[{"id":399,"date":"2026-07-02T14:43:21","date_gmt":"2026-07-02T18:43:21","guid":{"rendered":"https:\/\/events.ornl.gov\/urbanai2026\/?page_id=399"},"modified":"2026-07-02T14:43:21","modified_gmt":"2026-07-02T18:43:21","slug":"urban-ai-2023","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/urban-ai-2023\/","title":{"rendered":"Urban AI 2023"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-399","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/399","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=399"}],"version-history":[{"count":1,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/399\/revisions"}],"predecessor-version":[{"id":400,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/399\/revisions\/400"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=399"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":397,"date":"2026-07-02T14:42:41","date_gmt":"2026-07-02T18:42:41","guid":{"rendered":"https:\/\/events.ornl.gov\/urbanai2026\/?page_id=397"},"modified":"2026-07-02T16:15:49","modified_gmt":"2026-07-02T20:15:49","slug":"urban-ai-2024","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/urban-ai-2024\/","title":{"rendered":"Urban AI 2024"},"content":{"rendered":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Overview 2024<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">The&nbsp;<strong>2<sup>nd<\/sup>&nbsp;ACM SIGSPATIAL International Workshop on Advances in Urban AI<\/strong>&nbsp;brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data and the growth of digitized city infrastructures have opened opportunities for data-driven machine learning approaches in urban science. Urban AI encompasses innovative AI techniques applied to urban problems, AI-ready urban data infrastructure, and various urban applications benefiting from AI. Its applications range from urban planning and design to traffic prediction, energy management, public safety, urban agriculture, and land use.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">In the era of digital transformation, cities are becoming smarter, more sustainable, and efficient. Urban AI leverages data collected from sensors, satellites, and IoT devices to enable evidence-based decision making. Real-time analysis of patterns, infrastructure performance, energy consumption, and social dynamics helps identify vulnerabilities, optimize resource allocation, and inform resilience strategies. Urban AI R&amp;D takes this concept to new heights by utilizing advanced AI algorithms, machine learning, and extensive data analytics to establish intelligent urban ecosystems. These ecosystems integrate various urban domains, fostering cohesive operations, data-informed decision making, and improved citizen experiences. Considering the complexity and heterogeneity of urban information, spatiotemporal aspects such as location, distance, shape, and spatial patterns must be carefully considered and incorporated into urban AI R&amp;D to address geospatial challenges in urban environments.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Call for Papers<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">The 2024 Urban-AI workshop invites papers in the following topics (but not limited to):<\/p>\n\n\n\n<ul class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>Core AI techniques originated from and\/or applicable to urban environment<\/li>\n\n\n\n<li>Spatial data analytics for urban AI<\/li>\n\n\n\n<li>Geospatial technologies and data infrastructure for urban AI<\/li>\n\n\n\n<li>AI-enabled urban mobility and transportation<\/li>\n\n\n\n<li>AI-enabled urban environmental management<\/li>\n\n\n\n<li>AI-enabled urban social services<\/li>\n\n\n\n<li>Generative AI and risk-informed urban planning<\/li>\n\n\n\n<li>Ethical and legal issues of AI in urban planning and management<\/li>\n\n\n\n<li>Data quality and privacy concerns of AI in urban planning and management<\/li>\n\n\n\n<li>Case studies and best practices of AI applications in urban planning and management<\/li>\n<\/ul>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Workshop Organizers<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Femi Omitaomu (<a href=\"mailto:omitaomuoa@ornl.gov\">omitaomuoa@ornl.gov<\/a>; +1-865-241-4310)<br>Group Leader and Distinguished Scientist, Computational Urban Sciences Group<br>Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Prof. Ali Mostafavi (<a href=\"mailto:amostafavi@civil.tamu.edu\">amostafavi@civil.tamu.edu<\/a>; +1-765-543-4036)<br>Associate Professor and Faculty Director, UrbanResilience.AI Lab<br>Texas A&amp;M University, College Station, Texas, USA.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Sukanya Randhawa (<a href=\"mailto:Sukanya.Randhawa@heigit.org\">Sukanya.Randhawa@heigit.org<\/a>; +49-176-2284799)<br>Heidelberg Institute for Geoinformation Technology<br>Heidelberg University, Germany<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Haoran Niu (<a href=\"mailto:niuh@ornl.gov\">niuh@ornl.gov<\/a>; +1- 865-341-0247)<br>Post-doc, Computational Urban Sciences Group<br>Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.