Teaching students to analyze spatial data using Python and R programming to inform on global challenges is one of the most rewarding parts of my work.
Qualifications
Research Interests
I’m a spatial data scientist who develops computational approaches to integrate and validate data on physical and human systems for decision making during disasters. A core aspect of my research is the evaluation of citizen science data to improve monitoring of environmental hazards at local scales. I serve as co-chair of the Committee on Data (CODATA) Participatory Mapping task group of the International Science Council.
Recent Publications
- Carter E., Hultquist C. and Wen T. (2023) GRRIEn analysis: a data science cheat sheet for earth scientists learning from global earth observations. Artificial Intelligence for the Earth Systems : 1-49. http://dx.doi.org/10.1175/aies-d-22-0065.1.
- Tamariz G., Zimmerer KS. and Hultquist C. (2023) Correction to: Land-System Changes and Migration Amidst the Opium Poppy Collapse in the Southern Highlands of Oaxaca, Mexico (2016–2020) (Human Ecology, (2023), 10.1007/s10745-022-00388-4). Human Ecology http://dx.doi.org/10.1007/s10745-023-00397-x.
- Tamariz G., Zimmerer KS. and Hultquist C. (2023) Land-System Changes and Migration Amidst the Opium Poppy Collapse in the Southern Highlands of Oaxaca, Mexico (2016-2020). Human Ecology 51(2): 189-205. http://dx.doi.org/10.1007/s10745-022-00388-4.
- Bucherie A., Hultquist C., Adamo S., Neely C., Ayala F., Bazo J. and Kruczkiewicz A. (2022) A comparison of social vulnerability indices specific to flooding in Ecuador: principal component analysis (PCA) and expert knowledge. International Journal of Disaster Risk Reduction 73 http://dx.doi.org/10.1016/j.ijdrr.2022.102897.
- Hultquist C. and Tubbeh RM. (2022) Digital Sociotechnical Systems of Mutual Aid: How Communities Connected, Adapted, and Innovated During the COVID-19 Pandemic in New York City. Citizen Science: Theory and Practice 7(1) http://dx.doi.org/10.5334/cstp.454.