In the decades since the publication of The Mind Has No Sex?, Schiebinger has expanded her research on the history of gender, race, and science. She now directs Gendered Innovations in Science, Health & Medicine, Engineering, and Environment, a global project that has brought together over 200 natural scientists, engineers, and gender experts in a series of collaborative workshops. In a recent Nature comment, she and a colleague document how gender and ethnic bias is reproduced through machine learning and discuss how big data can be checked for bias and, when that fails, how algorithms can be debiased. Schiebinger’s work has had an impact on public policy and scientific research in the U.S. and across the globe—she has served as an advisor to the National Institutes of Health (NIH) in the United States, the Canadian Institutes of Health Research, the European Union, the Republic of Korea’s new Gendered Innovations Research Center, and the Japanese Science and Technology Agency, among many other organizations. In Spring 2019, she spoke at the Academy of Science in Rio de Janeiro, Brazil.
And though Schiebinger has published a great deal of research since The Mind Has No Sex?, she emphasizes that all of her work was born out of this early book and the fellowships that accompanied it. Through its willingness to fund innovative new research, the NEH in particular helped Schiebinger establish a career at a time when gender and science wasn’t considered an academic discipline. “Without this fellowship,” she said, “I wouldn’t have been able to get a first job.” But Schiebinger also points out that her work on our twenty-first century period is borne out of her research into the eighteenth century, during which many of the assumptions we still make about gender and race were being established. “We live in the shadows of the scientific revolution” in Western science, she says. What is more, Schiebinger’s knowledge of how gender and racial biases were formed in the eighteenth century is helping others avoid the same pitfalls. By helping scientists and engineers understand how bias can shape their research design studies, Schiebinger’s work is helping researchers get the science right from the beginning, saving lives and money, enhancing social equalities, and making science more responsive to society.