9:00AM, July 23, 2024
Room 134, George Mason Square, 3351 Fairfax Dr, Arlington, VA
Welcome Address
Andre Marshall, Vice President, George Mason University
Daniel Sui, Senior Vice President, Virginia Tech
| A-1-i: Plenary Vision Panel: Vision and Impact of Spatiotemporal Data Sciences Moderator: Michael Goodchild, UCSB Discussion July 23, 2024 10:45-12:00PM | AI is transforming urban observation, imaging, mapping, and analysis Qihao Weng, The Hong Kong Polytechnic University Recording Advancing Social Sciences with Spatiotemporal Data Sciences Daniel Sui, Virginia Tech Recording Advancing Ecosystem Services Assessment Through Geospatial Artificial Intelligence (GeoAI): A Comprehensive Review and Future Directions Hao-Yu Liao, University of Florida Recording Enabling Societal Challenge Solutions with Spatiotemporal Data Sciences Chaowei Yang, George Mason University Presentation | Recording |
| Session 1: PH-1-i: Advances in Public Health Chair: Fahui Wang, Louisiana State University July 23, 2024 1:15-2:45PM | Geospatial Patterns in Brain and Nervous System Cancer Incidence and Mortality Rates Every 5 Years from 1999-2018, and the Relationship between Mortality and Gender from 2014-2018 in the United States Grace Christensen, Brigham Young University Graph Neural Network for Spatial Network Community Detection in Healthcare Service Area Delineation Lingbo Liu, Harvard University Scaling Up and Down in Cancer Data Analysis Fahui Wang, Louisiana State University Recording Beyond Maps: Developing a conversational AI-based data dashboard for public health policymakers. Zach Sherman, Virginia Polytechnic Institute and State University Recording |
| Session 2: HA-1-i: Accessibility Chair: Changzhen Wang, The University of Alabama July 23,2024 3:00-4:30PM | Unraveling transit service and land use components of the socio-spatial inequality of access Fatemeh Janatabadi, George Mason University Predicting Electric Load on Electric Vehicle Charging Stations using Machine Learning, Louis Sanchez, George Mason Univ. Overlapping cancer service areas: Delineation and implications Changzhen Wang, The University of Alabama |
| Session 3: B-1-i: Advances in Computational Urban Science Chair: Xinyue Ye, Texas A&M University July 23, 2024 1:45-2:45PM | Platform capitalism-based land management model for smart cities Parlewar Prafulla, School of Planning and Architecture, New Delhi, India Recording Telework context and Senior Entrepreneurship Ting Zhang, University of Baltimore Recording Implications for Spatial Non-stationarity and the Neighborhood Effect Averaging Problem (NEAP) in Green Inequality Research: Evidence from Three States in the U.S. Sophiya Gyanwali, Virginia Tech Recording Disparities in Recreational Use of Urban Parks: A Big Data Approach Siddhartha Bora, West Virginia University Recording Social Cyber Vulnerability Index (SCVI) and Geospatial Analysis to Mitigate Cyber Threats in Social Spaces Jin-Hee Cho, Computer Science Department, Virginia Tech Recording Promoting Urban Informatics Plus: Practices and Strategies Xinyue Ye, Texas A&M University Recording |
| Session 4: CLT-1-i: Classification, labeling and training data Chair: Theodore Spanbauer, George Mason University July 23, 2024 3:00-4:30PM | Cycling Infrastructure Evaluation: Applying Deep Learning Methods to Categorize Bike Lanes in Virginia State Lawal Abdul-Azeez, Virginia Tech ClassX: Automatic Image Labeling Tool Theodore Spanbauer, George Mason University Recording High urban flood risk and no shelter access disproportionately impacts vulnerable communities in the USA Fatemeh Janatabadi, George Mason University Recording Innovative Approaches to Automated Data Labeling and CNN Implementation Rakshita Chidananda, George Mason University Recording |
