1/2 The University of Massachusetts, Boston - Dana-Farber/Harvard Cancer Center U54 Comprehensive Partnership for Cancer Disparities Research

母公司马萨诸塞大学波士顿分校和达纳-法伯/哈佛大学的目标 癌症中心(DF/肝细胞癌)U54 CA156734合作伙伴将“开展合作活动和研究， 将通过创新的方式弥合癌症差异科学、研究教育和推广方面的分歧 研究、培训和实践。该nosi将通过以下方式将这些活动扩展到数据科学领域 将接受计算研究新范式的需要与同样迫切的需求结合起来 使计算基因组数据科学(CGDS)研究队伍多样化并扩大其规模。这将是 通过实现三个具体目标来追求，该目标设计为三个部分的教育和 社区发展计划：1)为以下项目的本科生建立CGDS沉浸式研讨会 不同的背景；2)开发CGDS的补充课程，以及3)目标3：建立数据科学 社区通过有指导的研究和一个包容性的“数据俱乐部”。这个项目的科学目标是 资源生物数据跨学科教育和培训的发展和实施 能够将数据转化为生物学见解的科学，以解决癌症和癌症问题 差距。该项目的社区目标是提供许多培训、教育和 社区建设，包括专门旨在扩大社区参与的经验 在以基因组学为重点的生物学和数据科学中，少数群体的代表性不足。实现这些目标 目标将建立一个可持续的计划，将不同的学生培养成具有广泛知识的“多语种”科学家 在数据和生物科学方面的一系列技能和知识，能够有效地交流和 跨学科交流思想，促进关注癌症和癌症差异的基因组科学 研究。

The goal of the parent University of Massachusetts Boston (UMass Boston) and Dana-Farber/Harvard Cancer Center (DF/HCC) U54 CA156734 Partnership is to “pursue Partnership activities and research that will bridge the divides in cancer disparities science, research education, and outreach through innovative research, training, and practice.” This NOSI will extend these activities into the data science space by coupling the need to embrace new paradigms for computational research to equally urgent requirements to diversify and grow the computational genomics data sciences (CGDS) research workforce. This will be pursued through the accomplishment of 3 Specific Aims designed as a three-part educational and community development program: 1) Build a CGDS immersion workshop for undergraduate students of diverse backgrounds; 2) Develop complementary courses in CGDS, and 3) Aim 3: Build a data science community through mentored research and an inclusive “data club.” The scientific goal of this project is to resource the development and implementation of interdisciplinary education and training in biological data sciences that will enable the translation of data into biological insights to address cancer and cancer disparities. The community goal of this project is to offer many opportunities for training, education, and community building, including experiences specifically aimed at expanding participation of underrepresented minorities in genomics-focused biology and data science. The accomplishment of these goals will build a sustainable program to train diverse students as “multilingual” scientists with a broad range of skills and knowledge in both data and biological sciences that can effectively communicate and exchange ideas across disciplines to advance cancer- and cancer disparities-focused genomic sciences research.