Sergii Skakun, Univ. of Maryland: ON THE INFERENCE FROM SATELLITE-BASED CLASSIFICATION MAPS FOR AREA ESTIMATION Luyu Liu, Texas A&M Univ.: Disentangling and Tackling the Spatiotemporal Biases in Social Sensing Data: A Cognitive-behavioral Approach Jielu Zhang, Harvard Univ.: SpatialCausal: a spatially-aware causal inference deep learning model for out-of-hospital cardiac arrest survival prediction Mehak Sachdeva, Florida State Univ.: Simulating the Precursor: Generative AI and Counterfactual Scenario Modeling of Partisan Mobility and Spatial Segregation
Wednesday June 17, 2026 10:30am - 12:00pm EDT Room A
Full Research Presentations Somayeh Dodge, UC Santa Barbara: What Mobile Location Data Can Tell Us About Nature Exposure? Isaac Rand, Federal Reserve Bank of Philadelphia: Automated Digitization of the Censuses of Housing Block Statistics, 1940-1970
Lightning Talks Xuebin Wei, James Madison Univ.: Building an AI Teaching Stack for GeoAI Education Peter Kedron, UC Santa Barbara: Spatial Reasoning and identification in Causal Inference Lei Song, Rutgers Univ.: Explainable AI Reveals How Precipitation Modulates Thermal Effects Across Vertebrates Elizabeth Newnam, Temple Univ.: Effects of NDVI Exposure on Cannabis Use Disorder Treatment
Wednesday June 17, 2026 1:30pm - 3:00pm EDT Room A
Ju He, Florida State Univ.: Estimating the Continuous Causal Effect of Spatial Distance on Outcomes Chen Zhang, Univ. of Connecticut: CASTED: Calibrated Anomaly-based Spatial-Temporal Event Detection Framework for Anomaly Detection in Resilience Curves Farnoosh Roozkhosh, Univ. of Georgia: Context-Augmented GeoAI for Public EV Charging: Predicting When and Where Charging Occurs Tongwei Xu, Univ. of Washington: The Geography of “AI Slop”: An Embedding-Based Spatial Analysis of AI-Generated Music Tang Sui, Univ. of Wisconsin–Madison: FireST-GraphNet: Wildfire Progression Prediction via a Temporal Graph Neural Network with Sequence Learning
Wednesday June 17, 2026 3:30pm - 5:00pm EDT Room A
