Intellectual property became a relevant academic cross-disciplinary field in an international context with the demand for the global governance of knowledge. However, the degree of consolidation of cross-disciplinary academic communities is not clear. To determine how closely related are these communities, this paper proposes a mixed methodology to find invisible colleges in the production of intellectual property. Scientific articles from 1994 to 2016 were extracted from Web of Science, taking into account the signature of the agreement on Trade-Related Aspects of Intellectual Property Rights in the early 90's. A total of 1,580 papers were processed through bibliographic coupling network analysis. A special technique was applied, which combines algorithms of community detection and defines a population of articles through thresholds of shared references. To contrast the invisible colleges that emerged with the existence of formal institutional relations, a qualitative tracking of the authors was made with respect to their institutional affiliation, lines of research, and meeting places. Both methods show that the subjects of interest can be grouped into 13 thematic modules related to the intellectual property field. Even though most are related to Law and Economics, there are weak linkages between disciplines which could indicate the construction of a cross-disciplinary field.
The scarce public policy funds demand cost-effective outputs and more innovative forms to inform decision making. During the last years, there has been increasing use of Big Data for research and policymaking by international development institutions. For this reason, the main objective of the present work is to propose a framework to apply Big Data in a high-relevance program for science policy in Mexico, which assesses the researchers' performance. Social sciences are considered the most difficult area to assess, due to there is no theoretical-methodological consensus and the academic impact is difficult to determine because social sciences do not exhibit long term development. Instead, there are a plurality of paradigms or changing topics that do not have consensus among the academic community. In this regard, this work outlines a framework, which includes indicators of the social contribution of science since computational tools should have an orientation.
Las publicaciones científicas en estudios de género desde diferentes disciplinas se han incrementado a nivel mundial y esto ha provocado que se caracterice como un campo interdisciplinario. Este trabajo presenta un panorama general para observar cómo está estructurado este campo en México, a partir del análisis de las publicaciones en revistas indizadas en Web of Science y técnicas bibliométricas. Los resultados muestran que los estudios de género presentan una gran especificidad por la manera en que emergieron, puesto que se realizan desde distintas disciplinas consolidadas que no dialogan entre sí (no hay interdisciplina), lo cual provoca fragmentación y la ausencia de comunidades científicas con agendas de investigación comunes. Estos fenómenos no sólo se deben a la falta de reconocimiento de la especificidad de este campo, sino también a su falta de institucionalización, y afectan la evaluación del desempeño de quienes se dedican de manera exclusiva a los estudios de género.
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