deaf students (from any university) in the data sciences. The DEAF PODS model is designed to be reproducible at other universities. DEAF PODS will strengthen and support the experience of students whose universities cannot (or will not) invest sufficient funds for isolated deaf learners. A key goal is to align faculty, students, and companies, to work closely on use-inspired research. This project will foster a welcoming research culture throughout the year. A key expected outcome is a broader pathway for deaf college students to graduate school and/or to data science careers in industry.The project will use culturally responsive pedagogical strategies to teach data science content to deaf populations. Deaf mentors and students will organically develop the fast-developing language of data sciences in American Sign Language and will freely share this data science content online. Because ASL expression is heavily influenced by the subject's context, it is imperative to work directly with deaf business owners and deaf scientists who are domain experts. A key strategy for success is the emphasis on deaf-deaf mentoring: deaf employees and fluent signers mentoring deaf students. While deaf employees share domain expertise with student learners, the mentors will also benefit by picking up new data science skills during their mid-career. Industry culture and pathways are key aspects of the planned project. The investigators will partner with dedicated corporate partners who have committed to cultivating a welcoming environment, with a culture where deaf data scientists can thrive. DEAF PODS and the greater STEM community have a timely opportunity to create career pathways in data-intensive industries, by offering use-inspired research experiences for deaf and hard of hearing students and mentors. DEAF PODS will use flipped classrooms with active learning, in projects (not lectures) as a crucial piece of the student learning environment. One expected outcome of the project is the integration of captioning, transcripts, and bilingual videos, in both ASL and English, as well as front-loading new vocabulary, immersive examples, and vignettes. Gallaudet has also just begun a new Data Science program. The project will start the work toward building a Corporate Partners program at Gallaudet during Phase 1. Purdue will help to integrate 9-month academic year Corporate Partners experiences for deaf students at Gallaudet, providing working data science experience and professional development. RIT/NTID is also building new data science programs; the team of investigators will work closely with RIT during Phase 1, with plans to expand and build on these activities in Phase 2. DEAF PODS has a comprehensive recruiting and supportive mentoring plan for students to participate remotely in all activities.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.