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1

Heroux, Michael A., Jeffrey C. Carver, and Sarah Knepper. "Collegeville Workshop 2021: Scientific Software Teams." Computing in Science & Engineering 24, no. 3 (May 1, 2022): 4–5. http://dx.doi.org/10.1109/mcse.2022.3180488.

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2

Hussinger, Katrin, and Maikel Pellens. "Scientific misconduct and accountability in teams." PLOS ONE 14, no. 5 (May 2, 2019): e0215962. http://dx.doi.org/10.1371/journal.pone.0215962.

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&NA;. "For Sports Teams—and Scientific Research Teams—Excessive Talent May Undermine Performance." Back Letter 29, no. 10 (October 2014): 113. http://dx.doi.org/10.1097/01.back.0000455806.09301.a6.

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4

Liu, Linlin, Jianfei Yu, Junming Huang, Feng Xia, and Tao Jia. "The dominance of big teams in China’s scientific output." Quantitative Science Studies 2, no. 1 (2021): 350–62. http://dx.doi.org/10.1162/qss_a_00099.

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Abstract Modern science is dominated by scientific productions from teams. A recent finding shows that teams of both large and small sizes are essential in research, prompting us to analyze the extent to which a country’s scientific work is carried out by big or small teams. Here, using over 26 million publications from Web of Science, we find that China’s research output is more dominated by big teams than the rest of the world, which is particularly the case in fields of natural science. Despite the global trend that more papers are written by big teams, China’s drop in small team output is much steeper. As teams in China shift from small to large size, the team diversity that is essential for innovative work does not increase as much as that in other countries. Using the national average as the baseline, we find that the National Natural Science Foundation of China (NSFC) supports fewer small teams than the National Science Foundation (NSF) of the United States does, implying that big teams are preferred by grant agencies in China. Our finding provides new insights into the concern of originality and innovation in China, which indicates a need to balance small and big teams.
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Anderson, Katharine. "Network representations of diversity in scientific teams." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476, no. 2242 (October 2020): 20190797. http://dx.doi.org/10.1098/rspa.2019.0797.

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One strength of network analysis is its ability to encapsulate social heterogeneity. Here, we leverage that strength to examine another dimension of individual heterogeneity: heterogeneity of skills, knowledge and experience. This skill heterogeneity is difficult to quantify, but is vitally important to outcomes for both individuals and teams. Complicating the matter, skill diversity can be present on multiple levels. Individuals have different kinds of skills, but they also have different degrees of specialization. Skill diversity on a team level may come from individual skill diversity or focused researchers in different areas. Here, we illustrate our network-based method for characterizing skill sets in a context of increasing importance: scientific collaboration. Using data from the field of economics, we create network-based measures of paper scope, individual specialization, coauthor alignment and team skill diversity. We then use those measures to examine the relationship between skill diversity and publication outcomes.
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6

Wang, Jian, and Diana Hicks. "Scientific teams: Self-assembly, fluidness, and interdependence." Journal of Informetrics 9, no. 1 (January 2015): 197–207. http://dx.doi.org/10.1016/j.joi.2014.12.006.

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7

Weinfurt, Kevin P. "Managing different intellectual personalities in scientific teams." Journal of Clinical and Translational Science 3, no. 2-3 (June 2019): 50–52. http://dx.doi.org/10.1017/cts.2019.388.

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8

Stvilia, Besiki, Adam Worrall, Michelle M. Kazmer, Charles C. Hinnant, Gary Burnett, Katy Schindler, Kathleen Burnett, and Paul F. Marty. "Composition of scientific teams and publication productivity." Proceedings of the American Society for Information Science and Technology 47, no. 1 (November 2010): 1–2. http://dx.doi.org/10.1002/meet.14504701304.

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9

Glushchenko, V. "The Scientific Theory of Teams and Strategic Management of Teamwork." Bulletin of Science and Practice 6, no. 4 (April 15, 2020): 272–87. http://dx.doi.org/10.33619/2414-2948/53/32.

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Subject of the article is development of scientific theory and methodology teams strategic management of teams, the object of the article is dedicated to team activities under the project approach in the economy, the aim is to increase the efficiency of strategic management of work teams in terms of project approach to achieve the goals the following tasks: study of development of methodology of team work and management of work teams (groups, schools); identify and study the function and role of teams in organizations; the method of forming a team management strategy within the project approach; forming a scientific theory of teamwork; describing the paradigm of strategic management of teamwork and its components; research sources of risks to reduce the effectiveness of teams; scientific methods in the article are the methodology of science, historical analysis, heuristic synthesis, system analysis and approach, the method of expert assessments, comparative analysis, forecasting; the scientific novelty of the article is the formation of scientific theories of teamwork, the definition of the functions and roles of command in the economy, scientific bases and a technique of formation of strategy of management by work teams within the framework of the project approach taking into account the specifics of work teams in conditions of the sixth technological structure.
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10

Jiahui Jin. "Knowledge Hiding of Scientific Research Teams in Colleges and Universities within the Chinese Context." Journal of Electrical Systems 20, no. 7s (May 4, 2024): 1796–99. http://dx.doi.org/10.52783/jes.3801.

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Knowledge hiding is a concept corresponding to knowledge sharing, hindering knowledge integration and innovation of scientific research teams. Study on knowledge hiding is beneficial to improving the innovation ability and performance of scientific research teams. Current research on knowledge hiding behaviors of scientific research teams in colleges and universities within the Chinese context have made new progress, including but not limited to: (1) Characteristics of scientific research teams in colleges and universities within the Chinese context, and the unique knowledge hiding behavior patterns caused by such characteristics; (2) How to effectively measure knowledge hiding behaviors within the Chinese context; (3) Local factors triggering knowledge hiding behaviors; (4) Chinese leadership in scientific research teams; (5) Impact of the unique office culture in China on knowledge hiding behaviors.
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11

Zhang, Meishu, Yu Jia, Nianxin Wang, and Shilun Ge. "Using Relative Tie Strength to Identify Core Teams of Scientific Research." International Journal of Emerging Technologies in Learning (iJET) 14, no. 23 (December 6, 2019): 33. http://dx.doi.org/10.3991/ijet.v14i23.10394.

