I-GUIDE Platform
The I-GUIDE Platform provides an open science and collaborative environment for geospatial data-intensive convergence research and education focused on sustainability and resilience challenges and enabled by advanced cyberGIS and cyberinfrastructure. The Platform serves the broad geospatial and sustainability research and education communities by supporting FAIR data principles and democratizing access to advanced cyberGIS & cyberinfrastructure and cutting-edge geospatial AI & data science capabilities. With the Platform you can “map”, “connect” and “discover” multidisciplinary knowledge elements produced by the I-GUIDE project and the broader I-GUIDE community.
VCO:
- Weds Apr 2: Adaptive Capacity in Telecoupled Human & Environmental Systems
- Weds Feb 19: GeoAI-enhanced Community Detection on Spatial Networks
Platform Content:
Spatial AI Challenge
The Spatial AI Challenge is a community-driven initiative that brings together researchers, data scientists, AI enthusiasts, and professionals to advance AI-ready spatial data, as well as machine learning and deep learning models. The challenge emphasizes FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and promotes responsible, open science practices. Hosted on the I-GUIDE Platform, this challenge aims to push the boundaries of spatial AI to tackle complex geospatial problems and address critical resilience and sustainability challenges. Learn more about the collection of 2024-25 projects here.
Platform Content:
- Location Descriptions in Disaster-related Text Messages
- Rethinking Spatial Composite Indicators with the Lens of Machine Learning
- Weds Feb 19: GeoAI-enhanced Community Detection on Spatial Networks
VCO:
Virtual Consulting Offices (VCOs)
VCOs provide a regular channel to share I-GUIDE’s findings, research, and capabilities with the broad science communities. Presenters at these regular online sessions explain the how behind cutting-edge geospatial data science for solving complex social and environmental problems research and education. This is the place to comfortably ask questions and receive understandable answers. Drop us a line if there’s a topic you want to know more about, and access recordings of previous sessions here.
VCO:
I-GUIDE Summer Schools
The I-GUIDE Summer School is more than just an event—it’s a dynamic convergence of minds and ideas shaping the future of geospatial data-intensive sciences. Addressing the most pressing challenges in this context requires a collaborative, multidisciplinary approach. These week-long experiences offer graduate students and early-career scholars a unique opportunity to learn, contribute, and engage with cutting-edge methodologies and technologies in a highly interactive environment.
In the News: Summer School Call for Participants Now Available! Apply before April 14, 2025.
Convergence Curriculum
The Convergence Curriculum for Geospatial Data Science is an integrative framework designed to equip students, scholars, and professionals with the skills to address complex, real-world problems by building foundational literacy across multiple disciplines. Its flexible, multi-tiered structure includes five Foundational Knowledge Threads, leading to Knowledge Connections and Knowledge Convergence, enabling learners to create many pathways of blending various skills, methods, and technologies. Content is available in varying depths (from brief overviews to in-depth modules), allowing for adaptable learning paths. The curriculum is continuously refined based on community feedback, with ongoing development and content releases.
In the News: Summer School Call for Participants Now Available! Apply before April 14, 2025.
Webinar: Teaching & Learning Geospatial Data Science
Platform Content: Visualization and Quick Plots
VCO: Weds March 19: Convergence Curriculum for Geospatial Data Science
Aging Dam Infrastructure
Dams in the U.S. are threatened by age-induced fragility and in many cases, communities and infrastructure below the dams have also increased dramatically over time, raising the risks associated with dam failure. Given that there are over 90,000 such dams in the U.S., I-GUIDE is taking an integrated approach to harnessing “big data” sources so that a national or portfolio risk assessment of these assets can be attempted for the first time. This includes a spatially explicit analysis about what is likely to be impacted when a dam fails, of the cascading effects of those failures on the national economy and other critical infrastructure elements, and the potential resilience of the infrastructure systems given the governance at different levels.
In the News: America’s Aging Dams and Other Infrastructure is an Urgent Insurance Coverage Issue
Geospatial Knowledge Hypercube
In the era of Large Language Models (LLMs) where everything is treated as “text,” the geospatial knowledge hypercube defines a multidimensional and multi-scale structure for integrating text data with heterogeneous geospatial data to discover latent connections and relationships through combining a variety of machine learning approaches. The hypercube lays a foundation for many knowledge discovery applications, such as recognizing geospatial entities and inferring spatial relationships.
Presentation: A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Extreme Events & Disaster Resilience
From tornadoes in the Midwest and hurricanes in the South to wildfires in the West, earthquakes in the Northwest, and blizzards in the Northeast, extreme events and disasters impact every region of the country. It’s not a question of if but when a disaster will occur, making preparedness crucial to minimizing loss and ensuring swift recovery. I-GUIDE researchers are dedicated to advancing disaster resilience by studying evacuation dynamics during wildfires, assessing social vulnerabilities that influence preparedness and response, and developing strategies to build more resilient systems. Such research aims to enhance our ability to anticipate, respond to, and recover from disasters more effectively.
In the News:
- Summer School Call for Participants Now Available! Apply before April 14, 2025.
- Sustainable Governance of Groundwater Resources in Need
VCO: Weds Apr 2: Adaptive Capacity in Telecoupled Human & Environmental Systems
I-GUIDE Team Meeting: Feb 14: Large Scale Time Series Models in Hydrology, Water Level Prediction in Everglades (GeoAI & Data Science)
Presentation: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Recent Publications: Deep Learning and Foundation Models for Weather Prediction: A Survey
Robust Geospatial Data Science
The vast and complex geospatial data represents a unique set of challenges and opportunities. I-GUIDE has been enabling transformative discovery and innovation for tackling fundamental scientific and societal challenges and by developing robust techniques and tools for advancing geospatial data science through harnessing the power of AI and advanced cyberinfrastructure.
Webinar: Teaching & Learning Geospatial Data Science
I-GUIDE Team Meeting: Feb 14: Large Scale Time Series Models in Hydrology, Water Level Prediction in Everglades (GeoAI & Data Science)
Platform Content:
- Visualization and Quick Plots
- Location Descriptions in Disaster-related Text Messages
- Rethinking Spatial Composite Indicators with the Lens of Machine Learning
- Weds Feb 19: GeoAI-enhanced Community Detection on Spatial Networks
VCO:
- Weds Feb 19: GeoAI-enhanced Community Detection on Spatial Networks
- Tues March 11: Extracting Location Details from Social Media
Presentation: A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
Telecoupling and Cross-scale Understanding of Sustainability
Have you heard of the butterfly effect? How might a small event in one place have a great impact on a far away place? Actually something more mundane happens regularly and all the time. A drought in the midwest can cause biodiversity loss in the Amazon forest regions. Studying such an effect is termed telecoupling and researchers in I-GUIDE are collaborating to understand, quantify such interconnections of far away places. An interdisciplinary team of ecologists, economists, geoscientists, and computer scientists are working to better understand how the impacts of events happen across various spatial and temporal scales and how such understanding can help develop sustainability solutions.
VCO: Weds Apr 2: Adaptive Capacity in Telecoupled Human & Environmental Systems
In the News: Sustainable Governance of Groundwater Resources in Need
Recent Publications: Adoption of improved crop varieties limited biodiversity losses, terrestrial carbon emissions, and cropland expansion in the tropics