Big Data PI Workshop

本次研讨会将首次将NSF大数据项目的所有pi聚集在华盛顿特区/北弗吉尼亚地区。NSF大数据项目的目标是“开发从数据中获取知识的新方法；建设新的基础设施，管理、管理和服务社区数据；并为相关教育和培训制定新的方法。”考虑到可能的活动范围，有必要也有机会将资助项目PI引入大数据研究计划资助的广泛工作和新的潜在研究合作伙伴。本次研讨会是受邀请的，并向目前由NSF BIGDATA项目资助的研究人员开放。这个为期两天的研讨会的目标是将项目负责人/联合项目负责人与政府和行业邀请者聚集在一起，讨论当前的研究，以及确定和阐述新的、正在出现的挑战和未来的方向。本次研讨会将汇集由美国国家科学基金会资助的大数据社区不同学科的专家。会议将确定与大数据研究相关的差距、需求、资源和障碍，并制定前瞻性研究议程，以确定该领域的未来方向。研讨会将为现有的项目负责人提供展示和讨论他们当前工作的机会；建立新的合作关系；发展现有研究和基础设施资源的知识；并深入了解新的研究领域。这次会议更广泛的影响将是能够更广泛地分享大数据在社会基础和应用方面的研究成果。

This workshop will bring together, for the first time, all of the PIs of the NSF BIGDATA program, at a venue in the Washington DC/Northern Virginia area. The goals of the NSF BIGDATA program are to "develop new methods for deriving knowledge from data; construct new infrastructure to manage, curate and serve data to communities; and forge new approaches for associated education and training." Given the range of possible activities, there is a need and opportunity to introduce the funded project PI's to the breadth of work funded under the Big Data Research Initiative and to new potential research partners. The workshop is by invitation, and open to researchers who are currently funded through the NSF BIGDATA program. The goal of this two-day workshop is to bring together PIs/co-PIs with government and industry invitees to discuss current research, as well as identify and elaborate on new, emerging challenges, and future directions.This workshop will bring together experts in different disciplines comprising the Big Data community, funded by NSF. The meeting will identify gaps, needs, resources, and barriers related to Big Data research, and also develop a forward-looking research agenda that will identify future directions in this area. The workshop will provide current PIs with opportunities to showcase and discuss their current work; establish new collaborations; develop knowledge of available research and infrastructure resources; and gain insight into new areas of research. The broader impact of this meeting will be the ability to more broadly share research results in the foundational as well as application aspects of big data in society.