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In China, it has long become imperative for the management of education and science and technology to build high-level scientific and technological innovation teams. Scientifically and accurately identifying core scientific research teams is an important condition for cultivating and building such teams. The absolute threshold method (e.g., c-level clique at, n- clique, k-core) is the prevailing means of identifying core teams and their core members. In fact, effects such as “the preference-dependent effect”, “the apostle effect” and “the star effect”, the cooperative relationship between the researchers is not even. This study, based on the co-authorship network, found that not choosing the absolute threshold properly can easily lead to poor identification of core members of some teams. Even worse, when the absolute threshold is too large, this “uniform” evaluation criterion of tie strength results in the elimination of some core teams in some disciplines. This paper uses relative tie strength to identify core scientific research teams from a new perspective, which can effectively avoid the situation of some core team members being ignored because of the mandatory requirements of the absolute tie strength among members, and can also solve the challenge of threshold selections for identifying different teams.
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12

Lee, You-Na, John P. Walsh, and Jian Wang. "Creativity in scientific teams: Unpacking novelty and impact." Research Policy 44, no. 3 (April 2015): 684–97. http://dx.doi.org/10.1016/j.respol.2014.10.007.

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13

Romanov, Dmitry, Alexander Gerashchenko, and Valery Shaposhnikov. "Synergism of Scientific Teams in the Reflection of Scientometrics." Science Management: Theory and Practice 5, no. 1 (March 27, 2023): 128–41. http://dx.doi.org/10.19181/smtp.2023.5.1.8.

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The purpose of the study is to identify and substantiate the criteria for synergistic interaction of employees within the research team. The object of research is the scientific activity of micro–collectives (department collectives), the subject of research is the success of cooperation within collectives. Scientific cooperation is an important factor in increasing the success (efficiency) of research activities and obtaining high-quality scientific results. Efficiency of any activity, including research activity, is increased by means of synergistic interaction (the results of which can be presented as 1 + 1> 2). The authors consider synergistic interaction as a way of performing research activities by scientific teams based on cooperation as a factor in obtainingresults impossible without this interaction. The parameters reflecting the synergism of the research activities of scientific teams are its criteria as the subject of the specified activity (first of all, organizational readiness). Taking into account these parameters, the analysis of research activity results (reflected in publication activity and citation rate) achieved by academic researchers from higher educational institutions of the Krasnodar Territory (one of the federal subjects of Russia) is performed. The authors present their models and methods for the assessment of synergistic interaction within scientific teams. Primary mathematical modelsbased on set theory are proposed for the scientific team and its activities. Some difficulties in assessing the synergism of scientific teams – the impossibility to accurately assess the rating of scientific publications, malfunction of automated scientometric databases, problems with identifying the specific contribution of each author’s specific contribution, faked scientific activity, retraction of publications – are noted. Methodological foundations of the research: synergetic approach (considers scientific cooperation as a synergistic process leading to an increase in the effectiveness of research activities), systematic approach (considers the diagnosis of scientific cooperation as an integral component of monitoring research activities), sociological approach (considers the research team as a social system and environment for a researcher), qualimetric approach (proclaims the need for multi-criteria diagnostics of synergistic interaction within a research team) and probabilistic-statistical approach (considers the diagnosis of scientific cooperation as a statistical measurement based on the processing of primary information). Research methods: analysis of scientific literature, modeling, methods of set theory and graphs, methods of qualimetry, methods of mathematical statistics, including the method of rocky scree, on the basis of which the well-known Hirsch index iscalculated, methods of linear algebra.
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14

Uhlmann, Eric Luis, Charles R. Ebersole, Christopher R. Chartier, Timothy M. Errington, Mallory C. Kidwell, Calvin K. Lai, Randy J. McCarthy, Amy Riegelman, Raphael Silberzahn, and Brian A. Nosek. "Scientific Utopia III: Crowdsourcing Science." Perspectives on Psychological Science 14, no. 5 (July 2019): 711–33. http://dx.doi.org/10.1177/1745691619850561.

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Most scientific research is conducted by small teams of investigators who together formulate hypotheses, collect data, conduct analyses, and report novel findings. These teams operate independently as vertically integrated silos. Here we argue that scientific research that is horizontally distributed can provide substantial complementary value, aiming to maximize available resources, promote inclusiveness and transparency, and increase rigor and reliability. This alternative approach enables researchers to tackle ambitious projects that would not be possible under the standard model. Crowdsourced scientific initiatives vary in the degree of communication between project members from largely independent work curated by a coordination team to crowd collaboration on shared activities. The potential benefits and challenges of large-scale collaboration span the entire research process: ideation, study design, data collection, data analysis, reporting, and peer review. Complementing traditional small science with crowdsourced approaches can accelerate the progress of science and improve the quality of scientific research.
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15

Morgun, A. N., and A. P. Oettinger. "Assessing the performance of scientific schools using bibliometric mapping." Methodology and technology of continuing professional education 1, no. 5 (2021): 38–53. http://dx.doi.org/10.24075/mtcpe.2021.004.

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The paper deals with the problems of detection and objective assessment of the activities of scientific schools. On the example of the domestic herniological surgical school, objective criteria for the correspondence of scientific teams to the status of a "scientific school" are proposed. A method is proposed for tracking the activities of research teams as scientific schools based on publication activity reflected in the leading international citation indices and using bibliometric mapping methods.
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16

Lehr, William. "COMMUNICATING STUDY RESULTS OF SCIENTIFIC TEAMS IN LARGE SPILLS." International Oil Spill Conference Proceedings 2014, no. 1 (May 1, 2014): 1141–48. http://dx.doi.org/10.7901/2169-3358-2014.1.1141.

