2017年度国家自然科学基金计算机学科项目资助情况分析

文中统计了2017年国家自然科学基金计算机学科面上项目、青年项目、地区项目、重点项目、海外港澳项目、优秀青年项目的资助情况,分析总结了计算机学科资助重点项目的研究特点,为该领域研究人员的自然科学基金项目申请提供了参考。     

自动化领域科学基金十年情况分析

以《2003年～2012年年度国家自然科学基金资助项目统计》及国家自然科学基金委员会信息 中心提供的数据为依据, 详细分析了近十年间信息科学部自动化领域科学基金项目的申请与资助情况, 平均 资助强度与资助率的变化情况, 以及项目负责人的年龄层次和依托单位隶属关系的分布情况, 并在此基础上 给出了几点建议, 供有关人员参考.     

1991—2001年国家自然科学基金GIS类项目的初步分析

地理信息系统（GIS）在我国国家信息化、国家安全、经济建设、科学研究等方面发挥着越来越重要的作用。在推导我国GIS基础和应用基础研究方面，国家自然科学基金（NSFC）发挥了重要作用。对NSFC地球科学部地理学科资助的GIS类项目为例，从获资助项目数量、学术论文发表和人才培养3个方面，对1991-2001年NSFC资助的GIS类项目进行了初步分析，并与同期美国自然科学基金资助GIS类项目情况进行了初步对比分析。为了加强我国GIS基础和应用基础研究，提出逐步增大对GIS的资助项数，支持跨单位、跨学科的优秀研究群体，在NSFC项目指南中增加GIS专门条款等建议。     

NSFC计算机图像与视频处理领域项目关键词分析

关键词能够反映出一份项目申请书的主要研究内容.统计了国家自然科学基金计算机图像与视频处理领域2014年~2018年申请与资助项目关键词,并分别从关键词标引量、关键词词频等方面进行分析,探讨其与资助率的关系.最后,运用定量的方法,透过热频关键词的内容变化,分析近5年来的计算机图像与视频处理领域的研究热点变化.     

上海海事大学今年获得3项国家自然科学基金资助项目

国家自然科学基金委员会下达项目批准通知，上海海事大学2005年度共获得3项国家自然科学基金资助项目，其中2项为面上自由申请项目，1项为青年科学基金项目。     

从F03项目资助情况分析我国自动化学科的发展现状与趋势

国家自然科学基金是国家支持自动化学科基础研究的主要渠道之一.本文以2014-2018年国家自然科学基金资助项目统计数据为依据,详细分析了五年间信息科学部F03自动化学科在面上项目、青年科学基金项目、地区科学基金项目、重点项目和海外及港澳学者合作研究项目所获资助情况.参考科学基金的资助项目数量、金额及研究内容等方面,及中国学者在自动化领域的研究成果分析了我国自动化学科的研究现状.根据2014-2018年各国学者对自动化学科的研究成果贡献量和关键词热度,将我国自动化学科研究水平与国际先进水平进行了比较,并进一步分析了自动化领域的发展趋势与展望.     

国家自然科学基金加强对生物医学领域的资助

糖尿病是严重危害人民健康的重大痴病之一，其发病率为70%-10％，全球约有数亿人患此疾病。目前，我国有多家研究单位，在国家各级基金的资助下，从事与该病病起源、检测等相关的研究与探讨，国家自然科学基金就是其中的一支重要力量，下面介绍几个目前正在进行或已经完成的项目研究情况。     

1997年度国家自然科学基金项目指南：遥感部分

１９９７年度国家自然科学基金项目指南：遥感部分遥感作为一门学科和技术已越来越深刻地影响着地球科学各研究领域，１９９７年度国家自然科学基金项目指南地球科学部分正式列入“遥感学”，与地球科学其他学科一样单列予以资助。同时由于遥感又作为一种高技术手段广泛地...     

国家自然科学基金自动化领域数据分析与研究热点变化

本文对国家自然科学基金1986~2017年自动化领域项目申请和资助数据进行了大量数据分析,统计和分析结果表明自动化领域自然科学基金成为研究者重要的研究资金来源,研究人员规模、研究成果数量、基金资助数据都在稳步提升,研究队伍正呈现年轻化趋势.通过数据挖掘30年来不同研究热点及其变化,笔者发现自动化领域基金资助的相关研究领域能紧跟国际国内研究前沿,热点领域中理论研究比重大于应用研究,近年来具有应用研究背景的项目资助比重逐年提高.本文可为广大自动化领域相关的研究者提供选题等方面的借鉴和参考.     

国家自然科学基金委员会信息科学部计算机科学处2004年度重点项目评审与资助状况分析

重点项目是国家自然科学基金资助的一种项目类型,它以推动学科发展、促进国民经济与社会的可持续发展为目标,每年年初集中受理一次.介绍了2004年度国家自然科学基金委员会信息科学部计算机科学处重点项目受理及资助情况,给出了评审原则,分析了存在的问题,并针对问题提出了建议.     

A semantic-based platform for R&D project funding management

Innovation is one of the keys to success in the business world, particularly within the current economic climate. R&D projects constitute the building blocks of the innovation process, hence the importance of searching for funding for these projects. As ontologies and semantic technologies mature, they provide a consistent and reliable means to represent and aggregate knowledge from different sources. The present work explores the use of ontologies to model R&D grant funding calls and the application of semantic technologies to the development of an enhanced funding management system. Our experiments confirm the success of the proposed approach, and reveal that it may bring considerable benefits to R&D funding.     

