# The 2024 International Symposium on Spatiotemporal Data Science Program ## **The 2024 International Symposium on Spatiotemporal Data Science** Virginia Tech Research Center – Arlington & George Mason Square July 22 - 23, 2024 **DAY 1 – Monday, July 22, 2024** **9:00 AM-5:00 PM Pre-symposium Workshop** **Spatiotemporal Innovation and GeoAI Applications** **Location**: Virginia Tech Research Center – Arlington, 900 N Glebe Rd, Arlington, VA 22203 **I.** **Replicable Data Analysis with Geospatial Analytics for KNIME** **Instructor:** Lingbo Liu, Center of Geographic Analysis, Harvard University **II.** **Develop GeoAI Tools using ChatGPT and Python Packages** **Instructors:** - Siqin Wang, Spatial Sciences Institute, University of Southern California - Yongze Song, School of Design and the Built Environment, Curtin University **III.** **Cloud Computing with Google Earth Engine and GeoAI** **Instructors:** - Xiao Huang, Department of Environmental Sciences, Emory University - Qiusheng Wu, Department of Geography & Sustainability, University of Tennessee **IV. Geospatial Methods and Tools for the Spatial Assessment of Healthcare Accessibility** **Instructors:** - Fahui Wang, Graduate School, Louisiana State University - Changzhen Wang, Department of Geography, University of Alabama - Mengxi Zhang, Carilion School of Medicine, Virginia Tech [**5:00 PM-7:00 PM KNIME Data Connect**](https://www.meetup.com/washingtondc-knime-user/events/301505094/) **Enrich Data Analytics with GenAI / KNIME Data Connect** **Location**: Virginia Tech Research Center – Arlington, 900 N Glebe Rd, Arlington, VA 22203 **5:10 PM - 5:40 PM - Talk 1:** [Detecting Frauds in Investment Contracts - Enrich Data Analytics with GenAI](/sites/projects.iq.harvard.edu/files/elisabeth_richter_detecting_frauds_in_investment_contracts.pdf) by Elisabeth Richter **5:40 PM - 6:10 PM - Talk 2:** Leveraging Geospatial Analytics in KNIME by Prof. Mengxi Zhang Sort **DAY 2 - Tuesday, July 23, 2024 (On Site and Online), Plenary Session** 9:00 AM **Welcome Address** Daniel Sui, Senior Vice President, Virginia Tech Andre Marshall, Vice President, George Mason University Facilitator: Phil Yang, George Mason University; Mengxi Zhang, Virginia Tech 9:30 AM **Keynote:** John Wilson, University of South California Facilitator: Siqin Wang, University of South California 10:00 AM **Keynote: GeoAI, the Social Sciences, and Ethics** Michel Goodchild, UC Santa Barbara Facilitator: Peter Kedron, UC Santa Barbara 11:00 AM **A-1 Plenary Vision Panel: Vision and Impact of Spatiotemporal Data Sciences** Moderator: Michael Goodchild, UCSB **AI is transforming urban observation, imaging, mapping, and analysis** Qihao Weng, The Hong Kong Polytechnic University **Advancing Social Sciences with Spatiotemporal Data Sciences** Daniel Sui, Virginia Tech **Advancing Ecosystem Services Assessment Through Geospatial Artificial Intelligence (GeoAI): A Comprehensive Review and Future Directions** Hao-Yu Liao, University of Florida **Enabling Societal Challenge Solutions with Spatiotemporal Data Sciences** Chaowei Yang, George Mason University 12:00 PM **Lunch Break and Virtual Keynote (First Floor Classrooms)** **Daniel Q. Duffy, NASA Goddard CISTO Chief** **Facilitator: Phil Yang** **DAY 2- Tuesday, July 23, 2024, Parallel Track 1** 1:00 PM **Session 1 (118): PH-1-i, Advances in Public Health** **Chair:** Fahui Wang, Louisiana State University **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 **Pediatric Oral Health Service Access in Racial/Ethnic Minority Neighborhoods: A Geospatial Analysis in the District of Columbia** Meirong Liu, Howard University - Washington, DC **Scaling Up and Down in Cancer Data Analysis** Fahui Wang, Louisiana State University **Beyond Maps: Developing a conversational AI-based data dashboard for public health policymakers.** Zach Sherman, Virginia Polytechnic Institute and State University 3:05 PM **Session 2: HA-1-i, Accessibility** **Chair:** Changzhen Wang, The University of Alabama **Unraveling transit service and land use components of the socio-spatial inequality of access** Fatemeh Janatabadi, George Mason University **Potential and Revealed Accessibility to Cancer Care in the United States and The Johns Hopkins Sidney Kimmel Comprehensive Cancer Center** Michael Desjardins, Johns Hopkins Bloomberg School of Public Health **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 **DAY 2- Tuesday, July 23, 2024, Parallel Track 2** 1:00 PM **Session 3: B-1-i, Advances in Computational Urban Science** **Chair:** Ting Zhang, University of Baltimore [Platform capitalism-based land management model for smart cities](/sites/projects.iq.harvard.edu/files/prafulla_parlewar.pdf) Parlewar Prafulla, School of Planning and Architecture, New Delhi, India **Telework context and Senior Entrepreneurship** Ting Zhang, University of Baltimore **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 **Disparities in Recreational Use of Urban Parks: A Big Data Approach** Siddhartha Bora, West