Highlights of the 1st Latin American Conference of Women in Bioinformatics and Data Science-Reference-Cited by-同舟云学术

Highlights of the 1st Latin American Conference of Women in Bioinformatics and Data Science

Published:2021-08-11 Issue:3 Volume:2 Page:99-102
ISSN:2578-6970
Container-title:The Biophysicist
language:en
Short-container-title:

Author:

Jiménez Lucy¹,Conteville Liliane Costa²,Feldfeber Ivana³,Didier Mercedes Garnham⁴,Stegmayer Georgina⁵,Marino-Buslje Cristina⁶,Rueda Ana Julia Velez⁷

Affiliation:

1. Universidad de Los Andes, Cra. 1 18a-12, 111171 Bogotá, Colombia

2. Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, 21040-900 Rio de Janeiro, Brazil

3. Observatorio de Datos con Perspectiva de Género, 1428 Buenos Aires, Argentina

4. Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. 25 de Mayo 1301-1367, Villa Lynch, 6660 Buenos Aires, Argentina

5. Research Institute for Signals, Systems and Computational Intelligence, FICH-UNL, CONICET, Ciudad Universitaria UNL, 3000 Santa Fe, Argentina

6. Fundación Instituto Leloir, C1405BWE Buenos Aires, Argentina

7. Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, CONICET, Roque Sáenz Peña 352, Bernal B1876BXD Buenos Aires, Argentina

Publisher

Biophysical Society

Link

https://meridian.allenpress.com/the-biophysicist/article-pdf/2/3/99/2983209/i2578-6970-2-3-99.pdf

Reference18 articles.

1. Shen, H. 2013. Inequality quantified: mind the gender gap. Nature495(7439): 22– 24.

2. Larivière, V., Ni C., Gingras Y., Cronin B., and SugimotoC. R. 2013. Bibliometrics: global gender disparities in science. Nature504(7479): 211– 213.

3. UNESCO Institute for Statistics. 2019. Fact Sheet No. 55: Women in Science. UNESCO Institute for Statistics, Montreal, Canada.

4. Merchán, M. L. M. 2019. La sociedad del conocimiento y las brechas de género en ciencia, tecnología e innovación. Cuad Latam de Admón15(29): 74– 86.

5. Wodon, Q., and de la BrièreB. 2018. Unrealized Potential: The High Cost of Gender Inequality in Earnings. The World Bank, Washington, DC.

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1. Women in bioinformatics & data science - Latin America;MethodsX;2022