R-Ladies Explained

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
Formation:2016
Type:organization
Fields:computing, R, Women in STEM

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.[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.[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]

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.[9] The current leadership team consists of Averi Giudicessi, Athanasia Monika Mowinckel, Shannon Pileggi, Riva Quiroga and Yanina Bellini Saibene.[10] [11] 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.[10] [11] [12] As of 2024, the R-Ladies Global community consists of 219 groups in 63 countries.[13]

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

R-Ladies groups aim to promote a culture of inclusion within their events and community.[15] [16] In addition, they promote gender equality and diversity in conferences,[17] [18] in the workplace,[19] [20] [21] collaboration among gender minorities,[22] and analysis of data about women.[21]

The Directory[23] 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.[24]

R-Ladies also collaborates with other projects, such as NASA Datanauts[25] [26] [17] or PyLadies.[27] [28]

Gabriela de Queiroz

Gabriela de Queiroz
Occupation:Director of AI at Microsoft
Known For:R-Ladies, AI Inclusive
Website:https://k-roz.com

Gabriela de Queiroz is the Director of AI at Microsoft[29] and the founder of the global R-Ladies and AI Inclusive.[30] [31] [32] [33] Before, she also worked at IBM as a chief data scientist.

Early life and education

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

Achievements

Interested in creating an inclusive space for women learning the programming language R, she began a Meetup group in the San Francisco Bay area. Since then, the R-Ladies organization has grown to 219 groups in 63 countries.[35]

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] Her team contributed to projects such as TensorFlow. de Queiroz was a finalist of the Women in Open Source Award by Red Hat in 2019,[37] named 40 under 40 by CSUEB[38] as well as listed among the 100 Brilliant Women in AI Ethics™ in 2023.[39]

Notes and References

  1. Web site: How R-Ladies made data science inclusive. Kopf. Dan. Quartz at Work. 24 July 2019 . en. 2020-03-11.
  2. Web site: Resources For Women In Data Science and Machine Learning. KDnuggets. en-US. 2020-03-11.
  3. Web site: Mujeres en la programación ¿Cual es la expectativa de mercado?. J. Pablo. 2019-08-17. Puro-Geek. es. 2020-03-11.
  4. Web site: This IBM manager moved from Brazil, learned to code, and now leads a worldwide organization to teach women how to be data scientists. Chan. Rosalie. Business Insider. 2020-03-11.
  5. Web site: [Annual Party 周年慶] R-Laides兩歲了 Celebration for 2-years-old.]. Meetup. es. 2020-03-11.
  6. Web site: First Organizing R-Ladies Meeting!. Meetup. es. 2020-03-11.
  7. August 2018. Royal Statistical Society Publications. Significance. en. 15. 4. 10.1111/sign.2018.15.issue-4. 1740-9705. free.
  8. Web site: About us – R-Ladies Global. 2020-03-11. en-US.
  9. Web site: R Consortium welcomes R-Ladies as a top level project. Mertic. John. 2018-03-27. R Consortium. en-US. 2020-03-11.
  10. Web site: Meet The Global Team. 2024-03-20. rladies.org. en-US.
  11. Web site: Global Leadership Team Transition. rladies.org. en-US. 2024-03-20.
  12. Web site: Welcome to the Global Team. rladies.org. en-US. 2024-03-20.
  13. Web site: R-Ladies. rladies.org. en-US. 2024-03-20.
  14. Web site: Conoce R-Ladies CDMX, el proyecto donde mujeres enseñan a programar a mujeres. malvestida.com. 2020-03-11. 20 April 2018.
  15. Book: Rosenberg. Joshua. Lawson. Michael. Anderson. Daniel. Jones. Ryan Seth. Rutherford. Teomara. 2020. Research Methods in Learning Design and Technology . Routledge . 17. Making Data Science Count In and For Education . 9780429260919.
  16. Web site: The R community is doing really well in gender diversity. Torres. Roberto/. 2018-01-03. Technical.ly Philly. en. 2020-03-11.
  17. Web site: De la economía a la programación, en un abrir y cerrar de ojos. Clarín.com. www.clarin.com. 20 November 2017 . es. 2020-03-11.
  18. Web site: La calculadora mágica de los científicos de datos cumple 25 años. Bueno. Montse Hidalgo Pérez, Olivia López. 2018-09-07. EL PAÍS RETINA. es. 2020-03-11.
  19. Web site: A Multimillion-Dollar Startup Tried To Cover Up Its CEO's Sexual Misconduct. Then The Truth Came Out.. BuzzFeed News. en. 2020-03-11.
  20. Thieme. Nick. 2018. R generation. Significance. en. 15. 4. 14–19. 10.1111/j.1740-9713.2018.01169.x. 1740-9713. free.
  21. Web site: Las ingenieras que luchan para que la inteligencia artificial tenga 'madres'. Sánchez. Cristina. eldiario.es. 3 April 2018 . es. 2020-03-11.
  22. Web site: Marcela, programando la igualdad de género. 2019-10-08. Testigo Púrpura. es-ES. 2020-03-11.
  23. Web site: Directory. rladies.org. en-US. 2024-03-20.
  24. Web site: Blogs by R-Ladies. rladies.org. en-US. 2024-03-20.
  25. Web site: Hay que perder ese miedo irracional a las matemáticas. 2019-04-03. Innovando - La Rioja. es. 2020-03-11.
  26. News: Reciclé mi vida profesional por completo haciendo cursos gratuitos de Coursera sobre data science. Herranz. Arantxa. 2018-05-28. Xataka. es. 2020-03-11.
  27. Web site: PyLadies + R-Ladies — Bringing the communities together. 2022-07-27. Meetup. en-US. 2024-03-20.
  28. Web site: AutoML in R & Python using H2O. 2023-02-17. Meetup. en-US. 2024-03-20.
  29. Web site: de Queiroz. Gabriele. About. 2024-03-20. k-roz.com. en-US.
  30. Web site: AI Inclusive - What We Do. 2024-03-20. AI Inclusive. en.
  31. Web site: Kopf. Dan. How R-Ladies made data science inclusive. 2022-02-09. Quartz. 24 July 2019 . en.
  32. Web site: Tidal energy proposal wins UF, IBM technology contest. 2022-02-09. www.newswise.com. en.
  33. Web site: 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. 2022-02-09. Business Insider. en-US.
  34. Web site: 2020-03-01. Gabriela de Queiroz Amstat News. 2022-02-09. en-US.
  35. Web site: R-Ladies. rladies.org. en-US. 2024-03-20.
  36. Web site: Brasileira é chief de data science, AI e inovação na IBM. 2022-02-09. Baguete. pt-br.
  37. Web site: Meet winners and finalists. Red Hat. en-US. 2024-03-20.
  38. Web site: 2019 Award Recipients. CSUB. en-US. 2024-03-20.
  39. Web site: 100 Brilliant Women in AI Ethics™ - 2023. Women in AI Ethics. en-US. 2024-03-20.

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