Speaker
Carolynne Hultquist
Institute
University of Canterbury
Time & Place
Thu, 18 Aug 2022 16:00:00 NZST in ER 263
Abstract
Many of today’s global challenges involve the need to understand human-environment interactions and connect with local contexts. It is critical to engage with communities on hazards and ensure that operational disaster products are appropriate for the audience. We demonstrate case studies that integrate social and environmental data and represent uncertainty at multiple levels. Spatial data science thinking is demonstrated to evaluate sampling approaches and improve the performance of error metrics while efficiently limiting the computational demand. We show that in some cases novel data collection techniques can be designed at appropriate scales for validation with high resolution data where available. A few use cases are demonstrated to emphasize how uncertainty in data leads to erroneous information that we need knowledge of to use wisely.
Zoom Recording:
Biography
Carolynne Hultquist is a Lecturer in the School of Earth and Environment at the University of Canterbury in Christchurch, New Zealand. She is 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 her research is the evaluation of citizen science data to improve monitoring of environmental hazards at local scales.
Hultquist recently was a postdoctoral research scientist at Columbia University focused on developing integrable socioeconomic products for NASA Socioeconomic and Data Applications Center (SEDAC) and operational anticipatory action protocol for the Red Cross that captures flood risk, exposure, and vulnerability at a high resolution. She received her Ph.D. in Geography and Social Data Analytics from Pennsylvania State University as part of the Geoinformatics and Earth Observation Lab.