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ABSTRACT A large oil spill is not simply a physical phenomenon. Those communicating scientific information about a major incident need to be keenly aware of the political, media, and legal consequences of any scientific communications, something the author learned while co-leading two expert teams during the Deepwater Horizon oil spill to (1) estimate the flow rate by Particle Image Velocimetry (PIV) and (2) determine the early fate of the oil (Oil Budget Calculator or OBC). Unlike past experience at smaller incidents, reports to the unified command were often transmitted to third parties such as politicians, single-issue lobbies, and various media. Assumptions about the receiver's technical background and neutrality that were valid for unified command were often not applicable to these other groups. This resulted in sound scientific conclusions being sometimes misunderstood, misreported or misused. Resources then had to be dedicated to correcting the misinformation, an often more difficult task than generating the information itself. Based upon this experience, the following lessons learned are recommended:(1)Carefully pick scientific team members based upon not only expertise but also the ability to function within group constraints and unified command rules. The eccentric scientist can be a valid stereotype but emergency events require each individual to subordinate his/her personal ego to team goals. Special interest groups and media organizations may attempt to enlist individual team members to their cause, causing discord within the group. The PIV team members in particular were subject to media invitations to disclose inner discussions and divisions among the members.(2)Vet results not only with Unified Command but also with team members by written agreement prior to public release. Private squabbling over obscure technical points, typical between academic researchers, will be magnified by the press if made public before the points are resolved.(3)Carefully write scientific conclusions to lessen the risk that individuals and organizations may misinterpret or spin the results to their own interest. Both the PIV and OBC teams suffered some misinterpretation of their results by non-scientists, a consequence that might have been reduced if the result limitations had been more clearly identified and explained in laymen terms.
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17

Woodruff, Teresa K. "Ingredients of Scientific Success: People, Ideas, Tools, and Teams." Endocrinology 160, no. 6 (May 15, 2019): 1409–10. http://dx.doi.org/10.1210/en.2019-00332.

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18

Xu, Huimin, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric Meyer, and Ying Ding. "The impact of heterogeneous shared leadership in scientific teams." Information Processing & Management 61, no. 1 (January 2024): 103542. http://dx.doi.org/10.1016/j.ipm.2023.103542.

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19

Shen, Na, Xiaodong Duan, and Yindi Yao. "Popularizing Science Among the Grassroots: Development, Existing Problems, and Countermeasures." Scientific and Social Research 5, no. 10 (October 30, 2023): 91–96. http://dx.doi.org/10.26689/ssr.v5i10.5450.

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The issue of improving scientific literacy has always been a social concern, and the formation of science communication teams plays an important role in improving scientific literacy. This paper examines the current state of domestic science communication teams, highlights issues in their construction, and offers suggestions for enhancing these teams. These suggestions include developing a sound management system, strengthening industry communication,enhancing public services, and drawing upon the management expertise of other science communication venues.
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20

Kudryavtsev, Vladimir N. "Freedom of scientific creativity." Gosudarstvo i pravo, no. 2 (2022): 28. http://dx.doi.org/10.31857/s102694520018752-8.

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In the article, the author considers the scientific work of a scientist as a complex multifaceted phenomenon aimed at expanding human knowledge of the world. High achievements in science, which have the criteria of value and novelty, are possible due to the creation of a comfortable environment for the researcher, including access to information resources, technologies, a friendly atmosphere in research teams, qualified personnel, and external funding. The author highlights the main historical stages in the development of the scientific worldview, including periods of “withering away of law”, party and ideological attitudes, the impact of which had a negative impact on the freedom of scientific creativity of scientists in our country. Formulated the prerequisites and conditions for ensuring the freedom of scientific creativity, which can be achieved not only due to the personal abilities of a scientist, but also by highlighting new areas of research in the field of human rights, Economic Law, and modern methods of organizing the work of scientific teams. The participation of scientists in the fulfillment of state orders, in particular the work on the text of the Constitution of 1977, testified not only to the unification of the efforts of the state and science aimed at the development of the country, but was of particular importance for the manifestation of the scientific potential of scientists.
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21

Hoegberg, Alexandra. "The balancing act: Leading creative teams for clear, accurate science communication." Medical Writing 33, no. 2 (June 2024): 60–63. http://dx.doi.org/10.56012/mbxw3656.

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Leading a team is inherently complex, requiring managers to juggle diverse organisational goals, meet superiors’ expectations, and cater to individual team member needs. The challenge intensifies when leading creative teams in a scientific environment. Here, bridging the apparent work-culture gap between scientific and communications disciplines is key. Leaders must ensure scientific accuracy while crafting communication that resonates with the target audience. This article dives into the specific challenges faced by medical writers and other science communication teams: achieving clear, engaging communication without com promising scientific precision. It explores the complexities of leading such creative teams within a rigorous scientific environment. Effective leadership extends beyond mere results; it cultivates a team culture that both unleashes creative potential and prioritises meticulous fact-checking. The article presents strategies for fostering a high-performing team and addresses the perceived tension between scientific rigor and audience-friendly communication.
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22

Zachosova, N. "SCIENTIFIC PROJECT TEAMS MANAGEMENT IN WARTIME REALITIES: PERSONNEL SECURITY ENSURING ASPECTS." Випробування та сертифікація, no. 1(3) (July 8, 2024): 96–101. http://dx.doi.org/10.37701/ts.03.2024.13.

