R-Ladies

R-Ladies is an organization that promotes gender diversity in the community of users of the R statistical programming language.[1][2][3] It is made up of local chapters affiliated with the worldwide coordinating organization R-Ladies Global.

R-Ladies
Formation2016
Typeorganization
Fieldscomputing, R, Women in STEM
Websiterladies.org

History

On October 1, 2012, Gabriela de Queiroz, a data scientist, founded R-Ladies in San Francisco (United States) after participating in similar free initiatives through Meetup.[1][4] In the following four years, three other groups started: Taipei in 2014,[5] Minneapolis (called “Twin Cities”) in 2015,[6] and London in 2016.[1][7] The chapters were independent until the 2016 useR! Conference, where it was agreed to create a central coordinating organization. In that year, Gabriela de Queiroz and Erin LeDell of R-Ladies San Francisco; Chiin-Rui Tan, Alice Daish, Hannah Frick, Rachel Kirkham and Claudia Vitolo of R-Ladies London; as well as Heather Turner joined to apply for a grant from the R Consortium, with which they asked for support for the global expansion of the organization.[8][9]

In September 2016, with this scholarship, R-Ladies Global was founded and in 2018 it was declared as a high-level project by the R Consortium.[10] As of 2019, the RLadies Global community consists of 178 groups in 48 countries.[11]

Organization

R-Ladies meetings are organized around workshops and talks, led by people that identify as female or as gender minorities (including but not limited to cis/trans women, trans men, non-binary, genderqueer, agender, pangender, two-spirt, gender-fluid, neutrois).[8][12] The organization is coordinated, but decentralized, and new chapters can be founded by anyone using the publicly available “starter-kit”.[13]

R-Ladies groups aim to promote a culture of inclusion within their events and community.[14][15] In addition, they promote gender equality and diversity in conferences,[16][17] in the workplace,[18][19][20] collaboration among gender minorities,[21] and analysis of data about women.[12][20]

R-Ladies also collaborates with other projects, such as NASA Datanauts.[22][23][16]

Gabriela de Queiroz

Gabriela de Queiroz is a chief data scientist at IBM, the founder of the global R-Ladies and AI Inclusive organizations.[24][25][26] She was raised in Brazil and received her bachelor's degree in statistics from Rio de Janeiro State University.[27] She has a master’s in epidemiology at Oswaldo Cruz Foundation and another one in statistics at California State University, East Bay.[27]

de Queiroz moved to the United States in 2012 to begin her master's degree in statistics at California State University, East Bay.[24] Interested in creating an inclusive space for women learning the programming language R, she began a Meetup group in the San Francisco Bay area.[24] Since then, the R-Ladies organization has grown to more than 178 groups in 48 countries.

In addition to her work with R-Ladies, de Queiroz is an expert in machine learning and leads IBM's AI Strategy and Innovations team.[26][28] Her team contributes to projects such as TensorFlow.[26]

Notable members

References
  1. Kopf, Dan (24 July 2019). "How R-Ladies made data science inclusive". Quartz at Work. Retrieved 2020-03-11.
  2. "Resources For Women In Data Science and Machine Learning". KDnuggets. Retrieved 2020-03-11.
  3. J, Pablo (2019-08-17). "Mujeres en la programación ¿Cual es la expectativa de mercado?". Puro-Geek (in Spanish). Retrieved 2020-03-11.
  4. Chan, Rosalie. "This IBM manager moved from Brazil, learned to code, and now leads a worldwide organization to teach women how to be data scientists". Business Insider. Retrieved 2020-03-11.
  5. "[Annual Party 周年慶] R-Laides兩歲了 Celebration for 2-years-old". Meetup (in Spanish). Retrieved 2020-03-11.
  6. "First Organizing R-Ladies Meeting!". Meetup (in Spanish). Retrieved 2020-03-11.
  7. "Royal Statistical Society Publications". Significance. 15 (4). August 2018. doi:10.1111/sign.2018.15.issue-4. ISSN 1740-9705.
  8. "About us – R-Ladies Global". Retrieved 2020-03-11.
  9. rladies/global, R-Ladies Global, 2018-04-24, retrieved 2020-03-11
  10. Mertic, John (2018-03-27). "R Consortium welcomes R-Ladies as a top level project". R Consortium. Retrieved 2020-03-11.
  11. "R-Ladies". gqueiroz.shinyapps.io. Retrieved 2020-03-11.
  12. "Conoce R-Ladies CDMX, el proyecto donde mujeres enseñan a programar a mujeres". malvestida.com. 20 April 2018. Retrieved 2020-03-11.
  13. rladies/starter-kit, R-Ladies Global, 2020-03-07, retrieved 2020-03-11
  14. Rosenberg, Joshua; Lawson, Michael; Anderson, Daniel; Jones, Ryan Seth; Rutherford, Teomara (2019-09-13). "Making Data Science Count In and For Education". doi:10.35542/osf.io/hc2dw. {{cite journal}}: Cite journal requires |journal= (help)
  15. Torres, Roberto/ (2018-01-03). "The R community is doing really well in gender diversity". Technical.ly Philly. Retrieved 2020-03-11.
  16. Clarín.com (20 November 2017). "De la economía a la programación, en un abrir y cerrar de ojos". www.clarin.com (in Spanish). Retrieved 2020-03-11.
  17. Bueno, Montse Hidalgo Pérez, Olivia López (2018-09-07). "La calculadora mágica de los científicos de datos cumple 25 años". EL PAÍS RETINA (in Spanish). Retrieved 2020-03-11.{{cite web}}: CS1 maint: multiple names: authors list (link)
  18. "A Multimillion-Dollar Startup Tried To Cover Up Its CEO's Sexual Misconduct. Then The Truth Came Out". BuzzFeed News. Retrieved 2020-03-11.
  19. Thieme, Nick (2018). "R generation". Significance. 15 (4): 14–19. doi:10.1111/j.1740-9713.2018.01169.x. ISSN 1740-9713.
  20. Sánchez, Cristina (3 April 2018). "Las ingenieras que luchan para que la inteligencia artificial tenga 'madres'". eldiario.es (in Spanish). Retrieved 2020-03-11.
  21. "Marcela, programando la igualdad de género". Testigo Púrpura (in European Spanish). 2019-10-08. Retrieved 2020-03-11.
  22. "Hay que perder ese miedo irracional a las matemáticas". Innovando - La Rioja (in Spanish). 2019-04-03. Retrieved 2020-03-11.
  23. Herranz, Arantxa (2018-05-28). "Reciclé mi vida profesional por completo haciendo cursos gratuitos de Coursera sobre data science". Xataka (in Spanish). Retrieved 2020-03-11.
  24. Kopf, Dan (24 July 2019). "How R-Ladies made data science inclusive". Quartz. Retrieved 2022-02-09.
  25. "Tidal energy proposal wins UF, IBM technology contest". www.newswise.com. Retrieved 2022-02-09.
  26. Chan, Rosalie. "This IBM manager moved from Brazil, learned to code, and now leads a worldwide organization to teach women how to be data scientists". Business Insider. Retrieved 2022-02-09.
  27. "Gabriela de Queiroz | Amstat News". 2020-03-01. Retrieved 2022-02-09.
  28. "Brasileira é chief de data science, AI e inovação na IBM". Baguete (in Brazilian Portuguese). Retrieved 2022-02-09.
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