<\/p>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Program Committee<\/h2>\n\n\n\n<ol class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>Chao Fan : Clemson University<\/li>\n\n\n\n<li>Filip Biljecki : National University of Singapore<\/li>\n\n\n\n<li>Vanessa Frias-Martinez : University of Maryland at College Park<\/li>\n\n\n\n<li>Hao Xue : : University of New South Wales, Sydney<\/li>\n\n\n\n<li>Chia-Yu Hsu : Arizona State University<\/li>\n\n\n\n<li>WenWen Li : Arizona State University<\/li>\n\n\n\n<li>Majbah Uddin : Oak Ridge National Laboratory<\/li>\n\n\n\n<li>Abhilasha Saroj : Oak Ridge National Laboratory<\/li>\n\n\n\n<li>Steffen Knoblauch : Heidelberg Institute for Geoinformation Technology, Heidelberg University, Germany<\/li>\n\n\n\n<li>Daniela Cialfi : Institute for Complex Systems, Council of National Research of Italy<\/li>\n\n\n\n<li>Hiba Baround : Vanderbilt University<\/li>\n\n\n\n<li>Yanjie Fu : Arizona State University<\/li>\n\n\n\n<li>Janet Agbaje, Oak Ridge National Laboratory<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading has-dark-color has-text-color\">Student Member<\/h3>\n\n\n\n<ol class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>Min Namgung: University of Minnesota<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Overview 2024 The&nbsp;2nd&nbsp;ACM SIGSPATIAL International Workshop on Advances in Urban AI&nbsp;brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data and the growth of<\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-397","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/397","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=397"}],"version-history":[{"count":2,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/397\/revisions"}],"predecessor-version":[{"id":403,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/397\/revisions\/403"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":395,"date":"2026-07-02T14:42:28","date_gmt":"2026-07-02T18:42:28","guid":{"rendered":"https:\/\/events.ornl.gov\/urbanai2026\/?page_id=395"},"modified":"2026-07-02T14:45:27","modified_gmt":"2026-07-02T18:45:27","slug":"urban-ai-2025","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/urban-ai-2025\/","title":{"rendered":"Urban AI 2025"},"content":{"rendered":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Overview 2025<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">The 3rd ACM SIGSPATIAL International Workshop on Advances in Urban AI (UrbanAI\u201925) brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data and the growth of digitized city infrastructures have opened opportunities for data-driven machine learning approaches in urban science. Urban AI encompasses innovative AI techniques applied to urban problems, AI-ready urban data infrastructure, and various urban applications benefiting from AI. Its applications range from urban planning and design to traffic prediction, energy management, public safety, urban agriculture, and land use.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">As cities embrace digital transformation, they are evolving into smarter, more resilient, and efficient urban environments. At the heart of this evolution is Urban AI, which leverages data from a wide array of sources, including sensors, satellites, and IoT devices, to enable real-time analysis of critical urban functions. These data streams offer insights into infrastructure performance, urban system variability, energy usage, and human activity, providing a foundation for evidence-based decisions in urban planning, emergency management, and sustainability efforts. Advancements in Urban AI research push this vision further by employing state-of-the-art AI models, advanced analytics, and simulation technologies to build intelligent urban ecosystems. These ecosystems seamlessly integrate data across diverse domains such as transportation, energy, housing, and public services, fostering coordinated, efficient, and citizen-focused urban operations. A key challenge lies in the heterogeneous nature of urban data, which demands a nuanced understanding of geospatial characteristics, including location, proximity, topology, and spatiotemporal patterns. As such, spatiotemporal reasoning stands as a cornerstone of Urban AI, underscoring its significance to the SIGSPATIAL community.