Study on Influencing Factors and Mechanism of Scientific and Technological Innovation Talents Gathering in Zhejiang Province

This paper systematically studies the influencing factors and mechanism of the agglomeration of scientific and technological innovation talents in Zhejiang Province. The findings are as follows: Firstly, environmental factors such as marketization level, financial development, opening to the outside world, infrastructure construction, medical resources, educational resources, cultural resources and policy support have a positive impact on the agglomeration of scientific and technological talents in Zhejiang Province;Secondly, in the transmission mechanism of the influence of various environmental factors on the concentration of scientific and technological talents in Zhejiang, economic development plays an intermediary role, and the effect is obvious. Various environmental factors indirectly affect the concentration of scientific and technological talents in Zhejiang through economic development. Finally, although both the level and quality of economic development have significant effect on the total concentration of scientific and technological talents in Zhejiang, the mediating effect of economic development level is more significant. These studies are for Zhejiang Province. It provides a theoretical basis for cultivating high-end talents and realizing the agglomeration of scientific and technological innovation talents.

Design Index and Empirical Analysis of the Evaluation Index System for the Transformation of Scientific and Technological Achievements of Universities in Beijing, Tianjin and Hebei

Promoting the transformation of scientific and technological achievements of universities and colleges in Beijing, Tianjin, and Hebei is an important measure to enhance the level of scientific and technological development in universities, enhance the scientific and technological synergy of Beijing-Tianjiii-Hebei urban agglomeration, practice the coordinated development strategy of Beijing, Tianjin and Hebei, and promote the construction of Xiong'an New District. Based on the scientific and technological input of colleges and universities, the development of science and technology and the output of science and technology, this paper uses Delphi and AHP to construct a Beijing, Tianjin, Hebei University Science and Technology Achievement Transformation Performance Evaluation System from the perspectives of transformation potentials, scientific research activities and achievements transformation of university scientific and technological achievements. An empirical analysis was carried out to provide reference for the government's efficient decision-making and improvement of strategies for transforming scientific and technological achievements in universities.

Survey of Data Value Evaluation Methods Based on Open Source Scientific and Technological Information

It is important to effectively identify the data value of open source scientific and technological information and to help intelligence analysts select high-value data from a large number of open-source scientific and technological information. The data value evaluation methods of scientific and technological information is proposed in the open source environment. According to the characteristics of the methods, the data value evaluation methods were divided into the following three aspects: research on data value evaluation methods based on information metrology, research on data value evaluation methods based on economic perspective and research on data value assessment methods based on text analysis. For each method, it indicated the main ideas, application scenarios, advantages and disadvantages.

An empowerment evaluation framework for national scientific and technical information governance

‘Empowerment’is the result of pursuing special capabilities under a specific value orientation.The changes in related object capabilities triggered by scientific and technical information activities in the new environment are important to the national scientific and technical(S&T)information governance.Based on the empowerment theories and evaluation practices,this study attempts to construct an empowerment evaluation framework for national S&T information governance and takes the participatory technology assessment and Altmetrics methods as examples to demonstrate its advantages:1)The capability changes and development potential are regarded as important basis for evaluation;2)The multi-person participation and multi-indicator comprehensive evaluation method is conducive to the democratic and objective nature of science and technology information governance policy formulation.

Study on Training Ways of Marine Science and Technology Talents Based on Behavior Analysis

Firstly,the behavior of marine science and technology talents,such as scientific research,innovation,agglomeration and flow behavior,was analyzed,and then the problems in the training of marine science and technology talents were discussed.Finally,the training ways of marine science and technology talents were proposed.

Problems of Agricultural Technological Innovation in China and Countermeasures

Major problems of agricultural technological innovation in China were summarized as below: first,poor agricultural science and technology system; second,deficient technological promotion system; third,shortage of agricultural professionals; fourth,serious shortage of science and technology input. In view of these problems,the following suggestions were given to improve the innovation of agricultural technology in China. ( 1) Restructuring agricultural research institutes,establishing cooperative innovation centers,improving agricultural technological innovation system; ( 2) Specifying the direction of research projects,improving scientific research level of technicians,so as to improve the agricultural technological innovation capacity; ( 3) Improving promotion and service stations in towns,organizing technological service teams of agricultural universities and colleges,establishing agricultural technological promotion systems; ( 4) Increasing input in agricultural technological innovation by attracting government input,enterprise investment and other financial support; ( 5) Cultivating more talents of agricultural technology,training leading agricultural technicians,grassroots agricultural service staff and practical talents.

