The Symposium on Spatiotemporal Data Science

China Data Institute and Future Data Lab

The symposium will discuss data, methodology, and cutting-edge technology for spatiotemporal data analysis as well as their applications

1730 Cambridge St

Sponsored by the Spatial Data Lab (SDL)*, this symposium aims to promote replicable and expandable spatiotemporal data science with advanced methodology and innovative technology. The symposium will discuss open data sources, advanced methodology, and cutting-edge technology for spatiotemporal data analysis as well as their applications across different fields, including public health, business and economy, social media, remote sensing, environment, and education. The symposium will feature plenary speakers, parallel sessions, and posters. The program will include onsite (for July 15) and online sessions (for July 15 and 16). The organization committee plans to select a group of high-quality papers presented at the symposium and recommend them for publishing in a special issue at a prominent journal in the area of spatiotemporal data science. Papers submitted for consideration of the special issue still need to go through a regular review process. This symposium will offer an excellent opportunity for participants to network, collaborate, and learn about recent developments in spatiotemporal data science. There will be a five-day Summer Workshop on Spatiotemporal Innovation before the symposium. Please visit <a href="https://harvard.az1.qualtrics.com/jfe/form/SV_1BlrXCilP0dJ0ay" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"></a> <a href="https://projects.iq.harvard.edu/chinadatalab/event/summer-workshop-spatiotemporal-innovation" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://projects.iq.harvard.edu/chinadatalab/event/summer-workshop-spatiotemporal-innovation</a> for more information.Host: 	Center for Geographic Analysis, Harvard UniversityTopics (not limited to):•	New Technology for Reproducible and Replicable Spatiotemporal Data Analysis•	Open Data Access, Integration, and Online Data Sharing and Visualization•	Advances in Geospatial Data Analysis •	Artificial Intelligence Analysis for Spatiotemporal Data•	Workflow-based Remote Sensing Analysis •	Business Intelligence Analysis with Spatiotemporal Data •	Spatiotemporal Analysis with Social Media and Big Data•	Spatiotemporal Analysis with Healthcare Data •	Curriculum Development for Spatiotemporal Science LabsImportant Dates:•	Abstract submission deadline: April 30, 2023•	Acceptance decision: May 15, 2023Submission: Please submit your abstract (less than 500 words) from <a href="https://harvard.az1.qualtrics.com/jfe/form/SV_aXbUGE6KpiUyRBc" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://harvard.az1.qualtrics.com/jfe/form/SV_aXbUGE6KpiUyRBc</a> before April 30, 2023. Detailed agenda and lodging information will be sent to those accepted authors later. Participants are responsible for their own travel and lodging expenses. Please contact the organization committee at spatialdatalab@lists.fas.harvard.edu if there are any questions.Registration Fee (same for onsite and online attendees): •	US$150, Before June 30, 2023	•	US$250, After (including) June 30, 2023Location: The onsite event will be placed on 1730 Cambridge Street, Cambridge MA 02138 (map), Cambridge, MA. The online sessions will be conducted via Zoom.
*The Spatial Data Lab is a joint project supported by the Center for Geographical Analysis at Harvard University, Geocomputation Center for Social Science at Wuhan University, Future Data Lab, KNIME, and the NSF Spatiotemporal Innovation Center, which is designed to promote repeatable, replicable, and scalable spatiotemporal innovation research and global collaboration in related fields.

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The Symposium on Spatiotemporal Data Science

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