<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Program and Committee Members 2025<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\"><strong>Program Committee<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Prof. Dongsheng Ding: University of Tennessee, Knoxville<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Majbah Uddin : Oak Ridge National Laboratory<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Abhilasha Saroj : Oak Ridge National Laboratory<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Yang Chen: Oak Ridge National Laboratory<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Soumendra Bhanja:&nbsp;Oak Ridge National Laboratory<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Bharat Sharma:&nbsp;Oak Ridge National Laboratory<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Steffen Knoblauch : Heidelberg Institute for Geoinformation Technology, Heidelberg University, Germany<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Daniela Cialfi : Institute for Complex Systems, Council of National Research of Italy<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Prof. Hiba Baround : Vanderbilt University<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Edward&nbsp;Dong:&nbsp;the University of New South Wales<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Yang Yang:&nbsp;Researcher,&nbsp;the University of New South Wales<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Dr. Arian Prabowo:&nbsp;Postdoctoral Researcher, School of Computer Science and Engineering, University of New South Wales<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Min Namgung: Ph.D. Candidate in Computer Science, University of Minnesota<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Wilson Wongso:&nbsp;PhD candidate in Computer Science at the University of New South Wales&nbsp;<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Lihua Li: PhD student, CSE, University of New South Wales<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Du Yin: PhD student, CSE, University of New South Wales<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Janet Agbaje, Oak Ridge National Laboratory<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Overview 2025 The 3rd ACM SIGSPATIAL International Workshop on Advances in Urban AI (UrbanAI\u201925) brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data<\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-395","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/395","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=395"}],"version-history":[{"count":3,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/395\/revisions"}],"predecessor-version":[{"id":402,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/395\/revisions\/402"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":391,"date":"2026-07-02T14:41:42","date_gmt":"2026-07-02T18:41:42","guid":{"rendered":"https:\/\/events.ornl.gov\/urbanai2026\/?page_id=391"},"modified":"2026-07-02T14:41:57","modified_gmt":"2026-07-02T18:41:57","slug":"important-dates","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/important-dates\/","title":{"rendered":"Important Dates"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-dark-color has-text-color\">Important Dates<\/h1>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\"><strong>Deadlines<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 Paper Submission: Friday, August 19, 2026 (11:59PM (PDT))<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 Notification of Accept\/Reject: Friday, September 1, 2026 (11:59PM (PDT))<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 Camera-ready: Friday, September 17, 2026 (11:59PM (PDT))<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\"><em>All papers must be original and not simultaneously submitted to another journal or conference.<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading has-dark-color has-text-color\">Paper Categories<\/h3>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">The following paper categories are welcome:<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-dark-color has-text-color\">Full research papers: 8-10 pages<\/h4>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">A full research paper will present a specific problem or topic and discuss methodology and findings along with future research directions.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading has-dark-color has-text-color\">Short research papers or application demo papers: 4 pages<\/h4>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Short research papers will demonstrate existing methods, toolkits, and best practices for building intelligent and resilient cities.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading has-dark-color has-text-color\">Vision or statement papers: 2 pages<\/h4>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Vision paper will be more situational in their coverage.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Paper Formatting<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Papers must be in&nbsp;<a href=\"https:\/\/www.acm.org\/publications\/proceedings-template\" target=\"_blank\" rel=\"noreferrer noopener\">ACM SIG format<\/a>&nbsp;(US Letter size, 8.5 x 11 inches) including text, figures and references. Accepted papers will be published in the ACM digital library under the condition that at least one author has registered for both the main SIGSPATIAL conference and the workshop, attends the workshop, and presents the accepted paper in the workshop. Otherwise, the accepted paper will not appear in the workshop proceedings or in the ACM Digital Library version of the workshop proceedings.