Gendered Innovations is a peer-reviewed project that develops practical methods of sex and gender analysis for scientists, planners and engineers, and provides case studies as concrete illustrations of how sex and gender analysis leads to innovation.
Thirty years of research have revealed that sex and gender bias is socially harmful and expensive. Gender bias also leads to missed market opportunities. In engineering, for example, assuming a male default can produce errors in machine translation. In basic research, failing to use appropriate samples of male and female cells, tissues, and animals yields faulty results. In medicine, not recognizing osteoporosis as a male disease delays diagnosis and treatment in men. In city planning, not collecting data on caregiving work leads to inefficient transportation systems.