| Session 5: C-1-i: Air Quality Analyses Chair: Meghan Albritton, Virginia Tech July 23, 2024 1:15-2:45PM | Associations Between Surface Mine Density and Respiratory Health in Central Appalachia Meghan Albritton, Virginia Tech A Systematic Study of Popular Packages and AI/ML Models for Calibrating in-situ Air Quality Data: An example with Purple Air Sensors Smith Seren, George Mason University Presentation |
| Session 6: C-2-i: Air Quality Prediction and Exposure Analyses Chair: Junghwan Kim, Virginia Tech July 23, 2024 3:00-4:30PM | Enhancing PM2.5 Prediction through Multisource Fusion of Aerosol Data Using Seq2Seq Encoder-Decoder Models Anusha Srirenganathan Malarvizhi, George Mason University The Air We Breathe: GeoAI Tools for Accurate and Timely Air Quality Analysis across North America Tayven Stover, George Mason University AirWise: A Geo-Intelligent Deep Learning Framework for High-Resolution PM2.5 Prediction Phoebe Pan, George Mason University A new green space exposure index utilizing AI methods and an eye-tracking device Junghwan Kim, Virginia Tech |
| Session 7: U-1-i: Bias and Uncertainty Chair: Francisco Rowe, University of Liverpool July 23, 2024 1:15-2:45PM | What do we know about the biases and representation in human mobility data extracted from digital platforms? Francisco Rowe, Geographic Data Science Lab, University of Liverpool Uncertainty Quantification for PM2.5 Calibration of Low-Cost PurpleAir Sensors Against EPA Standards Kaylee Smith, George Mason University, University of Michigan Ann Arbor Graph Convolutional Networks for spatial interpolation of correlated data Marianne ABEMGNIGNI NJIFON, The Institute for Mathematical Stochastics – The University of Goettingen Good Evidence – Sources of Bias in Big Spatiotemporal Data Peter Kedron, University of California Santa Barbara Exploring the Spatiotemporal Dynamics of Google Trends Data: An Application in Estimating Childcare Demand Sean Reid, University of California, Santa Barbara Generative AI tools can enhance climate literacy but must be checked for biases and inaccuracies Atkins Carmen, Virginia Tech |
| Session 8: PLP-1-i: Positioning, place and location Chair: Shashank Karki, Virginia Tech July 23, 2024 3:00-4:30PM | Sudan Research Ahmed Samir, George Mason University Place Identity: A Generative AI’s Perspective Keemoon Jang, MIT Senseable City Lab Tracking Human Movement Indoors Using Terrestrial Lidar Shashank Karki, Virginia Polytechnic Institute and State University Replicable GPS Data Processing Workflow Using KNIME Will Jones, Harvard University and Virginia Tech |
| Session 9: W-1-i: FAIR and Replicability Chair: Tao Hu, Oklahoma State University July 23, 2024 1:15-2:45PM | KNIME & AI – An Overview of KNIME’s AI Functionalities Elisabeth Richter, KNIME Inc. Replicable Spatial Data Analysis with Geospatial Analytics for KNIME Xiaokang Fu, Harvard University Automating Geographic Mapping from Descriptive Texts: A Novel Approach Zifu Wang, George Mason University FAIR Principles in Action: A Geocomputational Workflow Engine (GWE) for Reproducible and Replicable Studies Tao Hu, Oklahoma State University Recording Improving user interaction for labeling workflow Evelyn Fontaine, George Mason University |
| Session 10: SDL-1-i: Spatial Data Lab: Platform and Network for Spatiotemporal Data Science Chair: Chaowei Yang, George Mason University July 23, 2024 3:00-4:30PM | Structure and Strategy Wendy Guan, Harvard University; Shuming Bao, Future Data Lab Development: Data, Tool and Case Studies Lingbo Liu and Xiaokang Fu, Harvard University Affiliate Lab Program Mengxi Zhang, Virginia Tech; Xinyue Ye, Texas A&M University Internship and Fellowship Research Program Siqin Wang, University of South California; Xiao Huang, Emory University Research Collaboration and Network Development Yongze Song, Curtin University; Ting Zhang, University of Baltimore Discussants: ● Peter Keton, University of California at Santa Barbara ● John Wilson, University of South California |