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\"><a href=\"https:\/\/easychair.org\/my\/conference?conf=urbanai25\" target=\"_blank\" rel=\"noreferrer noopener\">Submit Your Paper<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading has-dark-color has-text-color\">Camera-ready Paper Submission<\/h2>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">There are three important things to make sure while preparing the camera ready papers for the workshop:<\/p>\n\n\n\n<ol class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>Authors must address all the comments and concerns from the reviewers.<\/li>\n\n\n\n<li>Authors must follow the instructions for preparing the camera ready paper<\/li>\n\n\n\n<li>Providing copyright to ACM.<\/li>\n<\/ol>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Deadline for submitting Camera-ready paper is\u00a0<strong>October 3, 2026.<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Step-by-step procedure:<\/p>\n\n\n\n<ol class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>Obtaining copyright block to be included in the camera-ready paper\n<ul class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>IWCTS workshop organizers have sent the metadata of the accepted papers to ACM for collecting copyright from authors<\/li>\n\n\n\n<li>Authors of workshop papers will receive the instructions for electronically sending the copyright release forms to ACM. Let us know if you won\u2019t hear back from ACM by Oct 12.<\/li>\n\n\n\n<li>Authors must send copy-right form to ACM following the instructions.<\/li>\n\n\n\n<li>Authors will receive the confirmation e-mail from ACM including the correct ACM copyright block they have to edit in their camera-ready paper.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Prepare and finalize the camera-ready paper and send them following the instructions they receive from the workshop organizers. The following is the checklist before you submit the final version.\n<ul class=\"wp-block-list has-dark-color has-text-color has-lg-font-size\">\n<li>is paper in PDF format?<\/li>\n\n\n\n<li>is page size US-Letter 8.5\u00d711?<\/li>\n\n\n\n<li>is correct copyright block present with ISBN\/YY\/MM and copyright fee?<\/li>\n\n\n\n<li>is the correct location, year present in copyright block?<\/li>\n\n\n\n<li>ensure that there are no page numbers<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>Submission of the Camera-ready paper: We have enabled the link on the easy chair submission portal to update the submission. You can upload the camera-ready paper there. For any reason, if you are not able to upload the camera-ready paper. You can send it to this email id:\u00a0<a href=\"mailto:urbanai@ornl.gov\">urbanai@ornl.gov<\/a>.<\/li>\n<\/ol>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">Please direct any questions regarding Camera-ready submission to&nbsp;<a href=\"mailto:urbanai@ornl.gov\">urbanai@ornl.gov<\/a><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Important Dates Deadlines \u2022 Paper Submission: Friday, August 19, 2026 (11:59PM (PDT)) \u2022 Notification of Accept\/Reject: Friday, September 1, 2026 (11:59PM (PDT)) \u2022 Camera-ready: Friday, September 17, 2026 (11:59PM (PDT)) All papers must be original and not simultaneously submitted to another journal or conference. Paper Categories The following paper categories are welcome: Full research papers:<\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-391","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/391","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=391"}],"version-history":[{"count":2,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/391\/revisions"}],"predecessor-version":[{"id":393,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/391\/revisions\/393"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=391"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":270,"date":"2024-01-04T09:25:11","date_gmt":"2024-01-04T14:25:11","guid":{"rendered":"https:\/\/conferences-image.ornl.local\/?page_id=270"},"modified":"2025-01-27T08:52:15","modified_gmt":"2025-01-27T13:52:15","slug":"contact","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/contact\/","title":{"rendered":"Contact"},"content":{"rendered":"<script>\nvar 