NSF I-GUIDE
NSF I-GUIDE
  • Видео 53
  • Просмотров 2 543
I-GUIDE Webinar: Teaching & Learning Geospatial Data Science
Competence with geospatial data science involves a mixture of knowledge and skills in analytics, computing, and the spatial sciences. The ability to communicate effectively about inherent uncertainty and ethical considerations, often via data visualizations, is also part of the workflow. In designing learning experiences for students to practice these workflows, what approaches are possible and which work better in different learning environments? How can instructors use messy real-world data, case studies, and classroom, laboratory or field work opportunities to increase the likelihood that the knowledge and skills will be transferable across contexts and disciplines? Join us as we discu...
Просмотров: 17

Видео

Estimating Blue Water Footprint of Elephant Butte Reservoir: Machine Learning for Water Management
Просмотров 17День назад
The arid southwestern United States encompasses diverse ecosystems characterized by low precipitation, high temperatures, and unique desert ecosystems. The US-Mexico border region, inhabited by over 19 million people, including a large Latinx population, faces escalating water scarcity due to climate change and increasing multi-sectoral demands. Water allocation between the US and Mexico is pri...
Introducing R Spatial Notebook Series: Reproducible Geospatial Analysis for Social Sciences
Просмотров 28День назад
The R Spatial Notebook series is a new tool built in the I-GUIDE platform which leverages the extensive IPUMS data repository to support the development and implementation of reproducible geospatial data science workflows for social science researchers. The notebook series provides a platform for integrating and analyzing population and environmental data at multiple spatial scales. The first r...
Introducing I GUIDE
Просмотров 363 месяца назад
The National Science Foundation (NSF) Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE) aims to transform geospatial data-intensive sciences through integration of AI and cyberGIS, reproducible data-intensive analytics and modeling, FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, and innovative education and workforce develop...
I-GUIDE Platform Introduction
Просмотров 213 месяца назад
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.
Geospatial Data Integration Middleware for Exploratory Analytics by Nicholas Case
Просмотров 20Год назад
Recording of "Geospatial Data Integration Middleware for Exploratory Analytics Addressing Regional Natural Resource Grand Challenges in the U.S. Mountain West" by Nicholas Case of the University of Wyoming. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, ...
Decentralized Infrastructure for Reproducible and Replicable Geographical Science by Joseph Holler
Просмотров 53Год назад
Recording of "Decentralized Infrastructure for Reproducible and Replicable Geographical Science" by Joseph Holler of Middlebury College. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Advanced CI for Enabling Convergenc...
Towards Carbon-Aware Spatial Computing: Challenges and Opportunities by Bharat Jayaprakash
Просмотров 27Год назад
Recording of "Towards Carbon-Aware Spatial Computing: Challenges and Opportunities" talk by Bharat Jayaprakash of the University of Minnesota. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Advanced CI for Enabling Conv...
Streamlined HPC Environments with CVMFS and CyberGIS-Compute by Alexander Michels
Просмотров 47Год назад
Recording of "Streamlined HPC Environments with CVMFS and CyberGIS-Compute" talk by Alexander Michels of the University of Illinois at Urbana-Champaign. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Advanced CI for Ena...
Fine Tuning Mobilenet Neural Networks for Oil-Spill Detection by Caixia Wang
Просмотров 42Год назад
Recording of "Fine Tuning Mobilenet Neural Networks for Oil-Spill Detection" talk by Caixia Wang of the University of Alaska at Anchorage. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Geospatial AI and Data Science fo...
Large-Scale Google Street View Images for Urban Change Detection by Fangzheng Lyu
Просмотров 53Год назад
Recording of "Large-Scale Google Street View Images for Urban Change Detection" talk by Fangzheng Lyu of the University of Illinois Urbana-Champaign. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Geospatial AI and Data...
