Innovation Lab on Interdisciplinary Approaches to Biomedical Data Science

生物医学数据科学跨学科方法创新实验室

• 批准号: 1640946
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-06-01 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1640946&HistoricalAwards=false
• 关键词: Innovation; Lab; Interdisciplinary; Approaches; Biomedical

A Data Science Innovation Lab workshop focused on Interdisciplinary Approaches to Biomedical Data Science will be held at the UCLA Lake Arrowhead Conference Center, June 15-19, 2016. (See http://www.bigdatau.org/innovationlab/.) This workshop will help generate research ideas and build teams of researchers to explore the challenges associated with big data generated by mobile sensors. The development of these teams has the potential to transform the use of mobile devices in the biomedical sciences using science driven knowledge. The 2016 Innovation Lab on Interdisciplinary Approaches to Biomedical Data Science will bring together researchers in quantitative and biomedical sciences with a goal of developing new research teams to work on problems in biomedical data science. The teams that are developed will pursue research in the use of mobile devices to collect health data, to deliver health care data to patients and practitioners, and to assist in the monitoring of health care patients. 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将于2016年6月15日至19日在UCLA Lake Arrowhead会议中心举行，重点关注生物医学数据科学的跨学科方法。(See http://www.bigdatau.org/innovationlab/.)该研讨会将有助于产生研究思路，并建立研究人员团队，以探索与移动的传感器产生的大数据相关的挑战。 这些团队的发展有可能利用科学驱动的知识改变生物医学科学中移动的设备的使用。2016年生物医学数据科学跨学科方法创新实验室将汇集定量和生物医学科学的研究人员，目标是开发新的研究团队来解决生物医学数据科学中的问题。开发的团队将继续研究使用移动的设备收集健康数据，向患者和从业人员提供医疗保健数据，并协助监测医疗保健患者。该奖项的资金将用于资助与会者参加讲习班的旅费。