Virginia University **Social Cyber Vulnerability Index (SCVI) and Geospatial Analysis to Mitigate Cyber Threats in Social Spaces** Jin-Hee Cho, Computer Science Department, Virginia Tech **Promoting Urban Informatics Plus: Practices and Strategies** Xinyue Ye, Texas A&M University 3:05 PM **Session 4: CLT-1-i, Classification, labeling and training data** **Chair:** Theodore Spanbauer, George Mason University **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 **High urban flood risk and no shelter access disproportionately impacts vulnerable communities in the USA** Fatemeh Janatabadi, George Mason University **Innovative Approaches to Automated Data Labeling and CNN Implementation** Rakshita Chidananda, George Mason University **DAY 2- Tuesday, July 23, 2024, Parallel Track 3** 1:00 PM **Session 5: C-1-i, Air Quality Analyses** **Chair:** Meghan Albritton, Virginia Tech **Associations Between Surface Mine Density and Respiratory Health in Central Appalachia** Meghan Albritton, Virginia Tech **Optimizing the Downloading, Uploading, and Serving of Air Quality In-situ Sensor data using various techniques** Jiakang Liu, George Mason University **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 **Indonesia's Air Quality Crisis: A Holistic Approach to PM2.5 Prediction and Mitigation Scenario in Malang** Ardiyanto Gai, Dekka Putra, Institut Teknologi Nasional Malang 3:05 PM **Session 6: C-2-i, Air Quality Prediction and Exposure Analyses** **Chair:** Junghwan Kim, Virginia Tech **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 **DAY 2- Tuesday, July 23, 2024, Parallel Track 4** 1:00 PM **Session 7: U-1-i, Bias and Uncertainty** **Chair:** Francisco Rowe, University of Liverpool **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 3:05 PM **Session 8: PLP-1-i, Positioning, place and location** **Chair:** Shashank Karki, Virginia Tech **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 **DAY 2- Tuesday, July 23, 2024, Parallel Track 5** 1:00 PM **Session 9: W-1-i, FAIR and Replicability** **Chair:** Tao Hu, Oklahoma State University **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 **Improving user interaction for labeling workflow** Evelyn Fontaine, George Mason University 3:05 PM **Session 10: SDL-1-i, Spatial Data Lab: Platform and Network for Spatiotemporal Data Science** **Chair:** Chaowei Yang, George Mason University **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 **DAY 2- Tuesday, July 23, 2024, Parallel Track 6** 1:00 PM **Session 11: FMS-1-i, Foundation models and spatially-explicit AI** **Chair:** Gengchen Mai, University of Texas at Austin **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. 3:05 PM **Session 12: D-1-i, Large language model** **Chair:** Xiao Huang, Emory University **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 **How Western donors allocate Official Development Assistance: New evidence from a Natural Language Processing approach.** Daniel Benson, King's College London **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 **DAY 3- Wednesday, July 24, 2024** 9:00 AM **Keynote:** Krzysztof Janowicz, University of Vienna & UC Santa Barbara Facilitator: Daniel Sui, Virginia Tech 9:30 AM **Plenary Panel: Digital Twin and Spatiotemporal Data Science** **Facilitator**: Daniel Sui, Virginia Tech & Chaowei Yang, George Mason University - Laura Rogers, NASA AIST, Earth Action - Xinyue Ye, Texas A&M University - James Kinter, George Mason University - Pierre Goovaerts, Chief Scientist at BioMedware 11:15 AM **Session 13: A-2-o, Spatiotemporal Data Science Vision** **Chair:** Wei Luo, National University of Singapore **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 **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 **Uncertainty and Replicability of GeoAI Models on Spatially Varying Effects: A Synthetic Data Case Study** Tian Tian, Harvard University & Wuhan University 11:15 AM **Session 14: B-2-o, Economic analyses** **Chair:** Rama Martin, The World Bank **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 11:15 AM **Session 15: C-3-o, Climate Change: Urban Heat Stress** **Chair:** Cong Cao, Caltech **DPHPT, a Docker Approach to Automated, Parallel Hyperparameter Tuning of Deep Learning Models for Air Quality** Theodore Trefonides, George Mason University **Climate change increases air pollution and heating demands in Norwegian cities: A deep learning-based analysis** Cong Cao, Caltech **Leveraging GeoAI to Analyze Heat Exposure Patterns and Hospitalizations in Texas** Ehsan Foroutan, Oklahoma State University **Simulating and Predicting Spatial-Temporal Human Outdoor Heat Exposure: A Case Study on a Texas Campus** Wenjing Gong, Texas A&M University **Mitigating extreme heat by integrating human perception in digital twins** Yuning Ye, Texas A&M University **Prediction of Thermal Comfort in Nature Conservation Area Based on Multiple Machine Learning Models and Social Media Data** Jun Yang, Virginia Tech 11:15 AM **Session 16: OS-1-o, Open Source