| Session 11: FMS-1-i: Foundation models and spatially-explicit AI Chair: Gengchen Mai, University of Texas at Austin July 23, 2024 1:15-2:30PM | Advancing Decentralized Control in Swarm Robotics with Spatio-Temporal Graph Neural Networks Chang-Tien Lu, Virginia Tech Toward Geo-Foundation Models with Spatially-Explicit and Knowledge-Guided Learning Yiqun Xie, University of Maryland TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Gengchen Mai, University of Texas at Austin Using a bias-variance trade-off to model multiscale neighborhood effects across spatial supports Taylor Matthew Oshan, University of Maryland The Rise of the Data Science Assistant: LLM Agents in Action Hongxu Ma, Google Inc. |
| Session 12: D-1-i: Large language model Chair: Zhaoya Gong, Peking University Shenzhen July 23, 2024 3:00-4:30PM | Reading remote sensing imagery like reading a text document: how can pretrained vision-language models assist geospatial pattern mining from imagery? Xiao Huang, Emory University Optimizing LLM Classification with BERT and Targeted Data Preparation Yahya Masri, George Mason University CartoAgent: a multi-modal large language model empowered multi-agent mapping framework and its application in map style transfer and evaluation Zhaoya Gong, School of Urban Planning and Design, Peking University Shenzhen Graduate School Comparing the spatial querying capacity of ChatGPT-3.5, ChatGPT-4, and Gemini: An empirical study of 3,108 U.S. counties Andrea Renshaw, Virginia Polytechnic Institute and State University |
| Session 13: A-2-o: Spatiotemporal Data Science Vision Chair: Wei Luo, National University of Singapore July 24, 2024 11:14-12:30PM | Unraveling varying spatiotemporal patterns of dengue and associated exposure-response relationships with environmental variables in Southeast Asian countries before and during COVID-19 Wei Luo, National University of Singapore Recording 1 | Recording 2 Geodesign in the Era of Artificial Intelligence Tianchen Huang, Texas A&M University Adaptation of Telecoupling Toolbox – ArcGIS Toolbox into KNIME: Enhancing Accessibility and Reproducibility in Studying Socioeconomic-Environmental Interactions Nan Jia, Michigan State University Developing Open-access datasets from private Big Data Repositories: Challenges and Opportunities Jack Hayes, Harvard Center for Geographic Analysis Recording Uncertainty and Replicability of GeoAI Models on Spatially Varying Effects: A Synthetic Data Case Study Tian Tian, Harvard University & Wuhan University Recording |
| Session 14: B-2-o: Economic analyses Chair: Rama Martin, The World Bank July 24, 2024 11:15-12:30PM | Spatial Econometric Analysis of the Impact of Health Infrastructure on TBC Patients: Study Case in Indonesia Provinces Level Yessi Rahmawati, Airlangga University GeoAI-driven Location-Manpower Optimization for Efficient Resource Allocation in the BFSI Sector Prageet Aeron ; Rohit Sindhwani ; Nakul Gupt ; Sneha Dhyani Bhatt; Sangeeta Shah Bharadwaj, Management Development Institute, Gurgaon, India Measuring global economic activity using air pollution Rama Martin, The World Bank The Impact of Highway Access on Industrial Coagglomeration Minjia Guo, University of Glasgow Global Public Sentiment on Decentralized Finance: A Spatiotemporal Analysis of Geo-tagged Tweets from 150 Countries Luyao Zhang, Duke Kunshan University |
