Organization:R-Ladies

From HandWiki
Short description: Organization promoting gender diversity in the R programming community

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. 1.0 1.1 1.2 Kopf, Dan (24 July 2019). "How R-Ladies made data science inclusive" (in en). https://qz.com/work/1661486/r-ladies-made-data-science-inclusive/. 
  2. "Resources For Women In Data Science and Machine Learning" (in en-US). https://www.kdnuggets.com/resources-for-women-in-data-science-and-machine-learning.html/. 
  3. J, Pablo (2019-08-17). "Mujeres en la programación ¿Cual es la expectativa de mercado?" (in es). https://www.puro-geek.com/2019/08/17/mujeres-en-la-programacion-cual-es-la-expectativa-de-mercado/. 
  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". https://www.businessinsider.com/gabriela-de-queiroz-ibm-manager-r-ladies-meetup-2019-8. 
  5. "[Annual Party 周年慶 R-Laides兩歲了 Celebration for 2-years-old."] (in es). https://www.meetup.com/es/rladies-taipei/events/235691389/. 
  6. "First Organizing R-Ladies Meeting!" (in es). https://www.meetup.com/es/rladies-tc/events/221617211/. 
  7. "Royal Statistical Society Publications" (in en). Significance 15 (4). August 2018. doi:10.1111/sign.2018.15.issue-4. ISSN 1740-9705. 
  8. 8.0 8.1 "About us – R-Ladies Global" (in en-US). https://rladies.org/about-us/. 
  9. rladies/global, R-Ladies Global, 2018-04-24, https://github.com/rladies/global, retrieved 2020-03-11 
  10. Mertic, John (2018-03-27). "R Consortium welcomes R-Ladies as a top level project" (in en-US). https://www.r-consortium.org/announcement/2018/03/27/r-consortium-welcomes-r-ladies-as-a-top-level-project. 
  11. "R-Ladies". https://gqueiroz.shinyapps.io/rshinylady/. 
  12. 12.0 12.1 "Conoce R-Ladies CDMX, el proyecto donde mujeres enseñan a programar a mujeres". 20 April 2018. https://malvestida.com/2018/04/conoce-r-ladies-cdmx-el-proyecto-donde-mujeres-ensenan-a-programar-a-mujeres/. 
  13. rladies/starter-kit, R-Ladies Global, 2020-03-07, https://github.com/rladies/starter-kit, 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. https://osf.io/hc2dw. 
  15. Torres, Roberto/ (2018-01-03). "The R community is doing really well in gender diversity" (in en). https://technical.ly/philly/2018/01/03/r-ladies-philly-meetup/. 
  16. 16.0 16.1 Clarín.com (20 November 2017). "De la economía a la programación, en un abrir y cerrar de ojos" (in es). https://www.clarin.com/entremujeres/carrera-y-dinero/economia-programacion-abrir-cerrar-ojos_0_SJAIhKxgz.html. 
  17. Bueno, Montse Hidalgo Pérez, Olivia López (2018-09-07). "La calculadora mágica de los científicos de datos cumple 25 años" (in es). https://retina.elpais.com/retina/2018/08/22/tendencias/1534935352_747125.html. 
  18. "A Multimillion-Dollar Startup Tried To Cover Up Its CEO's Sexual Misconduct. Then The Truth Came Out." (in en). https://www.buzzfeednews.com/article/daveyalba/datacamp-sexual-harassment-metoo-tech-startup. 
  19. Thieme, Nick (2018). "R generation" (in en). Significance 15 (4): 14–19. doi:10.1111/j.1740-9713.2018.01169.x. ISSN 1740-9713. 
  20. 20.0 20.1 Sánchez, Cristina (3 April 2018). "Las ingenieras que luchan para que la inteligencia artificial tenga 'madres'" (in es). https://www.eldiario.es/hojaderouter/inteligencia_artificial/ingenieras-luchan-inteligencia-artificial-madres_0_756974765.html. 
  21. "Marcela, programando la igualdad de género" (in es-ES). 2019-10-08. https://testigopurpura.com/2019/10/08/marcela-programando-la-igualdad-de-genero/. 
  22. "Hay que perder ese miedo irracional a las matemáticas" (in es). 2019-04-03. https://innovando.larioja.com/perder-miedo-irracional-20190327003809-ntvo.html. 
  23. Herranz, Arantxa (2018-05-28). "Reciclé mi vida profesional por completo haciendo cursos gratuitos de Coursera sobre data science" (in es). https://www.xataka.com/empresas-y-economia/recicle-mi-vida-profesional-completo-haciendo-cursos-gratuitos-coursera-data-science. 
  24. 24.0 24.1 24.2 Kopf, Dan (24 July 2019). "How R-Ladies made data science inclusive" (in en). https://qz.com/work/1661486/r-ladies-made-data-science-inclusive/. 
  25. "Tidal energy proposal wins UF, IBM technology contest" (in en). https://www.newswise.com/articles/tidal-energy-proposal-wins-uf-ibm-technology-contest. 
  26. 26.0 26.1 26.2 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" (in en-US). https://www.businessinsider.com/gabriela-de-queiroz-ibm-manager-r-ladies-meetup-2019-8. 
  27. 27.0 27.1 "Gabriela de Queiroz | Amstat News" (in en-US). 2020-03-01. https://magazine.amstat.org/blog/2020/03/01/gabriela-de-queiroz/. 
  28. "Brasileira é chief de data science, AI e inovação na IBM" (in pt-br). https://www.baguete.com.br/noticias/26/05/2021/brasileira-e-chief-de-data-science-ai-e-inovacao-na-ibm/.