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The study is devoted to the scientific project teams management in the realities of wartime and personnel security ensuring aspects. The purpose of the work was to identify features that should be taken into account by personnel management and scientific and pedagogical personnel who are heads of scientific projects during the management of project teams engaged in research work under the influence of wartime risks. The research methodology means the use of content analysis and specialized literature processing, as well as taking expert opinion on modern features of scientific project management into account. As a result of the study, features were identified that should be taken into account by managers and scientific and pedagogical staff , including heads of scientific projects, when managing project teams mission is to provide research work under the influence of wartime risks; the characteristic features of the scientific projects management in comparison with applied research were investigated; the peculiarities of the scientific project team formation are determined, personnel risks accompanying the process of implementing a scientific project both in peacetime and in wartime are determined, and proposals are made for optimizing the management of scientific projects in the realities of wartime. The peculiarities of the scientific project team formation have been established, which include: the need for a team member to belong to the work team of a scientific institution or institution of higher education, the team members' compliance with the characteristics of active researchers, their availability of professional publications on the topic of the project; search for people with scientific degrees and scientific titles and united by common scientific interests. The field of application of research results is science management, project management, flexible management and team management in scientific and educational institutions, critical infrastructure enterprises and business structures.
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23

Meng, Siyu, and Xue Zhang. "The Use of Internet of Things and Cloud Computing Technology in the Performance Appraisal Management of Innovation Capability of University Scientific Research Team." Computational Intelligence and Neuroscience 2022 (April 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/9423718.

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This study aims to speed up the progress of scientific research projects in colleges and universities, continuously improve the innovation ability of scientific research teams in colleges and universities, and optimize the current management methods of performance appraisal of college innovation ability. Firstly, the needs of the innovation performance evaluation system are analyzed, and the corresponding innovation performance evaluation index system of scientific research team is constructed. Secondly, the Internet of Things (IoT) combines the Field Programmable Gate Array (FPGA) to build an innovation capability performance appraisal management terminal. Thirdly, the lightweight deep network has been built into the innovation ability performance assessment management network of university scientific research teams, which relates to the innovation performance assessment index system of scientific research teams. Finally, the system performance is tested. The results show that the proposed method has different degrees of compression for MobileNet, which can significantly reduce the network computation and retain the original recognition ability. Models whose Floating-Point Operations (FLOPs) are reduced by 70% to 90% have 3.6 to 14.3 times fewer parameters. Under different pruning rates, the proposed model has higher model compression rate and recognition accuracy than other models. The results also show that the output of the results is closely related to the interests of the research team. The academic influence score of Team 1 is 0.17, which is the highest among the six groups in this experimental study, indicating that Team 1 has the most significant academic influence. These results provide certain data support and method reference for evaluating the innovation ability of scientific research teams in colleges and universities and contribute to the comprehensive development of efficient scientific research teams.
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24

Uchaev, D. V., A. E. Bobkov, V. A. Malinnikov, and Dm V. Uchaev. "Management of hyperspectral images for scientific research of small teams." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 13, no. 6 (2016): 233–48. http://dx.doi.org/10.21046/2070-7401-2016-13-6-233-248.

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25

Walsh, John P., and Nancy G. Maloney. "Collaboration Structure, Communication Media, and Problems in Scientific Work Teams." Journal of Computer-Mediated Communication 12, no. 2 (January 1, 2007): 712–32. http://dx.doi.org/10.1111/j.1083-6101.2007.00346.x.

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26

Jin, Ginger Zhe, Benjamin Jones, Susan Feng Lu, and Brian Uzzi. "The Reverse Matthew Effect: Consequences of Retraction in Scientific Teams." Review of Economics and Statistics 101, no. 3 (July 2019): 492–506. http://dx.doi.org/10.1162/rest_a_00780.

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Teamwork pervades modern production, yet teamwork can make individual roles difficult to ascertain. The Matthew effect suggests that communities reward eminent team members for great outcomes at the expense of less eminent team members. We study this phenomenon in reverse, investigating credit sharing after damaging events. Our context is article retractions in the sciences. We find that retractions impose little citation penalty on the prior work of eminent coauthors, but less eminent coauthors experience substantial citation declines, especially when teamed with eminent authors. These findings suggest a reverse Matthew effect for team-produced negative events. A Bayesian model provides a candidate interpretation.
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27

Flueh, Ernst, Michael Fisher, David Scholl, Tom Parsons, Uri Ten Brink, Dirk Klaeschen, Nina Kukowski, et al. "Scientific teams analyze earthquake hazards of the Cascadia Subduction Zone." Eos, Transactions American Geophysical Union 78, no. 15 (1997): 153. http://dx.doi.org/10.1029/97eo00097.

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28

Hage, Jerald, and Jonathon Mote. "Transformational Organizations and a Burst of Scientific Breakthroughs." Social Science History 34, no. 1 (2010): 13–46. http://dx.doi.org/10.1017/s0145553200014061.

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We use a historical case study of the Institut Pasteur to articulate the concept of the transformational organization in science, an organization with the capacity to make a large number of scientific breakthroughs in a short period of time. In considering the potential characteristics that explain a burst of scientific innovations, we attempt to move beyond the standard arguments in the management and organizational sociology literature that typically focus on complex research teams with cross-fertilization of ideas. Rather, we discuss the organizational characteristics that facilitate the development of these types of mechanisms. In doing so we address the dilemma faced by organizations seeking to assemble complex teams, that is, increasing cognitive distance. To illustrate the concept of a transformational organization, we explore the formative years of the Institut Pasteur, 1889–1919.
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29

Barnea, Nir, and Roger Laferriere. "Smart: Scientific Monitoring of Advanced Response Technologies." International Oil Spill Conference Proceedings 1999, no. 1 (March 1, 1999): 1265–67. http://dx.doi.org/10.7901/2169-3358-1999-1-1265.

