I-GUIDE Spring 2024 Newsletter

Call for Participation Opens for the I-GUIDE 2024 Forum

I-GUIDE is pleased to announce the Call for Participation for the 2024 Forum, Convergence Science and Geospatial AI for Environmental Sustainability, coming up October 14-16, 2024 in Jackson, WY!

The I-GUIDE Forum 2024 invites submissions for its conference on integrating AI, cyberinfrastructure, and geospatial sciences to address environmental sustainability challenges, featuring tracks on data-intensive sciences, geospatial AI, cyberGIS innovations, and inclusive education, with accepted papers published in proceedings and potential journal special issues.

Submit your papers by July 15th, 2024.

Visit the I-GUIDE 2024 Forum Website to learn more about the Call for Participation and to submit your paper.

Finding a Guide when Harnessing Data for a Quest

Article by Sue Nichols of 美国密歇根州立大学

published in Springer Nature Research Communities: Earth and Environment, Computational Sciences, and Statistics

Sue Nichols ' latest article explores how I-GUIDE has been harnessing the telecoupling framework to navigate the complexities of globalization. Read the article to learn how this approach has provided innovative solutions to pressing societal and environmental challenges at the intersection of human and natural systems and how I-GUIDE is positioned at the forefront of this transformative shift. Featuring insights from experts Jianguo (Jack) Liu , George Percivall , Shaowen Wang , and Mohan Ramamurthy .

Read the Full Article on the Springer Nature Communities Website

VCO Webinar: Supporting Teaching and Learning in Geospatial Data Science - A Curriculum Evaluation Tool

Wednesday, May 22 · 11:00am CT

This workshop will explore integrating computer science with geographic principles using a curriculum evaluation tool, addressing the challenges in educating across the diverse areas of cyberliteracy. Presented by Forrest Bowlick of University of Massachusetts Amherst .

Click here to Register for the Webinar

VCO Webinar: Reexamining Geoprivacy - From Anonymity to a Harm-Based Approach

Wednesday, June 19 · 11:00am CT

This webinar will discuss an approach to geoprivacy that goes beyond anonymity by adopting a harm-based perspective to mitigate biases and risks in geospatial data, including a demo on the CyberGISX platform. Presented by Yue Lin of the 美国芝加哥大学 .

Click here Register for the Webinar

Workshop: Navigating Geospatial Data Science for Mid-Career Researcher and Instructors

July 11-12 · University of Minnesota?·?Minneapolis, MN

This two-day in-person workshop, aimed at mid-career geospatial professionals, will offer hands-on learning with the latest tools, individual feedback, and networking opportunities to integrate geospatial science into their careers, with all expenses covered for attendees. Accepting applications through May 20.

Click here for Workshop Information and to Apply

The latest cutting-edge research and publications from the NSF I-GUIDE Team.

• Telecoupled Impacts of the Russia-Ukraine War on Global Cropland Expansion and Biodiversity by Li Chai et al. and published in Nature Sustainability
• Learning Spatio-Temporal Dynamics on Mobility Networks for Adaptation to Open-World Events by Zhaonan Wang et al. and published in Artificial Intelligence
• Spatiotemporal Data Augmentation of MODIS-Landsat Water Bodies Using Adversarial Networks by Soukaina Filali Boubrahimi et al. and published in Water Resources Research
• SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation by Alexander Michels et al. and published in the International Journal of Geographic Information Science
• Mapping Dynamic Human Sentiments of Heat Exposure with Location-Based Social Media Data by Fangzheng Lyu et al. and published in the International Journal of Geographic Information Science
• CyberGIS-Compute: Middleware for Democratizing Scalable Geocomputation by Alexander Michels et al. and published in SoftwareX
• Global and Local Policies for Respecting Planetary Boundaries: Tradeoffs and Synergies by Thomas Hertel and presented at the 27th Annual Conference on Global Economic Analysis
• Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery by Bowen (Peter) Jin et al. and presented at the 17th ACM International Conference on Web Search and Data Mining
• Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy by SeongKu Kang et al. and presented at ACM on Web Conference 2024
• Geospatial Topological Relation Extraction from Text with Knowledge Augmentation by Wei Hu et al. and presented at the 2024 SIAM International Conference on Data Mining (SDM)
• FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation by Jimeng Shi et al. and published in ArXiv