Schedule

The 2026 International Symposium on Spatiotemporal Data Science

August 7 and 8 (hybrid), August 9 (online only), 2026

Virginia Tech Academic Building One, 3625 Potomac Avenue, Alexandria, VA 22305 

Registration

DAY 1 – Friday, August 7, 2026

Keynote Speeches 9:00 AM – 10:00 AM, August 7, 2026 EDT

  • Phil Yang, Director of NSF Spatiotemporal Innovation Center, George Mason University
  • Jack Kaye, Previous Associate Director for Research of ESD, NASA

“Integration Across Vantage Points, Observing Techniques, and Programs in Earth Remote Sensing”

Break 10:00 AM – 10:30 AM, August 7, 2026 EDT

Panel Sessions 10:30 AM – 12:00 PM, August 7, 2026 EDT

P-1 Panel: The Frontiers of GeoAI 

Chair: Chaowei Yang, George Mason University

  • Qunying Huang, University of Wisconsin at Madison
  • Zhenlong Li, Pennsylvania State University
  • Junghwan Kim, Virginia Tech
  • Yingjie Hu, University at Buffalo

P-2 Panel: Financially Aware Infrastructure Systems

Chair: Dixon Wright, SRC Digital Insurance Services

Lunch 12:00 PM – 1:00 PM, August 7, 2026 EDT

Co-Current Sessions 1:00 PM – 5:00 PM, August 7, 2026 EDT

H1-1 Spatial Change, Land Regulation, and Labor Mobility 

Organizer: Ting Zhang, University of Baltimore 

  • Split Responses to Housing Prices: Local Government Land Reserve Pricing under Growth Accountability and Fiscal Revenue Incentives 

Haobing Fan, Shanghai Academy of Social Sciences

  • The Evolving Role of Knowledge, Skill, and Ability Similarity in Occupational Mobility: A Test of the “Similarity Trap” in the AI Era 

Ting Zhang, University of Baltimore

  • The Density Dilemma: Land Use Regulation and the 15-Minute City 

Lucas Chen, Southeast University

  • Multiscale Geographically Weighted Zero-Inflated Negative Binomial Regression 

Hanchen Yu, Chongqing University

H1-2 AI-Driven Geospatial Modeling and Visualization

Chair: Weichuan Dong

  • Unbiased Estimation Of Concentration For Directional Geospatial Data

Andrey A. Popov, University of Hawaii at Manoa

  • Cartographic Design by AI 

Michael Jardini, Spatial Sciences Institute at the University of Southern California

  • A Bayesian Spatiotemporal Framework for Predicting Conflict Intensity 

Xinyuan Yang, American University

  • Accelerating and Democratizing Scientific Research Lifecycle 

Qingyun Wang, William & Mary

H1-3 Urban and Environmental Intelligence: Sensing, Inference, and Human-Centered Applications 

Organizer: Yifan Yang, Texas A&M University

  • An Interpretable Spatiotemporal AI Framework for River Water-Quality Interpolation in Michigan 

Yuankun Jiao, University of Minnesota, Twin Cities

  • How Does The Micro-Scale Environment Influence Walking? Disentangling The Interrelationship Among Pedestrian Streetscape, Perception, And Intention To Walk 

Yifei Wang, George Mason University

  • Satellite-to-Street: Synthesizing Post-Disaster Views from Satellite Imagery via Generative Vision Models 

Yifan Yang, Department of Geography, Texas A&M University

  • Sensing and Inferring Urban Traffic Dynamics from Distributed Acoustic Sensing Using Deep Learning 

Hao Tian, Texas A&M University

  • Hyperlocal PM₂.₅ Imputation from Sparse Sensors with Earth Embeddings and State Space-Enhanced Spatial Learning 

Wenjing Gong, Texas A&M University

H2-1 Geospatial Accessibility and Spatiotemporal Neighborhoods 

Chair: Zhenlong Li, Penn State University

  • From Aggregate Flow Prediction to Individual Accessibility: Coupling Spatiotemporal Graph Networks with Agent-Based Simulation 

Chengwei Wang, University of Manchester

  • From the Ground Up: Localized Empirical Variography for Adaptive Spatiotemporal Neighborhoods 

Brendan Hurley, The George Washington University

  • Mapping the 15-minute City in Science Cities: Spatiotemporal Evidence from Beijing, 2014–2024 

