Making the Most of Big Data: Current and Future High-Impact Collaborations

“大数据”的出现为我们提供了一些最大的挑战和机遇。这些挑战包括捕获、存储、共享、搜索、可视化、分析、理解和处理大量复杂和异构的数据，这些数据的收集速度超过了我们当前处理此类数据的能力。这些机会来自于从大数据中提取有用知识的潜力，以便做出更明智的决策，帮助加速发现和创新，并支持其转化为实践以造福社会。为了应对“大数据”带来的挑战和机遇，美国政府于2012年3月启动了国家大数据研究与发展计划。但是，充分利用大数据需要所有利益相关者的共同努力：政府、行业、大学和非营利组织。“充分利用大数据：当前和未来的高影响力合作”研讨会旨在研究高影响力合作，并确定公共和私营部门之间可能的合作领域，特别强调以下项目和举措：推进支持大数据和数据分析的技术;教育和扩大大数据劳动力;开发、演示和评估大数据应用程序，以改善经济增长、就业创造、教育、健康、能源、可持续性、公共安全、先进制造、科学和工程以及全球发展方面的关键成果;展示奖项和挑战在从大数据中获得新见解方面的作用;并促进区域创新。研讨会邀请了来自学术界、政府和工业界的主要大数据利益相关者：许多支持重大大数据项目的联邦机构的代表，从事大数据研究的领先学者，来自行业的领先大数据创新者，以及来自州和地方政府、非营利组织、基金会和其他从事大数据研究、应用、劳动力发展和技术转让活动的组织的参与者。讨论现有的高影响力合作，就大数据主题、隐私和道德问题发表主题演讲，举行全体小组讨论会，并在分组会议上讨论关键的大数据问题（如劳动力发展、大数据研究与发展、公众关注的问题和大数据创新），预计将有助于更好地了解大数据工作的现状，以及确定解决仍然存在的挑战的最佳方法，并利用私营和公共部门的综合资源，更充分地实现大数据的潜力。该项目的预期更广泛的影响包括对当前高影响力合作的认可和赞赏;多个大数据利益相关者之间的合作增加，导致捕获，存储，共享，搜索，可视化，分析，理解和处理巨大，多样化，复杂和分布式数据集的核心大数据技术的变革性进步;促进科学、工程和教育领域的创新，以推进经济增长、教育、卫生、清洁能源和安全方面的国家目标和优先事项。

The emergence of "Big Data" provides us with some of the biggest challenges and opportunities. The challenges include the capture, storage, sharing, search, visualization, analysis, understanding, and processing of massive amounts of data that are complex and heterogeneous and are being gathered at rates that exceed our current capacity for handling such data. The opportunities stem from the potential for extracting useful knowledge from Big Data for more informed decisions, helping accelerate discovery and innovation, and supporting their transition into practice to benefit society. To address the challenges and opportunities of "Big Data", the U.S government has launched, in March 2012, the National Big Data Research and Development Initiative. But making the most of Big Data requires a joint effort from all the stakeholders: the government, industry, universities, and non-profits.The workshop "Making the Most of Big Data: Current and Future High-impact Collaborations" aims to examine high-impact collaborations and identify additional areas for possible collaboration between the public and private sectors, with a special emphasis on projects and initiatives that: advance technologies that support Big Data and data analytics; educate and expand the Big Data workforce; develop, demonstrate and evaluate applications of Big Data that improve key outcomes in economic growth, job creation, education, health, energy, sustainability, public safety, advanced manufacturing, science and engineering, and global development; demonstrate the role that prizes and challenges can play in deriving new insights from Big Data; and foster regional innovation.The workshop engages the key Big Data stakeholders from academia, government, and industry: representatives of the many federalagencies that support significant Big Data projects, leading academics engaged in Big Data research, leading Big Data innovators from industry, as well as participants from the state and local governments, non-profits, foundations and other organizations engaged in Big Data research, applications, workforce development, and technology transfer activities. Discussion of existing high-impact collaborations, keynote addresses on Big Data topics, privacy and ethical issues, a plenary panel and in breakout sessions covering critical Big Data issues (such as Workforce Development, Big Data Research and Development, Issues of Public Concern, and Big Data Innovation) is expected to lead to a better understanding of the current status of the Big Data efforts, and the identification of the best ways to address the challenges that remain and leverage the combined resources of private and public sectors to more fully realize the potential of Big Data. Anticipated broader impacts of the project include recognition and appreciation of current high-impact collaborations; increased collaborations among the multiple Big Data stakeholders leading to transformative advances in the core Big Data technologies of capturing, storing, sharing, searching, visualizing, analyzing, understanding, and processing of huge, diverse, complex, and distributed data sets; and fostering of innovation in science, engineering, and education necessary for advancing national goals and priorities in economic growth, education, health, clean energy, and security.