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Women in Science. Women in STEM careers, from school to the lab

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Women in Science. Recommendations to improve Horizon Europe through a gender perspective.

The European Parliament hosted a day of reflection on the role of women in science on 25 September 2018.

Published in: Engineering
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Women in Science. Women in STEM careers, from school to the lab

  1. 1. Women in STEM careers,from school to the lab Lorena Fernández Álvarez University of Deusto,Spain
  2. 2. The “leaky pipeline” phenomenon
  3. 3. Self-confidence
  4. 4. She’s bossy vs He has leadership skills
  5. 5. She’s beautiful vs He’s smart
  6. 6. She’s hard-working vs He’s brilliant
  7. 7. By the age of 6,girls are less likely than boys to label people of their own gender as “really, really smart”. Paper reference: Gender stereotypes about intellectual ability emerge early and influence children’s interests (Science Journal)
  8. 8. Self-confidence Curiosity
  9. 9. Self-confidence Curiosity Stereotypes of STEAM fields
  10. 10. Self-confidence Curiosity Stereotypes of STEAM fields Lack of female role models
  11. 11. Self-confidence Curiosity Stereotypes of STEAM fields Lack of female role models TV series, films...
  12. 12. Before they reach university, we've lost them...
  13. 13. ...and after university,the pipeline is still leaking: work–family life balance,men’s club, mansplaining,herpeating,to continually prove our value to the organization...
  14. 14. Why do we need to fix the leaky pipeline?
  15. 15. "When you write a line of code,you can affect a lot of people." Sheryl Sandberg
  16. 16. Algorithmic bias The blind application of machine learning runs the risk of amplifying biases present in data
  17. 17. Google Translate Paper reference: “Machine Translation: Analyzing Gender”
  18. 18. – Persona molona «Voy a citar a alguien»
  19. 19. Paper reference: “Man Is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings” Word2vec,a popular framework to represent text data as vectors: • man:king :: woman:queen • sister:woman :: brother:man • man:boss :: woman:receptionist • man:programmer :: woman:homemaker
  20. 20. Paper reference: “Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints” • The visual semantic labeling (vSRL) tasks require large quantities of labeled data,predominantly retrieved from the web. • 67% of cooking images in datasets have a woman in the agent role. • Machine-learning software trained on the datasets didn’t just mirror those biases,it amplified them: they do not recognize images of men cooking.
  21. 21. Work promotion often starts in casual contexts
  22. 22. Paper reference: “Automated Experiments on Ad Privacy Settings. A Tale of Opacity, Choice,and Discrimination” After creating 1,000 fictitious users (50% women,50% men): men saw 1,800 times a Google's ad of a high-paying job. The women saw it 300 times.
  23. 23. Facebook is letting Job advertisers target only men A review by ProPublica found that 15 employers in the past year,including Uber,have advertised jobs on Facebook exclusively to one sex.
  24. 24. Why let technology be created by limited points of view? It's time to prioritize diversity across tech.
  25. 25. Patching the “leaky pipeline”
  26. 26. Let's recover and tell the story of incredible women who have been pioneers in science and technology and who have suffered the invisibility “superpower”.
  27. 27. An analysis of gender in high school textbooks shows that the presence of women in educational materials is 7.5%
  28. 28. The ‘Scully Effect’ is real: female X-Files fans are more likely to go into STEAM
  29. 29. Ada Byron Prize to Women Technologist www.premioadabyron.deusto.es
  30. 30. The power of close role models
  31. 31. Research from Microsoft has revealed that the number of girls interested in STEM across Europe,on average,almost doubles when they have a role model to inspire them.
  32. 32. “I have learned that girls can do the same as boys.” http://inspirasteam.net
  33. 33. "Never limit yourself because of others' limited imagination."
  34. 34. We have to work for girls and young women so that they can decide freely what they want to be when they grow up. Because while professional women suffer from glass ceilings,girls and young women suffer from “glass corridors” that lead them under the premise of "false freedom".
  35. 35. Europe has to promote social justice in its policies,and it is not possible to make scientific policy by excluding half of the population.
  36. 36. @loretahur lorena.fernandez@deusto.es THANK YOU!

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