Ye Fan, Tsinghua University

H2-2 GeoAI for Earth Observation and Wildfire Management 

Organizer: Qunying Huang, University of Wisconsin; Manzhu Yu, Pennsylvania State University; Yingjie Hu, SUNY Buffalo

  • GOES-R Imagery Super Resolution for Enhanced Wildfire Monitoring through Diffusion Models 

Ziyun Zhang, University of Wisconsin-Madison

  • Wildfire Spread Modeling with Spatiotemporal Graph Neural Networks

Sui Tang, University of Wisconsin-Madison

  • Assessment of Deep Learning Models Integrated with Weather and Environmental Variables for Wildfire Spread Prediction and A Case Study of the 2023 Maui Fires 

Yingjie Hu, SUNY Buffalo

  • Physically Guided Cross-Attention for Fire Spread Prediction in the Pantanal 

Manzhu Yu, Penn State University

H2-3 Remote Sensing for Spatiotemporal Modeling and Analysis 

Organizer: Fangzheng Lyu, Virginia Tech

  • Cooling for Whom? Mobility, Equity, and Climate Adaptation in Greenway Retrofitting 

Xinlin Ma, Virginia Polytechnic Institute and State University

  • LiDAR-Informed Stochastic Microsimulation For Coordinate-Level Population Downscaling 

Fangzheng Lyu, Virginia Tech

  • Crop Phenology Characterization of the US Corn Belt through Weakly Supervised Deep Learning 

Zijun Yang, University of North Carolina Wilmington

  • Grading the Forecaster: Calibrated Spatial Uncertainty for Earth Observation Foundation Models 

Emmanuel Agyekum, Indiana University Indianapolis

H3-1 Geospatial Access to Healthcare Services

Organizer: Mengxi Zhang, Virginia Tech

  • Access to dental care services and its association to healthcare utilization 

Peretti Lucas &Thompson Emily, Virginia Polytechnic Institute and State University

  • Geospatial access to emergency mental health services in the United states

Meixian Li, UIUC

  • When Proximity Is Not Access: Geospatial and Health-System Perspectives on Cancer Clinical Trial Participation 

Weichuan Dong, Houston Methodist  

  • Dental Service Area Analysis among Medicaid Patients in Virginia 

Shashank Karki, Virginia Polytechnic Institute and State University

H3-2 Innovative Integration of AI and GIS for Urban Studies 

Organizer: Junghwan Kim, Virginia Tech

  • Work in Progress: Developing an AI Agent for Living Literature Reviews

Shashank Karki, Virginia Tech

  • An AI-Powered GTFS Data Editor to Improve Transit Agencies’ Data Analysis Capabilities

Sandesh Sharma Dulal, Virginia Tech

  • An LLM-integrated Framework for Rapid Situational Awareness of Damaged Infrastructure

Matthew Angel, Virginia Tech

H3-3 Spatio-temporal Data Sciences for Urban Transportation Systems and Behavioral Modeling

Organizer: Armita Kar, George Mason University; Hongyu Zhang, UMass Amherst

  • Leveraging Connected Vehicle Data in Richmond, VA to Improve Travel Demand Modeling

Valentina Farias, George Mason University

  • An LLM-Guided Approach for Understanding Public Perceptions of Urban Transportation Facilities

Yingrui Zhao and Kathleen Stewart, University of Maryland

  • Vision Language Models for Urban Infrastructure Auditing: A Micro-scale Evaluation of Multimodal Transit Environments

Armita Kar, George Mason University

  • How Infrastructure and Streetscape Shape Shared Micromobility Route Choice: Evidence from Washington, DC

Xiang (Jacob) Yan, University of Florida

  • Healthcare-seeking Behavior Across Healthcare Facility Types: Evidence from Large-Scale Smartphone Mobility Data

Tao Hu, Oklahoma State University

DAY 2 – Saturday, August 8, 2026

Keynote Speeches 9:00 AM – 10:00 AM, August 8, 2026 EDT

  • Shaowen Wang, Professor and Associate Dean of Liberal Arts & Sciences, UIUC

“Spatial AI and Data Science: From Principles to Practice”

