{"id":121,"date":"2024-04-03T13:31:00","date_gmt":"2024-04-03T13:31:00","guid":{"rendered":"https:\/\/stds2024.stcenter.net\/?page_id=121"},"modified":"2026-05-16T19:55:24","modified_gmt":"2026-05-16T19:55:24","slug":"workshop","status":"publish","type":"page","link":"https:\/\/stds.stcenter.net\/index.php\/workshop\/","title":{"rendered":"Workshop"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"121\" class=\"elementor elementor-121\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3aad74c2 e-flex e-con-boxed e-con e-parent\" data-id=\"3aad74c2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1935ea6c elementor-widget elementor-widget-text-editor\" data-id=\"1935ea6c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 style=\"text-align: center;\"><span style=\"color: #000000;\"><strong>The 2026 Summer School on Spatiotemporal AI<\/strong><\/span><\/h2>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">August 4-6, 2026<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">Virginia Tech Academic Building One,&nbsp;&nbsp;3625 Potomac Avenue, Alexandria, VA 22305<\/span><\/p>\n<p><span style=\"color: #000000;\">Sponsored by the NSF Spatiotemporal Innovation Center and Virginia Tech, the 2026 Summer School on Spatiotemporal AI offers an intensive, hands-on introduction to the latest advances in spatiotemporal AI, including GeoAI (Geospatial Artificial Intelligence), Generative AI, and Autonomous GIS.<\/span><\/p>\n<p><span style=\"color: #000000;\">Participants will explore cutting-edge AI-driven geospatial analytics, automation, and predictive modeling through replicable and scalable methods for analyzing complex spatiotemporal datasets for insights. The program highlights how these technologies are transforming decision-making in key domains, including Public Health, Business &amp; Market Analytics, Human Mobility, Remote Sensing &amp; Earth Observation, and Environmental Management.<\/span><\/p>\n<p><span style=\"color: #000000;\">Attendees will collaborate with leading scientists and industry experts while gaining practical skills in AI-powered spatiotemporal data science.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Core topics: <\/strong>(1) foundations of spatiotemporal AI; (2) advances in cloud computing for spatiotemporal AI; (3) integration of GeoAI and generative AI in research design, spatial modeling, and applications; (4) autonomous GIS; and (5) future trends of spatiotemporal AI.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Tools and Technologies Covered:<\/strong> cloud platforms for spatiotemporal AI, Python-based environments (Google Colab, Jupyter Notebooks), geospatial libraries (GeoPandas, Rasterio), AI-assisted tools (ChatGPT, Gemini and Google Scholar), autonomous spatial analysis, GIS agent development, and applied GeoAI workflows for satellite image analysis, mapping, and spatial intelligence.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Tentative Agenda (3 days)<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Day One:<\/strong><\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\"><strong> Foundations of Spatiotemporal AI<\/strong><\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\">1-1: Foundations of GeoAI and Intelligent Systems (35-40 for each presentation)<\/span><\/p>\n<p><span style=\"color: #000000;\"><em>(Core concepts, theory, and paradigms shaping spatiotemporal AI)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">The Foundation AI Disruption to Research and Education<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI: The New Frontier<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI: Turning Data into Public Health Impact<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI and Smart Disaster Mitigation<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">1-2: Hands-on Practice: AI-Assisted Analysis with Python in Google Colab<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Cloud Computing with Python in Google Colab<\/span><\/li>\n<li><span style=\"color: #000000;\">AI Copilot for Geospatial Data Analysis<\/span><\/li>\n<li><span style=\"color: #000000;\">Data Mapping with GeoPandas<\/span><\/li>\n<li><span style=\"color: #000000;\">Satellite Image Analysis with Rasterio<\/span><\/li>\n<li><span style=\"color: #000000;\">Case Study: Urban Poverty and Healthcare Access<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>Day Two:<\/strong><\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\"><strong> Advances in Spatiotemporal AI: Human-Centered AI Analytics and Decisions<\/strong><\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\">2-1: Advances in