| Session 15: C-3-o: Climate Change: Urban Heat Stress Chair: Cong Cao, Caltech July 24, 2024 11:15-12:30PM | Climate change increases air pollution and heating demands in Norwegian cities: A deep learning-based analysis Cong Cao, Caltech Recording Leveraging GeoAI to Analyze Heat Exposure Patterns and Hospitalizations in Texas Ehsan Foroutan, Oklahoma State University Mitigating extreme heat by integrating human perception in digital twins Yuning Ye, Texas A&M University Recording 1 | Recording 2 Prediction of Thermal Comfort in Nature Conservation Area Based on Multiple Machine Learning Models and Social Media Data Jun Yang, Virginia Tech Recording |
| Session 16: OS-1-o: Open Source Science Chair: Xintao Liu, Hong Kong Polytechnic University July 24, 2024 11:15-12:30PM | CONNECT: Open-source planning models for Next-generation Equitable and efficient Communities and Transportation Xuesong (Simon) Zhou, Arizona State University Recording 1 | Recording 2 GIS-KG: building a large-scale hierarchical knowledge graph for geographic information science Jiaxin Du, Grand Valley State University Recording An AI-enabled Geospatial Platform for Smart Mobility of People with Disabilities (PwDs) Xintao LIU, Hong Kong Polytechnic University Flying High with GIS: Drones for Spatiotemporal Modeling Education Yang Bo, San Jose State University |
| Session 17: W-2-o: Computing and workflow Chair: Lingbo Liu, Harvard University July 24, 2024 1:30-3:00PM | Computing Infrastructure in Spatiotemporal Research Joseph Rogers, George Mason University Recording | Presentation Containerizing AI-Driven Image Labeling Tool for Efficient Research Deployment Gian Sung, George Mason University Recording Adaptation of Telecoupling Toolbox – ArcGIS toolbox into KNIME: Enhancing Accessibility and Reproducibility in Studying Socio-economic-Environmental Interactions Nakul Gupta and Nan Jia, Management Development Institute, Gurgaon, India and Michigan State University Recording Standardization and Modularization of Legacy Flask App to Improve Server-Side Module Workflow Rumi Khamidov, George Mason University Recording | Presentation DPHPT, a Docker Approach to Automated, Parallel Hyperparameter Tuning of Deep Learning Models for Air Quality Theodore Trefonides, George Mason University Recording |
| Session 18: MM-1-o: Modeling and methods Chair: Hanchen Yu, HKUST(GZ) July 24, 2024 1:30-3:00PM | Deep investigations on the autocorrelation feature of spatial data Zehua Zhang, Curtin University Exploring Multiscale Spatial Interactions: Multiscale Geographically Weighted Negative Binomial Regression Hanchen Yu, HKUST(GZ) A multivariate spatiotemporal ARCH model Philipp Otto, School of Mathematics and Statistics Research on Measuring Industrial Structure Similarity between regions based on Wasserstein distribution Algorithm Chen Lu, Southeast University Improving short-term bike sharing demand forecast through an irregular convolutional neural network Xinyu LI, Texas A&M University |
| Session 19: HA-2-o: Health Accessibility & Analytics Chair: Tianyu Su, Harvard University July 24, 2024 1:30-3:00PM | Enhancing Neighborhood Walkability for the Elderly: Assessing and Visualizing a Multi-Criteria Spatial Quality Model with Visual AI and Big Geospatial Data Tianyu Su, Harvard University Recording Uncovering Healthcare Accessibility Dynamics: A Study of Patients’ Travel Behavior and Urban-Rural Distance Decay in the United States Yaxiong Shao, Northern Illinois University Recording Measuring Spatial Inequalities in Accessibility to Water Point Sources Among the Households in Sibi, Ghana Kanjin Kingsley & Minxuan Lan, The University of Toledo Recording Factors Impacting Pharmacy Success in Lowndes County, Georgia Bennett, Cameron and Lu, Jia, Valdosta State University Recording Integrating Spatial Data Science in One Health Research: A Case Study of Human Leptospirosis in southern Chile Anni Yang, University of Oklahoma Recording Discussion |
