Big Science, Big Trouble? Understanding Conflict in and Around Big Science Projects and Networks

被引:1
作者
Ruland, Anna-Lena [1 ]
机构
[1] Leiden Univ, Leiden Inst Adv Comp Sci, Sci Based Business, Niels Bohrweg 1, NL-2333 CA Leiden, Netherlands
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
Conflict; Big Science Projects; Big Science Networks; Strategic Action Fields; ITER; HBP; TMT; FUSION; POLICY; FIELD;
D O I
10.1007/s11024-023-09497-w
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Many Big Science projects and networks experience conflict. A plethora of disciplines have examined conflict causes in science collaboration and Big Science, contributing to a more nuanced understanding of why conflicts emerge. Yet, so far, there is no theoretical model that explains which mechanisms connect conflict cause and outbreak in Big Science. Drawing on interdisciplinary literature on science collaboration and Big Science as well as on scholarship on strategic action fields (SAFs), I address this blind spot by proposing a model that outlines which mechanisms induce and fuel conflict in Big Science projects and networks. Five interlinked mechanisms - attribution of threat or opportunity, mobilization of resources, coalition-building, boundary deactivation and innovative action - are central to it. Tracing these mechanisms in conflictual episodes which emerged in three typical, yet most-different, Big Science cases - the International Experimental Thermonuclear Reactor (ITER), the Human Brain Project (HBP) and the Thirty Meter Telescope (TMT) - this study also provides a proof of concept for the model.
引用
收藏
页码:553 / 580
页数:28
相关论文
共 47 条
  • [21] The use of readiness assessment for big data projects
    Barham, Husam
    Daim, Tugrul
    SUSTAINABLE CITIES AND SOCIETY, 2020, 60 (60)
  • [22] Does big data serve policy? Not without context. An experiment with in silico social science
    Chris Graziul
    Alexander Belikov
    Ishanu Chattopadyay
    Ziwen Chen
    Hongbo Fang
    Anuraag Girdhar
    Xiaoshuang Jia
    P. M. Krafft
    Max Kleiman-Weiner
    Candice Lewis
    Chen Liang
    John Muchovej
    Alejandro Vientós
    Meg Young
    James Evans
    Computational and Mathematical Organization Theory, 2023, 29 : 188 - 219
  • [23] Does big data serve policy? Not without context. An experiment with in silico social science
    Graziul, Chris
    Belikov, Alexander
    Chattopadyay, Ishanu
    Chen, Ziwen
    Fang, Hongbo
    Girdhar, Anuraag
    Jia, Xiaoshuang
    Krafft, P. M.
    Kleiman-Weiner, Max
    Lewis, Candice
    Liang, Chen
    Muchovej, John
    Vientos, Alejandro
    Young, Meg
    Evans, James
    COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 2023, 29 (01) : 188 - 219
  • [24] Artificial intelligence, machine learning, and big data: Improvements to the science of people at work and applications to practice
    Woo, Sang Eun
    Tay, Louis
    Oswald, Frederick
    PERSONNEL PSYCHOLOGY, 2024, 77 (04) : 1387 - 1402
  • [25] Big Science and Big Data in Biology: From the International Geophysical Year through the International Biological Program to the Long Term Ecological Research (LTER) Network, 1957-Present
    Aronova, Elena
    Baker, Karen S.
    Oreskes, Naomi
    HISTORICAL STUDIES IN THE NATURAL SCIENCES, 2010, 40 (02) : 183 - 224
  • [27] Big Data approaches in social and behavioral science: four key trade-offs and a call for integration
    Mahmoodi, J.
    Leckelt, M.
    van Zalk, M. W. H.
    Geukes, K.
    Back, M. D.
    CURRENT OPINION IN BEHAVIORAL SCIENCES, 2017, 18 : 57 - 62
  • [28] Inclusive yet marginalising: Symbolic empowerment through open big data in citizen science for transport planning
    Chan, Tommy Ho-Yin
    BIG DATA & SOCIETY, 2025, 12 (01):
  • [29] Crowd-Funded Micro-Grants for Genomics and "Big Data": An Actionable Idea Connecting Small (Artisan) Science, Infrastructure Science, and Citizen Philanthropy
    Oezdemir, Vural
    Badr, Kamal F.
    Dove, Edward S.
    Endrenyi, Laszlo
    Geraci, Christy Jo
    Hotez, Peter J.
    Milius, Djims
    Neves-Pereira, Maria
    Pang, Tikki
    Rotimi, Charles N.
    Sabra, Ramzi
    Sarkissian, Christineh N.
    Srivastava, Sanjeeva
    Tims, Hesther
    Zgheib, Nathalie K.
    Kickbusch, Ilona
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2013, 17 (04) : 161 - 172
  • [30] Big data driven multi-tier architecture for electric mobility as a service in smart cities A design science approach
    Anthony, Bokolo, Jr.
    Petersen, Sobah Abbas
    Ahlers, Dirk
    Krogstie, John
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2020, 14 (05) : 1023 - 1047