the Diana Project showed that contrary to conventional wisdom, many of the women who were not financed through growth capital had the necessary skills to build a high-growth business. Other research has shown that women entrepreneurs are already launching ambitious businesses in the high-technology industry, expanding their social networks, and making their pitches more relatable to the male-dominated VC industry, despite many industry people believing that women are not doing that. Some studies, though, have looked at the social networks of women entrepreneurs, showing that their networks are different from that of their male counterparts and aren't overlapping as much with financial networks. An entrepreneur's social capital is defined by the networks they have access to, and receiving private equity funding is heavily influenced by an entrepreneur's social capital and whether it overlaps with that of venture capitalists. Thus, women continue being disadvantaged in that respect when looking for private equity funding. Another important factor in receiving private equity funding is an entrepreneur's human capital, derived from education, training and experience. Some studies have shown that women were less likely to have the necessary experience in executive or technical management since they tended to be more present in the retail, finance, service and real estate sectors. This has led other researchers to study female entrepreneurs with extensive human capital, to identify whether they still face discrimination in their funding search. In a study that used data from MIT Venture Mentoring Service, it was found that women with strong human capital were still less likely to pursue their high-growth business ideas full-time. Education, especially in the STEM fields, is another barrier that women face in achieving the necessary human capital. Obstacles in Supply Specifically in STEM STEM related fields are heavily populated by men, and women are extremely underrepresented. Many people believe this issue to be getting better, and although it may be, it is still a large issue that must be addressed on a larger scale. From a study done in 2010 by AAUW, it seems as though the underrepresentation stems from societal norms that cause barriers. Some of these barriers include stereotypes and gender bias. But one of the most important aspects that is often not recognized as much is that some of these barriers come from the way that engineering and mathematics programs at universities are geared more towards men. An example outlined in this study was that