Unconscious Bias

Male Advocates and Allies (report cover)

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.

Stereotype Threat Cover Slide

Stereotypes and Stereotype Threat Affect Computing Students

This slide deck is a companion piece to the NCWIT Talking Point Card Talk with Faculty Colleagues About Stereotype Threat (www.ncwit.org/stereotypethreattp). You can hand out the card to your colleagues and then share these slides at a faculty meeting. 

Categories: Unconscious Bias
Types: Other
Stereotype Threat Cover Image

Talk with Faculty Colleagues About Stereotype Threat

This Talking Point Card explains stereotype threat and how it is triggered, shares examples of effects from stereotype threat, and suggests ways to create a stereotype threat-free environment for attracting able and diverse students to computing.

Categories: Unconscious Bias
Talking Points

Institutional Barriers & Their Effects: How can I talk to colleagues about these issues?

Institutional barriers (IBs) are policies, procedures, or situations that systematically disadvantage certain groups of people. IBs exist in any majority-minority group situation. When an initial population is fairly similar (e.g., in male-dominated professions), systems naturally emerge to meet the needs of this population. If these systems do not change with the times, they can inhibit the success of new members with different needs. IBs often seem natural or “just the way things are around here.”

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.

Categories: Unconscious Bias
How Do Stereotype Threats Affect Retention? Better Approaches to Well-Intentioned, but Harmful Messages (Case Study 1)

How Do Stereotype Threats Affect Retention? Better Approaches to Well-Intentioned, but Harmful Messages (Case Study 1)

Stereotype threat harms both performance and motivation by reducing our feelings of competence, belonging, and trust in our colleagues. However, careful thought, education, and regular assessment of diversity practices can help minimize incidents of stereotype threat. Examples show how instructors and advisors can minimize stereotype threat by creating an accepting environment where students feel at ease and are recognized for their achievements. In addition, student test scores improve and gender gaps are eliminated when students are taught that intelligence increases through effort.

Categories: Unconscious Bias
How Can Unbiased Software Facilitate Girls' Interest in IT? A Checklist for Evaluating Software (Case Study 1)

How Can Unbiased Software Facilitate Girls' Interest in IT? A Checklist for Evaluating Software (Case Study 1)

Educational software can increase students’ motivation, interest, and academic achievement in science and math. To do so, it must be selected and utilized properly to avoid gender bias. A sample tool for guiding software selection is provided.

Categories: Unconscious Bias
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.

Categories: Unconscious Bias
How Can Reducing Unconscious Bias Increase Women's Success in IT? Avoiding Gender Bias in Recruitment/Selection Processes (Case Study 2)

How Can Reducing Unconscious Bias Increase Women's Success in IT? Avoiding Gender Bias in Recruitment/Selection Processes (Case Study 2)

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 focuses on the profound effect unconscious bias can have on the recruitment and selection process — from crafting and distribution of job postings to interviewing and hiring. Steps are offered for overcoming this bias.

Categories: Unconscious Bias
How Does the Physical Environment Affect Women's Entry and Persistence in Computing? Design Physical Space that Has Broad Appeal (Case Study 1)

How Does the Physical Environment Affect Women's Entry and Persistence in Computing? Design Physical Space that Has Broad Appeal (Case Study 1)

The décor of physical spaces conveys messages about the kinds of people who belong there and the kinds of activities that should be done there. Understanding this influence allows us to actively craft an environment that makes a broad range of people feel welcome in computing. 

Categories: Unconscious Bias