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);\n<\/script>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-270","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=270"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/270\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":268,"date":"2024-01-04T09:25:05","date_gmt":"2024-01-04T14:25:05","guid":{"rendered":"https:\/\/conferences-image.ornl.local\/?page_id=268"},"modified":"2024-04-09T11:10:17","modified_gmt":"2024-04-09T15:10:17","slug":"registration","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/registration\/","title":{"rendered":"Registration"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-268","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/268","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=268"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/268\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":262,"date":"2024-01-04T09:24:42","date_gmt":"2024-01-04T14:24:42","guid":{"rendered":"https:\/\/conferences-image.ornl.local\/?page_id=262"},"modified":"2024-01-11T11:42:10","modified_gmt":"2024-01-11T16:42:10","slug":"event-agenda","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/event-agenda\/","title":{"rendered":"Agenda"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Day<\/h2>\n\n\n\n<div id=\"footable_parent_280\"\n         class=\" footable_parent ninja_table_wrapper loading_ninja_table wp_table_data_press_parent semantic_ui \">\n                <table data-ninja_table_instance=\"ninja_table_instance_0\" data-footable_id=\"280\" data-filter-delay=\"1000\" aria-label=\"agenda-per-day\"            id=\"footable_280\"\n           data-unique_identifier=\"ninja_table_unique_id_2151246168_280\"\n           class=\" foo-table ninja_footable foo_table_280 ninja_table_unique_id_2151246168_280 ui table  nt_type_legacy_table selectable striped vertical_centered  footable-paging-right ninjatable_hide_header_row ninja_table_search_disabled ninja_table_pro\">\n                <colgroup>\n                            <col class=\"ninja_column_0 \">\n                            <col class=\"ninja_column_1 \">\n                            <col class=\"ninja_column_2 \">\n                    <\/colgroup>\n        <thead>\n<tr class=\"footable-header\">\n                                                        <th scope=\"col\"  class=\"ninja_column_0 ninja_clmn_nm_time \">Time<\/th><th scope=\"col\"  class=\"ninja_column_1 ninja_clmn_nm_event \">Event<\/th><th scope=\"col\"  class=\"ninja_column_2 ninja_clmn_nm_location \">Location<\/th><\/tr>\n<\/thead>\n<tbody>\n\n        <tr data-row_id=\"1\" class=\"ninja_table_row_0 nt_row_id_1\">\n            <td>8:00 - 9:00am<\/td><td>Event Name<\/td><td>Location Name<\/td>        <\/tr>\n    <\/tbody><!--ninja_tobody_rendering_done-->\n    <\/table>\n    \n    \n    \n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Day<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-262","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=262"}],"version-history":[{"count":0,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/262\/revisions"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":15,"date":"2019-06-19T16:13:13","date_gmt":"2019-06-19T20:13:13","guid":{"rendered":"http:\/\/localhost\/golden-wp\/?page_id=15"},"modified":"2026-07-22T11:19:58","modified_gmt":"2026-07-22T15:19:58","slug":"default-page","status":"publish","type":"page","link":"https:\/\/events.ornl.gov\/urbanai2026\/","title":{"rendered":"Home"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"padding-top:4em;padding-right:6em;padding-bottom:4em;padding-left:6em;min-height:600px;aspect-ratio:unset;\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"561\" class=\"wp-block-cover__image-background wp-image-384 size-large\" alt=\"\" src=\"https:\/\/events.ornl.gov\/urbanai2026\/wp-content\/uploads\/sites\/98\/2026\/07\/urbanai-banner-city-1024x561.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/events.ornl.gov\/urbanai2026\/wp-content\/uploads\/sites\/98\/2026\/07\/urbanai-banner-city-1024x561.jpg 1024w, https:\/\/events.ornl.gov\/urbanai2026\/wp-content\/uploads\/sites\/98\/2026\/07\/urbanai-banner-city-300x165.jpg 300w, https:\/\/events.ornl.gov\/urbanai2026\/wp-content\/uploads\/sites\/98\/2026\/07\/urbanai-banner-city-768x421.jpg 768w, https:\/\/events.ornl.gov\/urbanai2026\/wp-content\/uploads\/sites\/98\/2026\/07\/urbanai-banner-city.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-contrast-background-color has-background-dim-30 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container has-global-padding is-layout-constrained wp-container-core-cover-is-layout-5a94c1b0 wp-block-cover-is-layout-constrained\">\n<div class=\"wp-block-group alignwide has-global-padding is-content-justification-left is-layout-constrained wp-container-core-group-is-layout-5dc111c9 wp-block-group-is-layout-constrained\">\n<h1 id=\"block_4399e89ce4887c15f4a50db4c6cca868\" class=\"ornl-block block block-subsite-handler-event-title has-text-align-left has-text-color has-white-color\">Urban AI 2026<\/h1>\n\n\n\n\n\n\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n\n<p class=\"has-lg-font-size wp-block-paragraph\"><strong>Nov 