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@article{Xu2021,

title = {Exploring the Interdisciplinary Nature of Precision Medicine：Network Analysis and Visualization},

author = {Xin Xu and Jiming Hu and Xiaoguang Lyu and Huang He and Cheng Xingyu },

doi = {10.2196/23562 },

year  = {2021},

date = {2021-01-11},

urldate = {2021-01-11},

journal = {JMIR Medical Informatics},

abstract = {The aim of this study is to present the nature of interdisciplinary collaboration in precision medicine based on co-occurrences and social network analysis. A total of 7544 studies about precision medicine, published between 2010 and 2019, were collected from the Web of Science database. We analyzed interdisciplinarity with descriptive statistics, co-occurrence analysis, and social network analysis. An evolutionary graph and strategic diagram were created to clarify the development of streams and trends in disciplinary communities. The results indicate that 105 disciplines are involved in precision medicine research and cover a wide range. However, the disciplinary distribution is unbalanced. Current cross-disciplinary collaboration in precision medicine mainly focuses on clinical application and technology-associated disciplines. The characteristics of the disciplinary collaboration network are as follows: (1) disciplinary cooperation in precision medicine is not mature or centralized; (2) the leading disciplines are absent; (3) the pattern of disciplinary cooperation is mostly indirect rather than direct. There are 7 interdisciplinary communities in the precision medicine collaboration network; however, their positions in the network differ. Community 4, with disciplines such as genetics and heredity in the core position, is the most central and cooperative discipline in the interdisciplinary network. This indicates that Community 4 represents a relatively mature direction in interdisciplinary cooperation in precision medicine. Finally, according to the evolution graph, we clearly present the development streams of disciplinary collaborations in precision medicine. We describe the scale and the time frame for development trends and distributions in detail. Importantly, we use evolution graphs to accurately estimate the developmental trend of precision medicine, such as biological big data processing, molecular imaging, and widespread clinical applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Elie2021,

title = {The different types of renewable energy finance: A Bibliometric analysis},

author = {Luc Elie and Caroline Granier and Sandra Rigot},

doi = {https://doi.org/10.1016/j.eneco.2020.104997},

year  = {2021},

date = {2021-01-01},

journal = {Energy Economics},

number = {104997},

abstract = {This article surveys the academic research dedicated to the different types of renewable energy finance. We conduct a bibliometric analysis based on the widely used database Web of Science, covering the period of 1992 to 2018. We generate a bottom-up clustering of academic articles using network analysis tools, leading us to identify 8 main clusters of publications defined by their focus on specific types of finance and their geographical and technological scope. Our main line of research is to observe the discrepancy between the importance of the funding modes in reality and their share in the literature. The critical appraisal of our results highlights that the literature does not reflect the diversity of renewable energy finance. Most studies focus on market-based policy instruments used to support renewable energy development in developed countries. Conversely, few studies of direct financing flows from the public and private sectors were found, while private sources provide an important part of renewable energy investment globally. Furthermore, the literature generally focuses on mature renewable electricity technologies (solar and wind). Our dynamic analysis reveals that private investment is an emerging subject. Overall, our result reveals significant room for development of the field.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Jensen2020,

title = {Exploring the Trading Zones of Digital STS},

author = {Torben E. Jensen},

url = {https://www.dasts.dk/wp-content/uploads/4_Trading_FV_1.pdf},

doi = {10.7146/stse.v11i1.135276},

year  = {2020},

date = {2020-12-31},

urldate = {2020-12-31},

journal = {STS Encounters - DASTS working paper series},

volume = {11},

number = {1},

abstract = {In the last couple of decades, one of the significant developments in digital STS is the rapidly growing use of digital methods and tools for data harvesting, analysis and visualization. The increasing availability and deployment of digital tools raise questions about how to develop an analytic practice that reconciles the theoretical sensibilities of STS with tools and data that may be associated with different sets of assumptions and affordances. The article explores these challenges by reporting on two related digital STS projects that were carried out at the Techno-Anthropology Lab in Copenhagen. Drawing on science historian Peter Galison{textquoteright}s notion of trading zones, the article analyzes how project participants from different communities of practice exchanged and combined tools, theories and projects in a variety of ways. The article identifies two particular trading strategies, and in the final discussion, it reflects on what these strategies might indicate about the future development of digital STS.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rikap2020b,

title = {Who collects intellectual rents from knowledge and innovation hubs? questioning the sustainability of the singapore model},

author = {Cecilia Rikap and David Flacher},

doi = {https://doi.org/10.1016/j.strueco.2020.06.004},

year  = {2020},

date = {2020-12-01},

urldate = {2020-12-01},

journal = {Structural Change and Economic Dynamics},

volume = {55},

pages = {59-73},

abstract = {While knowledge and innovation are produced in networks involving diverse actors, associated rents are greatly appropriated by global leaders, mostly coming from core countries, that become intellectual monopolies. This raises the question on emerging or peripheral countries companies’ capacity to catch-up, innovate and compete for intellectual rents. The article considers the case of Singapore who has pursued a knowledge hub strategy aimed at: 1) creating world class universities inserted in global knowledge networks of defined fields; and 2) capturing intellectual rents through those institutions’ research and contributing to local firms’ catching up. We show that research universities caught-up. However, we find that foreign companies, particularly multinationals, capture most of Singapore's intellectual rents at the expense of local companies and research institutions. Overall, our findings point to the limitations of Singapore's knowledge hub as a catching-up strategy. The article ends discussing the relevancy of these findings for emerging countries in general.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}