In the following paper, we describe results from mining citations, mentions, and links to open government data (OGD) in peer-reviewed literature. We inductively develop a method for categorizing how OGD are used by different research communities, and provide descriptive statistics about the publication years, publication outlets, and OGD sources. Our results demonstrate that, 1. The use of OGD in research is steadily increasing from 2009 to 2016; 2. Researchers use OGD from 96 different open government data portals, with data.gov.uk and data.gov being the most frequent sources; and, 3.Contrary to previous findings, we provide evidence suggesting that OGD from developing nations, notably India and Kenya, are being frequently used to fuel scientific discoveries. The findings of this paper contribute to ongoing research agendas aimed at tracking the impact of open government data initiatives, and provides an initial description of how open government data are valuable to diverse scientific research communities.
Data mining and analysis of scientific research data records on Covid 19 mortality, immunity, and vaccine development in the first wave of the Covid 19 pandemic
在这项研究中，我们调查了大流行早期阶段的科学研究反应，并回顾了在以前的流行病中开发的早期预警系统如何应对遏制病毒的关键发现。数据记录用可交换的统计方法进行分析，包括R Studio、Bibliomearchpackage和Web of Science数据采掘工具。我们确定了几个不同的集群，包含运动，炎症，吸烟，肥胖和许多其他因素的参考。从对新冠肺炎和疫苗的分析中，我们发现，尽管美国在新冠肺炎疫苗的科学研究方面处于领先地位，但领先的3家研究机构（复旦、墨尔本、牛津）并不在美国。因此，很难预测哪个国家会率先生产新型冠状病毒疫苗。
Quality Control and Validation Boundaries in a Triple Helix of University-Industry-Government: 'Mode 2' and the Future of University Research
在科学知识生产的新“模式2”中，质量控制是如何组织的？在大学-产业-政府关系的三重障碍中，当机构边界日益模糊时，可以预期科学知识生产的质量控制标准将在界面处发生变化。Gibbons等人（1994年）采用了两种知识生产模式的分类，以描述科学传播网络的变化（供资模式、研究结构、知识管理风格等）。这些变化主要被指定为制度参数，以处理研究与发展管理和科学与技术政策的主题，即事前（Spiegel-Ring 1973 Van den Daele et al. 1979）。我们专注于从模式1和模式2之间的差异出现的“验证边界”，也就是说，在质量控制的标准，可以分析和反射性地被带到前面事后。从一个机构的参考框架，以重点放在通信的动态的转变，使我们能够澄清几个问题，在讨论大学研究的未来。
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining
SLAC National Laboratory（SLAC国家实验室）；Stanford University（斯坦福大学）
