This report includes data about IT jobs and computer science education, disaggregated by state and congressional district.

Or, use the interactive map to look at education and jobs in your area.

This resource highlights ten important recommendations supervisors or managers can readily adopt to improve visibility of their employees. These recommendations are particularly useful for improving the visibility of women, as well as employees from other underrepresented groups.

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Counselors for Computing (C4C), a project of the NCWIT K-12 Alliance made possible by the Merck Company Foundation, empowers school counselors to increase student interest in and preparedness for computing and technology jobs. C4C brings school counselors the information and resources they need to advise students about careers in computing and technology and paths to these careers.

More than 40 years of data on authors of ACM conference papers describe women’s contribution to this important aspect of computing professional life. The data show that women’s authorship increased substantially over time, and that relative to their representation in the likely pool of ACM conference paper authors, women Ph.D.s were especially productive. Initial tests indicate that the increase in women’s share of papers was due in large part to the increase in number of women in the community of potential authors.

This article was published in Open Source Business Resource. With data from successful founders of high-tech companies, we identify traits common to large majorities of them and any gender differences in those traits. There are few. Further, we identify criteria that might lead to gender imbalance among successful founders by comparing similarities and differences in the gender distribution of these traits among the general population and among successful founders.

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. 

Need help evaluating your mentoring program? This resource provides a step-by-step plan with example metrics for evaluating a workplace mentoring program (in either industry or academia). Recommendations are based on best practices in professional program evaluation. This guide can be used as a companion resource to NCWIT's Mentoring-in-a-Box: Technical Women at Work available at www.ncwit.org/imentor and NCWIT's Mentoring-in-a-Box: Women Faculty in Computing at www.ncwit.org/facultymentor.