Resources

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Top 10 Ways to Hire the Best for Your Computing Start-up

This Top 10 resource offers recommendations for attracting and hiring highly qualified diverse technical employees into start-up companies. The recommendations include attention to casting a wide inclusive net, stereotyped language and decor, as well as some more cutting-edge approaches.

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REU-In-A-Box: Expanding the Pool of Computing Researchers

REU-in-A-Box: Expanding the Pool of Computing Researchers explains the benefits of undergraduate research in computing with content developed by experienced computing faculty mentors and undergraduate researchers. This resource focuses on the interactions of a faculty mentor with one or a few students and the processes by which they conduct and share the outcomes of their research. 

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How to Create and Sustain a Women in Computing Group on Your Campus

Women's groups can help to retain students and can provide an infrastructure for local activism. This brief guide discusses how to get a group started and to build its structure, the importance of maintaining an open and public presence, possible activities, ways to build membership, and the value of affiliating with other groups.

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Summary of Recent Research on Gender and High-tech Start-ups

High-tech startups typically use one of five types of employment models, reflecting their founders’ ideas about hiring and managing employees. These models can have long-lasting effects on firms and predict the trajectory of women’s representation among core technical staff. This research paper looks at the five models, identifies which are most congenial to hiring women, and points out correlations between competitive business models and meritocratic hiring. 

The Culture of Open Source Computing

The Culture of Open Source Computing

As a first step toward learning more about OSS culture and women’s participation in it, this annotated bibliography briefly describes current research organized into five topics: Gender Dimensions, Entry & Internal Advancement, Knowledge Acquisition, Membership and Organization, and Motivations & Intentions to Participate. This bibliography identifies pertinent articles and offers a brief summary of what are, in many cases, extensive research findings, only two of which focus on gender and OSS. The original publications should be consulted for full details.

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Top 10 Ways of Recruiting High School Women into Your Computing Classes

Recruiting diverse students to computing requires that you spark their interest, build their confidence they can succeed, create a community where they feel like they belong, and help them see themselves as a "computing person". This Top 10 list offers practices that help you recruit high school girls to your computing courses.

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How Do You Introduce Computing in an Engaging Way? Storytelling (Case Study 1)

How Do You Introduce Computing in an Engaging Way? Storytelling (Case Study 1)

Engage students not already drawn to computing by creating academic and social environments where these students feel like they belong. Students respond positively to solving real-life problems that draw on their existing knowledge and interests and that involve collaboration in hands-on projects. By focusing on problem-solving skills, the computer programming environment “Learning to Program with Alice” takes a new approach that helps students see programming as a series of causal relationships.

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AgentCubes-in-a-Box: Introduce Computing Through Game Design

Introduce students to computer science through AgentCubes, a powerful and engaging 2-D and 3-D programming tool. By completing the lessons in this program-in-a-box your middle school students will learn to program their own games and simulation worlds, and in the process learn the fundamentals of computer science.

Resources for Retaining and Advancing Mid-career Technical Women Guide

Resources for Retaining and Advancing Mid-career Technical Women Guide

Managers and others can use this guide to find NCWIT resources that will help them create highly-productive, diverse technical teams. Resources are catalogued by the key “change areas” identified in the NCWIT Change Model for Industry: 1) Top Leadership Support, 2) Supervisory Relationships, 3) Recruitment and Selection, 4) Talent Development and Mentoring, 5) Performance Evaluation and Promotion, 6) Support for Competing Responsibilities, 7) Reduction of Subtle Biases, and 8) Ongoing Evaluation.  Space also exists for adding company-specific resources into the guide.

How Does Combating Overt Sexism Affect Women's Retention? Assessments for Identifying Overt Sexism (Case Study 1)

How Does Combating Overt Sexism Affect Women's Retention? Assessments for Identifying Overt Sexism (Case Study 1)

Sexism has measurably harmful effects, but sexist behavior can be minimized. Instructors and supervisors can practice zero tolerance and facilitate positive peer interactions, and they can provide highly visible leadership, policies, and procedures that go beyond legalities to explicitly denounce sexism. This case study identifies available surveys and issues that should be considered when assessing the prevalence of sexist behavior in an organization.

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Male Advocates and Allies: Promoting Gender Diversity in Technology Workplaces

This report, sponsored by NCWIT's Workforce Alliance, provides an inside look into how men think about  and advocate for diversity in the technical workplace. Drawing from interviews with 47 men in technical companies and departments, this study: 1) Identifies the factors that motivate or hinder men in advocating for gender diversity, 2) explores what diversity efforts men have experienced as successful or unsuccessful, and 3) identifies specific strategies to increase men's participation in advocacy.

How Can Reducing Unconscious Bias Increase Women's Success in IT? Avoiding Unintended Bias in Letters of Recommendation (Case Study 1)

How Can Reducing Unconscious Bias Increase Women's Success in IT? Avoiding Unintended Bias in Letters of Recommendation (Case Study 1)

Research shows that even individuals committed to equality harbor unconscious biases that impact everyday decisions and interactions. In the IT workplace, unconscious gender bias can mislead employers, both male and female, to make inaccurate judgments in hiring, performance reviews, and promotion. This case study highlights findings on the differences between letters of recommendation for women and men and gives practical ways to reduce bias when writing letters of recommendation.

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