EAGER: A Systems Approach for Identification and Evaluation of Nanoscience and Nanomanufacturing Opportunities and Risks
EAGER:识别和评估纳米科学和纳米制造机会和风险的系统方法
基本信息
- 批准号:1442116
- 负责人:
- 金额:$ 24.79万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-06-15 至 2018-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Since the National Nanotechnology Initiative (NNI) was announced in 2000, significant progress has been made in understanding the unique physical phenomena that occur at the nano-scale and in designing and making new nano-scale materials, structures and devices. To realize the benefits of nanotechnology, research efforts have increased in the area of nanomanufacturing, which is the pathway to commercialization. Large-scale manufacturing of nano-enabled products brings opportunities and challenges. This project will conduct a systematic study of nanotechnology and nanomanufacturing and identify and evaluate opportunities for research and risks associated with production of large quantities of nanomaterials. A systems approach to collect and analyze bibliographic and patent data will be used. The project will examine new methods of gathering the information and study new models to assess it. It will identify emerging topics and sub-topics and identify the environmental, health and safety (EHS) risks during the manufacture and use of nanomaterials. The results of this study will guide the government and researchers in determining what research gaps exist and how their resources and investments could be directed to address important areas in nanotechnology. The objective of this EArly Grant for Exploratory Research (EAGER) project is to develop new analytical models and frameworks to analyze the outputs of research and innovation nanotechnology and nanomanufacturing. Nanotechnology publication and patent data records from ISI Web of Science and US Patent and Trade Office (USPTO) will be mined. The project will employ topic modeling and clustering, trend analysis, and visualization techniques to develop a monitoring system that will classify and characterize a vast array of nanotechnology topics and subtopics, track their evolution, and identify emerging areas of research. In addition, various text mining techniques will be used to extract and analyze EHS data associated with nanomanufacturing processes and large-scale nanomaterial production. Appropriate social media, books, magazines and journal articles will be the sources for this analysis. Since nanotechnology is a rapidly developing field tracking it has to be at a much faster pace than before. In the new framework, nanotechnology domain knowledge in topic modeling will be incorporated and the topics updated dynamically in shorter time intervals. This is a challenge because it requires collecting denser data in a short period of time. Also, the project is a first attempt to include wider public participation in identifying EHS risks of nanotechnology. Conventional risk evaluation approach is based on expert knowledge in certain subfields. The new approach will incorporate the perspectives and knowledge of various stakeholders, including researchers, inventors, opinion leaders, and end-users.
自 2000 年宣布国家纳米技术计划 (NNI) 以来,在理解纳米级发生的独特物理现象以及设计和制造新的纳米级材料、结构和器件方面取得了重大进展。为了实现纳米技术的优势,人们加大了纳米制造领域的研究力度,这是商业化的途径。纳米产品的大规模制造带来了机遇和挑战。该项目将对纳米技术和纳米制造进行系统研究,并确定和评估与大量纳米材料生产相关的研究机会和风险。将使用系统方法来收集和分析书目和专利数据。该项目将研究收集信息的新方法并研究评估信息的新模型。它将确定新兴主题和子主题,并确定纳米材料制造和使用过程中的环境、健康和安全(EHS)风险。这项研究的结果将指导政府和研究人员确定存在哪些研究差距以及如何将他们的资源和投资用于解决纳米技术的重要领域。该早期探索性研究资助 (EAGER) 项目的目标是开发新的分析模型和框架,以分析纳米技术和纳米制造的研究和创新成果。来自 ISI Web of Science 和美国专利贸易局 (USPTO) 的纳米技术出版物和专利数据记录将被挖掘。该项目将采用主题建模和聚类、趋势分析和可视化技术来开发一个监测系统,该系统将对大量纳米技术主题和子主题进行分类和表征,跟踪它们的演变,并确定新兴的研究领域。此外,各种文本挖掘技术将用于提取和分析与纳米制造过程和大规模纳米材料生产相关的EHS数据。适当的社交媒体、书籍、杂志和期刊文章将成为此分析的来源。由于纳米技术是一个快速发展的领域,因此它的发展速度必须比以前快得多。在新框架中,将纳入主题建模中的纳米技术领域知识,并在更短的时间间隔内动态更新主题。这是一个挑战,因为它需要在短时间内收集更密集的数据。此外,该项目也是首次尝试让公众更广泛地参与识别纳米技术的 EHS 风险。传统的风险评估方法基于某些子领域的专家知识。新方法将融合各种利益相关者的观点和知识,包括研究人员、发明家、意见领袖和最终用户。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hsinchun Chen其他文献
Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security
恐怖主义信息学:国土安全知识管理和数据挖掘
- DOI:
- 发表时间:
2008-07-02 - 期刊:
- 影响因子:0
- 作者:
Hsinchun Chen;Edna Reid;Joshua Sinai;Andrew Silke;B. Ganor - 通讯作者:
B. Ganor
Detecting Cyber Threats in Non-English Hacker Forums: An Adversarial Cross-Lingual Knowledge Transfer Approach
检测非英语黑客论坛中的网络威胁:对抗性跨语言知识转移方法
- DOI:
10.1109/spw50608.2020.00021 - 发表时间:
2020-05-01 - 期刊:
- 影响因子:0
- 作者:
Mohammadreza Ebrahimi;Sagar Samtani;Yidong Chai;Hsinchun Chen - 通讯作者:
Hsinchun Chen
Knowledge Management, Data Mining, and Text Mining in Medical Informatics
医学信息学中的知识管理、数据挖掘和文本挖掘
- DOI:
10.1007/0-387-25739-x_1 - 发表时间:
2024-09-14 - 期刊:
- 影响因子:0
- 作者:
Hsinchun Chen;S. Fuller;C. Friedman;W. Hersh - 通讯作者:
W. Hersh
HealthQA: A Chinese QA Summary System for Smart Health
HealthQA:中国智慧健康QA总结系统
- DOI:
10.1007/978-3-319-08416-9_6 - 发表时间:
2014-07-10 - 期刊:
- 影响因子:0
- 作者:
Y. Yin;Yong Zhang;Xiao Liu;Yan Zhang;Chunxiao Xing;Hsinchun Chen - 通讯作者:
Hsinchun Chen
Tracing Topic Discussions with the Event-Driven Sir Model for Online Forums
使用事件驱动的 Sir 模型跟踪在线论坛的主题讨论
- DOI:
- 发表时间:
2016-05-01 - 期刊:
- 影响因子:3.9
- 作者:
Jiyoung Woo;Sung;Hsinchun Chen - 通讯作者:
Hsinchun Chen
Hsinchun Chen的其他文献
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{{ truncateString('Hsinchun Chen', 18)}}的其他基金
CICI: UCSS: Enhancing the Usability of Vulnerability Assessment Results for Open-Source Software Technologies in Scientific Cyberinfrastructure: A Deep Learning Perspective
CICI:UCSS:增强科学网络基础设施中开源软件技术漏洞评估结果的可用性:深度学习视角
- 批准号:
2319325 - 财政年份:2023
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
EAGER: SaTC-EDU: Artificial Intelligence and Cybersecurity Research and Education at Scale
EAGER:SaTC-EDU:大规模人工智能和网络安全研究与教育
- 批准号:
2038483 - 财政年份:2020
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Cybersecurity Big Data Research for Hacker Communities: A Topic and Language Modeling Approach
SaTC:核心:小型:黑客社区的网络安全大数据研究:主题和语言建模方法
- 批准号:
1936370 - 财政年份:2019
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
CICI: SSC: Proactive Cyber Threat Intelligence and Comprehensive Network Monitoring for Scientific Cyberinfrastructure: The AZSecure Framework
CICI:SSC:科学网络基础设施的主动网络威胁情报和综合网络监控:AZSecure 框架
- 批准号:
1917117 - 财政年份:2019
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
Cybersecurity Scholarship-for-Service Renewal at The University of Arizona:The AZSecure SFS Program
亚利桑那大学网络安全服务更新奖学金:AZSecure SFS 计划
- 批准号:
1921485 - 财政年份:2019
- 资助金额:
$ 24.79万 - 项目类别:
Continuing Grant
EAGER: A Longitudinal Study of Knowledge Diffusion and Societal Impact of Nanomanufacturing Research & Development: Harnessing Data for Science and Engineering
EAGER:纳米制造研究的知识传播和社会影响的纵向研究
- 批准号:
1832926 - 财政年份:2018
- 资助金额:
$ 24.79万 - 项目类别:
Continuing Grant
EAGER: A Longitudinal Study of Knowledge Diffusion and Societal Impact of Nanomanufacturing Research & Development: Harnessing Data for Science and Engineering
EAGER:纳米制造研究的知识传播和社会影响的纵向研究
- 批准号:
1832926 - 财政年份:2018
- 资助金额:
$ 24.79万 - 项目类别:
Continuing Grant
Cybersecurity Big Data and Analytics Sharing Platform
网络安全大数据和分析共享平台
- 批准号:
1719477 - 财政年份:2017
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
CIF21 DIBBs: DIBBs for Intelligence and Security Informatics Research Community
CIF21 DIBB:用于情报和安全信息学研究社区的 DIBB
- 批准号:
1443019 - 财政年份:2014
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
SBE TTP: Medium: Securing Cyber Space: Understanding the Cyber Attackers and Attacks via Social Media Analytics
SBE TTP:媒介:保护网络空间:通过社交媒体分析了解网络攻击者和攻击
- 批准号:
1314631 - 财政年份:2013
- 资助金额:
$ 24.79万 - 项目类别:
Standard Grant
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