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R-Ladies

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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

[edit]

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] The current leadership team consists of Averi Giudicessi, Athanasia Monika Mowinckel, Shannon Pileggi, Riva Quiroga and Yanina Bellini Saibene.[11][12] The leadership team has an overarching role in steering and directing the organization. It works closely together with more than 20 volunteers who take care of various areas such as campaigns, the directory, mentoring, public communications and social media, or the community Slack.[11][12][13] As of 2024, the R-Ladies Global community consists of 219 groups in 63 countries.[14]

Organization

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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][15] The organization is coordinated by the Global Team.[16] The chapters, however, operate decentralized and new chapters can be founded by anyone using the publicly available "starter-kit".[17]

R-Ladies groups aim to promote a culture of inclusion within their events and community.[18][19] In addition, they promote gender equality and diversity in conferences,[20][21] in the workplace,[22][23][24] collaboration among gender minorities,[25] and analysis of data about women.[15][24]

The Directory[26] is a public directory listing 1,267 profiles of R-Ladies (in 2024). R-Ladies Global also showcases blogs written and maintained by their members.[27]

R-Ladies also collaborates with other projects, such as NASA Datanauts[28][29][20] or PyLadies.[30][31]

Gabriela de Queiroz

[edit]
Gabriela de Queiroz
OccupationDirector of AI at Microsoft
Known forR-Ladies, AI Inclusive
Academic background
Alma materRio de Janeiro State University (Bachelor in Statistics)
California State University, East Bay (Master in Statistics)
Websitehttps://k-roz.com

Gabriela de Queiroz is the Director of AI at Microsoft[32] and the founder of first R-Ladies chapter, AI Inclusive and co-founder of R-Ladies Global.[33][34][35][36] Before, she also worked at IBM as a chief data scientist.[32]

Early life and education

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She was raised in Brazil and received her bachelor's degree in statistics from Rio de Janeiro State University.[37] She has a master’s in epidemiology at Oswaldo Cruz Foundation and another one in statistics at California State University, East Bay.[37] de Queiroz moved to the United States in 2012 to begin her master's degree in statistics at California State University, East Bay.[34]

Achievements

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Interested in creating an inclusive space for women learning the programming language R, she began a Meetup group in the San Francisco Bay area.[34] Since then, the R-Ladies organization has grown to 219 groups in 63 countries.[38]

In addition to her work with R-Ladies, de Queiroz is an expert in machine learning and led IBM's AI Strategy and Innovations team.[36][39] Her team contributed to projects such as TensorFlow.[36] de Queiroz was a finalist of the Women in Open Source Award by Red Hat in 2019,[40] named 40 under 40 by CSUEB[41] as well as listed among the 100 Brilliant Women in AI Ethics™ in 2023.[42]

Notable members

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References

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  1. ^ a b c 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. ^ a b "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. ^ a b "Meet The Global Team". rladies.org. Retrieved 2024-03-20.
  12. ^ a b "Global Leadership Team Transition". rladies.org. Retrieved 2024-03-20.
  13. ^ "Welcome to the Global Team". rladies.org. Retrieved 2024-03-20.
  14. ^ "R-Ladies". rladies.org. Retrieved 2024-03-20.
  15. ^ a b "Conoce R-Ladies CDMX, el proyecto donde mujeres enseñan a programar a mujeres". malvestida.com. 20 April 2018. Retrieved 2020-03-11.
  16. ^ Meet The Global Team, R-Ladies Global, retrieved 2024-03-20
  17. ^ rladies/starter-kit, R-Ladies Global, 2020-03-07, retrieved 2020-03-11
  18. ^ Rosenberg, Joshua; Lawson, Michael; Anderson, Daniel; Jones, Ryan Seth; Rutherford, Teomara (2020). "Making Data Science Count In and For Education". Research Methods in Learning Design and Technology. Routledge. p. 17. ISBN 9780429260919.
  19. ^ Torres, Roberto/ (2018-01-03). "The R community is doing really well in gender diversity". Technical.ly Philly. Retrieved 2020-03-11.
  20. ^ a b 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.
  21. ^ 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)
  22. ^ "A Multimillion-Dollar Startup Tried To Cover Up Its CEO's Sexual Misconduct. Then The Truth Came Out". BuzzFeed News. Retrieved 2020-03-11.
  23. ^ Thieme, Nick (2018). "R generation". Significance. 15 (4): 14–19. doi:10.1111/j.1740-9713.2018.01169.x. ISSN 1740-9713.
  24. ^ a b Sánchez, Cristina (3 April 2018). "Las ingenieras que luchan para que la inteligencia artificial tenga 'madres'". eldiario.es (in Spanish). Retrieved 2020-03-11.
  25. ^ "Marcela, programando la igualdad de género". Testigo Púrpura (in European Spanish). 2019-10-08. Retrieved 2020-03-11.
  26. ^ "Directory". rladies.org. Retrieved 2024-03-20.
  27. ^ "Blogs by R-Ladies". rladies.org. Retrieved 2024-03-20.
  28. ^ "Hay que perder ese miedo irracional a las matemáticas". Innovando - La Rioja (in Spanish). 2019-04-03. Retrieved 2020-03-11.
  29. ^ 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.
  30. ^ "PyLadies + R-Ladies — Bringing the communities together". Meetup. 2022-07-27. Retrieved 2024-03-20.
  31. ^ "AutoML in R & Python using H2O". Meetup. 2023-02-17. Retrieved 2024-03-20.
  32. ^ a b de Queiroz, Gabriele. "About". k-roz.com. Retrieved 2024-03-20.
  33. ^ "AI Inclusive - What We Do". AI Inclusive. Retrieved 2024-03-20.
  34. ^ a b c Kopf, Dan (24 July 2019). "How R-Ladies made data science inclusive". Quartz. Retrieved 2022-02-09.
  35. ^ "Tidal energy proposal wins UF, IBM technology contest". www.newswise.com. Retrieved 2022-02-09.
  36. ^ a b c 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.
  37. ^ a b "Gabriela de Queiroz | Amstat News". 2020-03-01. Retrieved 2022-02-09.
  38. ^ "R-Ladies". rladies.org. Retrieved 2024-03-20.
  39. ^ "Brasileira é chief de data science, AI e inovação na IBM". Baguete (in Brazilian Portuguese). Retrieved 2022-02-09.
  40. ^ "Meet winners and finalists". Red Hat. Retrieved 2024-03-20.
  41. ^ "2019 Award Recipients". CSUB. Retrieved 2024-03-20.
  42. ^ "100 Brilliant Women in AI Ethics™ - 2023". Women in AI Ethics. Retrieved 2024-03-20.
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