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X-WR-CALNAME;VALUE=TEXT:Workshop on Spatiotemporal Innovation
PRODID:-//Harvard events data//EN
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UID:event_1937046_0
SUMMARY:Workshop on Spatiotemporal Innovation
DESCRIPTION:<p>	Sponsored by the <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__spatialdatalab.org&amp;d=DwMGaQ&amp;c=WO-RGvefibhHBZq3fL85hQ&amp;r=_IU3UTjwfchVcnRoyzJvCeRTDNfX018rnp7ZVLXeI1Y&amp;m=X0dYDAfcVBWt7RnsosFv47pEUVgli_i61D8V3r6B1NSdI8pNi7gQ7D0iACTZ45Py&amp;s=cNigFP-kFy1AJuGakUxP_CiaMutrvD5kipBVHV4Otco&amp;e=">Spatial Data Lab</a>, this hands-on <a data-url="https://sdl.gis.harvard.edu/event/2025-summer-training-workshop" href="https://sdl.gis.harvard.edu/event/2025-summer-training-workshop" target="_blank" title="">workshop to be held July 21 - 25 of 2025</a> is designed to push the boundaries of spatiotemporal innovation using the latest advances in GeoAI (Geospatial Artificial Intelligence) and Generative AI. In an era where AI is reshaping every field, this workshop will immerse participants in cutting-edge AI-driven geospatial analytics, automation, and predictive modeling.</p><p>	Participants will engage in replicable, scalable, and workflow-driven methodologies for analyzing complex spatiotemporal datasets. With a focus on GeoAI, Generative AI, and no/low-code solutions, this workshop will provide deep insights into how AI is transforming decision-making across multiple domains, including: Public Health, Business &amp; Market Analytics, Social Media &amp; Human Mobility, Remote Sensing &amp; Earth Observation, Environmental Science.</p><p>	This workshop offers a unique opportunity to collaborate with leading scientists and industry experts, fostering networking, innovation, and leadership development in the rapidly evolving landscape of AI-powered spatial science.</p><p>	<strong>Topics over the course of the 5 day workshop will include</strong></p><p>	<strong>I: Data Science, GeoAI, and Generative AI with Low/No-Code Innovation</strong></p><p style="margin-left:.5in">	1-1 <em>Foundations for the Future</em></p><p style="margin-left:.5in">	1-2 <em>No-Code Programming in KNIME: The Power to Build Without Limits</em></p><p style="margin-left:.5in">	1-3 <em>Hands-on Challenge: Your First Workflow in KNIME</em></p><p style="margin-left:.5in">	1-4 <em>Hands-on Breakthrough</em></p><p>	<strong>II: Mastering the Geospatial Revolution – Spatial Data Science &amp; GIS</strong></p><p style="margin-left:.5in">	2-1 <em>Discovering the Invisible Patterns in Space</em></p><p style="margin-left:.5in">	2-2 <em>No-Code Programming in KNIME for GIS: Geospatial analytics for KNIME</em></p><p style="margin-left:.5in">	2-3 <em>Hands-on Challenge: Mapping the Unknown</em></p><p style="margin-left:.5in">	2-4 <em>Hands-on Breakthrough</em></p><p>	<strong>III: AI Meets the Real World – Pioneering AI &amp; GeoAI for Spatial Intelligence</strong></p><p style="margin-left:.5in">	3-1 <em>The AI Awakening</em></p><p style="margin-left:.5in">	3-2 <em>No-Code Programming in KNIME for AI: Machine Learning and Deep Learning in KNIME</em></p><p style="margin-left:.5in">	3-3 <em>Hands-on Challenge: Train an AI Model in KNIME</em></p><p style="margin-left:.5in">	3-4 <em>Hands-on Breakthrough</em></p><p>	<strong>IV: Generative AI – Unleashing the Power of AI Creativity in Spatial Science</strong></p><p>	4-1 <em>Pushing the Boundaries of AI Creativity</em></p><p>	<strong>V: Real-World Applications – GenAI &amp; GeoAI for a Better Future</strong></p><p style="margin-left:.5in">	5-1 <em>Feature talks-AI in Action</em></p><ul>	<li>		GeoAI in Healthcare Analytics	</li>	<li>		GenAI in Remote Sensing &amp; Land Classification	</li>	<li>		GeoAI and GenAI for Social Media	</li>	<li>		GeoAI and GenAI for Location Extraction	</li></ul><p>	<strong>5-2 Program Wrap-up: </strong> Your AI-GeoAI Masterpiece and the Future of AI</p><p style="margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in">	<strong>Requirement: </strong></p><p>	It is desirable that applicants have a background in geographic analysis. All participants are expected to complete a group project and make a presentation on their group’s research. Those who complete the program and participate in a group project will receive a certificate. Those outstanding participants will be invited to join the research team of the Spatial Data Lab project.</p><p style="margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in">	<strong>Application: </strong></p><p style="margin-top:6.0pt;margin-right:0in;margin-bottom:6.0pt;margin-left:0in">	To apply, please submit your application, including your CV and the abstract of your research via this form: <a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_2HMnUUymHxc3eK4w7&amp;d=DwMGaQ&amp;c=WO-RGvefibhHBZq3fL85hQ&amp;r=_IU3UTjwfchVcnRoyzJvCeRTDNfX018rnp7ZVLXeI1Y&amp;m=X0dYDAfcVBWt7RnsosFv47pEUVgli_i61D8V3r6B1NSdI8pNi7gQ7D0iACTZ45Py&amp;s=-4YbOih6TOk5fArvMlpwwx5uJlLR3P9-Gcl9AvX8MKA&amp;e=">https://forms.gle/2HMnUUymHxc3eK4w7</a> before <strong>April 30, 2025</strong>. Application will be open until all seats are filled. Detailed agenda and lodging information will be sent to the accepted applicants later. Participants are responsible for their own travel and lodging expenses. Please visit <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__spatialdatalab.org&amp;d=DwMGaQ&amp;c=WO-RGvefibhHBZq3fL85hQ&amp;r=_IU3UTjwfchVcnRoyzJvCeRTDNfX018rnp7ZVLXeI1Y&amp;m=X0dYDAfcVBWt7RnsosFv47pEUVgli_i61D8V3r6B1NSdI8pNi7gQ7D0iACTZ45Py&amp;s=cNigFP-kFy1AJuGakUxP_CiaMutrvD5kipBVHV4Otco&amp;e=">http://spatialdatalab.org</a> for more information or contact <a href="mailto:spatialdatalab@lists.fas.harvard.edu">spatialdatalab@lists.fas.harvard.edu</a> for questions.</p>
LOCATION:1730 Cambridge Street, Cambridge, Room S030
STATUS:CONFIRMED
DTSTART:20250721T130000Z
DTEND:20250725T210000Z
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