The latent structure of global scientific development

Miao, Lili; Murray, Dakota; Jung, Woo-Sung; Larivière, Vincent; Sugimoto, Cassidy R.; Ahn, Yong‐Yeol

doi:10.1038/s41562-022-01367-x

Cited by 29 publications

(12 citation statements)

References 52 publications

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“…The relation of the generation of patents and city wealth measured as the GDP per capita has been established [57] via careful geolocalization of the published patents and fine spatial grid GDP that allows one to compute the metropolitan area GDP with some accuracy. The strong interdependence of scientific production, patent generation and technological productions has already been shown [58,59]; hence, predicting innovation potential from citizen behavior patterns gives additional insights into city potential for sustained growth. The work reported in this paper is in line with works that relate the city innovation value (measured by number of patents) with the activity of people, specifically the mobility of researchers [60] in between companies and the cities that host them.…”

Section: Discussionmentioning

confidence: 99%

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

Muñoz-Cancino

Ríos

Graña

2023

Sensors

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The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption habits, communication patterns and other individual-level activities can significantly impact large-scale urban characteristics, such as the potential for innovation generation of the city. Conversely, large-scale urban characteristics can also constrain and determine the activities of their inhabitants. Therefore, understanding the interdependence and mutual reinforcement between micro- and macro-level factors is critical to defining effective public policies. The increasing availability of digital data sources, such as social media and mobile phones, has opened up new opportunities for the quantitative study of this interdependency. This paper aims to detect meaningful city clusters on the basis of a detailed analysis of the spatiotemporal activity patterns for each city. The study is carried out on a worldwide city dataset of spatiotemporal activity patterns obtained from geotagged social media data. Clustering features are obtained from unsupervised topic analyses of activity patterns. Our study compares state-of-the-art clustering models, selecting the model achieving a 2.7% greater Silhouette Score than the next-best model. Three well-separated city clusters are identified. Additionally, the study of the distribution of the City Innovation Index over these three city clusters shows discrimination of low performing from high performing cities relative to innovation. Low performing cities are identified in one well-separated cluster. Therefore, it is possible to correlate micro-scale individual-level activities to large-scale urban characteristics.

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Section: Discussionmentioning

confidence: 99%

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

Muñoz-Cancino

Ríos

Graña

2023

Sensors

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“…Although numerous studies have noted the frequent collaboration between SACs (Gazni, Sugimoto & Didegah, 2012; Wagner et al, 2001), the collaboration between SLCs is less well documented, let alone in data papers. Given that the majority of SLCs are in the Global South, which is shown to have comparative advantages in disciplines related to natural resources and infectious diseases (Miao et al, 2022), it would be interesting to investigate how the observed collaboration patterns in data papers vary by discipline.…”

Section: Preliminary Findingsmentioning

confidence: 99%

A Preliminary Analysis of Geography of Collaboration in Data Papers by S&T Capacity Index

Chen

Jiao

2022

Proceedings of the Association for Information Science and Tech

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Geography is one of the defining factors in scientific collaboration. Despite the voluminous evidence for how geographical proximity shapes the formation of collaboration in research articles, it has been rarely examined in the emerging genre of data papers, one that describes research data and has enjoyed growing attention in the data‐driven paradigm of research. This poster presents preliminary findings from our project that aims to evaluate the geographical dynamics behind the production of data papers. We analyze how researchers from different countries collaborate with one another using 6,821 data papers published in Scientific Data and Data in Brief between 2014 and 2020. We found that data papers rely heavily upon domestic collaboration and the collaboration pattern largely mirrors that of research articles, although some distinctiveness was also observed. We discuss future work in conclusion, with the ultimate goal of opening a more meaningful conversation about the relationship between the data‐driven paradigm and knowledge production.

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“…Since the end of the 1990s and in the wake of the Cold War, research publication volume has significantly increased globally and scientific progress has been rapid. Not only have advancements and growth come from Western countries, but also from other parts of the world such as Asia, and China in particular (Miao et al, 2022). In Latin America and the Middle East scientific development is also clearly evident.…”

Section: Introductionmentioning

confidence: 99%

Research integrity and security: Exploring funding agency roles in supporting responsible internationalization and reciprocity - Insight paper

Shih¹

2023

Preprint

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- An increasingly complex geopolitical landscape puts more emphasis on national interests.- The pressures from knowledge securitization need to be handled in order to alsomeaningfully address the needs and opportunities presented by global scientificcollaboration.- Research integrity, ethics, research security, knowledge securitization, equity, andresponsible internationalization need to be considered in tandem. Rather than discussing these notions separately this paper focuses on the importance of managing them in an integrated manner.- Both a simplified picture of the situation for global research networks as well as more granular descriptions of pertinent issues, such as reciprocity, are needed in order to inform the discussion on how integration may be developed.

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The latent structure of global scientific development

Cited by 29 publications

References 52 publications

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

A Preliminary Analysis of Geography of Collaboration in Data Papers by S&T Capacity Index

Research integrity and security: Exploring funding agency roles in supporting responsible internationalization and reciprocity - Insight paper

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