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X-WR-CALNAME;VALUE=TEXT:2025 CGA Conference: The Geography of Digital Twins & The 2025 Symposium on Spatiotemporal Data Science
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SUMMARY:2025 CGA Conference: The Geography of Digital Twins & The 2025 Symposium on Spatiotemporal Data Science
DESCRIPTION:<p>	The concept of a digital twin—creating an authentic virtual counterpart to a physical entity—has deep roots in human history, across cultures. From ancient analogues like architectural models, astronomical devices, table top battle replicas, and even philosophical paradigms, humans have long sought ways to represent reality in compelling, but controllable, accessible, and insightful forms. Geographic maps themselves can certainly be seen to embody this concept. </p><p>	Today, a confluence of advances in sensing and data collection, computational power, modeling paradigms such as AI/ML, and immersive visualization techniques are enabling accurate and responsive reality twins at scale, that can drive smart cities, predict natural hazards, and optimize industrial processes. Whether in geospatial or more localized spatial realms, digital twins are leading to such transformations as personalized models of the human heart, predictive models for safeguarding infrastructure, and earth scale sea level prediction.</p><p>	Hosted by the Center for Geographic Analysis at Harvard and co-sponsored by the Institute for Quantitative Social Science, and others, this conference aims to foster a dialogue between diverse digital twin perspectives, and bring together experts from industry, government, NGOs and academia.  Topics may include geospatial and physics-based modeling, augmented reality, big data processing, high-performance computing, scripting and workflows, replicability, explainability, interoperability, ethical standards, among others.</p><p>	The event will start with a half-day pre-conference workshop Thursday morning, followed by a day and a half of plenary sessions on Thursday afternoon and Friday, which will include keynote addresses, presentation sessions, panel discussions, and lightning talks.  Saturday will continue the conference virtually.  </p><p>	On Thursday and Friday, speaker and audience engagement will be in person, while the Zoom audience will be able to view, but not participate in the discussions.  On Saturday, all proceedings will be virtual via Zoom, without any in-person activity.</p><p>	Topics include, but are not limited to:</p><ul>	<li>		Digital twins for geoscience	</li>	<li>		Data management in digital twins	</li>	<li>		Advances in digital twins technology	</li>	<li>		Replicability, uncertainty and in digital twins	</li>	<li>		Interoperability and scalability in digital twins	</li>	<li>		Ethical issues in digital twins	</li>	<li>		Digital twin applications	</li>	<li>		Digital twins in education	</li></ul><p>	The conference is accepting <a href="https://docs.google.com/forms/d/e/1FAIpQLSfflJUheccL8Lx5tAofEuqpu-O8pNEGd4I6SKIJMUWSWlRyUQ/viewform" target="_blank" title="">abstract submissions</a> for oral or poster presentations (less than 500 words) before Feb 28, 2025. Detailed agenda and lodging information will be sent to accepted presenters later. Participants are responsible for their own travel and lodging expenses. Please <a href="mailto:2025-cga-conference@googlegroups.com">contact</a> the organizing committee if you have any questions.</p><h3>	<u>REGISTRATION</u></h3><ul>	<li>		Harvard people, please login with your Harvard Key and register <a href="https://projects.iq.harvard.edu/cga-pin/conference-registration-harvard-affiliates" target="_blank" title="">here</a>.	</li>	<li>		Non-Harvard people, please register <a href="https://www.eventbrite.com/e/1058549984499" target="_blank" title="">here</a>. 	</li></ul><p>	Please refer to <a href="https://gis.harvard.edu/docs.google.com/document/d/1jdXIIzfnL8fqJg2t5AzI9mb2YMLj_jnnGhvU4O5Yiy0" title="">this page</a> for information on lodging and transportation around Harvard campus.</p><h3>	<strong>Co-organizers:</strong></h3><ul>	<li>		<a href="https://gis.harvard.edu/" target="_blank" title="">Center for Geographic Analysis</a>	</li>	<li>		<a href="https://www.esri.com/" target="_blank" title="">Esri</a>	</li>	<li>		<a href="https://futuredatalab.org/" target="_blank" title="">Future Data Lab</a>	</li>	<li>		<a href="https://datascience.harvard.edu/" target="_blank" title="">Harvard Data Science Initiative</a>	</li>	<li>		<a href="internal:/" target="_blank" title="">Institute for Quantitative Social Science</a>	</li>	<li>		<a href="https://www.stcenter.net/" target="_blank" title="">NSF Spatiotemporal Innovation Center</a>	</li></ul><h3>	<strong>Co-sponsors:</strong></h3><ul>	<li>		<a href="https://www.istari.ai/" title="">Istari</a>	</li></ul><p>	 </p>
LOCATION:CGIS South
STATUS:CONFIRMED
DTSTART:20250522T040000Z
DTEND:20250524T040000Z
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