  • TBD

Break 10:00 AM – 10:20 AM, August 8, 2026 EDT

Co-Current Sessions 10:20 AM – 12:00 PM, August 8, 2026 EDT

H4-1 Innovations in Spatiotemporal Analytics and Geospatial Visualization

Organizer: Zach Sherman, Virginia Tech

  • Honeycomb Maps: Client-Side WebAssembly Architecture for Scalable, Instant Geospatial Visualization
    Carston Hernke, Honeycomb Maps
  • Connecting the World through Maps: Enriching Geospatial Intelligence with Demographics & Culture  
    Ryan DeLine, OTBX | Analytics & Data Visualization Society Geospatial Interest Group
  • From Numerical Weather Prediction to Renewable Energy Forecasting at Scale
    Thomas Sherman, Enverus
  • Infrastructure Financial Quality Assurance with Geospatial Intelligence
    Sunil Menon, ProAI Systems
  • OptiRiver: A Spatiotemporal Digital Twin for Dynamic Bathymetry and Navigation Optimization in Sedimentary Waterways
    Pieter Jan De Nul, Optiriver USA LLC
  • Vibe Analytics: Is It The Future For Geostatistics?
    Pierre Goovaerts, BioMedware, Inc.
  • Cloud-Native Spatiotemporal Analytics and Digital Twin Foundations with Oracle Spatial Studio
    Smridh Malhotra, Oracle Inc.

H4-2 Panel: AI Impact on college research and education 

Organizer: Kathleen Stewart, University of Maryland

  • May Yuan,University of Texas at Dallas
  • Peter Kendron,University of California at Santa Barbara
  • Terence Day, Okanagan College, Canada
  • Eric Shook, University of Minnesota 

H4-3 Infrastructure and Socio-Environmental Dynamics under Climate Hazard

Organizer: Alireza Ermagun, George Mason University

Lunch 12:00 PM – 1:00 PM, August 8, 2026 EDT

Educational Sessions 1:00 PM – 3:00 PM, August 8, 2026 EDT

H5-1 The Scholastic AI Innovation Lab (SAIL) Competition 

Organizer: Nan Ding, District First

  • Alessandro Michele Perez Polverini, Jamie Roa Silva, Virtual Clinic: An AI simulation that lets students practice real medical scenarios in a safe, virtual environment so they can build hands-on clinical skills.
  • Rayan Malik, Kaustubh Bukkapatnam, Pranav Gadde, Steve Goldblat, SurveyIQ: An AI tool that checks survey responses to spot careless or random answers so schools can trust their data.
  • Christopher Yang, Thomas Crosno, Caleb Guan, Roshen Virupannavar, Nicole Kim,TransitIQ: An AI tool that creates smarter school bus routes to reduce delays and make student transportation more reliable.
  • Max Griffiths, School Bus Route Operation, DistrictFirst, Virginia Tech 
  • Nan Ding, AI in School Operations, DistrictFirst

H5-2: AI in K-12 Education and Operation 

Organizer: Nan Ding, District First

  • Vernon Bock, COO, Prince William County Public Schools, Virginia
  • Brain Schwenk, Elementary Science Specialist/RSEF Special Awards Coordinator, Office of Science Curriculum & Instruction, Fairfax County Public Schools, Virginia
  • Chief of Education, Orange County, Florida
  • Anthony E Kelly, AI in K-12 Education Research, GMU College of Education

Posters:

  • AutoCarto-Agent: A Neuro-Symbolic Architecture for Autonomous Thematic Cartography with Deterministic Spatial Validation 

Abdul Kalam Mustaq, Rutgers University

  • GeoTranslator: A Translation-Layer Paradigm for Methodological Agency in AI-Assisted Spatial Research 

Congyuan Zheng, University of Colorado Boulder

  • Hybrid GeoAI-Based Agricultural Field Boundary Delineation Using SAM Segmentation and LiDAR-Derived Terrain Boundaries 

Md Sahada Hossan, Arkansas State University – Jonesboro

  • Extending the Environmental Quality Health Index to Chronic Disease Outcomes in US Urban Areas 

Beisheng Lai, University of Southern California, Spatial Science Institute (SSI)

  • GeoAI for Autonomous Identification and Assessment of Development Potential Land in Transit-Influence Zones 

Rb Vaditya, School of Planning and Architecture, New Delhi 

  • Automated School Bus Stop Safety Evaluation Using Geospatial AI and Street-Level Imagery 

Rahul Deb, Stuyvesant High School

  • A Spatially Rigorous Test of Mobility-Aware Aerosol Exposure and Asthma Across Massachusetts Census Tracts 

Kyra Jun, Harvard College

DAY 3 – Sunday, August 9, 2026

Online Sessions 9:00 AM – 12:00 PM, August 9, 2026 EDT

V1-1, Urban Intelligence for Environment, Health, and Public Safety 

Organizer: Yanqing Xu, Wuhan University

  • Spatial Assessment of Environmental Sustainability in Urban Landscapes

Anugya Shukla, Indian Institute of Technology Jodhpur, India

  • Space-Time Analysis Of Land Use Efficiency In Sub-Saharan African Cities: Implications For Sustainable Urban Development 