Deep Q-Learning Framework for Quantitative Climate Change Adaptation Policy by Orhun Aydin
Просмотров 18Год назад
Recording of "Deep Q-Learning Framework for Quantitative Climate Change Adaptation Policy for Florida Road Network Due to Extreme Precipitation" talk by Orhun Aydin of Saint Louis University. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of t...
Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates by Jimeng Shi
Просмотров 63Год назад
Recording of "Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates" talk by Jimeng Shi of Florida International University at Anchorage. Given on October 6, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of the Paper Session on Geospatial...
I-GUIDE Climbers by Nicholas Manning and Adam Tonks
Просмотров 39Год назад
Recording of "I-GUIDE Climbers: A Model for Multidisciplinary Academic Labs for Early Career Development" by Nicholas Manning of Michigan State University and Adam Tonks of the University of Illinois, Urbana-Champaign. Given on October 5, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City O...
Solving Geospatial Problems under Extreme Time Constraints by Coline Dony
Просмотров 16Год назад
Recording of "Solving Geospatial Problems under Extreme Time Constraints: A Call for Inclusive Geocomputational Education" talk by Coline Dony of The American Association of Geographers (AAG). Given on October 5, 2023 as part of the 2023 I-GUIDE Forum, Harnessing the Geospatial Data Revolution for Sustainability Solutions, held at Columbia University in New York City October 4-6, 2023. Part of ...
SIMPLE-G in the Classroom and the Cloud by Thomas Hertel
Просмотров 29Год назад
SIMPLE-G in the Classroom and the Cloud by Thomas Hertel
Curriculum Design of Artificial Intelligence for Sustainability in Secondary School by Jinyi Cai
Просмотров 47Год назад
Curriculum Design of Artificial Intelligence for Sustainability in Secondary School by Jinyi Cai
Unexpected Environmental Spillover Effects of the Soybean Trade by Jianguo Liu
Просмотров 40Год назад
Unexpected Environmental Spillover Effects of the Soybean Trade by Jianguo Liu
Spatial Variability Aware Sea Level Rise Prediction by Subhankar Ghosh
Просмотров 20Год назад
Spatial Variability Aware Sea Level Rise Prediction by Subhankar Ghosh
Spatiotemporal Synthesis of High-Resolution Salinity Data by Dong Liang
Просмотров 21Год назад
Spatiotemporal Synthesis of High-Resolution Salinity Data by Dong Liang
A Convergent Approach to Evaluating Shocks by Nicholas Manning
Просмотров 10Год назад
A Convergent Approach to Evaluating Shocks by Nicholas Manning
FloodSafeHome: Empowering Geospatial Decision Support Tool by Jiyoung Lee
Просмотров 6Год назад
FloodSafeHome: Empowering Geospatial Decision Support Tool by Jiyoung Lee
Investigating Hydrological Responses and Shrinkage Patterns of the Great Salt Lake
Просмотров 15Год назад
Investigating Hydrological Responses and Shrinkage Patterns of the Great Salt Lake
Margins of Adaptation to Human Heat Stress: Local, National, and Global Socioeconomic Responses
Просмотров 25Год назад
Margins of Adaptation to Human Heat Stress: Local, National, and Global Socioeconomic Responses
Plenary Talk: Accelerating Continental-Scale Groundwater Simulation by Reed Maxwell
Просмотров 90Год назад
Plenary Talk: Accelerating Continental-Scale Groundwater Simulation by Reed Maxwell
Plenary Talk: Potential of Accessible Research and Education via Science Gateways by Michael Zentner
Просмотров 4Год назад
Plenary Talk: Potential of Accessible Research and Education via Science Gateways by Michael Zentner
Plenary Talk: Geospatial Hypercube by Shaowen Wang and Zhaonan Wang
Просмотров 42Год назад
Plenary Talk: Geospatial Hypercube by Shaowen Wang and Zhaonan Wang
Keynote: Metacoupling: A New Convergence Frontier for Global Sustainability by Jianguo "Jack" Liu
Просмотров 65Год назад
Keynote: Metacoupling: A New Convergence Frontier for Global Sustainability by Jianguo "Jack" Liu
Keynote: Geospatial for Everything, Geospatial for Everyone by Barbara Ryan
Просмотров 17Год назад
Keynote: Geospatial for Everything, Geospatial for Everyone by Barbara Ryan
Panel with the Council of Geospatial Leaders
Просмотров 36Год назад
Panel with the Council of Geospatial Leaders

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