Data Science Innovation Lab Workshop

数据科学创新实验室研讨会

• 批准号: 1734053
• 负责人: John Van Horn
• 金额: $ 4万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1734053&HistoricalAwards=false
• 关键词: Data; Science; Innovation; Lab; Workshop

A Data Science Innovation Lab workshop, "Quantitative Approaches to Biomedical Data Science Challenges in Our Understanding of the Microbiome", will be held at the Wylie Inn and Conference Center, Boston, MA, June 19-23, 2017. (See http://www.bigdatau.org/innovationlab2017/.) The Innovation Lab will bring together early-career biomedical and quantitative investigators to engage in intensive multidisciplinary interactions, with a goal of developing new and bold approaches to address data science challenges involving the microbiome.The 2017 Innovation Lab will focus on novel approaches for analyzing high-dimensional big data derived from microbiota associated with a health or biomedical research objective. While many approaches have been applied to identify and explore interactions and potential causal relationships between the human microbiome and the health of the human host, mechanistic modeling of gut interactions largely remains an unfulfilled goal. New mathematical frameworks, analytic tools and computational models will allow for a deeper quantitative understanding of these mechanisms, leading to improved treatment of microbiome-related illness. Funds from this award will support travel for participants to attend the workshop.

数据科学创新实验室研讨会，“在我们对微生物组的理解中应对生物医学数据科学挑战的定量方法”，将于2017年6月19日至23日在马萨诸塞州波士顿的Wylie Inn和会议中心举行。 (See http://www.bigdatau.org/innovationlab2017/.) 创新实验室将汇集早期职业生物医学和定量研究人员，进行密集的多学科互动，目标是开发新的大胆方法来应对涉及微生物组的数据科学挑战。2017年创新实验室将专注于分析与健康或生物医学研究目标相关的微生物组的高维大数据的新方法。 虽然许多方法已被应用于识别和探索人类微生物组与人类宿主健康之间的相互作用和潜在因果关系，但肠道相互作用的机制建模在很大程度上仍然是一个未实现的目标。 新的数学框架，分析工具和计算模型将允许对这些机制进行更深入的定量理解，从而改善微生物群相关疾病的治疗。 该奖项的资金将用于资助与会者参加讲习班的旅费。