Spatiotemporal AI: Autonomous GIS and Generative AI for Analytics and Decisions (35-40 min&nbsp; for each presentation and demo\/hands-on practice)<\/span><\/p>\n<p><span style=\"color: #000000;\"><em>(Understanding, governing, collaborating, and decision with AI systems)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Foundations of Autonomous GIS and Agentic Geospatial Systems<\/span><\/li>\n<li><span style=\"color: #000000;\">Human-AI Collaboration in Autonomous Spatial Analysis, Modeling, and Research<\/span><\/li>\n<li><span style=\"color: #000000;\">Research Architect: A Human-in-the-Loop Research Architecture<\/span><\/li>\n<li><span style=\"color: #000000;\">Demos and Hands-on Practices<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">2-2: Hands-on Practice: Generative AI Tools for Research and Writing<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Using ChatGPT as an Assistant for Writing<\/span><\/li>\n<li><span style=\"color: #000000;\">Leveraging Google Scholar and Gemini\/ChatGPT for Literature Review<\/span><\/li>\n<li><span style=\"color: #000000;\">AI Assisted Research Design<\/span><\/li>\n<li><span style=\"color: #000000;\">Case Study: Wildfire Research<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>Day Three:<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>III. Spatiotemporal AI Applications and Future Trends<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">3-1: Applications and Societal Impact (30 min for each presentation)<\/span><\/p>\n<p><span style=\"color: #000000;\"><em>(Real-world deployment across domains and challenges)<\/em><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">GeoAI for Regional Conflicts<\/span><\/li>\n<li><span style=\"color: #000000;\">From Decision Trees to Deep Learning<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI Applications for Transportation Environments and User Experience Auditing<\/span><\/li>\n<li><span style=\"color: #000000;\">Generative AI workforce and Job Market<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI for Healthcare Analytics<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI for Historical Map Information Extraction<\/span><\/li>\n<li><span style=\"color: #000000;\">GeoAI for Urban Representations<\/span><\/li>\n<li><span style=\"color: #000000;\">Generative AI for Smart Urban Management<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">3-2: Panel Discussion: Future Trends of Spatiotemporal AI<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Disruption, Adaptation, and Response for AI in Research and Education<\/span><\/li>\n<li><span style=\"color: #000000;\">Open Discussion<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>Requirements: <\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">A background in geographic analysis or related fields is desirable. All participants are expected to actively engage in class assignments and group and discussions. Participants who successfully complete the program will receive a certificate of completion. Outstanding participants will be invited to join the research team of the Spatiotemporal Innovation Center project.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Application: <\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">Please submit your application via the following form: <a style=\"color: #000000;\" href=\"https:\/\/forms.gle\/2HMnUUymHxc3eK4w7\">https:\/\/forms.gle\/2HMnUUymHxc3eK4w7<\/a> before May 30, 2026. Application will be open until all seats are filled.<\/span><\/p>\n<p><span style=\"color: #000000;\">Detailed agenda and lodging information will be provided to accepted participants. Participants are responsible for their own travel and accommodation expenses.<\/span><\/p>\n<p><span style=\"color: #000000;\">For more information, please visit <a style=\"color: #000000;\" href=\"http:\/\/stds.stcenter.net\">http:\/\/stds.stcenter.net<\/a> or contact: <a style=\"color: #000000;\" href=\"mailto:2026-stc-conference@googlegroups.com\">2026-stc-conference@googlegroups.com<\/a>.