1. 西南大学计算机与信息科学学院,重庆 400715
2. 大连理工大学软件学院,辽宁 大连 116620
[ "贾韬(1982-),男,博士,西南大学计算机与信息科学学院教授、副院长,主要研究方向为大数据、复杂网络等,以第一作者(兼共同通信作者)在Nature Human Behaviour、Nature Communications、Physical Review Letters等学术期刊发表多篇论文。获2010年年度国家优秀自费留学生奖学金。" ]
[ "夏锋(1980-),男,博士,大连理工大学教授、博士生导师,软件学院副院长、学术委员会副主任,阿尔法实验室(The Alpha Lab)创始人兼主任,ACM高级会员、IEEE高级会员,主要研究方向为数据科学、大数据、知识管理、系统工程等。出版英文学术专著2部(Springer出版),在国际期刊和国际会议上发表论文290余篇,其中IEEE和ACM期刊论文70余篇。连续5年(2014—2018年)入选“中国高被引学者”榜单。" ]
网络首发:2019-09,
纸质出版:2019-09-15
移动端阅览
贾韬, 夏锋. “科学学”视角下的科研工作者行为研究[J]. 大数据, 2019,5(5):2019040-1.
Tao JIA, Feng XIA. Quantifying patterns in the behavior of scientists in Science of Science study[J]. Big Data Research, 2019, 5(5): 2019040-1.
贾韬, 夏锋. “科学学”视角下的科研工作者行为研究[J]. 大数据, 2019,5(5):2019040-1. DOI: 10.11959/j.issn.2096-0271.2019040.
Tao JIA, Feng XIA. Quantifying patterns in the behavior of scientists in Science of Science study[J]. Big Data Research, 2019, 5(5): 2019040-1. DOI: 10.11959/j.issn.2096-0271.2019040.
科学的复杂性、数据的可用性、对科学研究中客观规律认知的现实需求使得“科学学”这一传统问题转变为新兴的交叉研究热点。科学研究的主导者是科研工作者,研究科学中的规律首先要了解科研工作者的行为特征。梳理、介绍了几个相关的工作,包括科研工作者研究兴趣的演化、科研合作的内在驱动因素、科研团队与科研team的异同、多维度科研评价与学术不端的监测。研究结果可以为科研管理等现实问题提供理论工具和实证支撑。
The complexity of science
the data availability and the need for better understanding of science promote the research in an emerging field of “Science of Science”.To understand the regularities in science
we need to first understand the behavior patterns of scientists.A few related works were reviewed and introduced
including research interest evolution
internal microscopic driven force in scientific collaboration
the difference of research tuandui and research team
and the multidimensional measure of a scholar’s performance to prevent academic gaming.The results obtained will provide theoretical tools and empirical supports for practical issues related with research policy and research evaluation.
KUHN T S . The structure of scientific revolutions [M ] . Chicago : University of Chicago PressPress , 2012 .
DE SOLLA P D J . Little science,big science and beyond [M ] . New York : Columbia University PressPress , 1986 .
SINATRA R , WANG D , DEVILLE P , et al . Quantifying the evolution of individual scientific impact [J ] . Science , 2016 , 354 ( 6312 ):5239.
DA SILVA J A T . Does China need to rethink its metrics-and citationbased research rewards policies [J ] . Scientometrics , 2017 , 112 ( 3 ): 1853 - 1857 .
AZOULAY P , GRAFF-ZIVIN J , UZZI B , et al . Toward a more scientific science [J ] . Science , 2018 , 361 ( 6408 ): 1194 - 1197 .
JONES B F , WUCHTY S , UZZI B . Multiuniversity research teams:shifting impact,geography,and stratification in science [J ] . Science , 2008 , 322 ( 5905 ): 1259 - 1262 .
WUCHTY S , JONES B F , UZZI B . The increasing dominance of teams in production of knowledge [J ] . Science , 2007 , 316 ( 5827 ): 1036 - 1039 .
ZENG A , SHEN Z S , ZHOU J L , et al . The Science of Science:from the perspective of complex systems [J ] . Physics ReportsReview Section of Physics Letters , 2017 ( 714-715 ): 1 - 73 .
FORTUNATO S , BERGSTROM C T BÖRNER K , et al . Science of science [J ] . Science , 2018 , 359 ( 6379 ).
钱学森 . 希望 [J ] . 科学学与科学技术管理 , 1981 ( 1 ):7.
QIAN X S . Hope [J ] . Science of Science and Management of S.&.T. , 1981 ( 1 ):7.
WANG D , SONG C , BARABÁSI A L . Quantifying long-term scientific impact [J ] . Science , 2013 , 342 ( 6154 ): 127 - 132 .
HSIEHCHEN D , ESPINOZA M , HSIEH A . Multinational teams and diseconomies of scale in collaborative research [J ] . Science Advances , 2015 , 1 ( 8 ):e1500211.