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ABSTRACT SMART (Scientific Monitoring of Advanced Response Technologies) is a new monitoring program designed to provide the Unified Command with real-time field data when in situ burning and dispersants are used during oil spill response. For dispersant monitoring, SMART recommends a three-tiered approach. Tier I has visual observation by trained observers from vessels or from aerial platforms. Tier II combines visual observations with water-column sampling using a fluorometer at a single depth. Tier III expands the fluorometry monitoring to several water depths, and uses a water-quality lab. Water samples for later analysis and correlation of fluorometry readings are taken both in Tier II and Tier III. For in situ burning, SMART recommends deploying three or more monitoring teams, each equipped with a real-time particulate monitor with data-logging capability. The teams deploy downwind of the burn at sensitive locations, and report particulate concentration trends to the Unified Command.
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30

Ushakova, Y. V., D. V. Zernov, and I. V. Sitnikova. "Factors influencing the formation of creative student teams." Education and science journal 26, no. 8 (October 3, 2024): 144–73. http://dx.doi.org/10.17853/1994-5639-2024-8-144-173.

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Introduction. The research relevance is determined by the needs of Russian societal development in attracting active and talented youth to various spheres of economic and social activities. Aim. The present research aimed to identify the factors that contribute to the formation of creative student teams capable of effectively engaging in activities within the creative industry, research, scientific-technological projects, and socially significant projects. Methodology and research methods. The empirical basis of the article was the results of a sociological study on university students’ creativity using a questionnaire survey method. Through factor analysis, five groups of students were identified with conventional names: optimists, populists, versatile, disciplined, and outsiders. Results. The analysis of the research results allowed the authors to define the main parameters and present a typology of students based on their attitudes towards different types of activities, involvement in scientific and social university life, evaluations of the conditions of scientific, educational, and social activities at the university, engagement in social networks, and identification of the most crucial components of life success. Scientific novelty. On the basis of the authors’ methodology of sociological research on the creativity of university students, approaches to forming creative student teams are proposed. Practical significance. The practical significance of the article lies in the potential utilisation of the proposed methodology and the study results by teachers and specialists at universities involved in engaging students in research, creative endeavors, and socially significant projects.
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31

Lukianykhin, V., O. Lukianykhina, and V. Vovchenko. "SCIENTIFIC AND METHODICAL APPROACHES TO THE FORMATION AND EVALUATION OF TEAM WORK IN SCIENTIFIC AND EDUCATIONAL PROJECTS." Vìsnik Sumsʹkogo deržavnogo unìversitetu, no. 1 (2019): 139–48. http://dx.doi.org/10.21272/1817-9215.2019.1-19.

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The article investigates and generalizes different approaches of scientists to the definition of the concept of "team" "team building", the author's definition is formed. The process of creating a team is explored. The effectiveness of team work is investigated. Guidelines for creating teams have been created. Keywords: team, team building, performance evaluation, scientific and educational projects.
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32

Steinheider, Brigitte, and George Legrady. "Interdisciplinary Collaboration in Digital Media Arts: A Psychological Perspective on the Production Process." Leonardo 37, no. 4 (August 2004): 315–21. http://dx.doi.org/10.1162/0024094041724436.

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The complexity of digital media technologies requires artists to form teams of specialized experts integrating their contributions. Studies on interdisciplinary collaborations in organizational and scientific research-and-development teams have revealed that three processes—communication, coordination and knowledge-sharing—significantly influence their efficiency and effectiveness. This model was applied to an international and interdisciplinary digital media art production team to analyze the effects of team members' geographical dispersion, differing nationalities and heterogeneity of disciplines. The results are in accordance with previous studies of teams in corporate and scientific settings but also reveal differences between artistic and industrial product development processes.
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33

Zastempowski, Maciej, Aleksandra Kalocińska-Szumska, and Justyna Łaskowska. "Roles in Research Teams: The Perspective of University Commercialisation." Management 1 (April 19, 2024): 106–37. http://dx.doi.org/10.58691/man/186076.

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Although the investigation of team roles has been a focus of scientific research over an extended period, one of the less recognised issues in this area is the functioning of research teams, especially in commercialising their scientific results. Drawing from a comprehensive examination of the literature and the concept of ‘The A-to-F Model’ by de Bes and Kotler, this paper aims to broaden the knowledge about the research team’s roles and their influence on commercialising their results. To do this, in the empirical part, we use the data from a study of 496 scientists from one of the leading research universities in Poland. The results of the estimated probit regression models showed the inconsistency with ‘The A-to-F Model’. Only two of the six roles, i.e., creator and executor, are essential. The activator, browser, developer, and facilitator were statistically insignificant.
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ILIE, Marcel, and Augustin Semenescu. "MODELING OF THE HUMAN RESOURCES AS DYNAMICAL SYSTEMS." ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES 13, no. 1 (2021): 17–24. http://dx.doi.org/10.56082/annalsarscieng.2021.1.17.

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This research concerns the modelling of human resources as dynamical systems. Generally team work is distributed among the members of the team which have a common goal. However, the complex interactions of the team’s members may lead to successful or unsuccessful completion of the tasks. For scientific research, where international teams may work together on common project, the interaction among team members defines the successful completion of the project. However, the team’s dynamics is a cumbersome one and poses significant challenges. In this research we propose a computational model which models the team’s dynamics as a dynamic systems.
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35

Kolisnichenko, V., S. Zamrozevych-Shadrina, I. Shaparenko, N. Semal, and O. Yudenko. "Pedagogical conditions for uniting sports teams in wartime." Scientific Journal of National Pedagogical Dragomanov University. Series 15. Scientific and pedagogical problems of physical culture (physical culture and sports), no. 5(150) (May 27, 2022): 49–53. http://dx.doi.org/10.31392/npu-nc.series15.2022.5(150).11.

