Johns Hopkins University is deeply committed to the dignity and equality of all persons, regardless of who you are or where you come from. The university has formulated an ambitious Roadmap on Diversity and Inclusion to articulate a shared understanding of the university’s focus and priorities (https://diversity.jhu.edu). Similarly, the Whiting School of Engineering values a diverse and inclusive community (https://engineering.jhu.edu/about/diversity-inclusion/).
The machine learning community’s research mission depends on a diverse and inclusive community. Research requires creativity, innovation, and varying perspectives. Ensuring that these qualities are present in our researchers requires us to have research programs that are accessible to and inclusive of researchers from wide-range and diverse set of backgrounds. We are committed to cultivating a culture that is supportive and welcoming.
Furthermore, awareness of the need for diversity and inclusion is especially critical for our research area since Machine Learning has a long track record of underrepresentation of women and minorities.