This file collects information pertaining to (workforce and subject) diversity, especially in data science and related fields.
- Let's Make Gender Diversity in Data Science a Priority Right from the Start
- Grace Hopper Celebration of Women in Computing
- Speakerinnen.org
- Friendly space policies/ code of conduct
- Are women still at a disadvantage in science?
- Practical Guide to Improving Gender Equality in Research Organisations (February 2017)
- Tess Posner, AI4ALL: Diverse and Inclusive AI - H2O World San Francisco
- addresses diversity and inclusion from multiple angles, summarized from about 13:30 min onwards
- mentions LatinX in AI, Black in AI, Women in Machine Learning, fas.ai and http://ai-4-all.org as organizations to partner with
- Gender in the Global Research Landscape, U-Multirank 2019
- Consideration of Sex as a Biological Variable in NIH-funded Research
- Why Science Needs Female Mice
- The Women Behind the New Horizons Mission and New Pluto Map
- Lack of women professors means research grants are skewed towards men
- The Untold History of Women in Science and Technology
- Australian students recreate Martin Shkreli price-hike drug in school lab
- Diversity in Open Source Is Even Worse Than in Tech Overall
- Harassment
- Review: ‘Lab Girl,’ Hope Jahren’s Road Map to the Secret Life of Plants
- "analysis [of schools in Charlottesville] shows that white students there are about four times as likely as black students to be considered gifted"
- Amazon scraps secret AI recruiting tool that showed bias against women