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Taking into account the results of the analysis of scientific-methodical, special and reference literature (monitoring of Internet resources) it is established, that the issue of development (modeling) of pedagogical conditions for comprehensive training of wrestlers (men), who specialize in Greco-Roman wrestling – is devoted to an insufficient number of scientific and methodological works, which requires further research and emphasizes the relevance and practical component of the chosen direction of scientific research. The main purpose of the study is to develop and test the pedagogical conditions for uniting members of the national teams of Ukraine in Greco-Roman wrestling (men), as well as organizing their training process in a safe location under war rescue. During the empirical study, members of the research group used the following methods: analysis and synthesis (abstraction), induction (deduction), modeling, mathematical and statistical (correlation analysis, factor analysis), etc. As a result of empirical research, members of the research group developed and tested the pedagogical conditions for uniting members of the national teams of the regions of Ukraine in Greco-Roman wrestling (men), which ensured quality organization of their training process in a safe location under war rescue. Our proposed organizational and pedagogical conditions provided for the passage of the studied fighters three main blocks (with appropriate educational and methodological and administrative support): organizational and diagnostic, corrective and constant. It is established that the balanced and phased use of the above organizational and pedagogical conditions contributed to the cohesion of the sports team, as well as increased individual psychophysical level of readiness of wrestlers of the studied category to compete in war rescue. Prospects for further scientific research in the chosen direction include the development of individual programs to maintain the optimal level of psychophysical readiness of combatants to continue systematic training (competitive activities) after war rescue.
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Kozhina, Veronika Olegovna, Ilona Vitalievna Chernaya, Elena Yurievna Orlova, Victoria Victorovna Levchenko, and Igor Vladimirovich Kurtynov. "Economic and legal aspects of international scientific and technical cooperation." LAPLAGE EM REVISTA 7, Extra-B (May 13, 2021): 7–14. http://dx.doi.org/10.24115/s2446-622020217extra-b842p.7-14.

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The study is devoted to the systematization of the economic and legal aspects of international scientific and technical cooperation. The implementation of international scientific and technical cooperation opens up new opportunities for additional funding, which, in turn, makes it possible to bring scientific cooperation to a qualitatively new level, as well as obtain more significant results from the joint work of teams with diverse competencies. Equal cooperation between the foundations of the parties providing support on a competitive basis to the most active and competitive teams carrying out research at a high international level can help in the implementation of the most ambitious scientific tasks. As a coordination mechanism of bilateral agreements, a mixed commission on scientific and technical cooperation should be formed, in which both parties are represented and which has a certain potential to ensure the development of scientific and technical cooperation.
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37

Bechara, John, and Ramin Vandaie. "Strategic organization of scientific research teams in response to a crisis." Academy of Management Proceedings 2021, no. 1 (August 2021): 14596. http://dx.doi.org/10.5465/ambpp.2021.14596abstract.

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38

Adams, James D., Grant C. Black, J. Roger Clemmons, and Paula E. Stephan. "Scientific teams and institutional collaborations: Evidence from U.S. universities, 1981–1999." Research Policy 34, no. 3 (April 2005): 259–85. http://dx.doi.org/10.1016/j.respol.2005.01.014.

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39

Zielińska, Agnieszka. "SHARING LEADERSHIP TASKS IN DISTRIBUTED TEAMS." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 21, no. 3 (September 30, 2020): 181–94. http://dx.doi.org/10.5604/01.3001.0014.4517.

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This article concerns work in dispersed teams, and particularly the sharing of leadership tasks through members of such teams. The research tool created on the scientific literature was presented (questionnaire). This tool was used in the pilot study, which covered 5 teams of various degrees of dispersion, formed by 47 people. The results of the study made it possible to conclude that knowledge sharing is the most shared leadership task. Moreover, a correlation between the degree of shared leadership tasks and the degree of team dispersion was discovered
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40

Ilinykh, Tatiana Valentinovna. "The role of academic advisors of student research teams in shaping student engagement in research and learning ownership in Russian universities." Pedagogy. Issues of Theory and Practice 8, no. 8 (August 23, 2023): 792–801. http://dx.doi.org/10.30853/ped20230119.

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The purpose of this article is to determine the role of an academic advisor of student research teams in shaping student engagement in research and learning ownership in universities. The scientific novelty of the study lies in the identification of the roles of an academic advisor of student research teams in the formation of engagement and ownership; characterizing the process of organization of an academic advisor’s work, depending on the level of the motivational, cognitive, operational, reflexive and volitional spheres of students; determining difficulties in students’ taking ownership and recommendations for overcoming them through various methods aimed at promoting students’ motivation and ownership. The study has scientific value, as it allows for a deeper understanding of the role of an academic advisor in shaping student engagement and ownership in universities. Various aspects of scientific advising are discussed, including methods for motivating and supporting students, creating conditions for professional growth and personal development, and organizing student teams at different stages of research activity. The result of the study is a revised list of an academic advisor’s roles in shaping learning ownership and developing motivation. It is concluded that creating favorable conditions for the development of students’ creative potential is required to ensure the efficient operation of student research teams. To achieve this, an effective organization of academic advisors’ work is necessary, as the latter will constantly develop students’ scientific thinking and culture.
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41

Bhavnani, Suresh K., Shyam Visweswaran, Rohit Divekar, and Allan R. Brasier. "Towards Team-Centered Informatics: Accelerating Innovation in Multidisciplinary Scientific Teams Through Visual Analytics." Journal of Applied Behavioral Science 55, no. 1 (November 5, 2018): 50–72. http://dx.doi.org/10.1177/0021886318794606.

