Author name: Isis Daron

Participation in ACM

On October 23, 2024, the Association for Computing Machinery (ACM) hosted a special event celebrating Ibero-American Heritage Month, reaffirming its commitment to Diversity, Equity, and Inclusion in Computing. The ELLAS project had the honor of being part of this significant moment! The highlight of the program was the panel discussion “Language as Inclusion or Exclusion: […]

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Abertura e Disponibilidade de Dados de GĂªnero sobre Liderança de Mulheres Brasileiras em TI

Gender inequality in leadership within Information Technology (IT) is an unfortunate reality. This lack of diversity affects the quality of information systems produced and the well-being of society. One strategy to combat this problem is to use information systems to analyze gender-related data on the issue in order to understand the problem for the creation

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ELLAS Architecture and Process: Collecting and Curating Data on Women’s Presence in STEM

The underrepresentation of women in STEM fields needs to be highlighted through data to assist decision-makers and public policy creators in addressing the issue effectively. However, the lack of structured, organized data published openly in this domain is still a reality. To address this problem, a Latin American research network called ELLAS was created. The

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AutossuficiĂªncia na Plataforma ELLAS: Sistema Avançado de IntegraĂ§Ă£o de Grafos de Conhecimento

Presentation of the Final Graduation Project proposal from UTFPR, by students Andrea Oquendo, Fernanda Neto, and Patricia Turato, from Computer Engineering. “Self-Sufficiency in the ELLAS Platform: Advanced Knowledge Graph Integration System” is a project aimed at developing an automated data curation system for new data to be integrated into the ELLAS platform’s knowledge graph, ensuring

AutossuficiĂªncia na Plataforma ELLAS: Sistema Avançado de IntegraĂ§Ă£o de Grafos de Conhecimento Read More »

A Escassez de Dados Abertos sobre mulheres nas STEM na América Latina

The video discusses the issue of open data with a gender focus in STEM areas. It covers the research conducted through UNESCO platforms, which were supposed to visualize Latin America and provide data that could help increase the visibility of these women. The challenges encountered while using both UNESCO open data platforms are then discussed,

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A Escassez de Dados Abertos Estruturados em PaĂ­ses Latino-Americanos com Enfoque de GĂªnero na EducaĂ§Ă£o Superior

This article analyzes the scarcity of structured open data in Latin American countries with a gender focus in STEM areas, through research on open data platforms related to Higher Education. In this regard, the challenges of obtaining such data are discussed, emphasizing the effort required to ensure that existing data can be reused and integrated,

A Escassez de Dados Abertos Estruturados em PaĂ­ses Latino-Americanos com Enfoque de GĂªnero na EducaĂ§Ă£o Superior Read More »

ElaboraciĂ³n de una ontologĂ­a para abordar la presencia de las mujeres en los cursos de informĂ¡tica en Brasil

The presence of women in STEM (Science, Technology, Engineering, and Mathematics) has been gaining relevance. However, research on the subject faces challenges due to the lack of data needed for building consistent analyses. The ELLAS Network (Equality for Leadership in Latin American STEM) aims to develop a Linked Open Data (LOD) platform to help fill

ElaboraciĂ³n de una ontologĂ­a para abordar la presencia de las mujeres en los cursos de informĂ¡tica en Brasil Read More »

EvoluciĂ³n de las leyes laborales que protegen a las mujeres en Bolivia

This work presents the evolution of the construction of institutions aimed at providing equal employment opportunities for men and women in Bolivia. It places special emphasis on identifying national regulations (laws, supreme decrees, international agreements, and formal state regulations) that encourage integration into the labor market in STEM areas (Science, Technology, Engineering, and Mathematics). Authors:NicolĂ¡s

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Estudio comparativo de herramientas de modelizaciĂ³n, almacenamiento e integraciĂ³n de datos en la web semĂ¡ntica para la plataforma de red ELLAS

The layered architecture of the World Wide Web (W3C) defines standards, technologies, languages, and methods necessary to build applications involving the semantic web. Based on this W3C semantic web architecture, the data modeling for the ELLAS network platform (Equality in Leadership for Latin American STEM) was developed. ELLAS aims to map the policies and contextual

Estudio comparativo de herramientas de modelizaciĂ³n, almacenamiento e integraciĂ³n de datos en la web semĂ¡ntica para la plataforma de red ELLAS Read More »

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