Danie du Plessis, Stellenbosch University, South Africa

  • Spatio-temporal Assessment of Urban Public Safety: tales from Brazil 

Silas Melo, State University of Maranhão

  • Air Pollution Effects on Influenza-like Illness Modified by Temperature and Humidity in Central China 

Mojie Song, School of Remote Sensing and Information Engineering, Wuhan University

  • Uncovering Socio-Spatial Inequality In Crime Capitalization: Evidence From Cincinnati 

Yating Wei, Wuhan University

V1-2 Geospatial Data and Earth Observation for Environmental Monitoring and Sustainability 

Organizer: Chang Liu, MIT

  • Geospatial Optimization of Heavy-Duty Charging Infrastructure for Sustainable Freight Transportation 

Pei Zhao, Massachusetts Institute of Technology (MIT)

  • Earth Observation for Near-Real-Time Monitoring of Large-Scale Tropical Forest Disturbances 

Na Chen, Massachusetts Institute of Technology (MIT)

  • Revealing Nonlinear Dynamics Of Surface Urban Heat From Earth Observation

Song Jiang, University of Illinois Urbana-Champaign

  • Multi-Source Earth Observation for Near-Real-Time Wildfire Detection and Operational Intelligence 

Ting Bai, The University of New South Wales (UNSW) Sydney, Australia

V1-3 Spatial Social Science Applications 

Organizer: Minxuan Lan, University of Toledo

  • Do Faregate Replacements Affect Crime? Evidence from WMATA Metrorail 

Taku  Nishimura, Erasmus University Rotterdam

  • Terrain-Aware Urban Road Network Analysis Using DEM-Derived Road Grade: A Case Study of Pittsburgh, Pennsylvania 

Anika Sharmila Sama, University of Toledo

  • Analyzing Spatial Patterns and Factors Influencing Pedestrian Crash Severity in Ohio (2021-2025) 

Tajkia Jahan Rakhi, The University of Toledo

  • A Spatial Analysis of Drinking Water Non-Compliance in Toledo, Ohio 

Theodoramary Fletcher, University of Toledo

  • Hollywood Casino Toledo and Its Nearby Crime Since 2012 

Minxuan Lan, The University of Toledo

V2-1 Smart Cities Planning and Management 

Organizer: Junghwan Kim, Virginia Tech

  • Where Does Smart-Space Value Capitalize? A Spatiotemporal Hedonic Analysis of Regional Heterogeneity in the Seoul Capital Region and Its Extension to AI-Native Real Estate

Jaehwan Kim, Kongju National University, South Korea

  • Electric vehicle charging station location selection using generative artificial intelligence

Euntak Lee, Korea University at Sejong, South Korea

  • Beyond Administrative Boundaries: Implications of the Uncertain Geographic Context Problem for Neighborhood Research and Policy

Seul Lee, Seoul Institute 

  • Smart Cities for All: Environmental misfit, accessibility and emergency preparedness

Eunju Hwang, Virginia Tech 

V2-2 Spatiotemporal Data Science for Human–Environment Systems 

Organizer: Zhen Wu, The Chinese University of Hong Kong

  • Spatiotemporal Evolution of the 15-minute City in Science Cities: Evidence from Beijing 

Ye Fan, Tsinghua University

  • Spatial Stability of Cultivated Land Resources in China: Regional Characteristics and Driving Factors 

Jin Zhu, Nanjing University

  • Unequal exposure to future extreme sea levels in Hong Kong: Integrating coastal inundation with social–urban vulnerability 

Zhen Wu, The Chinese University of Hong Kong

  • Heterogeneous Cooling Effects of Street Greenery across Local Climate Zones: Evidence from a Causal Forest Framework in Shenzhen 

Qi Zhao, The Chinese University of Hong Kong

  • Global Rare Earth Supply Chains: Spatiotemporal Reorganization and Distributional Equity 

Qianhui Yuan, School of Economics and Management, Nanjing University of Science and Technology

V2-3 AI for Cities 

Organizer: Prafulla Parlewar, The School of Planning and Architecture, India

  • Mapping Transit Oriented Development Priority Zones In Delhi, Using AI-Based Multilayer Intelligence Framework 

