My Ph.D. is in Geography and Social Data Analytics and I specialize in fusing sources of geographic information to better understand complex environments. My research has involved the use of machine learning to predict spatial behaviors, the application of geospatial technologies during hazards, assessing risk to infrastructure, and complexity theory. The broad direction of my research is to use computational methods for spatio-temporal analysis and modeling of environmental hazards. My master’s thesis was on the validation of citizen science radiation measurements around Fukushima by developing a methodology to compare the Volunteered Geographic Information (VGI) to government data and dispersion models over space and time. My Ph.D. research expanded on this theme by assessing the validity, resolution, and usefulness of citizen-contributed environmental hazard data. I believe it is critical to recognize the benefits and limitations of environmental and social data from various geospatially enabled technologies.