Hidden STEM Figures
Predictive analytics could close the gender gap in STEM, if they're used correctly.
Big ideas, bold solutions. Explore the latest research, analysis, and policy insights from our experts.
Predictive analytics could close the gender gap in STEM, if they're used correctly.
There's much work yet to be done to create fair, just, and egalitarian societies for women as well as men.
Over the last year, M-Lab has been working to improve access to our data through visualizations and applications.
How do we reconcile theories of representation with rationales for inclusion?
Recent films and television spots have highlighted the importance of girls in STEM.
Robyn testified about the mutually reinforcing relationship between privacy and security.
To truly support the trans community we need to understand the full scope of what's at stake.
Sexaul harassment persists because of social norms, inside and outside of companies, that mark the behavior as acceptable.
For caregivers, participating in the women's strike might not have been an option.
Districts are using an important new tool to address the need for high-quality curricular materials—open educational resources, or OER.
Increasing education requirements in the ECE field, combined with low wages, can make maintaining a high-quality workforce challenging.
The CRA would repeal the broadband privacy rules enacted by the Federal Communications Commission last October.
Special guest Tressie McMillan Cottom joins the podcast to discuss her new book: "Lower Ed."
A new framework offers ethical practices colleges should consider when using predictive analytics.