3-6 2026, Riverside, CA<\/strong><\/p>\n\n\n\n<p class=\"has-lg-font-size wp-block-paragraph\">Submission Deadline: August 21,2026<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-63375db1 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-tertiary-background-color has-background has-text-align-center wp-element-button\" href=\"https:\/\/easychair.org\/conferences\/?conf=urbanai26\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Submit Your Paper<\/strong><\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-tertiary-background-color has-background has-text-align-center wp-element-button\" href=\"https:\/\/easychair.org\/cfp\/urbanai26\"><strong>Call for Paper<\/strong><\/a><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:42px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><br>The 4th ACM SIGSPATIAL International Workshop on Advances in Urban AI (UrbanAI\u201926) brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data and the growth of digitized city infrastructures have opened opportunities for data-driven machine learning approaches in urban science. Urban AI encompasses innovative AI techniques applied to urban problems, AI-ready urban data infrastructure, and various urban applications benefiting from AI. Its applications range from urban planning and design to traffic prediction, energy management, public safety, urban agriculture, and land use.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">As cities embrace digital transformation, they are evolving into smarter, more resilient, and efficient urban environments. At the heart of this evolution is Urban AI, which leverages data from a wide array of sources, including sensors, satellites, and IoT devices, to enable real-time analysis of critical urban functions. These data streams offer insights into infrastructure performance, urban system variability, energy usage, and human activity, providing a foundation for evidence-based decisions in urban planning, emergency management, and sustainability efforts. Advancements in Urban AI research push this vision further by employing state-of-the-art AI models, advanced analytics, and simulation technologies to build intelligent urban ecosystems. These ecosystems seamlessly integrate data across diverse domains such as transportation, energy, housing, and public services, fostering coordinated, efficient, and citizen-focused urban operations. A key challenge lies in the heterogeneous nature of urban data, which demands a nuanced understanding of geospatial characteristics, including location, proximity, topology, and spatiotemporal patterns. As such, spatiotemporal reasoning stands as a cornerstone of Urban AI, underscoring its significance to the SIGSPATIAL community.<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\"><strong>Call for Papers:<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">The Urban-AI 2026 workshop invites papers in the following topics (but not limited to):<\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Foundational and Emerging AI Paradigms<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Urban Systems, Infrastructure, and Mobility<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Resilience, Sustainability, and Environmental Intelligence<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Sensing, Data, and Urban Intelligence<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Edge, Distributed, and Scalable Urban AI Systems<\/strong><\/p>\n\n\n\n<p class=\"has-dark-color has-text-color has-lg-font-size wp-block-paragraph\">\u2022 <strong>Urban Analytics and Decision Intelligence<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u2022 Other related Urban AI topic areas<\/strong><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.energy.gov\/science\/office-science\"><\/a><a href=\"http:\/\/www.ut-battelle.org\/\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The 4th ACM SIGSPATIAL International Workshop on Advances in Urban AI (UrbanAI\u201926) brings together researchers and practitioners to discuss advancements and future directions in urban AI. Urban AI is an emerging field that combines AI, spatial computing, and urban science to address complex challenges faced by cities. The availability of extensive urban data and the<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page__hide_page_title.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-15","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/15","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/comments?post=15"}],"version-history":[{"count":15,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/15\/revisions"}],"predecessor-version":[{"id":423,"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/pages\/15\/revisions\/423"}],"wp:attachment":[{"href":"https:\/\/events.ornl.gov\/urbanai2026\/wp-json\/wp\/v2\/media?parent=15"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}]