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The Diversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks, and Hispanics report contains the needed focus on women, Blacks, and Hispanics — three groups that are underrepresented in computer science studies and the computing workforce. The report raises awareness about the structural and social barriers for the target groups in computer science, based upon a holistic assessment — surveying students, parents, teachers, principals, and superintendents.

This report provides excellent recommendations for parents and educators to increase the engagement of women, Blacks, and Hispanics in computer science. It further highlights recommendations for organizations to provide content for mobile devices that encourages the target groups to consider computer science. I strongly encourage you to read the report to understand the computer science education landscape for girls, Blacks, and Hispanics.

The Project "GenderStrat4EQuality" is led by the Lower Austrian Government. For the past two years gender equality- and research institutions in European countries developed standard criteria for gender trainings. The Curriculum Portfolio is now available for managers of European programmes and funds, municipalities and training facilities, which hold key positions for knowledge transfer. Due to its modular structure the curriculum can be used as an individual tool also in other areas of training.

The Curriculum Portfolio contains:
- Quality Criteria for Gender Equality Training
- Collection of Best Practice Examples of Gender Equality Trainings
- Gender Equality Curriculum
- Memorandum of Understanding
- Database Gender Equality Trainers

In June 2015, the National Institutes of Health (NIH) released a Guide notice (NOT-OD-15-102) that highlighted the expectation of the NIH that the possible role of sex as a biologic variable be factored into research design, analyses, and reporting of vertebrate animal and human studies. Anticipating these guidelines, the NIH Office of Research on Women’s Health, in October 2014, convened key stakeholders to discuss methods and techniques for integrating sex as a biologic variable in preclinical research. The workshop focused on practical methods, experimental design, and approaches to statistical analyses in the use of both male and female animals, cells, and tissues in preclinical research. Workshop participants also considered gender as a modifier of biology. This article builds on the workshop and is meant as a guide to preclinical investigators as they consider methods and techniques for inclusion of both sexes in preclinical research and is not intended to prescribe exhaustive/specific approaches for compliance with the new NIH policy.—Miller, L. R., Marks, C., Becker, J. B., Hurn, P. D., Chen, W.-J., Woodruff, T., McCarthy, M. M., Sohrabji, F., Schiebinger, L., Wetherington, C. L., Makris, S., Arnold, A. P., Einstein, G., Miller, V. M., Sandberg, K., Maier, S., Cornelison, T. L., Clayton, J. A. Considering sex as a biological variable in preclinical research.

1. Leah R. Miller*,1, 
2. Cheryl Marks†, 
3. Jill B. Becker‡, 
4. Patricia D. Hurn§,
5. Wei-Jung Chen¶, 
6. Teresa Woodruff‖, 
7. Margaret M. McCarthy#,
8. Farida Sohrabji¶, 
9. Londa Schiebinger**, 
10. Cora Lee Wetherington††,
11. Susan Makris‡‡, 
12. Arthur P. Arnold§§,¶¶, 
13. Gillian Einstein‖‖,##,***,
14. Virginia M. Miller†††,‡‡‡, 
15. Kathryn Sandberg§§§,¶¶¶, 
16. Susan Maier*,
17. Terri L. Cornelison* and 
18. Janine A. Clayton*