人工智能聊天机器人对科研成果与人才评价的影响研究——基于ChatGPT、Microsoft Bing视角分析

美国开放人工智能研究中心(OpenAI)研发的人工智能聊天机器人ChatGPT,基于“生成预训练转换器”(GPT)语言模型能够理解和响应自然语言输入,于2022年11月30日正式发布,短时间内在全球互联网界、学术界及产业界引发热议和关注。以ChatGPT、Microsoft Bing为代表的人工智能聊天机器人基于超大海量数据,采用“从人类反馈中强化学习”(RLHF)进行训练,主要具有三大功能:智能交互对话、智能文本生成、智能文献爬取。人工智能聊天机器人的核心竞争力是采用人工智能生成内容技术(AIGC)而具有强大的内容生成或文本生成能力,除能够生成一般应用性文稿外,还能够从事科学写作,从而引领和推动知识生产方式和学术研究范式变革,知识生产和学术研究进程将显著提速,知识生产者将从非创造性劳动中获得解放,知识生产方式将由“手动式”“半自动式”迈向“自动化”“智能化”。这种变革对传统的科研成果评价机制将产生重大影响,更进一步将对通过科研成果进行人才评价产生重大影响。大体上说,以ChatGPT为代表的人工智能聊天机器人应用于学术研究中,将遮蔽成果演化学术史,影响科研成果创新性评价;挑战知识产权保护制度,影响科研成果权属认定;带来学术伦理风险,影响科研成果评价生态;冲击人才评价基本标准,影响人才评价客观性。鉴于人工智能的渗透性、扩散性和颠覆性,首先要在思想认识上积极面对而不是消极应对,用其所长、避其所短,审慎使用,着力发挥其促进知识生产、推动学术进步的积极作用;其次,要抓住现行相关法规制度与快速进步的人工智能技术之间发展不平衡的矛盾,进一步完善制度、设置“护栏”,规范使用;第三,要推动技术开源,公开其智能生成逻辑,增强人工智能聊天机器人的技术可信度;第四,要建立人机协作机制,既发挥技术的数据处理优势,又发挥人的理性思维优势,最终由人把关知识生产、科研成果及人才评价。

Patent Citations Analysis and Its Value in Research Evaluation： A Review and a New Approach to Map Technology-relevant Research

Purpose： First, to review the state-of-the-art in patent citation analysis, particularly characteristics of patent citations to scientific literature （scientific non-patent references, SNPRs）. Second, to present a novel mapping approach to identify technology-relevant research based on the papers cited by and referring to the SNPRs. Design/methodology/approach： In the review part we discuss the context of SNPRs such as the time lags between scientific achievements and inventions. Also patent-to-patent citation is addressed particularly because this type of patent citation analysis is a major element in the assessment of the economic value of patents. We also review the research on the role of universities and researchers in technological development, with important issues such as universities as sources of technological knowledge and inventor-author relations. We conclude the review part of this paper with an overview of recent research on mapping and network analysis of the science and technology interface and of technological progress in interaction with science. In the second part we apply new techniques for the direct visualization of the cited and citing relations of SNPRs, the mapping of the landscape around SNPRs by bibliographic coupling and co-citation analysis, and the mapping of the conceptual environment of SNPRs by keyword co-occurrence analysis. Findings： We discuss several properties of SNPRs. Only a small minority of publications covered by the Web of Science or Scopus are cited by patents, about 3%-4%. However, for publications based on university-industry collaboration the number of SNPRs is considerably higher, around 15%. The proposed mapping methodology based on a ＂second order SNPR approach＂ enables a better assessment of the technological relevance of research. Research limitations： The main limitation is that a more advanced merging of patent and publication data, in particular unification of author and inventor names, in still a necessity. Practical implications： The proposed mapping methodology enables the creation of a database of technology-relevant papers （TRPs）. In a bibliometric assessment the publications of research groups, research programs or institutes can be matched with the TRPs and thus the extent to which the work of groups, programs or institutes are relevant for technological development can be measured. Originality/value： The review part examines a wide range of findings in the research of patent citation analysis. The mapping approach to identify a broad range of technologyrelevant papers is novel and offers new opportunities in research evaluation practices.

