Research
I investigate racial and socioeconomic disparities at the intersection of housing, neighborhoods, and technology. My research is informed by a focus on the spatiality of inequality and an interest in the impact of emerging automated decision-making technologies on individual and community outcomes. While much of my research has focused on the United States, I am also engaged in comparative work, especially between the U.S. and other advanced economies. I am committed to research leveraging mixed-methods designs, and strive to triangulate results from quantitative studies with qualitative data from interviews, archival records, and site visits whenever possible.
Urban Data Science methods and data sources also play a key role in my work. I enjoy collaborating with colleagues to design studies using innovative data sources and exchanging ideas on methodological advances. I believe Urban Data Science, as an emerging field, must be theoretically grounded and focused on bringing new tools to bear on rigorous research designs. The ethical and social implications of big data analysis are also of high importance.
Urban Data Science methods and data sources also play a key role in my work. I enjoy collaborating with colleagues to design studies using innovative data sources and exchanging ideas on methodological advances. I believe Urban Data Science, as an emerging field, must be theoretically grounded and focused on bringing new tools to bear on rigorous research designs. The ethical and social implications of big data analysis are also of high importance.
Housing
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Neighborhoods
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Technology
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