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A critical goal of multidisciplinary scientific teams is to integrate knowledge from diverse disciplines for the purpose of developing novel insights and innovations. For example, multidisciplinary translational teams (MTTs) which typically include physicians, biologists, statisticians, and informaticians, aim to integrate biological and clinical knowledge leading to innovations for improving health outcomes. However, such teams face numerous barriers in integrating multidisciplinary knowledge, which is further exacerbated by the explosion of molecular and clinical data generated from millions of patients. Here, we explore the use of a visual analytical representation to help MTTs integrate molecular and clinical data with the goal of accelerating translational insights. The results suggest that the visual analytical representation functioned as a “computational evolving boundary object” which (a) evolved through several emergent states that progressively helped integrate diverse disciplinary knowledge, (b) enabled team members to play primary and supportive roles in evolving the data representation resulting in a more egalitarian team structure, and (c) enabled the team to arrive at novel translational insights leading to domain and methodology publications. However, the interventions also revealed limitations in the approach motivating new visual analytical approaches. These results suggest (a) implications for theory related to modeling computational evolving boundary objects (CEBOs) as an instance of team-centered informatics, and (b) implications for practice related to the design and use of interactive features that enable teams to fluidly evolve CEBOs through emergent states, with the goal of deriving novel insights from large multiomics datasets.
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42

Carter, Dorothy R., Raquel Asencio, Amy Wax, Leslie A. DeChurch, and Noshir S. Contractor. "Little Teams, Big Data: Big Data Provides New Opportunities for Teams Theory." Industrial and Organizational Psychology 8, no. 4 (December 2015): 550–55. http://dx.doi.org/10.1017/iop.2015.82.

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Over the past 25 years, industrial and organizational (I-O) psychologists have made great strides forward in the area of teams research. They have developed and tested meso-level theories that explain and predict the behavior of individuals in teams and teams operating within and across organizations. The continued contributions of I-O psychologists to theory and research on teams require us to address the challenges—several of which were well described in the focal article (Guzzo, Fink, King, Tonidandel, & Landis, 2015)—and embrace the opportunities that are being ushered in by big and broad data streams (Hendler, 2013). We suggest that a principal unique value add of the I-O psychologist to the basic scientific endeavor of understanding small teams comes in the form of theory—theories that explain why, when, how, and to what end individuals form relationships needed for teams to function in unison toward the accomplishment of collective goals. Some have argued that the big data revolution means “the end of theory,” suggesting petabyte data render theoretical models obsolete (Anderson, 2008). On the contrary, we submit that big-data enabled social science holds the promise of rapid progress in social science theory, particularly in the area of teams.
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43

Batura, Tatiana Viktorovna, Elena Pavlovna Bruches, and Anastasia Alekseevna Mezentseva. "INFORMATION EXTRACTION FROM SCIENTIFIC TEXTS IN RUSSIAN." System informatics, no. 19 (2021): 57–70. http://dx.doi.org/10.31144/si.2307-6410.2021.n19p57-70.

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This article describes methods for automatic term extraction and linking to Wikidata. The advantage of the proposed methods is the potential possibility of their applicability to any field of knowledge where only unmarked texts and small term dictionaries are available. To carry out the experiments, a corpus of scientific texts RuSERRC was collected and marked up. The corpus and models are published on GitHub and may be useful to other research teams.
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44

Pirozhkova, Sofia V. "Early Career Researcher: From Managerial Construct to Socio-Epistemic Reality." Epistemology & Philosophy of Science 59, no. 3 (2022): 149–65. http://dx.doi.org/10.5840/eps202259347.

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The article presents the results of the study of young scientists (early career researchers) and their role in the functioning of research teams and the academic system. It shows why this topic has not only applied relevance connected with the theoretical justification of science policy but also concerns fundamental issues of philosophy of science. The nature of the structural organization of scientific teams and the scientific community as a whole is discussed. It is argued that science shares with other social institutions a socio-epistemic hierarchy, involving the division of participants into more and less experienced ones, performing certain functions in accordance with the available amount of knowledge and skills. It is shown that this hierarchy is supported by the system of division of labor in science, but does not lead to the formation of a rigid structure, which is reflected in the mismatch of social and cognitive hierarchies of research teams. It is also shown that the contribution of young scientists to the overall scientific result can not only be great due to the appearance of young geniuses. Scientific youth performs a number of cognitive and social functions that are system-forming and are not duplicated at other levels of the scientific hierarchy. These functions may undergo changes depending on the general state of both a separate research area and the scientific system as a whole. This makes the research of scientific youth promising for studying the transformations of science as a social institution and a cultural and historical phenomenon, in particular, for analyzing scientific communications that constitute the scientific community as a collective subject of scientific knowledge, and changes in scientific ethos.
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45

Serebryakova, Yuliya V., and Nadezhda V. Zaitseva. "ommunication of Management Teams of Pedagogical Universities and Institute of Educational Development in the Implementation of Additional Professional Education Programs: Scientific and Methodological Aspect." Siberian Pedagogical Journal, no. 4 (September 7, 2023): 56–63. http://dx.doi.org/10.15293/1813-4718.2304.06.

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The article discusses the main approaches to the implementation of additional professional education programs for management teams of educational organizations in the implementation of a dynamic cluster model of scientific and methodological interaction of the Pedagogical University and the Institute of Educational Development of the Khabarovsk Territory. The research is based on the hypothesis that the program of additional professional education of management teams of educational institutions jointly developed and implemented by the AMHPSU and HC IRO will increase the effectiveness of the formation of universal, professional and subject-methodical competencies. The purpose of the article is to study the problem of communication between the management teams of a pedagogical university and the Khabarovsk Territory Institute of Educational Development on the development and implementation of additional professional education programs for the management teams of educational organizations of general education. Methodology and methods of research. The article presents materials for studying the needs of representatives of management teams of a pedagogical university, IRO and educational organizations of general education in order to develop and implement a program of additional professional education for management teams of educational organizations within the framework of testing a dynamic cluster model of scientific and methodological interaction of a pedagogical university and the institute of educational development. The conclusion concludes that well-structured communication between the management teams of a pedagogical university and an Institute of Educational Development can become one of the conditions for the development and implementation of an additional professional program for the management teams of educational institutions of general education.
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46

Specht, Alison, and Kevin Crowston. "Interdisciplinary collaboration from diverse science teams can produce significant outcomes." PLOS ONE 17, no. 11 (November 29, 2022): e0278043. http://dx.doi.org/10.1371/journal.pone.0278043.