油气企业科技创新人才价值溯源分成评估

科技创新是发展新质生产力的核心力量,而科技创新人才是创新过程中的第一要素。作为油气生产的主要参与主体,油气企业要实现高水平科技自立自强,归根结底要依靠拥有高水平创新能力的人才队伍。为了激发科技人才创新活力动力,在人才价值创造与评估现状分析的基础上,依据生产全要素视角下的科技创新价值分享理论与方法,建立了油气企业科技创新人才价值溯源分成评估方法。研究结果表明:(1)油气企业科技创新是一个系统性的复杂过程,匹配油气企业科技创新特征、具有产业适应性的人才价值评估理论与方法较少;(2)油气企业科技创新人才价值溯源分成,是以油气科技创新成果经济价值评估结果为前提对参与成果创造的团队和个人按照实际贡献进行价值追溯与量化的过程,需要通过对单项科技创新成果经济价值溯源和科技创新成果完成人价值溯源两次溯源来实现;(3)以创新成果为导向的科技创新人才价值贡献率是人才价值溯源分成的核心参数,由完成人参与度、完成人创新度、完成人贡献度为内容的综合评估指标体系共同确定。结论认为,该方法为加快建立以创新价值、业绩、贡献为导向的人才评价体系提供了参考,能够有效解决人才在油气科技创新活动中的经济价值量化问题,对推动高水平科技自立自强有现实意义。

Research on the evolutionary characteristics of evaluation policies of Chinese science and technology talents

Science and technology talent evaluation is an important part of the talent development system and mechanism,and the state's emphasis on science and technology talent evaluation is reflect-ed in the national policy.This paper takes 49 policy documents on science and technology tal-ent evaluation issued by the state from 1978 to 2022 as the object,and uses policy text analysis,word frequency analysis and co-word network analysis to interpret the content of the policies.These policy texts are divided into four stages.200 high-frequency words were extracted from the policies in each stage after word segmentation was made,and the co-word matrixes and co-word networks were constructed for each stage.The research draws the following conclu-sions:1)The content of Chinese science and technology talent evaluation policies is gradually becoming concrete,and the concept of science and technology talent evaluation is gradually clear;2)The policies have transitioned from"scientific and technological development"to"sci-entific and technological innovation";3)The distribution of policies with different strengths is uneven;4)The cooperation between all departments involved in policy formulation is not e-nough.

全球心血管疾病学术影响力评价(CAPE)体系的方法探索

目的:构建全球心血管疾病学术影响力评价(Cardiovascular Academic Performance Evaluation,CAPE)体系,并对全球医疗机构心血管疾病学术影响力进行排名。方法:由心血管疾病领域人员和图书情报人员提取医学主题词表(MeSH)、Embase同义词表、国际疾病分类(ICD)中心血管疾病相关术语,建立心血管术语词表(即阜外词表),设定缺血性心脏病、高血压、血管疾病、心律失常、肺血管疾病、心力衰竭、先天性心脏病、心肌病和瓣膜性心脏病等9个亚学科,实现亚学科分类、心血管术语词、入口词的映射。检索Web of Science、PubMed、Scopus数据库2016年1月1日至2022年12月31日的心血管领域论文,并对元数据进行去重融合;应用阜外词表对论文中主题词、题目、关键词、摘要等4个位置的内容进行检索匹配,生成论文“位置-心血管术语词-频次”的信息表,计算每一篇论文心血管学科相关度积分及亚学科积分。对论文的机构名、学者名进行规范化清洗,基于心血管强相关(相关度积分≥4分)原创性论文开展全球心血管疾病领域学术影响力的评价。针对全国医疗机构(心血管)的科技评价,还采集了国家自然科学基金项目、授权发明专利、获奖成果、科研平台、注册试验[国家药品监督管理局药品审评中心(CDE)药物临床试验登记数据]等数据。结果:检索到全球2016~2022年心血管领域论文1545103篇,剔除摘要、书籍、传记、新闻、视频、音频、撤稿、更正声明后为1178019篇,使用阜外词表标引“心血管强相关”论文518058篇。还采集到11143项心血管相关国家自然科学基金项目、19382项心血管相关有效授权发明专利、103项心血管相关国家级获奖成果、24个心血管相关国家科研平台、2084项CDE心血管相关药物临床试验登记等数据。经组织心血管疾病及其亚学科专家团队针对各自亚学科论文进行核对和验证,改进学科分类规则,最终锁定11项指标构建了心血管疾病和9个亚学科领域的综合评价指标体系。2016~2022年,中国发表心血管疾病研究论文数量增幅为123.5%,共发表约7.68万篇,平均每天约30篇,仅次于美国(约11.41万篇),居世界第二位。但中国期刊引证报告(JCR)分区和中国科学院分区论文占比仅居世界第八位。在2020~2022年全球医疗机构心血管原创研究论文影响力综合评估中,仅2家中国医疗机构进入前20名。结论:CAPE项目基于2016~2022年多源数据基础,首次探索建立了心血管领域机构学术影响力综合评价指标体系。

