Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? Authors of Data Feminism, Catherine D’Ignazio and Lauren Klein, address how feminist thinking can be operationalized in order to imagine more ethical and equitable data practices in their keynote speech at the MIDAS Annual Symposium on November 10 at 9:00 AM. Please register to attend this virtual event.