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
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 by Elisabeth Richter
5:40 PM - 6:10 PM - Talk 2: Leveraging Geospatial Analytics in KNIME by Prof. Mengxi Zhang
DAY 2 - Tuesday, July 23, 2024 (On Site and Online), Plenary Session |
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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 |
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9:30 AM | Keynote: John Wilson, University of South California Facilitator: Siqin Wang, University of South California |
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10:00 AM | Keynote: GeoAI, the Social Sciences, and Ethics Michel Goodchild, UC Santa Barbara Facilitator: Peter Kedron, UC Santa Barbara |
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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 |
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12:00 PM | Lunch Break and Virtual Keynote (First Floor Classrooms) Daniel Q. Duffy, NASA Goddard CISTO Chief Facilitator: Phil Yang
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DAY 2- Tuesday, July 23, 2024, Parallel Track 1 |
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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 |
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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 |
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DAY 2- Tuesday, July 23, 2024, Parallel Track 2 |
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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 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 |
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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 |
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DAY 2- Tuesday, July 23, 2024, Parallel Track 3 |
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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 |
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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 |
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DAY 2- Tuesday, July 23, 2024, Parallel Track 4 |
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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 |
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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 |
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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 |
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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:
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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. |
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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
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DAY 3- Wednesday, July 24, 2024 |
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9:00 AM | Keynote: Krzysztof Janowicz, University of Vienna & UC Santa Barbara Facilitator: Daniel Sui, Virginia Tech |
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9:30 AM
| Plenary Panel: Digital Twin and Spatiotemporal Data Science Facilitator: Daniel Sui, Virginia Tech & Chaowei Yang, George Mason University
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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4:30 PM | Closing Remark
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