科技治理范式下的人才评价:理论指向与实践进路

当前,以科技管理范式为应然的人才评价体制机制相对滞后于科技治理改革实然,导致人才评价实践中衍生诸多问题,亟需建立符合科技治理需要的人才评价体制机制。但是,由于科技治理的理论内涵尚未厘清,对于人才评价改革实践的指导作用有限。为阐明科技治理时代的人才评价实践进路,本文首先从目标、行动、话语、组织、规范5个维度对科技治理的理论内涵进行解构。在此基础上,明确了科技治理时代的人才评价应将创新生态系统建设作为评价目标、以网络结构重塑评价主客体关系、面向合作重构人才评价标准、以平等对话改良评价方式、在行动中规范人才评价过程。

粤港澳大湾区建设高水平人才高地的关键——以一流人才体系为中心

高水平人才高地不仅是高水平人才聚集区,更是破“五唯”立新标、深化科技体制改革、前瞻布局的人才特区,是原始创新和文理交融的策源地。其核心问题是如何打造一流人才体系,包括一流人才的驱动、甄选、吸引、组织管理与自主培养等。为此本文对愿景驱动、一流人才的标准、甄选方法等进行探讨,分析建设高水平人才高地与一流学科对促进自主培养与留住一流人才的重要作用。鼓励原始创新见效最快的方式是盘点已经问世却尚未得到公认的原创成果,让完成人及时胜出。未来观与AI大爆发决定高水平人才高地建设的前瞻布局,强调安全与发展同等重要。指出借助AI for Science在科研管理创新上的潜力与功效,推动AI+科技评价和AI化改革,知识点考核,杜绝垃圾论文、避免劣币驱逐良币。粤港澳大湾区,特别是深圳,应该从对标硅谷,到跃升为绿色、人文、科技、安全的世界级智慧城市群,实现我国科技的高质量、安全永续的发展,推动世界科学中心建设。

科技人才评价研究综述

加强科技人才评价研究,有助于发挥“评价”的“指挥棒”和“风向标”作用,充分激发科技人才的创新创造活力,为加快实现高水平科技自立自强和建成科技强国的宏伟目标提供有力的人才支撑。综述了科技人才评价对象的研究现状,从专家定性评价法、定量指标评价法以及综合评价法3个方面对科技人才评价方法进行述评,重点介绍了层次分析法、熵值法、因子分析法、基于熵权的TOPSIS法、模糊综合评价法,对科技人才评价常见指标体系进行了梳理总结,展望了科技人才评价的发展趋势,结合当前形势与政策,提出今后应进一步细化评价对象分类研究,注重科技人才评价指标的价值导向和数字化技术在科技人才评价中的深化应用。

人才计划激发高层次科技人才的成就动机吗?

