• Let’s Make Gender Diversity in #Data_Science a Priority Right from the Start - PLOS Biology
    http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002206

    Ten Simple Rules for Increasing Gender Diversity in Data Science

    Get data science culture right at our places of employment:

    1 Foster a recruitment process that seeks out diverse candidate pools and engages in targeted and intentional outreach efforts that attract a diverse applicant pool.
    2 Monitor and promote pay equity.
    3 Develop organizational mechanisms for promoting diversity in which success of such efforts can be measured and rewarded.
    4 Provide leadership opportunities for women, promote their efforts, and help women identify advancement opportunities.
    5 Make diversity a strategic priority and expect those who work for and/or with us to do so as well.

    Become an activist for women’s representation in data science:

    6 Put women colleagues and students up for awards and recognitions. Share their work with colleagues. Provide mentorship that helps them navigate the pathways to success. Help clear those paths.
    7 Raise awareness of diversity. If you are asked to present, be on a panel, or serve on a committee, ask if there are (other) women participating. If not, suggest names of women to invite. (Bonus points for not accepting the response that finding good women candidates is hard.) This approach is particularly effective when both men and women ask these questions.
    8 Help create positive language and social expectations around data science: assume that women will be part of the process and part of the leadership. Spread the word that women’s leadership belongs in data science. Position and highlight the expertise of women in the field and include their voices.
    9 Send colleagues and students to the Grace Hopper Celebration of Women (and go yourself). Encourage them to utilize this meeting to expand their networks, advance their professional success, and develop mentors, colleagues and friends in data science.
    10 Focus on daily actions and interactions. Make sure that women’s contributions are valued and heard. Model inclusive behavior and hold yourself and others accountable.

    ping @archiloque #femmes #informatique