Kathryn Grace researches population geography and highlights the role of context in various aspects related to maternal and child health—primarily reproductive health and family planning decision-making. She uses a quantitative, mixed-disciplinary approach to the examination of the way that individual, family, or household outcomes are conditioned by place; including both the culture and the natural environment. 



Mark Lindberg studies cartography with a strong psychological element and continued the quantitative and computational threads. Much of his approach is tempered by the necessities of actual map production“”where theory meets the applied side of the subdiscipline.

Steven Manson is combines environmental research, social science approaches, and geographic information science to understand complex human-environment systems.
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Robert McMaster works on cartographic generalization, in particular building and evaluating algorithms for the simplification and smoothing of cartographic features. He also conducts research on GIS and society, in particular risk assessment and public participation GIS, and helped found the National Historical Geographic Information System (NHGIS).


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Susanna McMaster researches professional GIS education, the history of academic cartography and GIS, and spatial modeling and analysis with a focus on natural resource management. 

Eric Shook uses big spatial data and high-performance computing to engage in innovative spatial analytics and modeling approaches, particularly in how he joins spatial analysis with substantive research in health and population.
Ying Song develops and applies spatial analytic methods to simulate, visualize and analyze movement and change in geographic space, with a major focus on human mobility and accessibility within transportation networks, and attendant economic and environmental impacts.
Di Zhu
Di Zhu explores theories, algorithms and models to bridge geospatial analytics, artificial intelligence and social sensing. He uses integrated thinking and cross-disciplinary methods to facilitate intelligent spatial understanding and geographic knowledge discovery, focusing on the human-environment complexities within socioeconomics, population, business and public health.