面对人才计划是激励了科技人才,还是诱发了科技人才急功近利、心浮气躁的争议,本文系统梳理了人才计划选育人才特点和实践过程中存在的功能异化问题,构建了包含成就动机的科技人才激励理论模型分析框架,并使用全国科技工作者调查数据和倾向得分匹配方法,实证检验人才计划激励高层次科技人才成就动机的净效应。结果表明:①人才计划的特点是强调以人为本,旨在培养和提高科技人才的创新研究能力,鼓励人才自由探索和根本创新,但实施过程中存在政策工具的过度使用、薪酬待遇和资源的过度倾斜等问题;②适度科研经费支持有助于强化科技人才的成就动机,而过度强调绩效激励则可能产生挤出效应;③入选人才计划对高层次科技人才成就动机的激发作用是显著的,在继续推进人才计划支持方式的同时应正视弊端、系统谋划。

融合评价视角下的查收查引工作发展与探索

研究基于多源数据多维指标融合学术评价理论,图书馆查收查引业务工作的新拓展,克服工作过程中过于依赖SCI收录与引用数量等问题,探索多源多维度反映学术论文影响力的评价工作方法。通过梳理查收查引工作内容变化以及影响力相关学术评价理论,对面向计量评价的数字基础设施各类型评价指标进行梳理,对单篇学术论文及学者根据“即插即用”的工作要求进行应用分析。研究认为,查收查引工作应充分利用现有的计量学评价理论研究成果及数字基础设施,适应我国学术评价时代特征与环境不断拓展工作内容,多源、多维度、多指标融合地进行学术成果的综合评价。

福建省计算机及办公设备制造业科技创新能力评价

数字经济上升为国家战略背景下,作为其核心产业之一的计算机及办公设备制造业发展也备受关注。构建计算机及办公设备制造业科技创新能力评价指标体系,运用模糊综合评价方法,对10个省份计算机及办公设备制造业科技创新能力进行评价分析,并提出福建发展计算机及办公设备制造业相应建议。

基于“134”模式下的高技能人才培养探索与应用研究

培养合格的高素质技术技能型人才是实现我国装备制造强国的重要内容。通过多年的实践和探索,哈尔滨职业技术学院成功总结出“134”模式下的“高端技能型人才培养方案”,实现科技成果创新突破,完成了多项省级乃至国家级科研成果项目,学生技能培养硕果累累,学生在省级和全国职业院校技能大赛中屡获佳绩,实现了高技能人才的创新培养,为我国实现装备制造强国提供了高技能型人才的保障。

基于大数据赋能的重大科技项目监测评估新模式研究

监测评估作为重大科技项目组织实施的重要抓手,在推动完善项目管理、提升管理绩效、构建科技大监督格局方面发挥了重要作用。但是,目前仍存在数字化评估手段有限、对科技决策支撑作用不充分和监测评估效能尚未充分释放等问题。为进一步优化重大科技项目组织实施模式,让数字化、信息化工具更大程度赋能科技评估,以重大科技项目为研究对象,研究了国内外重大科技项目监测评估的模式,围绕中国现阶段重大科技项目监测评估面临的挑战,探讨了大数据赋能监测评估的理论依据、主要特点,探索构建了重大科技项目数据治理新路径,并提出了建立重大科技项目管理新机制、新方法、新模式等有关政策建议。

基于点分配法、全一致性法、灰色关联分析的科技人才分类评价研究

科技人才评价是一种多准则决策问题,不同方法导致评估存在不确定性,已有相关评价方法在实践中存在一定的局限性。为解决这一问题,针对创新活动不同阶段对科技人才评价的差异化要求,立足于“破四唯”和“立新标”并举的思路,将科技人才分为基础研究类、应用研究和技术开发类以及科技管理服务类,基于政策文件和文献的关键词提取法构建科技人才分类评价指标体系,通过充分考虑不同方法导致评估存在的不确定性,结合点分配法(PA)和全一致性法(FUCOM)构建灰数组合权重,将灰数权重和不同决策者针对评价对象的评估分数作为灰数输入,提出PA-FUCOM灰色关联分析法;并以陕西省某研究院的4位应用研究和技术开发类人才为例进行实证分析,以验证评价结果的有效和准确性。结果表明:基于PA-FUCOM灰色关联分析法的科技人才评价指标体系,对基础研究人才整体上各类指标相对较为均衡但侧重人才价值和学科背景,对应用研究和技术开发类人才在成果价值和转化效益上拥有更大的权重,对科技管理服务类人才整体指标相对均衡但在成果价值上的权重相对更大;灰色系统理论有助于解决科技人才评价过程存在的不确定性,点分配法在实际评估中简单可行,FUCOM由于计算量小、一致性更高从而为混合指标权重计算提供了新的可能,因此PA-FUCOM组合权重计算方法在评价结果区分度、评价结果的一致性上都有较好的表现.