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Scientific teams are increasingly diverse in discipline, international scope and demographics. Diversity has been found to be a driver of innovation but also can be a source of interpersonal friction. Drawing on a mixed-method study of 22 scientific working groups, this paper presents evidence that team diversity has a positive impact on scientific output (i.e., the number of journal papers and citations) through the mediation of the interdisciplinarity of the collaborative process, as evidenced by publishing in and citing more diverse sources. Ironically these factors also seem to be related to lower team member satisfaction and perceived effectiveness, countered by the gender balance of the team. Qualitative data suggests additional factors that facilitate collaboration, such as trust and leadership. Our findings have implications for team design and management, as team diversity seems beneficial, but the process of integration can be difficult and needs management to lead to a productive and innovative process.
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47

Kavroudakis, D., N. Soulakellis, K. Topouzelis, S. Chatzistamatis, C. Vasilakos, A. Papakostantinou, G. Tataris, et al. "EFFICIENCY AND EFFECTIVENESS APPROACHES IN SPATIAL DATA COLLECTION OF VRISA AFTER LESVOS EARTHQUAKE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 277–81. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-277-2018.

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<p><strong>Abstract.</strong> Efficient and effective spatial data collection is crucial in cases of catastrophic events. Resources efficiency and project effectiveness are two aspects that need special attention especially when there are spatial and temporal constraints. There is limited literature regarding efficiency and effectiveness in spatial data collection approaches. This work elaborates on the collection of spatially-aware data from a diverse scientific group of teams after the catastrophic earthquake of Mw&amp;thinsp;=&amp;thinsp;6.3 in Vrisa village, Lesvos island in Greece in June 2017. More specific we deal with challenges faced by six teams of experts (Topographic team, House conditions data collection team, Unmanned Aerial Vehicle team, 3D Laser Scanner team, Photogrammetry team and Privacy team). The scientific teams had to collect accurate spatial data for the same area, during a period of 20 days after the earthquake. That was a challenging task due to restrictions in the area and complexity/diversity of spatial data. We present the methodological approaches followed for efficient and effective data-capturing, and we propose a framework of team/data management under concurrent data collection by scientific teams after catastrophic events such as earthquakes.</p>
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48

Osipova, E. V., and T. G. Smirnova. "The Main Barriers to Increasing the Effectiveness of Competitive Public Procurement of Research Research (Results of a Sample Survey of Government Customers)." Russian competition law and economy, no. 3 (August 20, 2021): 50–57. http://dx.doi.org/10.47361/2542-0259-2020-3-23-50-57.

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The article authors emphasizes objective and subjective factors of public procurements efficiency reduction. This review are based on state customers for research and development survey results. The authors states the proposals for involving larger number of participants for competitive procurements including temporary creative teams and individual scientists.According to authors, expanding the circle of tenders participants at scientific individuals and their teams expense can improve efficience of research and development public procurements by qualitative shift of competitiveness nature with priority for influence of scientific experience and potential of individual scientists (research teams) tender specification conformity assessment.Efficience improvement for research and development tenders is impossible without creation of united aggregator for such tenders. According to authors, such united aggregator creation function can be assigned to Russian Academy of Sciences or The Russian Foundation for Basic Research.
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49

Apenko, S. N., G. Z. Efimova, and M. Yu Semenov. "Formation and development of teams for strategic university transformation projects: Methodological approaches." Education and science journal 25, no. 4 (April 21, 2023): 37–69. http://dx.doi.org/10.17853/1994-5639-2023-4-37-69.

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Introduction. Today, in the conditions of constant and growing uncertainty, there is the need to develop new, up-to-date methodologies for the development of university management teams, the transformation of their activities in a new environment.Aim. The present research aims to analyse methodological approaches to the formation and development of teams working on the strategic university transformation projects that meet the needs of practice and reflect the most effective ways to create and operate university project teams.Methodology and research methods. As the scientific basis of the proposed methodological approach to the effective formation and development of teams working on the strategic projects for the transformation of universities, the main theoretical provisions of the team-based approach are determined. The main research methods involved the analysis of scientific publications on the topic under study, the grouping and classification of approaches, a deep semi-formalised interview with 76 representatives of the administrative and managerial apparatus of three large Russian universities (regional classical universities from the Volga and Siberian Federal Districts of Russia), a questionnaire survey of 78 experts.Results. International experience in studying the activities of management teams of higher education institutions was summarised. The authors identified the restrictions and possibilities of using international experience in Russian universities. The scientific and practical groundwork for the formation and development of teams for the strategic university transformation projects is presented.Scientific novelty. The authors critically analysed the existing methodological approaches to the formation and development of teams for strategic university transformation projects, which reflect the most effective ways of creating and functioning university transformation project teams.Practical significance lies in justifying a set of methodological approaches to the formation and development of project teams and checking their applicability in the practice of university implementation transformation projects. The research materials can be useful to the representatives of administrative and managerial personnel, the heads of projects and programmes for the university development, and the employees participating in projects.
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Ilyina, E. A., Yu V. Motkina, and P. V. Sushkov. "The concept of assessing the scientific and technical competencies of project teams, scientific organizations and universities using readiness levels." Economics of Science 6, no. 1-2 (March 24, 2020): 11–21. http://dx.doi.org/10.22394/2410-132x-2020-6-1-2-11-21.

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The achieved and documented innovative readiness levels of PING/TPRL in implemented or current scientific/innovative projects are proposed to use for the digital assessment of the scientific and technical competencies of the researchers/project teams/organizations with respect to innovative project implementation, along with the traditional scientific indicators of the FSMNO.A significant amount of information on scientific and technical competencies in Russian corporations and companies assumes the use of appropriate digital platforms based on artificial intelligence technology for searching and verifying information.
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