Science** **Chair:** Xintao Liu, Hong Kong Polytechnic University **CONNECT: Open-source planning models for Next-generation Equitable and efficient Communities and Transportation** Xuesong (Simon) Zhou, Arizona State University **GIS-KG: building a large-scale hierarchical knowledge graph for geographic information science** Jiaxin Du, Grand Valley State University **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 1:30 PM **Session 17: W-2-o, Computing and workflow** **Chair:** Lingbo Liu, Harvard University **Computing Infrastructure in Spatiotemporal Research** Joseph Rogers, George Mason University **Containerizing AI-Driven Image Labeling Tool for Efficient Research Deployment** Gian Sung, George Mason University **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 **Modularizing legacy flask app to improve server side module workflow** Hassan Yousef, George Mason University 3:15 PM **Session 21: F-1-o, Flooding** **Chair:** Wenyu Zhang, Texas A&M University and National University of Singapore **3D Flooded Area Modeling through Multi-modal Generative AI** Shoujia Li, Texas A&M University **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 **Understanding the spatial disparity in socio-economic recovery of coastal communities following typhoon Meranti** Shengping Ding, University of Copenhagen 1:30 PM **Session 18: MM-1-o, Modeling and methods** **Chair:** Hanchen Yu, HKUST(GZ) **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, University of Glasgow **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 3:15 PM **Session 22: CLT-2-o, Image Classification, Labeling and Training data** **Chair:** Weishan Bai, Texas A&M University **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 1:30 PM **Session 19: HA-2-o, Health Accessibility & Analytics** **Chair:** Tianyu Su, Harvard University **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 **Uncovering Healthcare Accessibility Dynamics: A Study of Patients' Travel Behavior and Urban-Rural Distance Decay in the United States** Yaxiong Shao, Northern Illinois University **Measuring Spatial Inequalities in Accessibility to Water Point Sources Among the Households in Sibi, Ghana** Kanjin Kingsley & Minxuan Lan, The University of Toledo **Factors Impacting Pharmacy Success in Lowndes County, Georgia** Bennett, Cameron and Lu, Jia, Valdosta State University **Integrating Spatial Data Science in One Health Research: A Case Study of Human Leptospirosis in southern Chile** Anni Yang, University of Oklahoma 3.15 PM **Session 23: S-1-o, Smart cities and built environment** **Chair:** Hanlin Zhou, University of Toronto **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 **Assessing the health impact and disparities of shifting from driving to active transportation: A case study of Houston, Texas** Chunwu Zhu, Texas A&M University **Correlation and causality between the built environment and traffic congestion: A case study of New York City** Weihua Huan, Tongji University **Using GeoAI to Understand the Associations between Built Environment and Active Transport** Hanlin Zhou, University of Toronto **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 1.30 PM **Session 20: PCS-1-0, Public and cyber safety** **Chair:** Minglei Liao, The Hong Kong Polytechnic University **Measuring perceived racial heterogeneity and its impact on crime: an ambient population-based approach** Xin Gu, University of Cincinnati **Street Crime Prediction Using Mass Transit Infrastructures and Spatial-Temporal Machine Learning Method** Xiangyu Ren, San Jose State University **Digitalization era: Investigating the spatial interplay between cyber human activity and economy with a hierarchical framework** Minglei Liao, The Hong Kong Polytechnic University **STGraph: A Spatial-Temporal Graph Approach Using Urban Infrastructure Data** Siji Chen, Virginia Tech **Migrant-native Disparities in Neighborhood Satisfaction in the Netherlands: the Role of Subjective Perceptions on Safety and Population Composition** Weiyi Cao, Wageningen University & MIT 3:15 PM **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 **On the Interpretability and Explanability of GeoAI for Spatiotemporal Analysis** Ziqi Li, Florida State University **Talk about GeoAI: from the World Generation Process** Peng Luo, MIT Senseable City Lab **Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota** Tianyi Li, University of Minnesota **Geospatial uncertainty modeling in GeoAIGuofeng (N)** Guofeng Cao, University of Colorado Boulder **Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster** Zhaonan Wang, NYU Shanghai 4:30 PM **Closing Remark** - Chaowei Yang, George Mason University - Shuming Bao, Future Data Lab --- Attachments- [ picture\_as\_pdf elisabeth\_richter\_detecting\_frauds\_in\_investment\_contracts.pdf ](/sites/g/files/omnuum8906/files/elisabeth_richter_detecting_frauds_in_investment_contracts.pdf) - [ picture\_as\_pdf prafulla\_parlewar.pdf ](/sites/g/files/omnuum8906/files/prafulla_parlewar.pdf) ---