
Qianheng Zhang
“Spatial Epistemic Collapse: A Framework for Quantifying Spatial Bias in Generative GeoAI Using Street View Imagery”
An annual competition recognizing outstanding student research in GIS and GIScience. Undergraduate and graduate students present their work at the AAG Annual Meeting and compete for prizes and publication recognition.

“Spatial Epistemic Collapse: A Framework for Quantifying Spatial Bias in Generative GeoAI Using Street View Imagery”

“DamageArbiter: A Disagreement-driven Arbitration Framework for Hurricane Damage Assessment from Street-View Imagery”

“A Unified Framework for Next-Gen Urban Forecasting via LLM-driven Dependency Retrieval and GeoTransformer”
The purpose of this competition is to promote scholarship and outstanding written and oral presentations by students in the field of GIScience. Any paper that advances an aspect of GIS, including theoretical, conceptual, and methodological developments, or innovative applications were welcome. Any paper that advances any aspect of GIS is welcome. We encourage papers on theoretical, conceptual, and methodological developments in GIS as well as on particular innovative GIS applications. Papers must be based upon original work, completed as an undergraduate or graduate student, relevant to the field of GIS and current GIS research. Papers must be mainly written by the applicant, but having co-authors is allowed. Students who are selected as finalists will be placed in a special session at the annual meeting. A single submission can only be submitted to one AAG special group honor paper competition.
Enhancing diversity, promoting inclusion, and broadening participation in the discipline of geography are goals that are central to the AAG and its mission. The GISS-SG strongly encourages female students and students in underrepresented groups in geography to participate in this competition.

| Presenter | University | Paper title |
|---|---|---|
| Tao Peng | University of Connecticut | Contextual Autoencoder: A Self-Supervised Learning Framework for Spatiotemporal Interpolation under Diverse Data Coverage Patterns |
| Andy Qin | The University of Texas at Austin | Leveraging Reinforcement Learning for Maternity Care Resource Reallocation |
| Junbo Wang | University of Tennessee | SounDiT: Geo-Contextual Soundscape-to-Landscape Generation |
| Meicheng Xiong | University of Minnesota Twin Cities | A graph-based deep population downscaling model on irregular spatial units |
| Qianheng Zhang | University of Wisconsin–Madison | Spatial Epistemic Collapse: A Framework for Quantifying Spatial Bias in Generative GeoAI Using Street View Imagery |
| Presenter | University | Paper title |
|---|---|---|
| Qian Cao | University of Georgia | Benchmarking Generative Models for Environmental Visualization and Urban Planning Decision Support |
| Mahbub Ul Hasan | Texas A&M University | Global Assessment of Grasslands: Three Decades of Shifting Connectivity and Rising Fragmentation Across Regions and Scales |
| Yuhao Jia | Emory University | A Unified Framework for Next-Gen Urban Forecasting via LLM-driven Dependency Retrieval and GeoTransformer |
| Xin Jin | The Chinese University of Hong Kong | The Utility Gap in Human Mobility Modeling: Evidence from Environmental Exposure Assessment |
| Yifan Yang | Texas A&M University | DamageArbiter: A Disagreement-driven Arbitration Framework for Hurricane Damage Assessment from Street-View Imagery |
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