Mathematics, Computer Development, and Science Policy Debates after World War II

This study focuses on the work of three mathematicians who collaborated on post–World War II projects. Specifically, the article examines connections between science policy debates and how practices of early computer developers were affected. Debate topics included ownership of technologies developed in private industry and at universities with public funding. Computer developers found solutions to the issues debated, ultimately forming the Association for Computing Machinery.     

Effective ERP adoption processes: the role of project activators and resource investments

The aim of this paper is to demonstrate whether stakeholders activating a project shape team building, the structure and magnitude of resource investment levels, and to what extent these levels impact ERP project effectiveness. The process view of an ERP project includes project initiation, system justification and funding, implementation, and early system use. Results from a nationwide empirical survey conducted in Austria (N=88) show that activating actors influence team formation and resource investments, which impact project effectiveness levels. Resource-intensive justification and funding phases tend to precede resource-intensive implementations in heavy-weight projects, which seem to be less effective than light-weight projects. Resource and change conflicts are associated with lower project effectiveness and are more common in resource-intensive ERP projects, where early system use appears to be relatively less stable.     

Technology classification with latent semantic indexing

Many national and international governments establish organizations for applied science research funding. For this, several organizations have defined procedures for identifying relevant projects that based on prioritized technologies. Even for applied science research projects, which combine several technologies it is difficult to identify all corresponding technologies of all research-funding organizations. In this paper, we present an approach to support researchers and to support research-funding planners by classifying applied science research projects according to corresponding technologies of research-funding organizations. In contrast to related work, this problem is solved by considering results from literature concerning the application based technological relationships and by creating a new approach that is based on latent semantic indexing (LSI) as semantic text classification algorithm. Technologies that occur together in the process of creating an application are grouped in classes, semantic textual patterns are identified as representative for each class, and projects are assigned to one of these classes. This enables the assignment of each project to all technologies semantically grouped by use of LSI. This approach is evaluated using the example of defense and security based technological research. This is because the growing importance of this application field leads to an increasing number of research projects and to the appearance of many new technologies.     

浅析人工智能学科基金项目申请资助情况及展望

针对信息学部人工智能学科(F06) 2018至2020年度基金项目的申请和资助情况, 截取面上、青年、地区和重点项目, 点?线?面相结合, 从多种客观指标角度系统分析了三年来人工智能学科的申请和资助情况. 2020年度国家自然科学基金委学科代码进行了大幅度的调整和改革, 特别是在取消三级代码、增加二级代码数目的背景下, 本文的分析可以为新版代码的科学性和未来基金项目的申请、评审和资助导向提供统计支撑. 同时, 结合最近三年人工智能学科基金项目的申请资助情况, 以及科学处对人工智能领域的若干推动和工作安排, 对未来国家自然科学基金资助架构下的人工智能学科发展进行了展望.     

Adapting funding processes for agile IT projects: an empirical investigation

Agile software development that provides software development organizations, the ability to respond to changes in turbulent business environments, has been gaining wide adoption. Agile software development projects are characterized by ‘just enough’ planning and lack of upfront commitment to scope, cost, and schedule. These characteristics pose conflicting demands on managers responsible for making funding decisions, because traditional approaches to funding IT projects are often based on well-defined scope, cost, and schedule. These conflicts demand the adaptation of traditional funding processes to suit to agile projects. We draw from Adaptive Structuration Theory to understand the nature of conflicts between traditional IT project funding processes and the dynamic nature of agile projects, and how these conflicts are addressed by practices that are appropriated in the process of social interaction between funding decision makers and development teams. On the basis of a multisite case study, we present a framework that explains how organizations adapt traditional IT funding approaches to accommodate the unique characteristics of agile IT projects.     

基于Internet的省级科技基金项目管理系统

开发基于Internet的信息系统实现对省级科技基金项目管理提供全程、全方位的支持是提高其管理水平的有效手段。该文在分析了基于Internet的信息系统的特点及对省级科技基金项目管理工作带来变革的基础上，结合某省科技基金项目管理实践，提出了一个基于Internet的省级科技基金项目管理系统的总体框架，该系统已经在实际中得到应用。     

Social Science Approaches to e-Science: Framing an Agenda

The use of advanced high performance computing tools across the sciences, social sciences, and humanities has rapidly expanded in recent years. Several programs have been initiated under the umbrella of e-science with large-scale funding and a wide range of projects. The vision underlying these programs is that new tools will greatly enhance research and enable new forms of global collaboration. This article maps out the different social science approaches to e-science and provides illustrations of how they have been deployed. The aim is to highlight the diversity of these approaches, show complementarities among them, and point to how they may shape the e-science enterprise in years to come.     

Why do few assistive technology systems make it to market? The case of the HandyHelper project

Assistive technologies, such as telecare monitoring applications installed in the home, are being promoted to help reduce pressure on health care systems caused by an aging population and as such promise a large market for new products. However, despite many projects undertaken by commercial companies, and despite significant investments both by the companies and by national and international funding programs in the EU, such systems are not widespread. This paper reports on a retrospective study of the development of one early system, HandyHelper. We were interested in what challenges the development team faced and why the system is no longer on the market. Qualitative research methods were applied, including document analysis and interviews of key people involved in its development. Even though the system worked technically, the input of older users was sought, and a pilot installation was run, the development was stopped. The findings from a thematic analysis point to complex issues. Some problems were avoidable, e.g., by providing more support for new users, though other problems point to inherent tensions, such as the different needs of sensor-based security features and interactive services aimed at the older users. Yet other aspects are outside of the developer’s control, such as available public funding. We summarize these findings and suggest lessons learnt for future projects.