| Session 20: PCS-1-o: Public and cyber safety Chair: Minglei Liao, The Hong Kong Polytechnic University July 24, 2024 1:30-3:00PM | Measuring perceived racial heterogeneity and its impact on crime: an ambient population-based approach Xin Gu, University of Cincinnati Recording Street Crime Prediction Using Mass Transit Infrastructures and Spatial-Temporal Machine Learning Method Xiangyu Ren, San Jose State University Recording Digitalization era: Investigating the spatial interplay between cyber human activity and economy with a hierarchical framework Minglei Liao, The Hong Kong Polytechnic University Recording STGraph: A Spatial-Temporal Graph Approach Using Urban Infrastructure Data Siji Chen, Virginia Tech Recording Migrant-native Disparities in Neighborhood Satisfaction in the Netherlands: the Role of Subjective Perceptions on Safety and Population Composition Weiyi Cao, Wageningen University & MIT |
| Session 21: F-1-o: Flooding Chair: Wenyu Zhang, Texas A&M University and National University of Singapore July 24, 2024 3:15-4:30PM | 3D Flooded Area Modeling through Multi-modal Generative AI Shoujia Li, Texas A&M University Recording Development of a Web-Based Flood Monitoring and Assessment System Utilizing Satellite Observation via the Google Earth Engine Platform WENYU ZHANG, Texas A&M University and National University of Singapore Recording Understanding the spatial disparity in socio-economic recovery of coastal communities following typhoon Meranti Shengping Ding, University of Copenhagen Recording |
| Session 22: CLT-2-o: Image Classification, Labeling and Training data Chair: Weishan Bai, Texas A&M University July 24, 2024 3:15-4:30PM | Neuro-Cognitive Enhancement of Remote Sensing Image Classification Weishan Bai, Texas A&M University Automated Farmland Segmentation Using Advanced Satellite Imagery for Precision Agriculture Espoir MWUNGURA NGABO, University of Rwanda Urban weather prediction in Houston Metro area: an evaluation of the urban weather generator model Cuiling Liu, Texas A&M University Analysis of Multispectral and Hyper-spectral Imaging in Convolution Neural Networks Shyra LaGarde, Georgia Institute of Technology Presentation |
| Session 23: S-1-o: Smart cities and built environment Chair: Hanlin Zhou, University of Toronto July 24, 2024 3:15-4:30PM | Explainable machine learning for understanding the associations of shared e-scooter–public transport integration with built environment and socio-demographics Pengxiang Zhao, GIS Centre, Department of Physical Geography and Ecosystem Science, Lund University Recording Correlation and causality between the built environment and traffic congestion: A case study of New York City Weihua Huan, Tongji University Recording Using GeoAI to Understand the Associations between Built Environment and Active Transport Hanlin Zhou, University of Toronto Recording Intelligent system based on Knime for detecting Potholes in Morocco roads: Case of El Jadida City Mifdal Yassine, Aaroud Abdessadek, Tounsi Yassine, University of Chouaib Doukkali, El Jadida – Morocco Recording |
| Session 24: GAI-1-o: Geo for AI vs. AI for Geo: When GeoAI Meets Spatiotemporal Analysis and Modeling Chair: Di Zhu, University of Minnesota Discussion July 24, 2024 3:15-4:30PM | On the Interpretability and Explanability of GeoAI for Spatiotemporal Analysis Ziqi Li, Florida State University Recording Talk about GeoAI: from the World Generation Process Peng Luo, MIT Senseable City Lab Recording Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota Tianyi Li, University of Minnesota Recording Geospatial uncertainty modeling in GeoAIGuofeng (N) Guofeng Cao, University of Colorado Boulder Recording Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster Zhaonan Wang, NYU Shanghai |
| Concluding Session July 24, 2024 4:30PM | Closing Remarks Chaowei Yang, George Mason University & Shuming Bao, Future Data Lab Recording |