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Registration Fee: <\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">$1,980 registered\/paid before 0:00 am ET, June 30, 2026<\/span><\/li>\n<li><span style=\"color: #000000;\">$2,680 registered\/paid after 0:00 am ET, June 30, 2026<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>Lecturers<\/strong>:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Chaowei Yang, George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Siqin Wang, University of Southern California<\/span><\/li>\n<li><span style=\"color: #000000;\">Xiao Huang, Emory University<\/span><\/li>\n<li><span style=\"color: #000000;\">Qunying Huang, University of Wisconsin<\/span><\/li>\n<li><span style=\"color: #000000;\">Zhenlong Li, The Pennsylvania State University<\/span><\/li>\n<li><span style=\"color: #000000;\">Manzhu Yu, The Pennsylvania State University<\/span><\/li>\n<li><span style=\"color: #000000;\">Zifu Wang, Harvard University<\/span><\/li>\n<li><span style=\"color: #000000;\">Lingbo Liu, Harvard University<\/span><\/li>\n<li><span style=\"color: #000000;\">Armita Kar, George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Shanjiang Zhu, George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Mengxi Zhang, Virginia Tech<\/span><\/li>\n<li><span style=\"color: #000000;\">Junghwan Kim, Virginia Tech<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\"><strong>Instructors:<\/strong><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">Anusha Srirenganathanmalarvizhi George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Andrew Yang, Northeastern University<\/span><\/li>\n<li><span style=\"color: #000000;\">Temitope Akinboyewa, The Pennsylvania State University<\/span><\/li>\n<li><span style=\"color: #000000;\">Yahya Masri, George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Ning Huan, Emory University<\/span><\/li>\n<li><span style=\"color: #000000;\">Seren Smith, George Mason University<\/span><\/li>\n<li><span style=\"color: #000000;\">Qifan Wu, Emory University<\/span><\/li>\n<li><span style=\"color: #000000;\">Shoibolina Kaushik, Emory University<\/span><\/li>\n<li><span style=\"color: #000000;\">Yuhao Jia, Emory University<\/span><\/li>\n<\/ul>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-839 size-large\" src=\"https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/Lecturers-1024x329.png\" alt=\"\" width=\"900\" height=\"289\" srcset=\"https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/Lecturers-1024x329.png 1024w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/Lecturers-300x96.png 300w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/Lecturers-768x247.png 768w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/Lecturers.png 1198w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p><span style=\"color: #000000;\"><strong>Location: <\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">The in-person sessions will be held at Virginia Tech Academic Building One, 3625 Potomac Avenue, Alexandria, VA 22305, which is less than 2 miles from the Ronald Reagan Washington National Airport. Online participants will receive a Zoom link prior to the event.<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Contact:<\/strong> Please contact <a style=\"color: #000000;\" href=\"mailto:office@spatialdatalab.org\">office@spatialdatalab.org<\/a> if there are any questions.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-590fc1a e-flex e-con-boxed e-con e-parent\" data-id=\"590fc1a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e5b55f6 elementor-widget elementor-widget-image\" data-id=\"e5b55f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"388\" src=\"https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map-1024x442.jpg\" class=\"attachment-large size-large wp-image-762\" alt=\"\" srcset=\"https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map-1024x442.jpg 1024w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map-300x129.jpg 300w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map-768x331.jpg 768w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map-1536x663.jpg 1536w, https:\/\/stds.stcenter.net\/wp-content\/uploads\/2026\/04\/VT-campus_map.jpg 1743w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The 2026 Summer School on Spatiotemporal AI August 4-6, 2026 Virginia Tech Academic Building One,&nbsp;&nbsp;3625 Potomac Avenue, Alexandria, VA 22305 Sponsored by the NSF Spatiotemporal Innovation Center and Virginia Tech,&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_FSMCFIC_featured_image_caption":"","_FSMCFIC_featured_image_nocaption":"","_FSMCFIC_featured_image_hide":"","footnotes":""},"class_list":["post-121","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/pages\/121","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/comments?post=121"}],"version-history":[{"count":25,"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/pages\/121\/revisions"}],"predecessor-version":[{"id":853,"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/pages\/121\/revisions\/853"}],"wp:attachment":[{"href":"https:\/\/stds.stcenter.net\/index.php\/wp-json\/wp\/v2\/media?parent=121"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}