RZHETSKY A , FOSTER J G , FOSTER I T , et al . Choosing experiments to accelerate collective discovery [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2015 , 112 ( 47 ): 14569 - 14574 .
JIA T , WANG D , SZYMANSKI B K . Quantifying patterns of research-interest evolution [J ] . Nature Human Behaviour , 2017 , 1 ( 4 ):78.
WAY S F , MORGAN A C , CLAUSET A , et al . The misleading narrative of the canonical faculty productivity trajectory [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2017 , 114 ( 44 ): 9216 - 9223 .
WU L , WANG D , EVANS J A . Large teams develop and small teams disrupt science and technology [J ] . Nature , 2019 , 566 ( 7744 ): 378 - 382 .
XIE Y , ZHANG C , LAI Q . China’s rise as a major contributor to science and technology [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2014 , 111 ( 26 ): 9437 - 9442 .
HUANG F . Quality deficit belies the hype [J ] . Nature , 2018 , 564 ( 7735 ):70.
KUHN T S . The essential tension [J ] . American Journal of Physics , 1979 , 47 ( 6 ): 568 - 569 .
AZOULAY P , GRAFF ZIVIN J S , MANSO G . Incentives and creativity:evidence from the academic life sciences [J ] . The RAND Journal of Economics , 2011 , 42 ( 3 ): 527 - 554 .
TIAN X , WANG T Y . Tolerance for failure and corporate innovation [J ] . The Review of Financial Studies , 2014 , 27 ( 1 ): 211 - 255 .
FOSTER J G , RZHETSKY A , EVANS J A . Tradition and innovation in scientists’ research strategies [J ] . American Sociological Review , 2015 , 80 ( 5 ): 875 - 908 .
TANG J , ZHANG J , YAO L , et al . Arnetminer:extraction and mining of academic social networks [C ] // The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,August 24-27,2008,Las Vegas,USA . New York:ACM Press , 2018 : 990 - 998 .
XIA F , WANG W , BEKELE T M , et al . Big scholarly data:a survey [J ] . IEEE Transactions on Big Data , 2017 , 3 ( 1 ): 18 - 35 .
RZHETSKY A , FOSTER J G , FOSTER I T , et al . Choosing experiments to accelerate collective discovery [J ] . Proceedings of the National Academy of Sciences of the United States of America , 2015 , 112 ( 47 ): 14569 - 14574 .
COKOL M , IOSSIFOV I , WEINREB C , et al . Emergent behavior of growing knowledge about molecular interactions [J ] . Nature Biotechnology , 2005 , 23 ( 10 ): 1243 - 1247 .
KABO F W , COTTON-NESSLER N , HWANG Y , et al . Proximity effects on the dynamics and outcomes of scientific collaborations [J ] . Research Policy , 2014 , 43 ( 9 ): 1469 - 1485 .
LEAHEY E . From sole investigator to team scientist:trends in the practice and study of research collaboration [J ] . Annual Review of Sociology , 2016 , 42 ( 1 ): 81 - 100 .
WANG W , YU S , BEKELE T M , et al . Scientific collaboration patterns vary with scholars’ academic ages [J ] . Scientometrics , 2017 , 112 ( 1 ): 329 - 343 .
WANG W , LIU J , YANG Z , et al . Sustainable collaborator recommendation based on conference closure [J ] . IEEE Transactions on Computational Social Systems , 2019 , 6 ( 2 ): 311 - 322 .
National Research Council . Enhancing the effectiveness of team science [M ] . Pittsburgh : National Academies PressPress , 2015 .
方文东 . 关于科研团队组建的一些认识 [J ] . 科技管理研究 , 2002 , 22 ( 4 ): 42 - 43 .
FANG W D . The attitude about organizing scientific research group [J ] . Science and Technology Management Research , 2002 , 22 ( 4 ): 42 - 43 .
WANG J , HICKS D . Scientific teams:selfassembly,fluidness,and interdependence [J ] . Journal of Informetrics , 2015 , 9 ( 1 ): 197 - 207 .
LEE Y N , WALSH J P , WANG J . Creativity in scientific teams:unpacking novelty and impact [J ] . Research Policy , 2015 , 44 ( 3 ): 684 - 697 .
DONG Y , MA H , TANG J , et al . Collaboration diversity and scientific impact [J ] ..03694. Computer Science,2018,arXiv:1806 .03694.
YU S , XIA F , ZHANG K , et al . Team recognition in big scholarly data:exploring collaboration intensity [C ] // 2017 IEEE 15th International Conference on Dependable,Autonomic and Secure Computing,September 17-21,2017,St.Petersburg,USA . Piscataway:IEEE Press , 2017 : 925 - 932 .
BIAGIOLI M , KENNEY M , MARTIN B , et al . Academic misconduct,misrepresentation and gaming:a reassessment [J ] . Research Policy , 2018 .
0
浏览量
613
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621