Apoorva Dubey, The School of Planning and Architecture, New Delhi (SPA New Delhi)

  • Predictive Monitoring for Historic Urban Landscapes 

Shreemoyee Bag, School of Planning and Architecture, New Delhi

  • Quantum Machine Learning For Crime Hotspot Prediction From Spatiotemporal Data 

Priyanshu Sarma-Sarkar, Maulana Abul Kalam Azad University of Technology

  • GeoAI-Based Platform-Induced Neighborhood Stress Index for Quick Commerce in South Delhi 

Pal Apurva, Department of Urban Planning, School of Planning and Architecture, New Delhi, India

  • AI for Low Polluting Compact City-Delhi 

Korri Anirudh Yadav, School of planning and architecture, New Delhi 

  • Deep Learning Model for Mixed Use Pattern Language 

Swastik Suryesh, School of Planning and Architecture, Delhi

  • Bayesian Networks for Zoning Optimization in Volumetric Urbanism 

Apoorva Dubey School of Planning and Architecture, SPA, Delhi

V3-1 Spatial Data Sciences for Spatial Networks and Human Mobility 

Organizers: Zhongfu Ma & Meicheng Xiong, University of Minnesota

  • Behavioral Predictors of Academic Performance: Interpretable Neural Network Models of GPA Using Large-Scale Survey Data 

Fernando Plascencia, University of Guadalajara

  • Multi-Source Domain Adaptation for Mobile-to-Ambient Air-Pollution Mapping 

Tie Zheng, Stanford University

  • A Visitor-enriched Census in the U.S. Cities Using Large-scale Mobile Positioning Data 

Meicheng Xiong, University of Minnesota Twin Cities

  • Discovering Governing Spatial Interaction Mechanisms in Dynamic Urban Systems 

Zhongfu Ma, University of Minnesota Twin Cities

  • A Place-Based Encounter Network Framework for Analyzing Neighborhood Connectivity and Experienced Segregation

Yue Jing, University of North Dakota

  • Invariant Knowledge Learning for Cross-City Forecasting: A Spatial Topology Perspective

Qianqian Zhou, Fujian University of Technology

  • The Weighted Mile: Deconstructing the Gravity Model with Purpose-Specific Mass

Jacob Harris, University of Minnesota Twin Cities

V3-2 Interdisciplinary Studies on Human-Centric Spatiotemporal Intelligence  

Organizer: Luyao Zhang, Duke Kunshan University 

  • [History] Archaeological Spatiotemporal Intelligence: The Uncertain Past as Data 

Yuqi Chen, University of Hong Kong 

  • [Land] The External Costs of Crop Protection: Evidence from Fall Armyworm Invasion 

Yuhang Pan, Peking University

  • [City] Deep Learning in Modeling Urban Growth Dynamics 

Xintao Liu, The Hong Kong Polytechnic University

  • [Planet] Democratizing Spatiotemporal Intelligence: Multi-Agent AI for Human-Centric Remote Sensing Data Access 

Dongping Liu, Tensorshare, Former AWS

  • [Dimension]  Scaling-up 3D for Physical Intelligence: Reconstruction, Generation, and Agentic World Modeling 

Yao Yao, Nanjing University

  • [Stewardship] SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience 

Luyao Zhang, Duke Kunshan University

V3-3 Spatial Data Lab Intern Project Presentations

Organizer: Siqin Wang, University of South California

  • Multi-Home Field Emission Factors for Residential Gas-Stove Ultrafine Particles 

Tie Zheng, Stanford University

  • Mapping Local Determinants of Near-Real-Time Satellite Rainfall Errors over India: A Local Indicator of Stratified Power and Explainable GeoAI Framework 

Shuvojit Nath, Monash University, Australia

  • Smartphone Mobility Data Reveals How Home-Location Heat and Park Cooling Shape Park Visitation in Los Angeles 

Yong Li, Lanzhou university

  • Streetscape Perception Conditions The Causal Impacts Of Low-Stress Bicycle Infrastructure 
  1. Mavin De Silva, Nagaoka University of Technology
  • How Extreme Heat Reshapes Weekly Visitation Patterns at Gyms and Restaurants Across California 

Jacob Spier, Center for Geographic Analysis, IQSS

  • Topology-Aware Micro-Poverty Mapping via Graph Convolutional Networks on Urban Road Network Graphs: Evidence from Jakarta Pusat 

Ananda Shabrina Putri  Gunawan, Faculty of Geography, Universitas Gadjah Mada